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Liu D, Hennelly BM. Wavenumber Calibration Protocol for Raman Spectrometers Using Physical Modelling and a Fast Search Algorithm. APPLIED SPECTROSCOPY 2024; 78:790-805. [PMID: 38825581 PMCID: PMC11340246 DOI: 10.1177/00037028241254847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/15/2024] [Indexed: 06/04/2024]
Abstract
A wavenumber calibration protocol is proposed that replaces polynomial fitting to relate the detector axis and the wavenumber shift. The physical model of the Raman spectrometer is used to derive a mathematical expression relating the detector plane to the wavenumber shift, in terms of the system parameters including the spectrograph focal length, the grating angle, and the laser wavelength; the model is general to both reflection and transmission gratings. A fast search algorithm detects the set of parameters that best explains the position of spectral lines recorded on the detector for a known reference standard. Using three different reference standards, four different systems, and hundreds of spectra recorded with a rotating grating, we demonstrate the superior accuracy of the technique, especially in bands outside of the outermost reference peaks when compared with polynomial fitting. We also provide a thorough review of wavenumber calibration for Raman spectroscopy and we introduce several new evaluation metrics to this field borrowed from chemometrics, including leave-one-out and leave-half-out cross-validation.
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Affiliation(s)
- Dongyue Liu
- Department of Electronic Engineering, Maynooth University, Kildare, Ireland
| | - Bryan M. Hennelly
- Department of Electronic Engineering, Maynooth University, Kildare, Ireland
- Department of Computer Science, Maynooth University, Kildare, Ireland
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2
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Pavillon N, Lim EL, Tanaka A, Hori S, Sakaguchi S, Smith NI. Non-invasive detection of regulatory T cells with Raman spectroscopy. Sci Rep 2024; 14:14025. [PMID: 38890425 PMCID: PMC11189440 DOI: 10.1038/s41598-024-64536-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024] Open
Abstract
Regulatory T cells (Tregs) are a type of lymphocyte that is key to maintaining immunological self-tolerance, with great potential for therapeutic applications. A long-standing challenge in the study of Tregs is that the only way they can be unambiguously identified is by using invasive intracellular markers. Practically, the purification of live Tregs is often compromised by other cell types since only surrogate surface markers can be used. We present here a non-invasive method based on Raman spectroscopy that can detect live unaltered Tregs by coupling optical detection with machine learning implemented with regularized logistic regression. We demonstrate the validity of this approach first on murine cells expressing a surface Foxp3 reporter, and then on peripheral blood human T cells. By including methods to account for sample purity, we could generate reliable models that can identify Tregs with an accuracy higher than 80%, which is already comparable with typical sorting purities achievable with standard methods that use proxy surface markers. We could also demonstrate that it is possible to reliably detect Tregs in fully independent donors that are not part of the model training, a key milestone for practical applications.
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Affiliation(s)
- N Pavillon
- Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
| | - E L Lim
- Experimental Immunology, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan
| | - A Tanaka
- Experimental Immunology, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan
- Department of Frontier Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan
| | - S Hori
- Laboratory of Immunology and Microbiology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Hongo 7-3-1, Tokyo, 113-0033, Japan
| | - S Sakaguchi
- Experimental Immunology, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan
- Laboratory of Experimental Immunology, Institute for Life and Medical Sciences, Kyoto University, Sakyo-ku, Shogoin Kawahara-cho 53, Kyoto, 606-8507, Japan
| | - N I Smith
- Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Yamadaoka 2-8, Suita, Osaka, 565-0871, Japan.
- Open and Transdisciplinary Research Institute (OTRI), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
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3
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Schuler I, Schuler M, Frick T, Jimenez D, Maghnouj A, Hahn S, Zewail R, Gerwert K, El-Mashtoly SF. Efficacy of tyrosine kinase inhibitors examined by a combination of Raman micro-spectroscopy and a deep wavelet scattering-based multivariate analysis framework. Analyst 2024; 149:2004-2015. [PMID: 38426854 DOI: 10.1039/d3an02235h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
HER2 is a crucial therapeutic target in breast cancer, and the survival rate of breast cancer patients has increased because of this receptor's inhibition. However, tumors have shown resistance to this therapeutic strategy due to oncogenic mutations that decrease the binding of several HER2-targeted drugs, including lapatinib, and confer resistance to this drug. Neratinib can overcome this drug resistance and effectively inhibit HER2 signaling and tumor growth. In the present study, we examined the efficacy of lapatinib and neratinib using breast cancer cells by Raman microscopy combined with a deep wavelet scattering-based multivariate analysis framework. This approach discriminated between control cells and drug-treated cells with high accuracy, compared to classical principal component analysis. Both lapatinib and neratinib induced changes in the cellular biochemical composition. Furthermore, the Raman results were compared with the results of several in vitro assays. For instance, drug-treated cells exhibited (i) inhibition of ERK and AKT phosphorylation, (ii) inhibition of cellular proliferation, (iii) cell-cycle arrest, and (iv) apoptosis as indicated by western blotting, real-time cell analysis (RTCA), cell-cycle analysis, and apoptosis assays. Thus, the observed Raman spectral changes are attributed to cell-cycle arrest and apoptosis. The results also indicated that neratinib is more potent than lapatinib. Moreover, the uptake and distribution of lapatinib in cells were visualized through its label-free marker bands in the fingerprint region using Raman spectral imaging. These results show the prospects of Raman microscopy in drug evaluation and presumably in drug discovery.
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Affiliation(s)
- Irina Schuler
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Martin Schuler
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Tatjana Frick
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Dairovys Jimenez
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Abdelouahid Maghnouj
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, Bochum, Germany
| | - Stephan Hahn
- Department of Molecular GI-Oncology, Clinical Research Center, Ruhr-University Bochum, Bochum, Germany
| | - Rami Zewail
- Department of Computer Science & Engineering, Egypt-Japan University of Science and Technology, New Borg El-Arab, Egypt
| | - Klaus Gerwert
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Samir F El-Mashtoly
- Center for Protein Diagnostics, Ruhr-University Bochum, Bochum, Germany.
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
- Biotechnology Program, Institute of Basic and Applied Science, Egypt-Japan University of Science and Technology, New Borg El-Arab, Egypt
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4
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Ju Y, Neumann O, Bajomo M, Zhao Y, Nordlander P, Halas NJ, Patel A. Identifying Surface-Enhanced Raman Spectra with a Raman Library Using Machine Learning. ACS NANO 2023; 17:21251-21261. [PMID: 37910670 DOI: 10.1021/acsnano.3c05510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Since its discovery, surface-enhanced Raman spectroscopy (SERS) has shown outstanding promise of identifying trace amounts of unknown molecules in rapid, portable formats. However, the many different types of nanoparticles or nanostructured metallic SERS substrates created over the past few decades show substantial variability in the SERS spectra they provide. These inconsistencies have even raised speculation that substrate-specific SERS spectral libraries must be compiled for practical use of this type of spectroscopy. Here, we report a machine learning (ML) algorithm that can identify chemicals by matching their SERS spectra to those of a standard Raman spectral library. We use an approach analogous to facial recognition that utilizes feature extraction in the presence of multiple nuisance variables for spectral recognition. The key element is a metric we call "Characteristic Peak Similarity" (CaPSim) that focuses on the characteristic peaks in the SERS spectra. It has the flexibility to accommodate substrate-specific variability when quantifying the degree of similarity to a Raman spectrum. Analysis shows that CaPSim substantially outperforms existing spectral matching algorithms in terms of accuracy. This ML-based approach could greatly facilitate the spectroscopic identification of molecules in fieldable SERS applications.
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Affiliation(s)
| | | | | | - Yiping Zhao
- Department of Physics and Astronomy, University of Georgia, Athens, Georgia 30602, United States
| | | | | | - Ankit Patel
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, United States
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5
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Cosmidis J. Will tomorrow's mineral materials be grown? Microb Biotechnol 2023; 16:1713-1722. [PMID: 37522764 PMCID: PMC10443349 DOI: 10.1111/1751-7915.14298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 08/01/2023] Open
Abstract
Biomineralization, the capacity to form minerals, has evolved in a great diversity of bacterial lineages as an adaptation to different environmental conditions and biological functions. Microbial biominerals often display original properties (morphology, composition, structure, association with organics) that significantly differ from those of abiotically formed counterparts, altogether defining the 'mineral phenotype'. In principle, it should be possible to take advantage of microbial biomineralization processes to design and biomanufacture advanced mineral materials for a range of technological applications. In practice, this has rarely been done so far and only for a very limited number of biomineral types. This is mainly due to our poor understanding of the underlying molecular mechanisms controlling microbial biomineralization pathways, preventing us from developing bioengineering strategies aiming at improving biomineral properties for different applications. Another important challenge is the difficulty to upscale microbial biomineralization from the lab to industrial production. Addressing these challenges will require combining expertise from environmental microbiologists and geomicrobiologists, who have historically been working at the forefront of research on microbe-mineral interactions, alongside bioengineers and material scientists. Such interdisciplinary efforts may in the future allow the emergence of a mineral biomanufacturing industry, a critical tool towards the development more sustainable and circular bioeconomies.
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Affiliation(s)
- Julie Cosmidis
- Department of Earth SciencesUniversity of OxfordOxfordUK
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6
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Liu Z, Chen S, Wu J. Advances in ultrahigh-throughput screening technologies for protein evolution. Trends Biotechnol 2023; 41:1168-1181. [PMID: 37088569 DOI: 10.1016/j.tibtech.2023.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/28/2023] [Accepted: 03/14/2023] [Indexed: 04/25/2023]
Abstract
Inspired by natural evolution, directed evolution randomly mutates the gene of interest through artificial evolution conditions with variants being screened for the required properties. Directed evolution is vital to the enhancement of protein properties and comprises the construction of libraries with considerable diversity as well as screening methods with sufficient efficiency as key steps. Owing to the various characteristics of proteins, specific methods are urgently needed for library screening, which is one of the main limiting factors in accelerating evolution. This review initially organizes the principles of ultrahigh-throughput screening from the perspective of protein properties. It then provides a comprehensive introduction to the latest progress and future trends in ultrahigh-throughput screening technologies for directed evolution.
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Affiliation(s)
- Zhanzhi Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; International Joint Laboratory on Food Safety, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China
| | - Sheng Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; International Joint Laboratory on Food Safety, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China
| | - Jing Wu
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China; International Joint Laboratory on Food Safety, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China.
