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Bresci A, Kobayashi-Kirschvink KJ, Cerullo G, Vanna R, So PTC, Polli D, Kang JW. Label-free morpho-molecular phenotyping of living cancer cells by combined Raman spectroscopy and phase tomography. Commun Biol 2024; 7:785. [PMID: 38951178 PMCID: PMC11217291 DOI: 10.1038/s42003-024-06496-9] [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: 02/22/2024] [Accepted: 06/23/2024] [Indexed: 07/03/2024] Open
Abstract
Accurate, rapid and non-invasive cancer cell phenotyping is a pressing concern across the life sciences, as standard immuno-chemical imaging and omics require extended sample manipulation. Here we combine Raman micro-spectroscopy and phase tomography to achieve label-free morpho-molecular profiling of human colon cancer cells, following the adenoma, carcinoma, and metastasis disease progression, in living and unperturbed conditions. We describe how to decode and interpret quantitative chemical and co-registered morphological cell traits from Raman fingerprint spectra and refractive index tomograms. Our multimodal imaging strategy rapidly distinguishes cancer phenotypes, limiting observations to a low number of pristine cells in culture. This synergistic dataset allows us to study independent or correlated information in spectral and tomographic maps, and how it benefits cell type inference. This method is a valuable asset in biomedical research, particularly when biological material is in short supply, and it holds the potential for non-invasive monitoring of cancer progression in living organisms.
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Affiliation(s)
- Arianna Bresci
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy.
| | - Koseki J Kobayashi-Kirschvink
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Giulio Cerullo
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy
| | - Renzo Vanna
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy
| | - Peter T C So
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Dario Polli
- Department of Physics, Politecnico di Milano, Milan, 20133, Italy.
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, 20133, Italy.
| | - Jeon Woong Kang
- G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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2
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Polykretis P, D’Andrea C, Banchelli M, Napolitano L, Cascella R, de Angelis M, Matteini P. Exploring the Aβ 1-42 fibrillogenesis timeline by atomic force microscopy and surface enhanced Raman spectroscopy. Front Mol Biosci 2024; 11:1376411. [PMID: 38948077 PMCID: PMC11211275 DOI: 10.3389/fmolb.2024.1376411] [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: 01/25/2024] [Accepted: 05/22/2024] [Indexed: 07/02/2024] Open
Abstract
Introduction: Alzheimer's disease (AD) is a progressive debilitating neurological disorder representing the most common neurodegenerative disease worldwide. Although the exact pathogenic mechanisms of AD remain unresolved, the presence of extracellular amyloid-β peptide 1-42 (Aβ1-42) plaques in the parenchymal and cortical brain is considered one of the hallmarks of the disease. Methods: In this work, we investigated the Aβ1-42 fibrillogenesis timeline up to 48 h of incubation, providing morphological and chemo-structural characterization of the main assemblies formed during the aggregation process of Aβ1-42, by atomic force microscopy (AFM) and surface enhanced Raman spectroscopy (SERS), respectively. Results: AFM topography evidenced the presence of characteristic protofibrils at early-stages of aggregation, which form peculiar macromolecular networks over time. SERS allowed to track the progressive variation in the secondary structure of the aggregation species involved in the fibrillogenesis and to determine when the β-sheet starts to prevail over the random coil conformation in the aggregation process. Discussion: Our research highlights the significance of investigating the early phases of fibrillogenesis to better understand the molecular pathophysiology of AD and identify potential therapeutic targets that may prevent or slow down the aggregation process.
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Affiliation(s)
- Panagis Polykretis
- Institute of Applied Physics “Nello Carrara”, National Research Council, Sesto Fiorentino, Italy
| | - Cristiano D’Andrea
- Institute of Applied Physics “Nello Carrara”, National Research Council, Sesto Fiorentino, Italy
| | - Martina Banchelli
- Institute of Applied Physics “Nello Carrara”, National Research Council, Sesto Fiorentino, Italy
| | - Liliana Napolitano
- Department of Experimental and Clinical Biomedical Sciences, Section of Biochemistry, University of Florence, Florence, Italy
| | - Roberta Cascella
- Department of Experimental and Clinical Biomedical Sciences, Section of Biochemistry, University of Florence, Florence, Italy
| | - Marella de Angelis
- Institute of Applied Physics “Nello Carrara”, National Research Council, Sesto Fiorentino, Italy
| | - Paolo Matteini
- Institute of Applied Physics “Nello Carrara”, National Research Council, Sesto Fiorentino, Italy
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3
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Yang G, Zhang K, Xu W, Xu S. A review of clinical use of surface-enhanced Raman scattering-based biosensing for glioma. Front Neurol 2024; 15:1287213. [PMID: 38651101 PMCID: PMC11033440 DOI: 10.3389/fneur.2024.1287213] [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: 09/01/2023] [Accepted: 02/27/2024] [Indexed: 04/25/2024] Open
Abstract
Glioma is the most common malignant tumor of the nervous system in recent centuries, and the incidence rate of glioma is increasing year by year. Its invasive growth and malignant biological behaviors make it one of the most challenging malignant tumors. Maximizing the resection range (EOR) while minimizing the impact on normal brain tissue is crucial for patient prognosis. Changes in metabolites produced by tumor cells and their microenvironments might be important indicators. As a powerful spectroscopic technique, surface-enhanced Raman scattering (SERS) has many advantages, including ultra-high sensitivity, high specificity, and non-invasive features, which allow SERS technology to be widely applied in biomedicine, especially in the differential diagnosis of malignant tumor tissues. This review first introduced the clinical use of responsive SERS probes. Next, the sensing mechanisms of microenvironment-responsive SERS probes were summarized. Finally, the biomedical applications of these responsive SERS probes were listed in four sections, detecting tumor boundaries due to the changes of pH-responsive SERS probes, SERS probes to guide tumor resection, SERS for liquid biopsy to achieve early diagnosis of tumors, and the application of free-label SERS technology to detect fresh glioma specimens. Finally, the challenges and prospects of responsive SERS detections were summarized for clinical use.
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Affiliation(s)
- Guohui Yang
- China-Japan Union Hospital of Jilin University, Changchun, China
| | - Kaizhi Zhang
- China-Japan Union Hospital of Jilin University, Changchun, China
| | - Weiqing Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, China
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, China
- Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, China
- Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun, China
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4
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Vardaki MZ, Gregoriou VG, Chochos CL. Biomedical applications, perspectives and tag design concepts in the cell - silent Raman window. RSC Chem Biol 2024; 5:273-292. [PMID: 38576725 PMCID: PMC10989507 DOI: 10.1039/d3cb00217a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/12/2024] [Indexed: 04/06/2024] Open
Abstract
Spectroscopic studies increasingly employ Raman tags exhibiting a signal in the cell - silent region of the Raman spectrum (1800-2800 cm-1), where bands arising from biological molecules are inherently absent. Raman tags bearing functional groups which contain a triple bond, such as alkyne and nitrile or a carbon-deuterium bond, have a distinct vibrational frequency in this region. Due to the lack of spectral background and cell-associated bands in the specific area, the implementation of those tags can help overcome the inherently poor signal-to-noise ratio and presence of overlapping Raman bands in measurements of biological samples. The cell - silent Raman tags allow for bioorthogonal imaging of biomolecules with improved chemical contrast and they have found application in analyte detection and monitoring, biomarker profiling and live cell imaging. This review focuses on the potential of the cell - silent Raman region, reporting on the tags employed for biomedical applications using variants of Raman spectroscopy.