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7
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Osadare IE, Xiong L, Rubio I, Neugebauer U, Press AT, Ramoji A, Popp J. Raman Spectroscopy Profiling of Splenic T-Cells in Sepsis and Endotoxemia in Mice. Int J Mol Sci 2023; 24:12027. [PMID: 37569403 PMCID: PMC10419286 DOI: 10.3390/ijms241512027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Sepsis is a life-threatening condition that results from an overwhelming and disproportionate host response to an infection. Currently, the quality and extent of the immune response are evaluated based on clinical symptoms and the concentration of inflammatory biomarkers released or expressed by the immune cells. However, the host response toward sepsis is heterogeneous, and the roles of the individual immune cell types have not been fully conceptualized. During sepsis, the spleen plays a vital role in pathogen clearance, such as bacteria by an antibody response, macrophage bactericidal capacity, and bacterial endotoxin detoxification. This study uses Raman spectroscopy to understand the splenic T-lymphocyte compartment profile changes during bona fide bacterial sepsis versus hyperinflammatory endotoxemia. The Raman spectral analysis showed marked changes in splenocytes of mice subjected to septic peritonitis principally in the DNA region, with minor changes in the amino acids and lipoprotein areas, indicating significant transcriptomic activity during sepsis. Furthermore, splenocytes from mice exposed to endotoxic shock by injection of a high dose of lipopolysaccharide showed significant changes in the protein and lipid profiles, albeit with interindividual variations in inflammation severity. In summary, this study provided experimental evidence for the applicability and informative value of Raman spectroscopy for profiling the immune response in a complex, systemic infection scenario. Importantly, changes within the acute phase of inflammation onset (24 h) were reliably detected, lending support to the concept of early treatment and severity control by extracorporeal Raman profiling of immunocyte signatures.
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Affiliation(s)
- Ibukun Elizabeth Osadare
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
| | - Ling Xiong
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
| | - Ignacio Rubio
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany
- Leibniz Center for Photonics in Infection Research, Jena University Hospital, Friedrich Schiller University Jena, 07747 Jena, Germany
| | - Ute Neugebauer
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Adrian T. Press
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany
- Leibniz Center for Photonics in Infection Research, Jena University Hospital, Friedrich Schiller University Jena, 07747 Jena, Germany
- Faculty of Medicine, Friedrich Schiller University Jena, Kastanienstraße 1, 07747 Jena, Germany
| | - Anuradha Ramoji
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Juergen Popp
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
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8
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Lelliott PM, Hobro AJ, Pavillon N, Nishide M, Okita Y, Mizuno Y, Obata S, Nameki S, Yoshimura H, Kumanogoh A, Smith NI. Single-cell Raman microscopy with machine learning highlights distinct biochemical features of neutrophil extracellular traps and necrosis. Sci Rep 2023; 13:10093. [PMID: 37344494 DOI: 10.1038/s41598-023-36667-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/07/2023] [Indexed: 06/23/2023] Open
Abstract
The defining biology that distinguishes neutrophil extracellular traps (NETs) from other forms of cell death is unresolved, and techniques which unambiguously identify NETs remain elusive. Raman scattering measurement provides a holistic overview of cell molecular composition based on characteristic bond vibrations in components such as lipids and proteins. We collected Raman spectra from NETs and freeze/thaw necrotic cells using a custom built high-throughput platform which is able to rapidly measure spectra from single cells. Principal component analysis of Raman spectra from NETs clearly distinguished them from necrotic cells despite their similar morphology, demonstrating their fundamental molecular differences. In contrast, classical techniques used for NET analysis, immunofluorescence microscopy, extracellular DNA, and ELISA, could not differentiate these cells. Additionally, machine learning analysis of Raman spectra indicated subtle differences in lipopolysaccharide (LPS)-induced as opposed to phorbol myristate acetate (PMA)-induced NETs, demonstrating the molecular composition of NETs varies depending on the stimulant used. This study demonstrates the benefits of Raman microscopy in discriminating NETs from other types of cell death and by their pathway of induction.
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Affiliation(s)
- Patrick Michael Lelliott
- Laboratory of Biophotonics, Immunology Frontier Research Center, Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
| | - Alison Jane Hobro
- Laboratory of Biophotonics, Immunology Frontier Research Center, Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan
| | - Nicolas Pavillon
- Laboratory of Biophotonics, Immunology Frontier Research Center, Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan
| | - Masayuki Nishide
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yasutaka Okita
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yumiko Mizuno
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Sho Obata
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Shinichiro Nameki
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hanako Yoshimura
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- Laboratory of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Open and Transdisciplinary Research Institute (OTRI), Osaka University, Osaka, Japan
| | - Nicholas Isaac Smith
- Laboratory of Biophotonics, Immunology Frontier Research Center, Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
- Open and Transdisciplinary Research Institute (OTRI), Osaka University, Osaka, Japan.
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9
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Mochizuki K, Kumamoto Y, Maeda S, Tanuma M, Kasai A, Takemura M, Harada Y, Hashimoto H, Tanaka H, Smith NI, Fujita K. High-throughput line-illumination Raman microscopy with multislit detection. BIOMEDICAL OPTICS EXPRESS 2023; 14:1015-1026. [PMID: 36950233 PMCID: PMC10026569 DOI: 10.1364/boe.480611] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/27/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
Raman microscopy is an emerging tool for molecular imaging and analysis of living samples. Use of Raman microscopy in life sciences is, however, still limited because of its slow measurement speed for spectral imaging and analysis. We developed a multiline-illumination Raman microscope to achieve ultrafast Raman spectral imaging. A spectrophotometer equipped with a periodic array of confocal slits detects Raman spectra from a sample irradiated by multiple line illuminations. A comb-like Raman hyperspectral image is formed on a two-dimensional detector in the spectrophotometer, and a hyperspectral Raman image is acquired by scanning the sample with multiline illumination array. By irradiating a sample with 21 simultaneous illumination lines, we achieved high-throughput Raman hyperspectral imaging of mouse brain tissue, acquiring 1108800 spectra in 11.4 min. We also measured mouse kidney and liver tissue as well as conducted label-free live-cell molecular imaging. The ultrafast Raman hyperspectral imaging enabled by the presented technique will expand the possible applications of Raman microscopy in biological and medical fields.
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Affiliation(s)
- Kentaro Mochizuki
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- These authors contributed equally
| | - Yasuaki Kumamoto
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- These authors contributed equally
| | - Shunsuke Maeda
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
| | - Masato Tanuma
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Atsushi Kasai
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Masashi Takemura
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Hitoshi Hashimoto
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka 565-0871, Japan
- Institute for Datability Science, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Molecular Pharmaceutical Sciences, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hideo Tanaka
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Nicholas Isaac Smith
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Biophotonics Laboratory, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Advanced Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Osaka University, Suita, Osaka 565-0871, Japan
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10
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Lu N, Tay HM, Petchakup C, He L, Gong L, Maw KK, Leong SY, Lok WW, Ong HB, Guo R, Li KHH, Hou HW. Label-free microfluidic cell sorting and detection for rapid blood analysis. LAB ON A CHIP 2023; 23:1226-1257. [PMID: 36655549 DOI: 10.1039/d2lc00904h] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Blood tests are considered as standard clinical procedures to screen for markers of diseases and health conditions. However, the complex cellular background (>99.9% RBCs) and biomolecular composition often pose significant technical challenges for accurate blood analysis. An emerging approach for point-of-care blood diagnostics is utilizing "label-free" microfluidic technologies that rely on intrinsic cell properties for blood fractionation and disease detection without any antibody binding. A growing body of clinical evidence has also reported that cellular dysfunction and their biophysical phenotypes are complementary to standard hematoanalyzer analysis (complete blood count) and can provide a more comprehensive health profiling. In this review, we will summarize recent advances in microfluidic label-free separation of different blood cell components including circulating tumor cells, leukocytes, platelets and nanoscale extracellular vesicles. Label-free single cell analysis of intrinsic cell morphology, spectrochemical properties, dielectric parameters and biophysical characteristics as novel blood-based biomarkers will also be presented. Next, we will highlight research efforts that combine label-free microfluidics with machine learning approaches to enhance detection sensitivity and specificity in clinical studies, as well as innovative microfluidic solutions which are capable of fully integrated and label-free blood cell sorting and analysis. Lastly, we will envisage the current challenges and future outlook of label-free microfluidics platforms for high throughput multi-dimensional blood cell analysis to identify non-traditional circulating biomarkers for clinical diagnostics.
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Affiliation(s)
- Nan Lu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
| | - Hui Min Tay
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Chayakorn Petchakup
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Linwei He
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Lingyan Gong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Kay Khine Maw
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Sheng Yuan Leong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Wan Wei Lok
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Hong Boon Ong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Ruya Guo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - King Ho Holden Li
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
| | - Han Wei Hou
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Clinical Sciences Building, 308232, Singapore
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11
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Pavillon N, Smith NI. Non-invasive monitoring of T cell differentiation through Raman spectroscopy. Sci Rep 2023; 13:3129. [PMID: 36813799 PMCID: PMC9947172 DOI: 10.1038/s41598-023-29259-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 02/01/2023] [Indexed: 02/24/2023] Open
Abstract
The monitoring of dynamic cellular behaviors remains a technical challenge for most established techniques used nowadays for single-cell analysis, as most of them are either destructive, or rely on labels that can affect the long-term functions of cells. We employ here label-free optical techniques to non-invasively monitor the changes that occur in murine naive T cells upon activation and subsequent differentiation into effector cells. Based on spontaneous Raman single-cell spectra, we develop statistical models that allow the detection of activation, and employ non-linear projection methods to delineate the changes occurring over a several day period spanning early differentiation. We show that these label-free results have very high correlation with known surface markers of activation and differentiation, while also providing spectral models that allow the identification of the underlying molecular species that are representative of the biological process under study.
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Affiliation(s)
- Nicolas Pavillon
- Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka, 565-0871, Japan.
| | - Nicholas I. Smith
- grid.136593.b0000 0004 0373 3971Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, Osaka 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Open and Transdisciplinary Research Institute (OTRI), Osaka University, Yamadaoka 3-1, Suita, Osaka 565-0871 Japan
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12
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Mangini M, Ferrara MA, Zito G, Managò S, Luini A, De Luca AC, Coppola G. Cancer metabolic features allow discrimination of tumor from white blood cells by label-free multimodal optical imaging. Front Bioeng Biotechnol 2023; 11:1057216. [PMID: 36815877 PMCID: PMC9928723 DOI: 10.3389/fbioe.2023.1057216] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
Circulating tumor cells (CTCs) are tumor cells that have penetrated the circulatory system preserving tumor properties and heterogeneity. Detection and characterization of CTCs has high potential clinical values and many technologies have been developed for CTC identification. These approaches remain challenged by the extraordinary rarity of CTCs and the difficulty of efficiently distinguishing cancer from the much larger number of white blood cells in the bloodstream. Consequently, there is still a need for efficient and rapid methods to capture the broad spectrum of tumor cells circulating in the blood. Herein, we exploit the peculiarities of cancer metabolism for discriminating cancer from WBCs. Using deuterated glucose and Raman microscopy we show that a) the known ability of cancer cells to take up glucose at greatly increased rates compared to non-cancer cells results in the lipid generation and accumulation into lipid droplets and, b) by contrast, leukocytes do not appear to generate visible LDs. The difference in LD abundance is such that it provides a reliable parameter for distinguishing cancer from blood cells. For LD sensitive detections in a cell at rates suitable for screening purposes, we test a polarization-sensitive digital holographic imaging (PSDHI) technique that detects the birefringent properties of the LDs. By using polarization-sensitive digital holographic imaging, cancer cells (prostate cancer, PC3 and hepatocarcinoma cells, HepG2) can be rapidly discriminated from leukocytes with reliability close to 100%. The combined Raman and PSDHI microscopy platform lays the foundations for the future development of a new label-free, simple and universally applicable cancer cells' isolation method.