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Affiliation(s)
- Martha Z Vardaki
- Institute of Chemical Biology, National Hellenic Research Foundation, 48 Vassileos Constantinou Avenue Athens 11635 Greece
| | - Vasilis G Gregoriou
- Institute of Chemical Biology, National Hellenic Research Foundation, 48 Vassileos Constantinou Avenue Athens 11635 Greece
- Advent Technologies SA, Stadiou Street, Platani Rio Patras 26504 Greece
| | - Christos L Chochos
- Institute of Chemical Biology, National Hellenic Research Foundation, 48 Vassileos Constantinou Avenue Athens 11635 Greece
- Advent Technologies SA, Stadiou Street, Platani Rio Patras 26504 Greece
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5
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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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6
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Piontkowski ZT, Hayes DC, McDonald A, Pattison K, Butler KS, Timlin JA. Label-Free, Noninvasive Bone Cell Classification by Hyperspectral Confocal Raman Microscopy. CHEMICAL & BIOMEDICAL IMAGING 2024; 2:147-155. [PMID: 38425368 PMCID: PMC10900511 DOI: 10.1021/cbmi.3c00106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/06/2023] [Accepted: 12/30/2023] [Indexed: 03/02/2024]
Abstract
Characterizing and identifying cells in multicellular in vitro models remain a substantial challenge. Here, we utilize hyperspectral confocal Raman microscopy and principal component analysis coupled with linear discriminant analysis to form a label-free, noninvasive approach for classifying bone cells and osteosarcoma cells. Through the development of a library of hyperspectral Raman images of the K7M2-wt osteosarcoma cell lines, 7F2 osteoblast cell lines, RAW 264.7 macrophage cell line, and osteoclasts induced from RAW 264.7 macrophages, we built a linear discriminant model capable of correctly identifying each of these cell types. The model was cross-validated using a k-fold cross validation scheme. The results show a minimum of 72% accuracy in predicting cell type. We also utilize the model to reconstruct the spectra of K7M2 and 7F2 to determine whether osteosarcoma cancer cells and normal osteoblasts have any prominent differences that can be captured by Raman. We find that the main differences between these two cell types are the prominence of the β-sheet protein secondary structure in K7M2 versus the α-helix protein secondary structure in 7F2. Additionally, differences in the CH2 deformation Raman feature highlight that the membrane lipid structure is different between these cells, which may affect the overall signaling and functional contrasts. Overall, we show that hyperspectral confocal Raman microscopy can serve as an effective tool for label-free, nondestructive cellular classification and that the spectral reconstructions can be used to gain deeper insight into the differences that drive different functional outcomes of different cells.
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Affiliation(s)
- Zachary T. Piontkowski
- Sandia
National Laboratories, Department of Applied
Optics and Plasma Sciences, 1515 Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
| | - Dulce C. Hayes
- Sandia
National Laboratories, Department of Molecular
and Microbiology, 1515
Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
| | - Anthony McDonald
- Sandia
National Laboratories, Department of Applied
Optics and Plasma Sciences, 1515 Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
| | - Kalista Pattison
- Sandia
National Laboratories, Department of Molecular
and Microbiology, 1515
Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
| | - Kimberly S. Butler
- Sandia
National Laboratories, Department of Molecular
and Microbiology, 1515
Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
| | - Jerilyn A. Timlin
- Sandia
National Laboratories, Department of Molecular
and Microbiology, 1515
Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States
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7
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Koga K, Kajimoto S, Yoshizaki Y, Takahashi H, Kageyama L, Konno T, Nakabayashi T. Establishment of a Method for the Introduction of Poorly Water-Soluble Drugs in Cells and Evaluation of Intracellular Concentration Distribution Using Resonance Raman Imaging. J Phys Chem B 2024; 128:1350-1359. [PMID: 38295808 DOI: 10.1021/acs.jpcb.3c06601] [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: 02/16/2024]
Abstract
Label-free measurement is essential to understand the metabolism of drug molecules introduced into cells. Raman imaging is a powerful method to investigate intracellular drug molecules because it provides in situ label-free observation of introduced molecules. In this study, we propose that Raman imaging can be used not only to observe the intracellular distribution of drug molecules but also to quantitatively visualize the concentration distribution reflecting each organelle in a single living cell using the Raman band of extracellular water as an intensity standard. We dissolved poorly water-soluble all-trans-retinoic acid (ATRA) in water using a cytocompatible amphiphilic phospholipid polymer, poly[2-methacryloyloxyethyl phosphorylcholine-co-n-butyl methacrylate] (PMB) as a solubilizing reagent, introduced it into cells, and obtained the intracellular concentration distribution of ATRA. ATRA was concentrated in the cells and mainly localized to mitochondria and lipid droplets, interacting strongly with mitochondria and weakly with lipid droplets. Poorly water-soluble β-carotene was also introduced into cells using PMB but was not concentrated intracellularly, indicating that β-carotene does not interact specifically with intracellular molecules. We established a protocol for the solubilization and intracellular uptake of poorly water-soluble molecules using PMB and obtaining their concentration distribution using Raman microscopy.
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Affiliation(s)
- Keisuke Koga
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Shinji Kajimoto
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Yuta Yoshizaki
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Hiroaki Takahashi
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Lisa Kageyama
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Tomohiro Konno
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Takakazu Nakabayashi
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578, Japan
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8
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Yonezawa S, Haruki T, Koizumi K, Taketani A, Oshima Y, Oku M, Wada A, Sato T, Masuda N, Tahara J, Fujisawa N, Koshiyama S, Kadowaki M, Kitajima I, Saito S. Establishing Monoclonal Gammopathy of Undetermined Significance as an Independent Pre-Disease State of Multiple Myeloma Using Raman Spectroscopy, Dynamical Network Biomarker Theory, and Energy Landscape Analysis. Int J Mol Sci 2024; 25:1570. [PMID: 38338848 PMCID: PMC10855579 DOI: 10.3390/ijms25031570] [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: 11/30/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
Multiple myeloma (MM) is a cancer of plasma cells. Normal (NL) cells are considered to pass through a precancerous state, such as monoclonal gammopathy of undetermined significance (MGUS), before transitioning to MM. In the present study, we acquired Raman spectra at three stages-834 NL, 711 MGUS, and 970 MM spectra-and applied the dynamical network biomarker (DNB) theory to these spectra. The DNB analysis identified MGUS as the unstable pre-disease state of MM and extracted Raman shifts at 1149 and 1527-1530 cm-1 as DNB variables. The distribution of DNB scores for each patient showed a significant difference between the mean values for MGUS and MM patients. Furthermore, an energy landscape (EL) analysis showed that the NL and MM stages were likely to become stable states. Raman spectroscopy, the DNB theory, and, complementarily, the EL analysis will be applicable to the identification of the pre-disease state in clinical samples.
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Affiliation(s)
- Shota Yonezawa
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Graduate School of Science and Engineering, University of Toyama, Toyama 930-8555, Japan
| | - Takayuki Haruki
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Sustainable Design, University of Toyama, Toyama 930-8555, Japan
| | - Keiichi Koizumi
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Division of Presymptomatic Disease, Institute of Natural Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Akinori Taketani
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Yusuke Oshima
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan
| | - Makito Oku
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Akinori Wada
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Tsutomu Sato
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Naoki Masuda
- Department of Mathematics, State University of New York at Buffalo, Buffalo, NY 14260-2900, USA
- Institute for Artificial Intelligence and Data Science, State University of New York at Buffalo, Buffalo, NY 14260-2200, USA
| | - Jun Tahara
- Division of Presymptomatic Disease, Institute of Natural Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Noritaka Fujisawa
- Graduate School of Science and Engineering, University of Toyama, Toyama 930-8555, Japan
| | - Shota Koshiyama
- Division of Presymptomatic Disease, Institute of Natural Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Makoto Kadowaki
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Isao Kitajima
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Shigeru Saito
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
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9
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Wang W, Vikesland PJ. SERS-Active Printable Hydrogel for 3D Cell Culture and Imaging. Anal Chem 2023; 95:18055-18064. [PMID: 37934619 DOI: 10.1021/acs.analchem.3c02641] [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: 11/09/2023]
Abstract
Hydrogel-based three-dimensional (3D) cell culture systems mimic the salient elements of extracellular matrices and promote native cell function. However, high-resolution 3D cell imaging that can provide biological information about multiple features of individual cells is yet to be realized. In this context, we incorporated plasmonic gold nanoparticles (AuNPs) into an alginate/gelatin hydrogel to produce surface-enhanced Raman spectroscopy (SERS)-active hydrogel inks for the 3D printing and culturing of Vero cells. Dense incorporation of AuNPs enables production of a printed 3D grid structure with 3D SERS performance, but with no measurable adverse effects on cell growth. Label-free SERS spectra were collected within a hydrogel, and a random forest binary classifier was developed to discriminate Vero cell signals from the hydrogel background with an accuracy of 87.5%. The results suggest that SERS signals from cellular components, such as proteins, lipids, and carbohydrates, account for this discrimination. We demonstrate visualization of cell shape, location, and density by combining predicted binary maps with peak feature intensity maps in 2D and 3D. SERS images with a resolution of ≈3 μm match well with the microscopy images and show clear increases in intensity with incubation time. We suggest that 3D SERS cell imaging is a promising means to examine the effect of external cell stimuli on cellular behavior for diagnostic purposes.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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10
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Shaked NT, Boppart SA, Wang LV, Popp J. Label-free biomedical optical imaging. NATURE PHOTONICS 2023; 17:1031-1041. [PMID: 38523771 PMCID: PMC10956740 DOI: 10.1038/s41566-023-01299-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/22/2023] [Indexed: 03/22/2024]
Abstract
Label-free optical imaging employs natural and nondestructive approaches for the visualisation of biomedical samples for both biological assays and clinical diagnosis. Currently, this field revolves around multiple broad technology-oriented communities, each with a specific focus on a particular modality despite the existence of shared challenges and applications. As a result, biologists or clinical researchers who require label-free imaging are often not aware of the most appropriate modality to use. This manuscript presents a comprehensive review of and comparison among different label-free imaging modalities and discusses common challenges and applications. We expect this review to facilitate collaborative interactions between imaging communities, push the field forward and foster technological advancements, biophysical discoveries, as well as clinical detection, diagnosis, and monitoring of disease.