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Affiliation(s)
- Maria Mangini
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Experimental Endocrinology and Oncology “G. Salvatore”, Second Unit, National Research Council, Naples, Italy
| | - Maria Antonietta Ferrara
- Laboratory of Optics and Photonics, Institute of Applied Sciences and Intelligent Systems, Unit of Naples, National Research Council, Naples, Italy
| | - Gianluigi Zito
- Laboratory of Optics and Photonics, Institute of Applied Sciences and Intelligent Systems, Unit of Naples, National Research Council, Naples, Italy
| | - Stefano Managò
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Experimental Endocrinology and Oncology “G. Salvatore”, Second Unit, National Research Council, Naples, Italy
| | - Alberto Luini
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Experimental Endocrinology and Oncology “G. Salvatore”, Second Unit, National Research Council, Naples, Italy,*Correspondence: Alberto Luini, ; Anna Chiara De Luca, ; Giuseppe Coppola,
| | - Anna Chiara De Luca
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Experimental Endocrinology and Oncology “G. Salvatore”, Second Unit, National Research Council, Naples, Italy,*Correspondence: Alberto Luini, ; Anna Chiara De Luca, ; Giuseppe Coppola,
| | - Giuseppe Coppola
- Laboratory of Optics and Photonics, Institute of Applied Sciences and Intelligent Systems, Unit of Naples, National Research Council, Naples, Italy,*Correspondence: Alberto Luini, ; Anna Chiara De Luca, ; Giuseppe Coppola,
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13
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Ye S, You Q, Song S, Wang H, Wang C, Zhu L, Yang Y. Nanostructures and Nanotechnologies for the Detection of Extracellular Vesicle. Adv Biol (Weinh) 2023; 7:e2200201. [PMID: 36394211 DOI: 10.1002/adbi.202200201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/17/2022] [Indexed: 11/19/2022]
Abstract
Liquid biopsy has been taken as a minimally invasive examination and a promising surrogate to the clinically applied tissue-based test for the diagnosis and molecular analysis of cancer. Extracellular vesicles (EVs) carry complex molecular information from the tumor, allowing for the multicomponent analysis of cancer and would be beneficial to personalized medicine. In this review, the advanced nanomaterials and nanotechniques for the detection and molecular profiling of EVs, highlight the advantages of nanotechnology in the high-purity isolation and the high-sensitive and high-specific identification of EVs, are summarized. An outlook on the clinical application of nanotechnology-based liquid biopsy in the diagnosis, prognostication, and surveillance of cancer is also provided. It provides information for developing liquid biopsy based on EVs by discussing the advantages and challenges of functionalized nanomaterials and various nanotechnologies.
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Affiliation(s)
- Siyuan Ye
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.,Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Qing You
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China
| | - Shuya Song
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Huayi Wang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,Translational Medicine Center, Chinese Institute for Brain Research (CIBR), Beijing, 102206, P. R. China
| | - Chen Wang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Ling Zhu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yanlian Yang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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14
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Naumann M, Arend N, Guliev RR, Kretzer C, Rubio I, Werz O, Neugebauer U. Label-Free Characterization of Macrophage Polarization Using Raman Spectroscopy. Int J Mol Sci 2023; 24:ijms24010824. [PMID: 36614272 PMCID: PMC9821063 DOI: 10.3390/ijms24010824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/23/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
Macrophages are important cells of the innate immune system that play many different roles in host defense, a fact that is reflected by their polarization into many distinct subtypes. Depending on their function and phenotype, macrophages can be grossly classified into classically activated macrophages (pro-inflammatory M1 cells), alternatively activated macrophages (anti-inflammatory M2 cells), and non-activated cells (resting M0 cells). A fast, label-free and non-destructive characterization of macrophage phenotypes could be of importance for studying the contribution of the various subtypes to numerous pathologies. In this work, single cell Raman spectroscopic imaging was applied to visualize the characteristic phenotype as well as to discriminate between different human macrophage phenotypes without any label and in a non-destructive manner. Macrophages were derived by differentiation of peripheral blood monocytes of human healthy donors and differently treated to yield M0, M1 and M2 phenotypes, as confirmed by marker analysis using flow cytometry and fluorescence imaging. Raman images of chemically fixed cells of those three macrophage phenotypes were processed using chemometric methods of unmixing (N-FINDR) and discrimination (PCA-LDA). The discrimination models were validated using leave-one donor-out cross-validation. The results show that Raman imaging is able to discriminate between pro- and anti-inflammatory macrophage phenotypes with high accuracy in a non-invasive, non-destructive and label-free manner. The spectral differences observed can be explained by the biochemical characteristics of the different phenotypes.
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Affiliation(s)
- Max Naumann
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Natalie Arend
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Rustam R. Guliev
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Christian Kretzer
- Department of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Friedrich Schiller University Jena, Philosophenweg 14, 07743 Jena, Germany
| | - Ignacio Rubio
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Oliver Werz
- Department of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Friedrich Schiller University Jena, Philosophenweg 14, 07743 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Philosophenweg 7, 07743 Jena, Germany
| | - Ute Neugebauer
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Philosophenweg 7, 07743 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- Correspondence:
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15
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Pistiki A, Hornung F, Silge A, Ramoji A, Ryabchykov O, Bocklitz TW, Weber K, Löffler B, Popp J, Deinhardt‐Emmer S. Raman spectroscopic cellomics for the detection of SARS-CoV-2-associated neutrophil activation after TNF-α stimulation. Clin Transl Med 2022; 12:e1139. [PMID: 36536489 PMCID: PMC9763540 DOI: 10.1002/ctm2.1139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Aikaterini Pistiki
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Franziska Hornung
- Institute of Medical Microbiology, Jena University HospitalJenaGermany
| | - Anja Silge
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Anuradha Ramoji
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Oleg Ryabchykov
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Thomas W. Bocklitz
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Karina Weber
- InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Bettina Löffler
- Institute of Medical Microbiology, Jena University HospitalJenaGermany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
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16
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Böke JS, Popp J, Krafft C. Optical photothermal infrared spectroscopy with simultaneously acquired Raman spectroscopy for two-dimensional microplastic identification. Sci Rep 2022; 12:18785. [PMID: 36335148 PMCID: PMC9637219 DOI: 10.1038/s41598-022-23318-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
In recent years, vibrational spectroscopic techniques based on Fourier transform infrared (FTIR) or Raman microspectroscopy have been suggested to fulfill the unmet need for microplastic particle detection and identification. Inter-system comparison of spectra from reference polymers enables assessing the reproducibility between instruments and advantages of emerging quantum cascade laser-based optical photothermal infrared (O-PTIR) spectroscopy. In our work, IR and Raman spectra of nine plastics, namely polyethylene, polypropylene, polyvinyl chloride, polyethylene terephthalate, polycarbonate, polystyrene, silicone, polylactide acid and polymethylmethacrylate were simultaneously acquired using an O-PTIR microscope in non-contact, reflection mode. Comprehensive band assignments were presented. We determined the agreement of O-PTIR with standalone attenuated total reflection FTIR and Raman spectrometers based on the hit quality index (HQI) and introduced a two-dimensional identification (2D-HQI) approach using both Raman- and IR-HQIs. Finally, microplastic particles were prepared as test samples from known materials by wet grinding, O-PTIR data were collected and subjected to the 2D-HQI identification approach. We concluded that this framework offers improved material identification of microplastic particles in environmental, nutritious and biological matrices.
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Affiliation(s)
- Julia Sophie Böke
- grid.418907.30000 0004 0563 7158Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Jürgen Popp
- grid.418907.30000 0004 0563 7158Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany ,grid.9613.d0000 0001 1939 2794Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Christoph Krafft
- grid.418907.30000 0004 0563 7158Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany
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17
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Kalendar R, Ghamkhar K, Franceschi P, Egea-Cortines M. Editorial: Spectroscopy for crop and product phenotyping. FRONTIERS IN PLANT SCIENCE 2022; 13:1058333. [PMID: 36420036 PMCID: PMC9677824 DOI: 10.3389/fpls.2022.1058333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Affiliation(s)
- Ruslan Kalendar
- Helsinki Institute of Life Science HiLIFE, University of Helsinki, Biocenter 3, Helsinki, Finland
- National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan
| | - Kioumars Ghamkhar
- Margot Forde Germplasm Centre, Grasslands Research Centre, AgResearch, Palmerston North, New Zealand
| | - Pietro Franceschi
- Unit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy
| | - Marcos Egea-Cortines
- Instituto de Biotecnología Vegegal, Universidad Politécnica de Cartagena, Cartagena, Spain
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18
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Dai Y, Yu Y, Wang X, Jiang Z, Chen Y, Chu K, Smith ZJ. Hybrid Principal Component Analysis Denoising Enables Rapid, Label-Free Morpho-Chemical Quantification of Individual Nanoliposomes. Anal Chem 2022; 94:14232-14241. [PMID: 36202399 DOI: 10.1021/acs.analchem.2c02518] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Laser tweezers Raman spectroscopy enables multiplexed, quantitative chemical and morphological analysis of individual bionanoparticles such as drug-loaded nanoliposomes, yet it requires minutes-scale acquisition times per particle, leading to a lack of statistical power in typical small-sized data sets. The long acquisition times present a bottleneck not only in measurement time but also in the analytical throughput, as particle concentration (and thus throughput) must be kept low enough to avoid swarm measurement. The only effective way to improve this situation is to reduce the exposure time, which comes at the expense of increased noise. Here, we present a hybrid principal component analysis (PCA) denoising method, where a small number (∼30 spectra) of high signal-to-noise ratio (SNR) training data construct an effective principal component subspace into which low SNR test data are projected. Simulations and experiments prove the method outperforms traditional denoising methods such as the wavelet transform or traditional PCA. On experimental liposome samples, denoising accelerated data acquisition from 90 to 3 s, with an overall 4.5-fold improvement in particle throughput. The denoised data retained the ability to accurately determine complex morphochemical parameters such as lamellarity of individual nanoliposomes, as confirmed by comparison with cryo-EM imaging. We therefore show that hybrid PCA denoising is an efficient and effective tool for denoising spectral data sets with limited chemical variability and that the RR-NTA technique offers an ideal path for studying the multidimensional heterogeneity of nanoliposomes and other micro/nanoscale bioparticles.