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Affiliation(s)
- Natan T Shaked
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering,; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Lihong V Wang
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, Jena, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Jena, Germany
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11
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Liao HX, Bando K, Li M, Fujita K. Multifocal Raman Spectrophotometer for Examining Drug-Induced and Chemical-Induced Cellular Changes in 3D Cell Spheroids. Anal Chem 2023; 95:14616-14623. [PMID: 37725051 DOI: 10.1021/acs.analchem.3c02129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Cell spheroids offer alternative in vitro cell models to monolayer cultured cells because they express complexities similar to those of in vivo tissues, such as cellular responses to drugs and chemicals. Raman spectroscopy emerged as a powerful analytical tool for detecting chemical changes in living cells because it nondestructively provides vibrational information regarding a target. Although multiple iterations are required in drug screening to determine drugs to treat cell spheroids and assess the inter-spheroid heterogeneity, current Raman applications used in spheroids analysis allow the observation of only a few spheroids owing to the low throughput of Raman spectroscopy. In this study, we developed a multifocal Raman spectrophotometer that enables simultaneous analysis of multiple spheroids in separate wells of a regular 96-well plate. By utilizing 96 focal spots excitation and parallel signal collection, our system can improve the throughput by approximately 2 orders of magnitude compared to a conventional single-focus Raman microscope. The Raman spectra of HeLa cell spheroids treated with anticancer drugs and HepG2 cell spheroids treated with free fatty acids were measured simultaneously, and concentration-dependent cellular responses were observed in both studies. Using the multifocal Raman spectrophotometer, we rapidly observed chemical changes in spheroids, and thus, this system can facilitate the application of Raman spectroscopy in analyzing the cellular responses of spheroids.
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Affiliation(s)
- Hao-Xiang Liao
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
| | - Kazuki Bando
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- AIST Advanced Photonics and Biosensing Open Innovation Laboratory, Suita, Osaka 565-0871, Japan
| | - Menglu Li
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- AIST Advanced Photonics and Biosensing Open Innovation Laboratory, Suita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- AIST Advanced Photonics and Biosensing Open Innovation Laboratory, Suita, Osaka 565-0871, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Suita, Osaka 565-0871, Japan
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12
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Bae H, Rodewald M, Meyer-Zedler T, Bocklitz TW, Matz G, Messerschmidt B, Press AT, Bauer M, Guntinas-Lichius O, Stallmach A, Schmitt M, Popp J. Feasibility studies of multimodal nonlinear endoscopy using multicore fiber bundles for remote scanning from tissue sections to bulk organs. Sci Rep 2023; 13:13779. [PMID: 37612362 PMCID: PMC10447453 DOI: 10.1038/s41598-023-40944-6] [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: 06/08/2023] [Accepted: 08/18/2023] [Indexed: 08/25/2023] Open
Abstract
Here, we report on the development and application of a compact multi-core fiber optical probe for multimodal non-linear imaging, combining the label-free modalities of Coherent Anti-Stokes Raman Scattering, Second Harmonic Generation, and Two-Photon Excited Fluorescence. Probes of this multi-core fiber design avoid moving and voltage-carrying parts at the distal end, thus providing promising improved compatibility with clinical requirements over competing implementations. The performance characteristics of the probe are established using thin cryo-sections and artificial targets before the applicability to clinically relevant samples is evaluated using ex vivo bulk human and porcine intestine tissues. After image reconstruction to counteract the data's inherently pixelated nature, the recorded images show high image quality and morpho-chemical conformity on the tissue level compared to multimodal non-linear images obtained with a laser-scanning microscope using a standard microscope objective. Furthermore, a simple yet effective reconstruction procedure is presented and demonstrated to yield satisfactory results. Finally, a clear pathway for further developments to facilitate a translation of the multimodal fiber probe into real-world clinical evaluation and application is outlined.
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Affiliation(s)
- Hyeonsoo Bae
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), PO Box 100239, 07702, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Erlanger Allee 101, 07747, Jena, Germany
| | - Marko Rodewald
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), PO Box 100239, 07702, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), PO Box 100239, 07702, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | - Thomas W Bocklitz
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | - Gregor Matz
- GRINTECH GmbH, Schillerstraße 1, 07745, Jena, Germany
| | | | - Adrian T Press
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Erlanger Allee 101, 07747, Jena, Germany
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
- Medical Faculty, Friedrich-Schiller University Jena, Kastanienstr. 1, 07747, Jena, Germany
| | - Michael Bauer
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Erlanger Allee 101, 07747, Jena, Germany
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Orlando Guntinas-Lichius
- Department of Otorhinolaryngology, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Andreas Stallmach
- Department of Internal Medicine IV, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Michael Schmitt
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | - Juergen Popp
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), PO Box 100239, 07702, Jena, Germany.
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany.
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13
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Mirveis Z, Howe O, Cahill P, Patil N, Byrne HJ. Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives. Metabolomics 2023; 19:67. [PMID: 37482587 PMCID: PMC10363518 DOI: 10.1007/s11306-023-02031-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Analysis of the glutamine metabolic pathway has taken a special place in metabolomics research in recent years, given its important role in cell biosynthesis and bioenergetics across several disorders, especially in cancer cell survival. The science of metabolomics addresses the intricate intracellular metabolic network by exploring and understanding how cells function and respond to external or internal perturbations to identify potential therapeutic targets. However, despite recent advances in metabolomics, monitoring the kinetics of a metabolic pathway in a living cell in situ, real-time and holistically remains a significant challenge. AIM This review paper explores the range of analytical approaches for monitoring metabolic pathways, as well as physicochemical modeling techniques, with a focus on glutamine metabolism. We discuss the advantages and disadvantages of each method and explore the potential of label-free Raman microspectroscopy, in conjunction with kinetic modeling, to enable real-time and in situ monitoring of the cellular kinetics of the glutamine metabolic pathway. KEY SCIENTIFIC CONCEPTS Given its important role in cell metabolism, the ability to monitor and model the glutamine metabolic pathways are highlighted. Novel, label free approaches have the potential to revolutionise metabolic biosensing, laying the foundation for a new paradigm in metabolomics research and addressing the challenges in monitoring metabolic pathways in living cells.
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Affiliation(s)
- Zohreh Mirveis
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland.
- School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland.
| | - Orla Howe
- School of Biological, Health and Sport Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Paul Cahill
- School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Nitin Patil
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
- School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
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14
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D'Andrea C, Cazzaniga FA, Bistaffa E, Barucci A, de Angelis M, Banchelli M, Farnesi E, Polykretis P, Marzi C, Indaco A, Tiraboschi P, Giaccone G, Matteini P, Moda F. Impact of seed amplification assay and surface-enhanced Raman spectroscopy combined approach on the clinical diagnosis of Alzheimer's disease. Transl Neurodegener 2023; 12:35. [PMID: 37438825 DOI: 10.1186/s40035-023-00367-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/12/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND The current diagnosis of Alzheimer's disease (AD) is based on a series of analyses which involve clinical, instrumental and laboratory findings. However, signs, symptoms and biomarker alterations observed in AD might overlap with other dementias, resulting in misdiagnosis. METHODS Here we describe a new diagnostic approach for AD which takes advantage of the boosted sensitivity in biomolecular detection, as allowed by seed amplification assay (SAA), combined with the unique specificity in biomolecular recognition, as provided by surface-enhanced Raman spectroscopy (SERS). RESULTS The SAA-SERS approach supported by machine learning data analysis allowed efficient identification of pathological Aβ oligomers in the cerebrospinal fluid of patients with a clinical diagnosis of AD or mild cognitive impairment due to AD. CONCLUSIONS Such analytical approach can be used to recognize disease features, thus allowing early stratification and selection of patients, which is fundamental in clinical treatments and pharmacological trials.