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Affiliation(s)
- Yichuan Dai
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Yajun Yu
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Xianli Wang
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Ziling Jiang
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Yulan Chen
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Kaiqin Chu
- Suzhou Advanced Research Institute, University of Science and Technology of China, Suzhou, Jiangsu 215123, China
| | - Zachary J Smith
- Key Laboratory of Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230027, China
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19
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Al-madani H, Du H, Yao J, Peng H, Yao C, Jiang B, Wu A, Yang F. Living Sample Viability Measurement Methods from Traditional Assays to Nanomotion. BIOSENSORS 2022; 12:453. [PMID: 35884256 PMCID: PMC9313330 DOI: 10.3390/bios12070453] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 12/18/2022]
Abstract
Living sample viability measurement is an extremely common process in medical, pharmaceutical, and biological fields, especially drug pharmacology and toxicology detection. Nowadays, there are a number of chemical, optical, and mechanical methods that have been developed in response to the growing demand for simple, rapid, accurate, and reliable real-time living sample viability assessment. In parallel, the development trend of viability measurement methods (VMMs) has increasingly shifted from traditional assays towards the innovative atomic force microscope (AFM) oscillating sensor method (referred to as nanomotion), which takes advantage of the adhesion of living samples to an oscillating surface. Herein, we provide a comprehensive review of the common VMMs, laying emphasis on their benefits and drawbacks, as well as evaluating the potential utility of VMMs. In addition, we discuss the nanomotion technique, focusing on its applications, sample attachment protocols, and result display methods. Furthermore, the challenges and future perspectives on nanomotion are commented on, mainly emphasizing scientific restrictions and development orientations.
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Affiliation(s)
- Hamzah Al-madani
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Du
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junlie Yao
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao Peng
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenyang Yao
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Jiang
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
| | - Aiguo Wu
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
| | - Fang Yang
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS), Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China; (H.A.-m.); (H.D.); (J.Y.); (H.P.); (C.Y.); (B.J.)
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
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20
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Trends in pharmaceutical analysis and quality control by modern Raman spectroscopic techniques. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116623] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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21
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Who's Who? Discrimination of Human Breast Cancer Cell Lines by Raman and FTIR Microspectroscopy. Cancers (Basel) 2022; 14:cancers14020452. [PMID: 35053613 PMCID: PMC8773714 DOI: 10.3390/cancers14020452] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/05/2022] [Accepted: 01/12/2022] [Indexed: 12/14/2022] Open
Abstract
(1) Breast cancer is presently the leading cause of death in women worldwide. This study aims at identifying molecular biomarkers of cancer in human breast cancer cells, in order to differentiate highly aggressive triple-negative from non-triple-negative cancers, as well as distinct triple-negative subtypes, which is currently an unmet clinical need paramount for an improved patient care. (2) Raman and FTIR (Fourier transform infrared) microspectroscopy state-of-the-art techniques were applied, as highly sensitive, specific and non-invasive methods for probing heterogeneous biological samples such as human cells. (3) Particular biochemical features of malignancy were unveiled based on the cells' vibrational signature, upon principal component analysis of the data. This enabled discrimination between TNBC (triple-negative breast cancer) and non-TNBC, TNBC MSL (mesenchymal stem cell-like) and TNBC BL1 (basal-like 1) and TNBC BL1 highly metastatic and low-metastatic cell lines. This specific differentiation between distinct TNBC subtypes-mesenchymal from basal-like, and basal-like 1 with high-metastatic potential from basal-like 1 with low-metastatic potential-is a pioneer result, of potential high impact in cancer diagnosis and treatment.
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22
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Ramoji A, Pahlow S, Pistiki A, Rueger J, Shaik TA, Shen H, Wichmann C, Krafft C, Popp J. Understanding Viruses and Viral Infections by Biophotonic Methods. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202100008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Anuradha Ramoji
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
| | - Susanne Pahlow
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Aikaterini Pistiki
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Jan Rueger
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Tanveer Ahmed Shaik
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Haodong Shen
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christina Wichmann
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Juergen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
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23
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Cialla-May D, Krafft C, Rösch P, Deckert-Gaudig T, Frosch T, Jahn IJ, Pahlow S, Stiebing C, Meyer-Zedler T, Bocklitz T, Schie I, Deckert V, Popp J. Raman Spectroscopy and Imaging in Bioanalytics. Anal Chem 2021; 94:86-119. [PMID: 34920669 DOI: 10.1021/acs.analchem.1c03235] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Dana Cialla-May
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Christoph Krafft
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Tanja Deckert-Gaudig
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Torsten Frosch
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Izabella J Jahn
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Susanne Pahlow
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Clara Stiebing
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Thomas Bocklitz
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Iwan Schie
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Ernst-Abbe-Hochschule Jena, University of Applied Sciences, Department of Biomedical Engineering and Biotechnology, Carl-Zeiss-Promenade 2, 07745 Jena, Germany
| | - Volker Deckert
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Jürgen Popp
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
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24
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Scholtz A, Ramoji A, Silge A, Jansson JR, de Moura IG, Popp J, Sram JP, Armani AM. COVID-19 Diagnostics: Past, Present, and Future. ACS PHOTONICS 2021; 8:2827-2838. [PMID: 37556281 PMCID: PMC8482784 DOI: 10.1021/acsphotonics.1c01052] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 05/25/2023]
Abstract
In winter of 2020, SARS-CoV-2 emerged as a global threat, impacting not only health but also financial and political stability. To address the societal need for monitoring the spread of SARS-CoV-2, many existing diagnostic technologies were quickly adapted to detect SARS-CoV-2 RNA and antigens as well as the immune response, and new testing strategies were developed to accelerate time-to-decision. In parallel, the infusion of research support accelerated the development of new spectroscopic methods. While these methods have significantly reduced the impact of SARS-CoV-2 on society when coupled with behavioral changes, they also lay the groundwork for a new generation of platform technologies. With several epidemics on the horizon, such as the rise of antibiotic-resistant bacteria, the ability to quickly pivot the target pathogen of this diagnostic toolset will continue to have an impact.
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Affiliation(s)
- Alexis Scholtz
- Department of Biomedical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
| | - Anuradha Ramoji
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Anja Silge
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
- InfectoGnostics Research Campus
Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena,
Germany
| | - Jakob R. Jansson
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Ian G. de Moura
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Jürgen Popp
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
- InfectoGnostics Research Campus
Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena,
Germany
| | - Jakub P. Sram
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Andrea M. Armani
- Department of Biomedical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
- Mork Family Department of Chemical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
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25
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Paidi SK, Raj P, Bordett R, Zhang C, Karandikar SH, Pandey R, Barman I. Raman and quantitative phase imaging allow morpho-molecular recognition of malignancy and stages of B-cell acute lymphoblastic leukemia. Biosens Bioelectron 2021; 190:113403. [PMID: 34130086 PMCID: PMC8492164 DOI: 10.1016/j.bios.2021.113403] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 01/15/2023]
Abstract
Acute lymphoblastic leukemia (ALL) is one of the most common malignancies that account for nearly one-third of all pediatric cancers. The current diagnostic assays are time-consuming, labor-intensive, and require expensive reagents. Here, we report a label-free approach featuring diffraction phase imaging and Raman microscopy that can retrieve both morphological and molecular attributes for label-free optical phenotyping of individual B cells. By investigating leukemia cell lines of early and late stages along with the healthy B cells, we show that phase images can capture subtle morphological differences among the healthy, early, and late stages of leukemic cells. By exploiting its biomolecular specificity, we demonstrate that Raman microscopy is capable of accurately identifying not only different stages of leukemia cells but also individual cell lines at each stage. Overall, our study provides a rationale for employing this hybrid modality to screen leukemia cells using the widefield QPI and using Raman microscopy for accurate differentiation of early and late-stage phenotypes. This contrast-free and rapid diagnostic tool exhibits great promise for clinical diagnosis and staging of leukemia in the near future.
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Affiliation(s)
- Santosh Kumar Paidi
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Piyush Raj
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Rosalie Bordett
- Connecticut Children's Innovation Center, University of Connecticut School of Medicine, Farmington, CT, 06032, USA
| | - Chi Zhang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Sukrut H Karandikar
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Rishikesh Pandey
- Connecticut Children's Innovation Center, University of Connecticut School of Medicine, Farmington, CT, 06032, USA; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA; Department of Oncology, Johns Hopkins University, Baltimore, MD, 21287, USA.
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26
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Biochemical Analysis of Leukocytes after In Vitro and In Vivo Activation with Bacterial and Fungal Pathogens Using Raman Spectroscopy. Int J Mol Sci 2021; 22:ijms221910481. [PMID: 34638822 PMCID: PMC8508974 DOI: 10.3390/ijms221910481] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/14/2021] [Accepted: 09/23/2021] [Indexed: 11/25/2022] Open
Abstract
Biochemical information from activated leukocytes provide valuable diagnostic information. In this study, Raman spectroscopy was applied as a label-free analytical technique to characterize the activation pattern of leukocyte subpopulations in an in vitro infection model. Neutrophils, monocytes, and lymphocytes were isolated from healthy volunteers and stimulated with heat-inactivated clinical isolates of Candida albicans, Staphylococcus aureus, and Klebsiella pneumoniae. Binary classification models could identify the presence of infection for monocytes and lymphocytes, classify the type of infection as bacterial or fungal for neutrophils, monocytes, and lymphocytes and distinguish the cause of infection as Gram-negative or Gram-positive bacteria in the monocyte subpopulation. Changes in single-cell Raman spectra, upon leukocyte stimulation, can be explained with biochemical changes due to the leukocyte’s specific reaction to each type of pathogen. Raman spectra of leukocytes from the in vitro infection model were compared with spectra from leukocytes of patients with infection (DRKS-ID: DRKS00006265) with the same pathogen groups, and a good agreement was revealed. Our study elucidates the potential of Raman spectroscopy-based single-cell analysis for the differentiation of circulating leukocyte subtypes and identification of the infection by probing the molecular phenotype of those cells.