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Affiliation(s)
- Cristiano D'Andrea
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Federico Angelo Cazzaniga
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Edoardo Bistaffa
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Andrea Barucci
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Marella de Angelis
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Martina Banchelli
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Edoardo Farnesi
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, 07743, Jena, Germany
- Leibniz Institute of Photonic Technology, 07745, Jena, Germany
| | - Panagis Polykretis
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Chiara Marzi
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy
| | - Antonio Indaco
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Pietro Tiraboschi
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Giorgio Giaccone
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Paolo Matteini
- Institute of Applied Physics "Nello Carrara", National Research Council, 50019, Sesto Fiorentino, Italy.
| | - Fabio Moda
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy.
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15
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Ganesh S, Dharmalingam P, Das S, Venkatakrishnan K, Tan B. Mapping Immune-Tumor Bidirectional Dialogue Using Ultrasensitive Nanosensors for Accurate Diagnosis of Lung Cancer. ACS NANO 2023; 17:8026-8040. [PMID: 37093561 DOI: 10.1021/acsnano.2c09323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Lung cancer is one of the most common cancers with high mortality worldwide despite the development of molecularly targeted therapies and immunotherapies. A significant challenge in managing lung cancer is the accurate diagnosis of cancerous lesions owing to the lack of sensitive and specific biomarkers. The current procedure necessitates an invasive tissue biopsy for diagnosis and molecular subtyping, which presents patients with risk, morbidity, anxiety, and high false-positive rates. The high-risk diagnostic approach has highlighted the need to search for a reliable, low-risk noninvasive diagnostic approach to capture lung cancer heterogeneity precisely. The immune interaction profile of lung cancer is driven by immune cells' distinctive, precise interactions with the tumor microenvironment. Here, we hypothesize that immune cells, particularly T cells, can be used for accurate lung cancer diagnosis by exploiting the distinctive immune-tumor interaction by detecting the immune-diagnostic signature. We have developed an ultrasensitive T-sense nanosensor to probe these specific diagnostic signatures using the physical synthesis process of multiphoton ionization. Our research employed predictive in vitro models of lung cancers, cancer-associated T cells (PCAT, MCAT) and CSC-associated T cells (PCSCAT, MCSCAT), from primary and metastatic lung cancer patients to reveal the immune-diagnostic signature and uncover the molecular, functional, and phenotypic separation between patient-derived T cells (PDT) and healthy samples. We demonstrated this by adopting a machine learning model trained with SERS data obtained using cocultured T cells with preclinical models (CAT, CSCAT) of primary (H69AR) and metastatic lung cancer (H1915). Interrogating these distinct signatures with PDT captured the complexity and diversity of the tumor-associated T cell signature across the patient population, exposing the clinical feasibility of immune diagnosis in an independent cohort of patient samples. Thus, our predictive approach using T cells from the patient peripheral blood showed a highly accurate diagnosis with a specificity and sensitivity of 94.1% and 100%, respectively, for primary lung cancer and 97.9% and 94.4% for metastatic lung cancer. Our results prove that the immune-diagnostic signature developed in this study could be used as a clinical technology for cancer diagnosis and determine the course of clinical management with T cells.
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Affiliation(s)
- Swarna Ganesh
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Priya Dharmalingam
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Sunit Das
- Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Ontario M5B 1W8 Canada
| | - Krishnan Venkatakrishnan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Bo Tan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Nano Characterization Laboratory, Department of Aerospace Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
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16
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Krafft C, Popp J, Bronsert P, Miernik A. Raman Spectroscopic Imaging of Human Bladder Resectates towards Intraoperative Cancer Assessment. Cancers (Basel) 2023; 15:cancers15072162. [PMID: 37046822 PMCID: PMC10093366 DOI: 10.3390/cancers15072162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/28/2023] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Raman spectroscopy offers label-free assessment of bladder tissue for in vivo and ex vivo intraoperative applications. In a retrospective study, control and cancer specimens were prepared from ten human bladder resectates. Raman microspectroscopic images were collected from whole tissue samples in a closed chamber at 785 nm laser excitation using a 20× objective lens and 250 µm step size. Without further preprocessing, Raman images were decomposed by the hyperspectral unmixing algorithm vertex component analysis into endmember spectra and their abundancies. Hierarchical cluster analysis distinguished endmember Raman spectra that were assigned to normal bladder, bladder cancer, necrosis, epithelium and lipid inclusions. Interestingly, Raman spectra of microplastic particles, pigments or carotenoids were detected in 13 out of 20 specimens inside tissue and near tissue margins and their identity was confirmed by spectral library surveys. Hypotheses about the origin of these foreign materials are discussed. In conclusion, our Raman workflow and data processing protocol with minimal user interference offers advantages for future clinical translation such as intraoperative tumor detection and label-free material identification in complex matrices.
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Affiliation(s)
- Christoph Krafft
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies and Member of the Leibniz Centre for Photonics in Infection Research, 07745 Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies and Member of the Leibniz Centre for Photonics in Infection Research, 07745 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research, 07743 Jena, Germany
| | - Peter Bronsert
- Medical Center, Faculty of Medicine, Institute of Surgical Pathology, University of Freiburg, 79106 Freiburg, Germany
| | - Arkadiusz Miernik
- Medical Center, Faculty of Medicine, Department of Urology, University of Freiburg, 79106 Freiburg, Germany
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17
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Laurino A, Franceschini A, Pesce L, Cinci L, Montalbano A, Mazzamuto G, Sancataldo G, Nesi G, Costantini I, Silvestri L, Pavone FS. A Guide to Perform 3D Histology of Biological Tissues with Fluorescence Microscopy. Int J Mol Sci 2023; 24:ijms24076747. [PMID: 37047724 PMCID: PMC10094801 DOI: 10.3390/ijms24076747] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/09/2023] Open
Abstract
The analysis of histological alterations in all types of tissue is of primary importance in pathology for highly accurate and robust diagnosis. Recent advances in tissue clearing and fluorescence microscopy made the study of the anatomy of biological tissue possible in three dimensions. The combination of these techniques with classical hematoxylin and eosin (H&E) staining has led to the birth of three-dimensional (3D) histology. Here, we present an overview of the state-of-the-art methods, highlighting the optimal combinations of different clearing methods and advanced fluorescence microscopy techniques for the investigation of all types of biological tissues. We employed fluorescence nuclear and eosin Y staining that enabled us to obtain hematoxylin and eosin pseudo-coloring comparable with the gold standard H&E analysis. The computational reconstructions obtained with 3D optical imaging can be analyzed by a pathologist without any specific training in volumetric microscopy, paving the way for new biomedical applications in clinical pathology.
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Affiliation(s)
- Annunziatina Laurino
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Alessandra Franceschini
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Luca Pesce
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Lorenzo Cinci
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, Careggi University Hospital, 50134 Florence, Italy
| | - Alberto Montalbano
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Neurofarba Section of Pharmacology and Toxicology, University of Florence, 50139 Florence, Italy
| | - Giacomo Mazzamuto
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
| | - Giuseppe Sancataldo
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Gabriella Nesi
- Department of Health Sciences, University of Florence, 50139 Florence, Italy
| | - Irene Costantini
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
- Department of Biology, University of Florence, 50019 Florence, Italy
| | - Ludovico Silvestri
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
| | - Francesco Saverio Pavone
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
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18
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Alonso D, Garcia J, Micó V. Fluholoscopy-Compact and Simple Platform Combining Fluorescence and Holographic Microscopy. BIOSENSORS 2023; 13:253. [PMID: 36832019 PMCID: PMC9954010 DOI: 10.3390/bios13020253] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
The combination of different imaging modalities into single imaging platforms has a strong potential in biomedical sciences as it permits the analysis of complementary properties of the target sample. Here, we report on an extremely simple, cost-effective, and compact microscope platform for achieving simultaneous fluorescence and quantitative phase imaging modes with the capability of working in a single snapshot. It is based on the use of a single illumination wavelength to both excite the sample's fluorescence and provide coherent illumination for phase imaging. After passing the microscope layout, the two imaging paths are separated using a bandpass filter, and the two imaging modes are simultaneously obtained using two digital cameras. We first present calibration and analysis of both fluorescence and phase imaging modalities working independently and, later on, experimental validation for the proposed common-path dual-mode imaging platform considering static (resolution test targets, fluorescent micro-beads, and water-suspended lab-made cultures) as well as dynamic (flowing fluorescent beads, human sperm cells, and live specimens from lab-made cultures) samples.