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27
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Automated Raman Micro-Spectroscopy of Epithelial Cell Nuclei for High-Throughput Classification. Cancers (Basel) 2021; 13:cancers13194767. [PMID: 34638253 PMCID: PMC8507544 DOI: 10.3390/cancers13194767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 11/25/2022] Open
Abstract
Simple Summary We demonstrate an automated Raman cytology system designed for high-throughput and reproducibility. The system uses a Raman spectroscopy system integrated into a conventional microscope, all controlled electronically via and open source software, Micro-Manager. The system can automatically identify and probe epithelial cell nuclei for Raman spectroscopy. 6426 HT1197 (high-grade bladder cancer) cell spectra, and 7499 RT112 (low-grade bladdercancer) cell spectra were recorded. The data was subsequently culled and processed for denoising and artifact removal. We demonstrate, using multivariate statistical analysis, that the cells can be distinguished, using a variety of approaches with accuracy, sensitivity and specificity in excess of 95%. Abstract Raman micro-spectroscopy is a powerful technique for the identification and classification of cancer cells and tissues. In recent years, the application of Raman spectroscopy to detect bladder, cervical, and oral cytological samples has been reported to have an accuracy greater than that of standard pathology. However, despite being entirely non-invasive and relatively inexpensive, the slow recording time, and lack of reproducibility have prevented the clinical adoption of the technology. Here, we present an automated Raman cytology system that can facilitate high-throughput screening and improve reproducibility. The proposed system is designed to be integrated directly into the standard pathology clinic, taking into account their methodologies and consumables. The system employs image processing algorithms and integrated hardware/software architectures in order to achieve automation and is tested using the ThinPrep standard, including the use of glass slides, and a number of bladder cancer cell lines. The entire automation process is implemented, using the open source Micro-Manager platform and is made freely available. We believe that this code can be readily integrated into existing commercial Raman micro-spectrometers.
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28
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Vaz R, Valpradinhos B, Frasco MF, Sales MGF. Emerging Optical Materials in Sensing and Discovery of Bioactive Compounds. SENSORS (BASEL, SWITZERLAND) 2021; 21:5784. [PMID: 34502675 PMCID: PMC8434157 DOI: 10.3390/s21175784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/20/2021] [Accepted: 08/22/2021] [Indexed: 11/16/2022]
Abstract
Optical biosensors are used in numerous applications and analytical fields. Advances in these sensor platforms offer high sensitivity, selectivity, miniaturization, and real-time analysis, among many other advantages. Research into bioactive natural products serves both to protect against potentially dangerous toxic compounds and to promote pharmacological innovation in drug discovery, as these compounds have unique chemical compositions that may be characterized by greater safety and efficacy. However, conventional methods for detecting these biomolecules have drawbacks, as they are time-consuming and expensive. As an alternative, optical biosensors offer a faster, simpler, and less expensive means of detecting various biomolecules of clinical interest. In this review, an overview of recent developments in optical biosensors for the detection and monitoring of aquatic biotoxins to prevent public health risks is first provided. In addition, the advantages and applicability of these biosensors in the field of drug discovery, including high-throughput screening, are discussed. The contribution of the investigated technological advances in the timely and sensitive detection of biotoxins while deciphering the pathways to discover bioactive compounds with great health-promoting prospects is envisaged to meet the increasing demands of healthcare systems.
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Affiliation(s)
- Raquel Vaz
- BioMark@UC, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal; (R.V.); (M.G.F.S.)
- CEB—Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal;
| | - Beatriz Valpradinhos
- CEB—Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal;
- BioMark@ISEP, School of Engineering, Polytechnic Institute of Porto, 4249-015 Porto, Portugal
| | - Manuela F. Frasco
- BioMark@UC, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal; (R.V.); (M.G.F.S.)
- CEB—Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal;
- BioMark@ISEP, School of Engineering, Polytechnic Institute of Porto, 4249-015 Porto, Portugal
| | - Maria Goreti F. Sales
- BioMark@UC, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal; (R.V.); (M.G.F.S.)
- CEB—Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal;
- BioMark@ISEP, School of Engineering, Polytechnic Institute of Porto, 4249-015 Porto, Portugal
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29
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Spectral Markers for T Cell Death and Apoptosis-A Pilot Study on Cell Therapy Drug Product Characterization Using Raman Spectroscopy. J Pharm Sci 2021; 110:3786-3793. [PMID: 34364901 DOI: 10.1016/j.xphs.2021.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 11/21/2022]
Abstract
Application of Raman spectroscopy as a T cell characterization tool supporting cell therapy drug product development has been evaluated. Statistically significant correlations between a set of Raman signals and established flow cytometry markers associated with apoptosis of T cells detected during drug product cryopreservation are presented in this study. Our study results demonstrate the potential of Raman spectroscopy for label-free measurements of T cell characteristics relevant to cell therapy product design and process control.
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30
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Multiwell Raman plate reader for high-throughput biochemical screening. Sci Rep 2021; 11:15742. [PMID: 34344945 PMCID: PMC8333358 DOI: 10.1038/s41598-021-95139-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/14/2021] [Indexed: 11/08/2022] Open
Abstract
Although Raman spectroscopy has been used for the quantitative analysis of samples in many fields, including material science, biomedical, and pharmaceutical research, its low sensitivity hindered the application of the analytical capability for high-throughput screening. Here, we developed a high-throughput Raman screening system that can analyze hundreds of specimens in a multiwell plate simultaneously. Multiple high numerical aperture (NA) lenses are assembled under each well in the multiwell plate to detect Raman scattering simultaneously with high sensitivity. The Raman spectrum of 192 samples loaded on a standard 384-well plate can be analyzed simultaneously. With the developed system, the throughput of Raman measurement was significantly improved (about 100 times) compared to conventional Raman instruments based on a single-point measurement. By using the developed system, we demonstrated high-throughput Raman screening to investigate drug polymorphism and identify a small-molecule binding site in a protein. Furthermore, the same system was used to demonstrate high-speed chemical mapping of a centimeter-sized pork slice.
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31
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Berneschi S, D'Andrea C, Baldini F, Banchelli M, de Angelis M, Pelli S, Pini R, Pugliese D, Boetti NG, Janner D, Milanese D, Giannetti A, Matteini P. Ion-exchanged glass microrods as hybrid SERS/fluorescence substrates for molecular beacon-based DNA detection. Anal Bioanal Chem 2021; 413:6171-6182. [PMID: 34278523 DOI: 10.1007/s00216-021-03418-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/07/2021] [Accepted: 05/19/2021] [Indexed: 11/26/2022]
Abstract
Ion-exchange in molten nitrate salts containing metal ions (i.e. silver, copper, etc.) represents a well-established technique able to modify the chemical-physical properties of glass materials. It is widely used not only in the field of integrated optics (IO) but also, more recently, in plasmonics due to the possibility to induce the formation of metal nanoparticles in the glass matrix by an ad hoc thermal post-process. In this work, the application of this technology for the realisation of low-cost and stable surface-enhanced Raman scattering (SERS) active substrates, based on soda-lime glass microrods, is reported. The microrods, with a radius of a few tens of microns, were obtained by cutting the end of an ion-exchanged soda-lime fibre for a length less than 1 cm. As ion source, silver nitrate was selected due to the outstanding SERS properties of silver. The ion-exchange and thermal annealing post-process parameters were tuned to expose the embedded silver nanoparticles on the surface of the glass microrods, avoiding the use of any further chemical etching step. In order to test the combined SERS/fluorescence response of these substrates, labelled molecular beacons (MBs) were immobilised on their surface for deoxyribonucleic acid (DNA) detection. Our experiments confirm that target DNA is attached on the silver nanoparticles and its presence is revealed by both SERS and fluorescence measurements. These results pave the way towards the development of low-cost and stable hybrid fibres, in which SERS and fluorescence interrogation techniques are combined in the same optical device.
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Affiliation(s)
- Simone Berneschi
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Cristiano D'Andrea
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Francesco Baldini
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Martina Banchelli
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Marella de Angelis
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Stefano Pelli
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Roberto Pini
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
| | - Diego Pugliese
- Department of Applied Science and Technology and RU INSTM, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - Nadia G Boetti
- Fondazione LINKS-Leading Innovation and Knowledge for Society, via P. C. Boggio 61, 10138, Turin, Italy
| | - Davide Janner
- Department of Applied Science and Technology and RU INSTM, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - Daniel Milanese
- Department of Engineering and Architecture and RU INSTM, Università di Parma, Parco Area delle Scienze 181/A, 43124, Parma, Italy
| | - Ambra Giannetti
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy.
| | - Paolo Matteini
- Institute of Applied Physics "Nello Carrara", IFAC - CNR, Via Madonna del Piano 10, 50019, Sesto Fiorentino, FI, Italy
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Bordanaba-Florit G, Royo F, Kruglik SG, Falcón-Pérez JM. Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles. Nat Protoc 2021; 16:3163-3185. [PMID: 34135505 DOI: 10.1038/s41596-021-00551-z] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 03/31/2021] [Indexed: 12/12/2022]
Abstract
Extracellular vesicles (EVs) are heterogeneous lipid containers with a complex molecular cargo comprising several populations with unique roles in biological processes. These vesicles are closely associated with specific physiological features, which makes them invaluable in the detection and monitoring of various diseases. EVs play a key role in pathophysiological processes by actively triggering genetic or metabolic responses. However, the heterogeneity of their structure and composition hinders their application in medical diagnosis and therapies. This diversity makes it difficult to establish their exact physiological roles, and the functions and composition of different EV (sub)populations. Ensemble averaging approaches currently employed for EV characterization, such as western blotting or 'omics' technologies, tend to obscure rather than reveal these heterogeneities. Recent developments in single-vesicle analysis have made it possible to overcome these limitations and have facilitated the development of practical clinical applications. In this review, we discuss the benefits and challenges inherent to the current methods for the analysis of single vesicles and review the contribution of these approaches to the understanding of EV biology. We describe the contributions of these recent technological advances to the characterization and phenotyping of EVs, examination of the role of EVs in cell-to-cell communication pathways and the identification and validation of EVs as disease biomarkers. Finally, we discuss the potential of innovative single-vesicle imaging and analysis methodologies using microfluidic devices, which promise to deliver rapid and effective basic and practical applications for minimally invasive prognosis systems.
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Affiliation(s)
- Guillermo Bordanaba-Florit
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain.
| | - Félix Royo
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Madrid, Spain
| | - Sergei G Kruglik
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratoire Jean Perrin, Paris, France
| | - Juan M Falcón-Pérez
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Madrid, Spain. .,Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
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Pavillon N, Smith NI. Deriving accurate molecular indicators of protein synthesis through Raman-based sparse classification. Analyst 2021; 146:3633-3641. [PMID: 33949431 DOI: 10.1039/d1an00412c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Raman spectroscopy has the ability to retrieve molecular information from live biological samples non-invasively through optical means. Coupled with machine learning, it is possible to use this large amount of information to create models that can predict the state of new samples. We study here linear models, whose separation coefficients can be used to interpret which bands are contributing to the discrimination, and compare the performance of principal component analysis coupled with linear discriminant analysis (PCA/LDA), with regularized logistic regression (Lasso). By applying these methods to single-cell measurements for the detection of macrophage activation, we found that PCA/LDA yields poorer performance in classification compared to Lasso, and underestimates the required sample size to reach stable models. Direct use of Lasso (without PCA) also yields more stable models, and provides sparse separation vectors that directly contain the Raman bands most relevant to classification. To further evaluate these sparse vectors, we apply Lasso to a well-defined case where protein synthesis is inhibited, and show that the separating features are consistent with RNA accumulation and protein levels depletion. Surprisingly, when features are selected purely in terms of their classification power (Lasso), they consist mostly of side bands, while typical strong Raman peaks are not present in the discrimination vector. We propose that this occurs because large Raman bands are representative of a wide variety of intracellular molecules and are therefore less suited for accurate classification.
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Affiliation(s)
- Nicolas Pavillon
- Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, 565-0871, Suita, Osaka, Japan.
| | - Nicholas I Smith
- Biophotonics Laboratory, Immunology Frontier Research Center (IFReC), Osaka University, Yamadaoka 3-1, Suita, 565-0871, Suita, Osaka, Japan. and Open and Transdisciplinary Research Institute (OTRI), Osaka University, Yamadaoka 3-1, Suita, 565-0871, Suita, Osaka, Japan
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Ramoji A, Thomas-Rüddel D, Ryabchykov O, Bauer M, Arend N, Giamarellos-Bourboulis EJ, Eugen-Olsen J, Kiehntopf M, Bocklitz T, Popp J, Bloos F, Neugebauer U. Leukocyte Activation Profile Assessed by Raman Spectroscopy Helps Diagnosing Infection and Sepsis. Crit Care Explor 2021; 3:e0394. [PMID: 34079942 PMCID: PMC8162546 DOI: 10.1097/cce.0000000000000394] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVES Leukocytes are first responders to infection. Their activation state can reveal information about specific host immune response and identify dysregulation in sepsis. This study aims to use the Raman spectroscopic fingerprints of blood-derived leukocytes to differentiate inflammation, infection, and sepsis in hospitalized patients. Diagnostic sensitivity and specificity shall demonstrate the added value of the direct characterization of leukocyte's phenotype. DESIGN Prospective nonrandomized, single-center, observational phase-II study (DRKS00006265). SETTING Jena University Hospital, Germany. PATIENTS Sixty-one hospitalized patients (19 with sterile inflammation, 23 with infection without organ dysfunction, 18 with sepsis according to Sepsis-3 definition). INTERVENTIONS None (blood withdrawal). MEASUREMENTS AND MAIN RESULTS Individual peripheral blood leukocytes were characterized by Raman spectroscopy. Reference diagnostics included established clinical scores, blood count, and biomarkers (C-reactive protein, procalcitonin and interleukin-6). Binary classification models using Raman data were able to distinguish patients with infection from patients without infection, as well as sepsis patients from patients without sepsis, with accuracies achieved with established biomarkers. Compared with biomarker information alone, an increase of 10% (to 93%) accuracy for the detection of infection and an increase of 18% (to 92%) for detection of sepsis were reached by adding the Raman information. Leukocytes from sepsis patients showed different Raman spectral features in comparison to the patients with infection that point to the special immune phenotype of sepsis patients. CONCLUSIONS Raman spectroscopy can extract information on leukocyte's activation state in a nondestructive, label-free manner to differentiate sterile inflammation, infection, and sepsis.
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Affiliation(s)
- Anuradha Ramoji
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
| | - Daniel Thomas-Rüddel
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Oleg Ryabchykov
- Leibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany
- Institute for Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany
| | - Michael Bauer
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Natalie Arend
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Leibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany
| | | | - Jesper Eugen-Olsen
- Clinical Research Centre, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
| | - Michael Kiehntopf
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Institute for Clinical Chemistry and Laboratory Diagnostics and Integrated Biobank Jena, Jena University Hospital, Jena, Germany
| | - Thomas Bocklitz
- Leibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany
- Institute for Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany
| | - Jürgen Popp
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Leibniz Institute of Photonic Technology Jena, (Leibniz-IPHT), Member of Leibniz Research Alliance 'Health Technologies', Jena, Germany
- Institute for Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany
| | - Frank Bloos
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Ute Neugebauer
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
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Jia J, Ellis JF, Cao T, Fu K, Morales-Soto N, Shrout JD, Sweedler JV, Bohn PW. Biopolymer Patterning-Directed Secretion in Mucoid and Nonmucoid Strains of Pseudomonas aeruginosa Revealed by Multimodal Chemical Imaging. ACS Infect Dis 2021; 7:598-607. [PMID: 33620198 DOI: 10.1021/acsinfecdis.0c00765] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Quinolone, pyocyanin, and rhamnolipid production were studied in Pseudomonas aeruginosa by spatially patterning mucin, a glycoprotein important to infection of lung epithelia. Mass spectrometric imaging and confocal Raman microscopy are combined to probe P. aeruginosa biofilms from mucoid and nonmucoid strains grown on lithographically defined patterns. Quinolone signatures from biofilms on patterned vs unpatterned and mucin vs mercaptoundecanoic acid (MUA) surfaces were compared. Microbial attachment is accompanied by secretion of 2-alkyl-4-quinolones as well as rhamnolipids from the mucoid and nonmucoid strains. Pyocyanin was also detected both in the biofilm and in the supernatant in the mucoid strain only. Significant differences in the spatiotemporal distributions of secreted factors are observed between strains and among different surface patterning conditions. The mucoid strain is sensitive to composition and patterning while the nonmucoid strain is not, and in promoting community development in the mucoid strain, nonpatterned surfaces are better than patterned, and mucin is better than MUA. Also, the mucoid strain secretes the virulence factor pyocyanin in a way that correlates with distress. A change in the relative abundance for two rhamnolipids is observed in the mucoid strain during exposure to mucin, whereas minimal variation is observed in the nonmucoid strain. Differences between mucoid and nonmucoid strains are consistent with their strain-specific phenology, in which the mucoid strain develops highly protected and withdrawn biofilms that achieve Pseudomonas quinolone signal production under limited conditions.
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Affiliation(s)
- Jin Jia
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Joanna F. Ellis
- Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801,United States
| | - Tianyuan Cao
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Kaiyu Fu
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Nydia Morales-Soto
- Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556,United States
| | - Joshua D. Shrout
- Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556,United States
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Jonathan V. Sweedler
- Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801,United States
| | - Paul W. Bohn
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
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Shi L, Fung AA, Zhou A. Advances in stimulated Raman scattering imaging for tissues and animals. Quant Imaging Med Surg 2021; 11:1078-1101. [PMID: 33654679 PMCID: PMC7829158 DOI: 10.21037/qims-20-712] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
Stimulated Raman scattering (SRS) microscopy has emerged in the last decade as a powerful optical imaging technology with high chemical selectivity, speed, and subcellular resolution. Since the invention of SRS microscopy, it has been extensively employed in life science to study composition, structure, metabolism, development, and disease in biological systems. Applications of SRS in research and the clinic have generated new insights in many fields including neurobiology, tumor biology, developmental biology, metabolomics, pharmacokinetics, and more. Herein we review the advances and applications of SRS microscopy imaging in tissues and animals, as well as envision future applications and development of SRS imaging in life science and medicine.
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Affiliation(s)
- Lingyan Shi
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Anthony A Fung
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Andy Zhou
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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37
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Vibrational Spectroscopy for In Vitro Monitoring Stem Cell Differentiation. Molecules 2020; 25:molecules25235554. [PMID: 33256146 PMCID: PMC7729886 DOI: 10.3390/molecules25235554] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 11/21/2020] [Accepted: 11/23/2020] [Indexed: 12/12/2022] Open
Abstract
Stem cell technology has attracted considerable attention over recent decades due to its enormous potential in regenerative medicine and disease therapeutics. Studying the underlying mechanisms of stem cell differentiation and tissue generation is critical, and robust methodologies and different technologies are required. Towards establishing improved understanding and optimised triggering and control of differentiation processes, analytical techniques such as flow cytometry, immunohistochemistry, reverse transcription polymerase chain reaction, RNA in situ hybridisation analysis, and fluorescence-activated cell sorting have contributed much. However, progress in the field remains limited because such techniques provide only limited information, as they are only able to address specific, selected aspects of the process, and/or cannot visualise the process at the subcellular level. Additionally, many current analytical techniques involve the disruption of the investigation process (tissue sectioning, immunostaining) and cannot monitor the cellular differentiation process in situ, in real-time. Vibrational spectroscopy, as a label-free, non-invasive and non-destructive analytical technique, appears to be a promising candidate to potentially overcome many of these limitations as it can provide detailed biochemical fingerprint information for analysis of cells, tissues, and body fluids. The technique has been widely used in disease diagnosis and increasingly in stem cell technology. In this work, the efforts regarding the use of vibrational spectroscopy to identify mechanisms of stem cell differentiation at a single cell and tissue level are summarised. Both infrared absorption and Raman spectroscopic investigations are explored, and the relative merits, and future perspectives of the techniques are discussed.
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Jaeckle E, Brauchle E, Nottrodt N, Wehner M, Lensing R, Gillner A, Schenke-Layland K, Bach M, Burger-Kentischer A. Towards automation in biologics production via Raman micro-spectroscopy, laser-induced forward cell transfer and surface-enhanced Raman spectroscopy. J Biotechnol 2020; 323:313-321. [PMID: 32898625 DOI: 10.1016/j.jbiotec.2020.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 12/26/2022]
Abstract
Mammalian cells have become the predominant expression system for the production of biopharmaceuticals due to their capabilities in posttranslational modifications. In recent years, the efficacy of these production processes has increased significantly through technical improvements. However, the state of the art in the development of producer cell lines includes many manual steps and is as such very time and cost consuming. In this study we developed a process combination of Raman micro-spectroscopy, laser-induced forward transfer (LIFT) and surface-enhanced Raman spectroscopy (SERS) as an automated machine system for the identification, separation and characterization of single cell-clones for biopharmaceutical production. Raman spectra showed clear differences between individual antibody-producing and non-producing chinese hamster ovary (CHO) cells after their stable transfection with a plasmid coding for an immunoglobulin G (IgG) antibody. Spectra of producing CHO cells exhibited Raman signals characteristic for human IgG. Individual producing CHO cells were successfully separated and transferred into a multiwell plate via LIFT. Besides, changes in concentration of human IgG in solution were detected via SERS. SERS spectra showed the same peak patterns but differed in their peak intensity. Overall, our results show that identification of individual antibody-producing CHO cells via Raman micro-spectroscopy, cell separation via LIFT and determination of changes in concentrations of overexpressed protein via SERS are suitable and versatile tools for assembling a fully automated system for biopharmaceuticals manufacturing.