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19
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Label-free live microalgal starch screening via Raman flow cytometry. ALGAL RES 2023. [DOI: 10.1016/j.algal.2023.102993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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20
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Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases. Int J Mol Sci 2023; 24:ijms24032384. [PMID: 36768712 PMCID: PMC9917237 DOI: 10.3390/ijms24032384] [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: 12/20/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
The Raman phenomenon is based on the spontaneous inelastic scattering of light, which depends on the molecular characteristics of the dispersant. Therefore, Raman spectroscopy and imaging allow us to obtain direct information, in a label-free manner, from the chemical composition of the sample. Since it is well established that the development of many brain diseases is associated with biochemical alterations of the affected tissue, Raman spectroscopy and imaging have emerged as promising tools for the diagnosis of ailments. A combination of Raman spectroscopy and/or imaging with tagged molecules could also help in drug delivery and tracing for treatment of brain diseases. In this review, we first describe the basics of the Raman phenomenon and spectroscopy. Then, we delve into the Raman spectroscopy and imaging modes and the Raman-compatible tags. Finally, we center on the application of Raman in the study, diagnosis, and treatment of brain diseases, by focusing on traumatic brain injury and ischemia, neurodegenerative disorders, and brain cancer.
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21
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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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22
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Mitsutake H, Rodrigues da Silva GH, Breitkreitz MC, de Paula E, Bordallo HN. Neither too little nor too much: Finding the ideal proportion of excipients using confocal Raman and chemometrics. Eur J Pharm Biopharm 2022; 181:136-146. [PMID: 36400252 DOI: 10.1016/j.ejpb.2022.11.008] [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: 09/14/2022] [Revised: 10/21/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022]
Abstract
The applications of Raman imaging in pharmaceutical field are ever-increasing due its ability to obtain spatial and spectral information simultaneously, once it allows determine the chemical distribution of compounds. In this sense, it is used to study homogeneity, of paramount importance during the development of pharmaceutical formulations due to its relation to stability, safety and efficacy. Commonly, just surface is analyzed, but confocal Raman spectroscopy can also characterize the inner part of samples, allowing to determine phase separation in the early stages. In this sense, confocal 3D Raman microscopy was crucial to obtain the optimal proportion of Apifil®, Capryol® 90 and Transcutol® to promote controlled release of the local anesthetic butamben (BTB). 3D chemical maps were obtained by classical least squares (CLS) using pure compound spectra as S matrix, showing that chemical distribution throughout the material was different. Knowing that the composition of samples affects the homogeneity parameter, standard deviation and distributional homogeneity index (DHI) were used in mixture experimental design (DoE). From this analysis, it was revealed that a correct amount of Capryol® 90 enhances both miscibility and solubility. Furthermore, suitable miscibility was observed in two ratio proportions of excipients with a desirability of 0.783 and 0.742. These results unequivocally demonstrated that confocal Raman microscopy combined to DoE can bring pharmaceutical development to a higher level.
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Affiliation(s)
- Hery Mitsutake
- Department of Biochemistry and Tissue Biology, Institute of Biology, Unicamp. Rua Monteiro Lobato, 255. bloco F sup., sala 9, Campinas, SP 13083-862, Brazil; Niels Bohr Institute, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark.
| | - Gustavo H Rodrigues da Silva
- Department of Biochemistry and Tissue Biology, Institute of Biology, Unicamp. Rua Monteiro Lobato, 255. bloco F sup., sala 9, Campinas, SP 13083-862, Brazil.
| | - Márcia C Breitkreitz
- Department of Analytical Chemistry, Institute of Chemistry, Unicamp, Rua Josué de Castro, s/n Cid. Universitária Zeferino Vaz, Campinas, SP 13084-970, Brazil.
| | - Eneida de Paula
- Department of Biochemistry and Tissue Biology, Institute of Biology, Unicamp. Rua Monteiro Lobato, 255. bloco F sup., sala 9, Campinas, SP 13083-862, Brazil.
| | - Heloisa N Bordallo
- Niels Bohr Institute, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark.
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23
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Li J, Khalenkow D, Volodkin D, Lapanje A, Skirtach AG, Parakhonskiy BV. Surface enhanced Raman scattering (SERS)-active bacterial detection by Layer-by-Layer (LbL) assembly all-nanoparticle microcapsules. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.129547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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24
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Label-free chemical imaging of cytochrome P450 activity by Raman microscopy. Commun Biol 2022; 5:778. [PMID: 35995965 PMCID: PMC9395422 DOI: 10.1038/s42003-022-03713-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 07/13/2022] [Indexed: 12/27/2022] Open
Abstract
Although investigating drug modulation of cytochrome P450 (CYP) activity under physiological conditions is crucial in drug development to avoid severe adverse drug reactions, the current evaluation approaches that rely on the destructive and end-point analysis can be misleading due to invasive treatments and cellular heterogeneity. Here, we propose a non-destructive and high-content method for visualizing and quantifying intracellular CYP activity under drug administration by Raman microscopy. The redox-state and spin-state sensitive Raman measurement indicated that the induced CYPs in living hepatocytes were in oxidized and low-spin state, which is related to monooxygenase function of CYP. Moreover, glycogen depletion associated with CYP induction was simultaneously observed, indicating a relevant effect on glucose metabolism. By deciphering the overall changes in the biochemical fingerprints of hepatocytes, Raman microscopy offers a non-destructive and quantitative chemical imaging method to evaluate CYP activity at the single-cell level with the potential to facilitate future drug development schemes.
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25
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Chen J, Qu X, Qi G, Xu W, Jin Y, Xu S. Electrostimulus-triggered reactive oxygen species level in organelles revealed by organelle-targeting SERS nanoprobes. Anal Bioanal Chem 2022; 414:6965-6975. [PMID: 35976421 DOI: 10.1007/s00216-022-04265-3] [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: 06/15/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/01/2022]
Abstract
Electrostimulation (ES) is an important therapeutic method for diseases caused by abnormal intracellular electrical activity. Also, it can induce apoptosis of cells, which is a potential tumor treatment method. At present, there are no relevant studies on changes in intracellular reactive oxygen species (ROS) levels produced in the process of ES, or on the effects of simultaneous implementation of conventional antioxidant inhibitor drugs and ES therapy. To reveal these, two organelle-targeting core-shell plasmonic probes were designed for measuring ROS produced during ES. The probes were delivered into target organelles (nucleus and mitochondrion) before the cells were electrically stimulated for different periods of time. Surface-enhanced Raman scattering (SERS) signals were detected in situ, and the sensing mechanism for the quantitative analysis of ROS is based on the signal reduction of SERS caused by the ROS-etching effect on the silver shell. The detection results revealed that ES could trigger ROS generation in cells, and the ROS levels localized around organelles were assessed by SERS. This study has great potential for exploring abnormal organelle microenvironments via organelle-targeting probes combined with SERS technology.
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Affiliation(s)
- Jiaming Chen
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.,Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Xiaozhang Qu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.,Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.,First Hospital of Jilin University, Changchun, 130031, People's Republic of China
| | - Guohua Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, People's Republic of China
| | - Weiqing Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.,Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China
| | - Yongdong Jin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, People's Republic of China
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China. .,Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China. .,Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
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26
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Bon P, Cognet L. On Some Current Challenges in High-Resolution Optical Bioimaging. ACS PHOTONICS 2022; 9:2538-2546. [PMID: 35996373 PMCID: PMC9389608 DOI: 10.1021/acsphotonics.2c00606] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
In this Perspective we propose our current point of view and a suggestive roadmap on the field of high-resolution optical microscopy dedicated to bioimaging. Motivated by biological applications, researchers have indeed devised an impressive amount of strategies to address the diverse constraints of imaging and studying biological matter down to the molecular scale, making this interdisciplinary research field a vibrant forum for creativity. Throughout the discussion, we highlight several striking recent successes in this quest. We also identify some next challenges still ahead to apprehend biological questions in increasingly complex living organisms for integrative studies in a minimally invasive manner.
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Affiliation(s)
- Pierre Bon
- Laboratoire
Photonique Numérique et Nanosciences, University of Bordeaux, F-33400 Talence, France
- LP2N
UMR 5298, Institut d’Optique Graduate
School, CNRS, F-33400 Talence, France
| | - Laurent Cognet
- Laboratoire
Photonique Numérique et Nanosciences, University of Bordeaux, F-33400 Talence, France
- LP2N
UMR 5298, Institut d’Optique Graduate
School, CNRS, F-33400 Talence, France
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27
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Shoup D, Scarpitti BT, Schultz ZD. A Wide-Field Imaging Approach for Simultaneous Super-Resolution Surface-Enhanced Raman Scattering Bioimaging and Spectroscopy. ACS MEASUREMENT SCIENCE AU 2022; 2:332-341. [PMID: 35996539 PMCID: PMC9389649 DOI: 10.1021/acsmeasuresciau.2c00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
High spatial resolution imaging and chemical-specific detection in living organisms is important in a wide range of fields from medicine to catalysis. In this work, we characterize a wide-field surface-enhanced Raman scattering (SERS) imaging approach capable of simultaneously capturing images and SERS spectra from nanoparticle SERS tags in cancer cells. By passing the image through a transmission diffraction grating before it reaches an array detector, we record the image and wavelength dispersed signal simultaneously on the camera sensor. Optimization of the experiment provides an approach with better spectral resolution and more rapid acquisition than liquid crystal tunable filters commonly used for wide-field SERS imaging. Intensity fluctuations inherent to SERS enabled localization algorithms to be applied to both the spatial and spectral domain, providing super-resolution SERS images that are correlated with improved peak positions identified in the spectrum of the SERS tag. The detected Raman signal is shown to be sensitive to the focal plane, providing three-dimensional (3D) sectioning abilities for the detected nanoparticles. Our work demonstrates spectrally resolved super-resolution SERS imaging that has the potential to be applied to complex physical and biological imaging applications.
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Affiliation(s)
- Deben
N. Shoup
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Brian T. Scarpitti
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Zachary D. Schultz
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
- Comprehensive
Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
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28
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Li M, Liao HX, Bando K, Nawa Y, Fujita S, Fujita K. Label-Free Monitoring of Drug-Induced Cytotoxicity and Its Molecular Fingerprint by Live-Cell Raman and Autofluorescence Imaging. Anal Chem 2022; 94:10019-10026. [PMID: 35786862 DOI: 10.1021/acs.analchem.2c00293] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Simultaneous observation of drug distribution at the effector site and subsequent cell response are essential in the drug development process. However, few studies have visualized the drug itself and biomolecular interactions in living cells. Here, we used label-free Raman microscopy to investigate drug-induced cytotoxicity and visualize drug uptake and subcellular localization by its specific molecular fingerprint. A redox-sensitive Raman microscope detected the decrease of reduced cytochrome c (cyt c) after Actinomycin D (ActD) treatment in a time-dependent and dose-dependent format. Immunofluorescence staining of cyt c suggested that the release of cyt c was not the major cause. Combining Raman microscopy with conventional biological methods, we reported that the oxidization of cyt c is an early cytotoxicity marker prior to the release of cyt c. Moreover, as the spectral properties of ActD are sensitive to the surrounding environment, subcellular localization of ActD was visualized sensitively by the weak autofluorescence, and the intercalation of ActD into DNA was detected by shifted Raman peaks, allowing for parallel observation of drug uptake and the mechanism of action. In this research, we achieved simultaneous observation of cytotoxicity and cellular drug uptake by Raman microscopy, which could facilitate a precise understanding of pharmacological effects and predict potential drug toxicity in the future.
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Affiliation(s)
- Menglu Li
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.,AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 YamadaokaSuita, Osaka 565-0871, Japan
| | - Hao-Xiang Liao
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Kazuki Bando
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yasunori Nawa
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.,AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 YamadaokaSuita, Osaka 565-0871, Japan
| | - Satoshi Fujita
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.,AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 YamadaokaSuita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.,AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 YamadaokaSuita, Osaka 565-0871, Japan.,Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
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29
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Bando K, Yabuuchi S, Li M, Kubo T, Oketani R, Smith NI, Fujita K. Bessel-beam illumination Raman microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:3161-3170. [PMID: 35781960 PMCID: PMC9208613 DOI: 10.1364/boe.456138] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
We demonstrate the use of Bessel beams for side illumination slit-scanning Raman imaging for label-free and hyperspectral analysis of cell spheroids. The background elimination by the side illumination and the aberration-resistant Bessel beam drastically improves the image contrast in Raman observation, allowing label-free investigation of intracellular molecules in thick biological samples. Live cell spheroids were observed to confirm the improvement in image contrast and background reduction with Bessel illumination compared to conventional epi-line illumination.
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Affiliation(s)
- Kazuki Bando
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Shumpei Yabuuchi
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Menglu Li
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Toshiki Kubo
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Ryosuke Oketani
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Nicholas I. Smith
- Immunology Frontier Research Center, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
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30
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Estimating the Analytical Performance of Raman Spectroscopy for Quantification of Active Ingredients in Human Stratum Corneum. Molecules 2022; 27:molecules27092843. [PMID: 35566190 PMCID: PMC9105701 DOI: 10.3390/molecules27092843] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 01/16/2023] Open
Abstract
Confocal Raman microscopy (CRM) has become a versatile technique that can be applied routinely to monitor skin penetration of active molecules. In the present study, CRM coupled to multivariate analysis (namely PLSR—partial least squares regression) is used for the quantitative measurement of an active ingredient (AI) applied to isolated (ex vivo) human stratum corneum (SC), using systematically varied doses of resorcinol, as model compound, and the performance is quantified according to key figures of merit defined by regulatory bodies (ICH, FDA, and EMA). A methodology is thus demonstrated to establish the limit of detection (LOD), precision, accuracy, sensitivity (SEN), and selectivity (SEL) of the technique, and the performance according to these key figures of merit is compared to that of similar established methodologies, based on studies available in literature. First, principal components analysis (PCA) was used to examine the variability within the spectral data set collected. Second, ratios calculated from the area under the curve (AUC) of characteristic resorcinol and proteins/lipids bands (1400–1500 cm−1) were used to perform linear regression analysis of the Raman spectra. Third, cross-validated PLSR analysis was applied to perform quantitative analysis in the fingerprint region. The AUC results show clearly that the intensities of Raman features in the spectra collected are linearly correlated to resorcinol concentrations in the SC (R2 = 0.999) despite a heterogeneity in the distribution of the active molecule in the samples. The Root Mean Square Error of Cross-Validation (RMSECV) (0.017 mg resorcinol/mg SC), The Root Mean Square of Prediction (RMSEP) (0.015 mg resorcinol/mg SC), and R2 (0.971) demonstrate the reliability of the linear regression constructed, enabling accurate quantification of resorcinol. Furthermore, the results have enabled the determination, for the first time, of numerical criteria to estimate analytical performances of CRM, including LOD, precision using bias corrected mean square error prediction (BCMSEP), sensitivity, and selectivity, for quantification of the performance of the analytical technique. This is one step further towards demonstrating that Raman spectroscopy complies with international guidelines and to establishing the technique as a reference and approved tool for permeation studies.