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Affiliation(s)
- Elisabeth Jaeckle
- Fraunhofer Institute for Interfacial Engineering and Biotechnology (IGB), Department of Molecular Biotechnology, Nobelstr. 12, 70569 Stuttgart, Germany
| | - Eva Brauchle
- Department of Women's Health, Research Institute for Women's Health, Eberhard-Karls-University Tübingen, Silcherstr. 7/1, 72076 Tübingen, Germany; Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Markwiesen-str. 55, 72770 Reutlingen, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard-Karls-University Tübingen, Geschwister-Scholl-Platz 72074 Tübingen, Germany
| | - Nadine Nottrodt
- Fraunhofer Institute for Laser Technology (ILT), Biofabrication, Steinbachstr. 15, 52074 Aachen, Germany
| | - Martin Wehner
- Fraunhofer Institute for Interfacial Engineering and Biotechnology (IGB), Department of Molecular Biotechnology, Nobelstr. 12, 70569 Stuttgart, Germany
| | - Richard Lensing
- LLT - Chair for Laser Technology, RWTH Aachen, Steinbachstrasse 15, 52074 Aachen, Germany
| | - Arnold Gillner
- Fraunhofer Institute for Laser Technology (ILT), Biofabrication, Steinbachstr. 15, 52074 Aachen, Germany
| | - Katja Schenke-Layland
- Department of Women's Health, Research Institute for Women's Health, Eberhard-Karls-University Tübingen, Silcherstr. 7/1, 72076 Tübingen, Germany; Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Markwiesen-str. 55, 72770 Reutlingen, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard-Karls-University Tübingen, Geschwister-Scholl-Platz 72074 Tübingen, Germany
| | - Monika Bach
- Fraunhofer Institute for Interfacial Engineering and Biotechnology (IGB), Department of Molecular Biotechnology, Nobelstr. 12, 70569 Stuttgart, Germany; Core Facility, University of Hohenheim, Emil-Wolff-Straße 12, 70593 Stuttgart, Germany.
| | - Anke Burger-Kentischer
- Fraunhofer Institute for Interfacial Engineering and Biotechnology (IGB), Department of Molecular Biotechnology, Nobelstr. 12, 70569 Stuttgart, Germany.
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Salvo P, Vivaldi FM, Bonini A, Biagini D, Bellagambi FG, Miliani FM, Di Francesco F, Lomonaco T. Biosensors for Detecting Lymphocytes and Immunoglobulins. BIOSENSORS 2020; 10:E155. [PMID: 33121071 PMCID: PMC7694141 DOI: 10.3390/bios10110155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/23/2020] [Accepted: 10/26/2020] [Indexed: 12/15/2022]
Abstract
Lymphocytes (B, T and natural killer cells) and immunoglobulins are essential for the adaptive immune response against external pathogens. Flow cytometry and enzyme-linked immunosorbent (ELISA) kits are the gold standards to detect immunoglobulins, B cells and T cells, whereas the impedance measurement is the most used technique for natural killer cells. For point-of-care, fast and low-cost devices, biosensors could be suitable for the reliable, stable and reproducible detection of immunoglobulins and lymphocytes. In the literature, such biosensors are commonly fabricated using antibodies, aptamers, proteins and nanomaterials, whereas electrochemical, optical and piezoelectric techniques are used for detection. This review describes how these measurement techniques and transducers can be used to fabricate biosensors for detecting lymphocytes and the total content of immunoglobulins. The various methods and configurations are reported, along with the advantages and current limitations.
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Affiliation(s)
- Pietro Salvo
- Institute of Clinical Physiology, National Council of Research, Via Moruzzi 1, 56124 Pisa, Italy;
| | - Federico M. Vivaldi
- Institute of Clinical Physiology, National Council of Research, Via Moruzzi 1, 56124 Pisa, Italy;
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
| | - Andrea Bonini
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
| | - Denise Biagini
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
| | - Francesca G. Bellagambi
- Institut des Sciences Analytiques, UMR 5280, Université Lyon 1, 5, rue de la Doua, 69100 Villeurbanne, France;
| | - Filippo M. Miliani
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
| | - Fabio Di Francesco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
| | - Tommaso Lomonaco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Via Moruzzi 13, 56124 Pisa, Italy; (A.B.); (D.B.); (F.M.M.); (F.D.F.); (T.L.)
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Elumalai S, Managó S, De Luca AC. Raman Microscopy: Progress in Research on Cancer Cell Sensing. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5525. [PMID: 32992464 PMCID: PMC7582629 DOI: 10.3390/s20195525] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/21/2020] [Accepted: 09/24/2020] [Indexed: 02/07/2023]
Abstract
In the last decade, Raman Spectroscopy (RS) was demonstrated to be a label-free, non-invasive and non-destructive optical spectroscopy allowing the improvement in diagnostic accuracy in cancer and analytical assessment for cell sensing. This review discusses how Raman spectra can lead to a deeper molecular understanding of the biochemical changes in cancer cells in comparison to non-cancer cells, analyzing two key examples, leukemia and breast cancer. The reported Raman results provide information on cancer progression and allow the identification, classification, and follow-up after chemotherapy treatments of the cancer cells from the liquid biopsy. The key obstacles for RS applications in cancer cell diagnosis, including quality, objectivity, number of cells and velocity of the analysis, are considered. The use of multivariant analysis, such as principal component analysis (PCA) and linear discriminate analysis (LDA), for an automatic and objective assessment without any specialized knowledge of spectroscopy is presented. Raman imaging for cancer cell mapping is shown and its advantages for routine clinical pathology practice and live cell imaging, compared to single-point spectral analysis, are debated. Additionally, the combination of RS with microfluidic devices and high-throughput screening for improving the velocity and the number of cells analyzed are also discussed. Finally, the combination of the Raman microscopy (RM) with other imaging modalities, for complete visualization and characterization of the cells, is described.
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Affiliation(s)
| | | | - Anna Chiara De Luca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy; (S.E.); (S.M.)
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High-Throughput Raman Spectroscopy Combined with Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development. Processes (Basel) 2020. [DOI: 10.3390/pr8091179] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Raman spectroscopy has the potential to revolutionise many aspects of biopharmaceutical process development. The widespread adoption of this promising technology has been hindered by the high cost associated with individual probes and the challenge of measuring low sample volumes. To address these issues, this paper investigates the potential of an emerging new high-throughput (HT) Raman spectroscopy microscope combined with a novel data analysis workflow to replace off-line analytics for upstream and downstream operations. On the upstream front, the case study involved the at-line monitoring of an HT micro-bioreactor system cultivating two mammalian cell cultures expressing two different therapeutic proteins. The spectra generated were analysed using a partial least squares (PLS) model. This enabled the successful prediction of the glucose, lactate, antibody, and viable cell density concentrations directly from the Raman spectra without reliance on multiple off-line analytical devices and using only a single low-volume sample (50–300 μL). However, upon the subsequent investigation of these models, only the glucose and lactate models appeared to be robust based upon their model coefficients containing the expected Raman vibrational signatures. On the downstream front, the HT Raman device was incorporated into the development of a cation exchange chromatography step for an Fc-fusion protein to compare different elution conditions. PLS models were derived from the spectra and were found to predict accurately monomer purity and concentration. The low molecular weight (LMW) and high molecular weight (HMW) species concentrations were found to be too low to be predicted accurately by the Raman device. However, the method enabled the classification of samples based on protein concentration and monomer purity, allowing a prioritisation and reduction in samples analysed using A280 UV absorbance and high-performance liquid chromatography (HPLC). The flexibility and highly configurable nature of this HT Raman spectroscopy microscope makes it an ideal tool for bioprocess research and development, and is a cost-effective solution based on its ability to support a large range of unit operations in both upstream and downstream process operations.
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Gala de Pablo J, Chisholm DR, Ambler CA, Peyman SA, Whiting A, Evans SD. Detection and time-tracking activation of a photosensitiser on live single colorectal cancer cells using Raman spectroscopy. Analyst 2020; 145:5878-5888. [PMID: 32662453 DOI: 10.1039/d0an01023e] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Raman spectroscopy has been used to observe uptake, metabolism and response of single-cells to drugs. Photodynamic therapy is based on the use of light, a photosensitiser and oxygen to destroy tumour tissue. Here, we used single-cell Raman spectroscopy to study the uptake and intracellular degradation of a novel photosensitiser with a diphenylacetylene structure, DC473, in live single-cells from colorectal adenocarcinoma cell lines SW480, HT29 and SW620. DC473 was seen to predominantly accumulate in lipid droplets, showing higher accumulation in HT29 and SW620 cells than in SW480 cells, with a broader DC473 peak shifted to higher wavenumbers. DC473 activation and effects were tracked on live single-cells for 5 minutes. Upon exposure to UV light, the DC473 signal intensity dropped, with remaining DC473 shifting towards higher wavenumbers and widening, with a lifetime of approximately 50 seconds. Morphologically, SW480 and SW620 cells showed changes upon photodynamic therapy, whereas HT29 cells showed no changes. Morphological changes correlated with higher remaining DC473 signal after UV exposure. Our research suggests that DC473 forms aggregates within the cells that disaggregate following activation, showing the potential of Raman spectroscopy for the study of time-dependent single-cell pharmacodynamics.
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Affiliation(s)
- Julia Gala de Pablo
- Molecular and Nanoscale Physics Group, School of Physics and Astronomy, University of Leeds, Leeds, UK.
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43
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Wang X, Hu C, Chu K, Smith ZJ. Low resolution Raman: the impact of spectral resolution on limit of detection and imaging speed in hyperspectral imaging. Analyst 2020; 145:6607-6616. [PMID: 32789319 DOI: 10.1039/d0an01390k] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The majority of problems in analytical Raman spectroscopy are mathematically over-determined, where many more spectral variables are measured than analytic outputs (such as chemical concentrations) are calculated. Thus, to improve spectral throughput and simplify system design, some researchers have explored the use of low resolution Raman systems for cell or tissue classification, achieving accuracy independent of spectral resolution. However, the tradeoffs inherent in this approach have not been systematically studied. Here, we theoretically and experimentally explore the relationship between spectral resolution and analytical error. We show that decreased spectral resolution leads to spectral signal-to-noise ratio and therefore more reliable results and lower limits of detection for equivalent integration times in blind unmixing of hyperspectral images. Our theoretical analysis demonstrates that the primary benefit of low resolution Raman spectroscopy is in overcoming detector noise (such as thermal or electronic noise). Therefore, the benefits are most pronounced when utilizing lower-grade, uncooled detectors. Therefore, using a low-cost CMOS camera we experimentally demonstrate the ability of low resolution Raman spectroscopy to achieve substantially improved imaging performance compared to fully-resolved Raman spectral imaging, paving the way for cost-effective, pervasive Raman spectroscopy.
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Affiliation(s)
- Xianli Wang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, China.