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31
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Yang W, Knorr F, Latka I, Vogt M, Hofmann GO, Popp J, Schie IW. Real-time molecular imaging of near-surface tissue using Raman spectroscopy. LIGHT, SCIENCE & APPLICATIONS 2022; 11:90. [PMID: 35396506 PMCID: PMC8993924 DOI: 10.1038/s41377-022-00773-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/09/2022] [Accepted: 03/19/2022] [Indexed: 05/08/2023]
Abstract
The steady progress in medical diagnosis and treatment of diseases largely hinges on the steady development and improvement of modern imaging modalities. Raman spectroscopy has attracted increasing attention for clinical applications as it is label-free, non-invasive, and delivers molecular fingerprinting information of a sample. In combination with fiber optic probes, it also allows easy access to different body parts of a patient. However, image acquisition with fiber optic probes is currently not possible. Here, we introduce a fiber optic probe-based Raman imaging system for the real-time molecular virtual reality data visualization of chemical boundaries on a computer screen and the physical world. The approach is developed around a computer vision-based positional tracking system in conjunction with photometric stereo and augmented and mixed chemical reality, enabling molecular imaging and direct visualization of molecular boundaries of three-dimensional surfaces. The proposed approach achieves a spatial resolution of 0.5 mm in the transverse plane and a topology resolution of 0.6 mm, with a spectral sampling frequency of 10 Hz, and can be used to image large tissue areas in a few minutes, making it highly suitable for clinical tissue-boundary demarcation. A variety of applications on biological samples, i.e., distribution of pharmaceutical compounds, brain-tumor phantom, and various types of sarcoma have been characterized, showing that the system enables rapid and intuitive assessment of molecular boundaries.
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Affiliation(s)
- Wei Yang
- Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Florian Knorr
- Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Ines Latka
- Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Matthias Vogt
- Department of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Gunther O Hofmann
- Department of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology Jena, 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
| | - Iwan W Schie
- Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany.
- Department of Medical Engineering and Biotechnology, University of Applied Sciences - Jena, Carl-Zeiss-Promenade 2, 07745, Jena, Germany.
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32
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Horgan CC, Jensen M, Chiappini C, Vercauteren T, Cook R, Bergholt MS. Hybrid confocal Raman endomicroscopy for morpho-chemical tissue characterization. BIOMEDICAL OPTICS EXPRESS 2022; 13:2278-2285. [PMID: 35519240 PMCID: PMC9045932 DOI: 10.1364/boe.449110] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/06/2022] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
Confocal laser endomicroscopy (CLE) offers imaging of tissue microarchitecture and has emerged as a promising tool for in vivo clinical diagnosis of cancer across many organs. CLE, however, can show high inter-observer dependency and does not provide information about tissue molecular composition. In contrast, Raman spectroscopy is a label-free optical technique that provides detailed biomolecular compositional information but offers limited or no morphological information. Here we present a novel hybrid fiber-optic confocal Raman endomicroscopy system for morpho-chemical tissue imaging and analysis. The developed confocal endomicroscopy system is based on a novel detection scheme for rejecting Raman silica fiber interference permitting simultaneous CLE imaging and Raman spectral acquisition of tissues through a coherent fiber bundle. We show that this technique enables real-time microscopic visualization of tissue architecture as well as simultaneous pointwise label-free biomolecular characterization and fingerprinting of tissue paving the way for multimodal diagnostics at endoscopy.
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Affiliation(s)
- Conor C. Horgan
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 9RT, UK
| | - Magnus Jensen
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 9RT, UK
| | - Ciro Chiappini
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 9RT, UK
- London Centre for Nanotechnology, King’s College London, London WC2R 2LS, UK
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, UK
| | - Richard Cook
- Centre for Oral, Clinical and Translational Sciences, King’s College London, London SE1 9RT, UK
| | - Mads S. Bergholt
- Centre for Craniofacial and Regenerative Biology, King’s College London, London SE1 9RT, UK
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33
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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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34
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Liu XY, Guo S, Bocklitz T, Rösch P, Popp J, Yu HQ. Nondestructive 3D imaging and quantification of hydrated biofilm matrix by confocal Raman microscopy coupled with non-negative matrix factorization. WATER RESEARCH 2022; 210:117973. [PMID: 34959065 DOI: 10.1016/j.watres.2021.117973] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/30/2021] [Accepted: 12/14/2021] [Indexed: 06/14/2023]
Abstract
Biofilms are ubiquitous in natural and engineered environments and of great importance in drinking water distribution and biological wastewater treatment systems. Simultaneously acquiring the chemical and structural information of the hydrated biofilm matrix is essential for the cognition and regulation of biofilms in the environmental field. However, the complexity of samples and the limited approaches prevent a holistic understanding of the biofilm matrix. In this work, an approach based on the confocal Raman mapping technique integrated with non-negative matrix factorization (NMF) analysis was developed to probe the hydrated biofilm matrix in situ. The flexibility of the NMF analysis was utilized to subtract the undesired water background signal and resolve the meaningful biological components from Raman spectra of the hydrated biofilms. Diverse chemical components such as proteins, bacterial cells, glycolipids and polyhydroxyalkanoates (PHA) were unraveled within the distinct Pseudomonas spp. biofilm matrices, and the corresponding 3-dimensional spatial organization was visualized and quantified. Of these components, glycolipids and PHA were unique to the P. aeruginosa and P. putida biofilm matrix, respectively. Furthermore, their high abundances in the lower region of the biofilm matrix were found to be related to the specific physiological functions and surrounding microenvironments. Overall, the results demonstrate that our NMF Raman mapping method could serve as a powerful tool complementary to the conventional approaches for identifying and visualizing the chemical components in the biofilm matrix. This work may facilitate the online characterization of the biofilm matrix widely present in the environment and advance the fundamental understanding of biofilm.
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Affiliation(s)
- Xiao-Yang Liu
- CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China; School of Energy & Environmental Engineering, Hebei University of Technology, Tianjin 300130, China; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, Jena D-07743, Germany; InfectoGnostics Research Campus Jena, Philosophenweg 7, Jena D-07743, Germany
| | - Shuxia Guo
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, Jena D-07743, Germany; Leibniz Institute of Photonic Technology Jena - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Strasse 9, Jena D-07745, Germany
| | - Thomas Bocklitz
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, Jena D-07743, Germany; Leibniz Institute of Photonic Technology Jena - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Strasse 9, Jena D-07745, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, Jena D-07743, Germany; InfectoGnostics Research Campus Jena, Philosophenweg 7, Jena D-07743, Germany
| | - Jürgen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, Jena D-07743, Germany; InfectoGnostics Research Campus Jena, Philosophenweg 7, Jena D-07743, Germany; Center for Sepsis Control and Care (CSCC), Jena University Hospital, Am Klinikum 1, Jena D-07743, Germany; Leibniz Institute of Photonic Technology Jena - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Strasse 9, Jena D-07745, Germany.
| | - Han-Qing Yu
- CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
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35
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Chen X, Li X, Yang H, Xie J, Liu A. Diagnosis and staging of diffuse large B-cell lymphoma using label-free surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120571. [PMID: 34752994 DOI: 10.1016/j.saa.2021.120571] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/24/2021] [Accepted: 10/28/2021] [Indexed: 05/27/2023]
Abstract
Non-invasive diagnosis and staging of diffuse large B-cell lymphoma (DLBCL) were achieved using label-free surface-enhanced Raman spectroscopy (SERS). SERS spectra were measured for serum samples of DLBCL patients at different progressive stages and healthy controls (HCs), using colloidal silver nano-particles (AgNPs) as the substrate. Differences in the spectral intensities of Raman peaks were observed between the DLBCL and HC groups, and a close correlation between the spectral intensities of Raman peaks with the progressive stages of the cancer was obtained, demonstrating the possibility of diagnosis and staging of the disease using the serum SERS spectra. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM) classifier, and k-nearest neighbors (kNN) classifier, were used to build the diagnosis and staging models for DLBCL. Leave-one-out cross-validation was used to evaluate the performances of the models. The kNN model achieved the best performances for both diagnosis and staging of DLBCL: for the diagnosis analysis, the accuracy, sensitivity, and specificity were 87.3%, 0.921, and 0.809, respectively; for the staging analysis between the early (Stage I & II) and the late (Stage III & IV) stages, the accuracy was 90.6%, and the sensitivity values for the early and the late stages were 0.947 and 0.800, respectively. The label-free serum SERS in combination with multivariate analysis could serve as a potential technique for non-invasive diagnosis and staging of DLBCL.