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44
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Arend N, Pittner A, Ramoji A, Mondol AS, Dahms M, Rüger J, Kurzai O, Schie IW, Bauer M, Popp J, Neugebauer U. Detection and Differentiation of Bacterial and Fungal Infection of Neutrophils from Peripheral Blood Using Raman Spectroscopy. Anal Chem 2020; 92:10560-10568. [PMID: 32613830 DOI: 10.1021/acs.analchem.0c01384] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neutrophils are important cells of the innate immune system and the major leukocyte subpopulation in blood. They are responsible for recognizing and neutralizing invading pathogens, such as bacteria or fungi. For this, neutrophils are well equipped with pathogen recognizing receptors, cytokines, effector molecules, and granules filled with reactive oxygen species (ROS)-producing enzymes. Depending on the pathogen type, different reactions are triggered, which result in specific activation states of the neutrophils. Here, we aim to establish a label-free method to indirectly detect infections and to identify the cause of infection by spectroscopic characterization of the neutrophils. For this, isolated neutrophils from human peripheral blood were stimulated in an in vitro infection model with heat-inactivated Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacterial pathogens as well as with heat-inactivated and viable fungi (Candida albicans). Label-free and nondestructive Raman spectroscopy was used to characterize neutrophils on a single cell level. Phagocytized fungi could be visualized in a few high-resolution false color images of individual neutrophils using label-free Raman spectroscopic imaging. Using a high-throughput screening Raman spectroscope (HTS-RS), Raman spectra of more than 2000 individual neutrophils from three different donors were collected in each treatment group, yielding a data set of almost 20 000 neutrophil spectra. Random forest classification models were trained to differentiate infected and noninfected cells with high accuracy (90%). Among the neutrophils challenged with pathogens, even the cause of infection, bacterial or fungal, was predicted correctly with 92% accuracy. Therefore, Raman spectroscopy enables reliable neutrophil phenotyping and infection diagnosis in a label-free manner. In contrast to the microbiological diagnostic standard, where the pathogen is isolated in time-consuming cultivation, this Raman-based method could potentially be blood-culture independent, thus saving precious time in bloodstream infection diagnostics.
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Affiliation(s)
- Natalie Arend
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Angelina Pittner
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany
| | - Anuradha Ramoji
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.,Institute for Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany
| | - Abdullah S Mondol
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany
| | - Marcel Dahms
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.,InfectoGnostics Research Campus Jena, Reg. Assoc., Philosophenweg 7, 07743 Jena, Germany
| | - Jan Rüger
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany
| | - Oliver Kurzai
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.,Centre for Innovation Competence Septomics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knoell-Institute, Albert-Einstein-Straße 10, 07745 Jena, Germany.,Institute for Hygiene and Microbiology, University of Würzburg, Josef-Schneider-Str. 2/E1, 97080 Würzburg, Germany
| | - Iwan W Schie
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany
| | - Michael Bauer
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.,InfectoGnostics Research Campus Jena, Reg. Assoc., Philosophenweg 7, 07743 Jena, Germany.,Institute for Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany
| | - Ute Neugebauer
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, Jena 07745, Germany.,Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.,InfectoGnostics Research Campus Jena, Reg. Assoc., Philosophenweg 7, 07743 Jena, Germany.,Institute for Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany
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45
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Korinth F, Mondol AS, Stiebing C, Schie IW, Krafft C, Popp J. New methodology to process shifted excitation Raman difference spectroscopy data: a case study of pollen classification. Sci Rep 2020; 10:11215. [PMID: 32641779 PMCID: PMC7343813 DOI: 10.1038/s41598-020-67897-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 06/15/2020] [Indexed: 02/07/2023] Open
Abstract
Shifted excitation Raman difference spectroscopy (SERDS) is a background correction method for Raman spectroscopy. Here, the difference spectra were directly used as input for SERDS-based classification after an optimization procedure to correct for photobleaching of the autofluorescence. Further processing included a principal component analysis to compensate for the reduced signal to noise ratio of the difference spectra and subsequent classification by linear discriminant analysis. As a case study 6,028 Raman spectra of single pollen originating from plants of eight different genera and four different growth habits were automatically recorded at excitation wavelengths 784 and 786 nm using a high-throughput screening Raman system. Different pollen were distinguished according to their growth habit, i.e. tree versus non-tree with an accuracy of 95.9%. Furthermore, all pollen were separated according to their genus, providing also insight into similarities based on their families. Classification results were compared using spectra reconstructed from the differences and raw spectra after state-of-art baseline correction as input. Similar sensitivities, specificities, accuracies and precisions were found for all spectra with moderately background. Advantages of SERDS are expected in scenarios where Raman spectra are affected by variations due to detector etaloning, ambient light, and high background.
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Affiliation(s)
- F Korinth
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - A S Mondol
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - C Stiebing
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - I W Schie
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany.,Department of Medical Engineering and Biotechnology, University of Applied Sciences, Carl-Zeiss-Promenade 2, 07745, Jena, Germany
| | - C Krafft
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany.
| | - J Popp
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
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46
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Tang Z, Huang J, He H, Ma C, Wang K. Contributing to liquid biopsy: Optical and electrochemical methods in cancer biomarker analysis. Coord Chem Rev 2020. [DOI: 10.1016/j.ccr.2020.213317] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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47
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Li B, Larkin PJ. Chemical Bleaching to Minimize Fluorescence Interference in Raman Spectroscopic Measurements for Sulfonated Polystyrene Solutions. APPLIED SPECTROSCOPY 2020; 74:741-750. [PMID: 32223426 DOI: 10.1177/0003702820919823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Auto-fluorescence is a significant challenge for Raman spectroscopic analyses. Since fluorescence is a much stronger phenomenon than Raman scattering, even trace fluorescent impurities can overwhelm the Raman signal. Strategies to minimize fluorescence interference in Raman measurements include either an instrumental-based approach or treatment of the sample itself to minimize fluorescence. Efforts focused on sample-based treatments to reduce fluorescence interferences have generally focused on sample purification and photobleaching methodologies. In this work, we present a sample treatment approach based upon chemical bleaching to remove fluorescence from Raman measurements of aqueous solutions of sulfonated polystyrene (SPS). Synthetic batches of SPS are characterized by a wide variation in fluorescence from minimum to a catastrophic level, which greatly limits the use of Raman spectroscopy. We systematically investigate the efficacy of various sample-based treatments of the SPS samples. An important acceptance criterion is that the procedure effectively and reliably removes fluorescence without damaging the SPS component. The chemical bleaching, which involves the addition of hydrogen peroxide and incubation at 60 ℃, is found to be highly effective. The parameters affecting the bleaching efficacy are studied, including temperature, hydrogen peroxide dosage, and bleaching time. Classification models are then developed based on the drastically diverse fluorescence background levels in Raman spectra of SPS to help optimize bleaching time for each specific sample. This work serves as an example of using chemical bleaching to remove fluorescence, which is inexpensive and readily available. It can facilitate a broader use of Raman spectroscopy as a quantitative qualitative control method in industrial settings.
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Affiliation(s)
- Boyu Li
- Solvay, Technology Solutions R&I, Stamford, USA
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48
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Zhao Z, Chen C, Xiong H, Ji J, Min W. Metabolic Activity Phenotyping of Single Cells with Multiplexed Vibrational Probes. Anal Chem 2020; 92:9603-9612. [PMID: 32530266 DOI: 10.1021/acs.analchem.0c00790] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Quantitative measurements of metabolic activities of individual cells are essential to understanding questions in diverse fields in biology. To address this challenge, we present a method, termed metabolic activity phenotyping (MAP), to probe metabolic fluxes by utilizing multiplexed vibrational metabolic probes. With specifically designed single-whole-cell confocal micro-Raman spectroscopy, quantitative measurement of lipid and protein synthesis activity was achieved with high throughput (several orders of magnitude improvement over a commercial confocal system). In addition, metabolic heterogeneity upon various drug treatments was also revealed and evaluated at the single-cell level. We further demonstrated that MAP was more robust than the label-free Raman methods and was able to make the correct classification among diverse cancer types and breast cancer subtypes by exploring the dimension of metabolism. The capability of MAP to explore metabolic profiles at the single-cell level makes it a valuable tool for basic single-cell studies as well as other screening applications.
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Affiliation(s)
- Zhilun Zhao
- Department of Chemistry, Columbia University, New York, New York 10027, United States
| | - Chen Chen
- Department of Chemistry, Columbia University, New York, New York 10027, United States
| | - Hanqing Xiong
- Department of Chemistry, Columbia University, New York, New York 10027, United States
| | - Jingwei Ji
- Department of Chemistry, Columbia University, New York, New York 10027, United States
| | - Wei Min
- Department of Chemistry, Columbia University, New York, New York 10027, United States
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49
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Dai Y, Bai S, Hu C, Chu K, Shen B, Smith ZJ. Combined Morpho-Chemical Profiling of Individual Extracellular Vesicles and Functional Nanoparticles without Labels. Anal Chem 2020; 92:5585-5594. [PMID: 32162516 DOI: 10.1021/acs.analchem.0c00607] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Biological nanoparticles are important targets of study, yet their small size and tendency to aggregate makes their heterogeneity difficult to profile on a truly single-particle basis. Here we present a label-free system called 'Raman-enabled nanoparticle trapping analysis' (R-NTA) that optically traps individual nanoparticles, records Raman spectra and tracks particle motion to identify chemical composition, size, and refractive index. R-NTA has the unique capacity to characterize aggregation status and absolute chemical concentration at the single-particle level. We validate the method on NIST standards and liposomes, demonstrating that R-NTA can accurately characterize size and chemical heterogeneity, including determining combined morpho-chemical properties such as the number of lamellae in individual liposomes. Applied to extracellular vesicles (EVs), we find distinct differences between EVs from cancerous and noncancerous cells, and that knockdown of the TRPP2 ion channel, which is pathologically highly expressed in laryngeal cancer cells, leads the EVs to more closely resemble EVs from normal epithelial cells. Intriguingly, the differences in EV content are found in small subpopulations of EVs, highlighting the importance of single-particle measurements. These experiments demonstrate the power of the R-NTA system to measure and characterize the morpho-chemical heterogeneity of bionanoparticles.
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Affiliation(s)
- Yichuan Dai
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Dept. of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Suwen Bai
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230026, China
| | - Chuanzhen Hu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Dept. of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Kaiqin Chu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Dept. of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Bing Shen
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230026, China
| | - Zachary J Smith
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Dept. of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
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50
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Zeng W, Guo L, Xu S, Chen J, Zhou J. High-Throughput Screening Technology in Industrial Biotechnology. Trends Biotechnol 2020; 38:888-906. [PMID: 32005372 DOI: 10.1016/j.tibtech.2020.01.001] [Citation(s) in RCA: 128] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 01/01/2020] [Accepted: 01/03/2020] [Indexed: 12/14/2022]
Abstract
Based on the development of automatic devices and rapid assay methods, various high-throughput screening (HTS) strategies have been established for improving the performance of industrial microorganisms. We discuss the most significant factors that can improve HTS efficiency, including the construction of screening libraries with high diversity and the use of new detection methods to expand the search range and highlight target compounds. We also summarize applications of HTS for enhancing the performance of industrial microorganisms. Current challenges and potential improvements to HTS in industrial biotechnology are discussed in the context of rapid developments in synthetic biology, nanotechnology, and artificial intelligence. Rational integration will be an important driving force for constructing more efficient industrial microorganisms with wider applications in biotechnology.
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Affiliation(s)
- Weizhu Zeng
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Likun Guo
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Sha Xu
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Jian Chen
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Jingwen Zhou
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
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