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Affiliation(s)
- Xue Chen
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China.
| | - Xiaohui Li
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China.
| | - Hao Yang
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Jinmei Xie
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Aichun Liu
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China
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36
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Olson JE, Yu JH, Thimes RL, Camden JP. Vibrational two-photon microscopy for tissue imaging: Short-wave infrared surface-enhanced resonance hyper-Raman scattering. JOURNAL OF BIOPHOTONICS 2022; 15:e202100158. [PMID: 34609064 DOI: 10.1002/jbio.202100158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 09/07/2021] [Accepted: 09/30/2021] [Indexed: 06/13/2023]
Abstract
Multiphoton microscopy using short-wave infrared (SWIR) radiation offers nondestructive and high-resolution imaging through tissue. Two-photon fluorescence (TPF), for example, is commonly employed to increase the penetration depth and spatial resolution of SWIR imaging, but the broad spectral peaks limit its multiplexing capabilities. Hyper-Raman scattering, the vibrational analog of TPF, yields spectral features on the order of 20 cm-1 and reporter-functionalized noble metal nanoparticles (NPs) provide a platform for both hyper-Raman signal enhancement and selective targeting in biological media. Herein we report the first tissue imaging study employing surface-enhanced resonance hyper-Raman scattering (SERHRS), the two-photon analog of surface-enhanced resonance Raman scattering. Specifically, we employ multicore gold-silica NPs (Au@SiO2 NPs) functionalized with a near infrared-resonant cyanine dye, 3,3'-diethylthiatricarbocyanine iodide as a SERHRS reporter. SWIR SERHRS spectra are efficiently acquired from mouse spleen tissue. SWIR SERHRS combines two-photon imaging advantages with narrow vibrational peak widths, presenting future applications of multitargeted bioimaging.
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Affiliation(s)
- Jacob E Olson
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA
| | - Jung Ho Yu
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California, USA
| | - Rebekah L Thimes
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA
| | - Jon P Camden
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA
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37
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Zou F, Zhang L, Zou X, Huang J, Nie C, Jiang J, Guo C, Wang H, Ma X, Ji M. Differential characterization of lumbar spine associated tissue histology with nonlinear optical microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:474-484. [PMID: 35154886 PMCID: PMC8803016 DOI: 10.1364/boe.446351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/12/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Percutaneous endoscopic lumbar discectomy (PELD) is the major effective treatment for lumbar disc herniation, and rapid histological identification of dissected tissue is critical to guide the discectomy. In this work, we revealed the histological features of different types of peridural tissues of the lumbar spine by label-free multi-modal nonlinear optical microscopy. Stimulated Raman scattering (SRS) was used to extract lipid and protein distributions, while second harmonic generation (SHG) and two-photon excited fluorescence (TPEF) signals were applied to image the collagen and elastin fibers at the same time. Our results demonstrated that the nonlinear optical features of the dura and adjacent soft tissues were significantly different, showing the potentials of our method for intraoperative differentiation of these critical tissues and improving the surgical outcome of PELD.
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Affiliation(s)
- Fei Zou
- Department of Orthopaedics, Huashan Hospital, Fudan University, Shanghai 200040, China
- These authors contributed equally
| | - Lili Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Multiscale Research Institute of Complex Systems, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
- These authors contributed equally
| | - Xiang Zou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
- These authors contributed equally
| | - Jing Huang
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Multiscale Research Institute of Complex Systems, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Cong Nie
- Department of Orthopaedics, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jianyuan Jiang
- Department of Orthopaedics, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Chongyuan Guo
- Shanghai Starriver Bilingual School, Shanghai 201108, China
| | - Hongli Wang
- Department of Orthopaedics, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiaosheng Ma
- Department of Orthopaedics, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Multiscale Research Institute of Complex Systems, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
- Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City, Zhejiang 322000, China
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38
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Akaji S, Sagawa T, Honda A, Miyasaka N, Sadakane K, Ichinose T, Takano H. Post-staining Raman analysis of histological sections following decolorization. Analyst 2022; 147:4473-4479. [DOI: 10.1039/d2an01138g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This study proposed to observe HE-stained tissue structure and Raman fingerprint mapping on the identical tissue slide after a decolorizing step.
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Affiliation(s)
- Sakiko Akaji
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Tomoya Sagawa
- Inflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| | - Natsuko Miyasaka
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| | - Kaori Sadakane
- Department of Health Science, Oita University of Nursing and Health Sciences, Oita 870-1201, Japan
| | - Takamichi Ichinose
- Department of Health Science, Oita University of Nursing and Health Sciences, Oita 870-1201, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
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39
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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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40
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Horgan CC, Jensen M, Nagelkerke A, St-Pierre JP, Vercauteren T, Stevens MM, Bergholt MS. High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy. Anal Chem 2021; 93:15850-15860. [PMID: 34797972 PMCID: PMC9286315 DOI: 10.1021/acs.analchem.1c02178] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
![]()
Raman spectroscopy
enables nondestructive, label-free imaging with
unprecedented molecular contrast, but is limited by slow data acquisition,
largely preventing high-throughput imaging applications. Here, we
present a comprehensive framework for higher-throughput molecular
imaging via deep-learning-enabled Raman spectroscopy, termed DeepeR,
trained on a large data set of hyperspectral Raman images, with over
1.5 million spectra (400 h of acquisition) in total. We first perform
denoising and reconstruction of low signal-to-noise ratio Raman molecular
signatures via deep learning, with a 10× improvement in the mean-squared
error over common Raman filtering methods. Next, we develop a neural
network for robust 2–4× spatial super-resolution of hyperspectral
Raman images that preserve molecular cellular information. Combining
these approaches, we achieve Raman imaging speed-ups of up to 40–90×,
enabling good-quality cellular imaging with a high-resolution, high
signal-to-noise ratio in under 1 min. We further demonstrate Raman
imaging speed-up of 160×, useful for lower resolution imaging
applications such as the rapid screening of large areas or for spectral
pathology. Finally, transfer learning is applied to extend DeepeR
from cell to tissue-scale imaging. DeepeR provides a foundation that
will enable a host of higher-throughput Raman spectroscopy and molecular
imaging applications across biomedicine.
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Affiliation(s)
- Conor C Horgan
- Centre for Craniofacial and Regenerative Biology, King's College London, London SE1 9RT, U.K.,Department of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Magnus Jensen
- Centre for Craniofacial and Regenerative Biology, King's College London, London SE1 9RT, U.K
| | - Anika Nagelkerke
- Groningen Research Institute of Pharmacy, Pharmaceutical Analysis, University of Groningen, P.O. Box 196, XB20, Groningen 9700 AD, The Netherlands.,Department of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Jean-Philippe St-Pierre
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada.,Department of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, U.K
| | - Molly M Stevens
- Department of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Mads S Bergholt
- Centre for Craniofacial and Regenerative Biology, King's College London, London SE1 9RT, U.K
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41
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El-Mashtoly SF, Gerwert K. Diagnostics and Therapy Assessment Using Label-Free Raman Imaging. Anal Chem 2021; 94:120-142. [PMID: 34852454 DOI: 10.1021/acs.analchem.1c04483] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Samir F El-Mashtoly
- Center for Protein Diagnostics, Ruhr University Bochum, 44801 Bochum, Germany.,Department of Biophysics, Faculty of Biology and Biotechnology, Ruhr University Bochum, 44801 Bochum, Germany
| | - Klaus Gerwert
- Center for Protein Diagnostics, Ruhr University Bochum, 44801 Bochum, Germany.,Department of Biophysics, Faculty of Biology and Biotechnology, Ruhr University Bochum, 44801 Bochum, Germany
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42
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Bassler MC, Stefanakis M, Sequeira I, Ostertag E, Wagner A, Bartsch JW, Roeßler M, Mandic R, Reddmann EF, Lorenz A, Rebner K, Brecht M. Comparison of Whiskbroom and Pushbroom darkfield elastic light scattering spectroscopic imaging for head and neck cancer identification in a mouse model. Anal Bioanal Chem 2021; 413:7363-7383. [PMID: 34799750 PMCID: PMC8626402 DOI: 10.1007/s00216-021-03726-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/30/2021] [Accepted: 10/08/2021] [Indexed: 12/20/2022]
Abstract
The early detection of head and neck cancer is a prolonged challenging task. It requires a precise and accurate identification of tissue alterations as well as a distinct discrimination of cancerous from healthy tissue areas. A novel approach for this purpose uses microspectroscopic techniques with special focus on hyperspectral imaging (HSI) methods. Our proof-of-principle study presents the implementation and application of darkfield elastic light scattering spectroscopy (DF ELSS) as a non-destructive, high-resolution, and fast imaging modality to distinguish lingual healthy from altered tissue regions in a mouse model. The main aspect of our study deals with the comparison of two varying HSI detection principles, which are a point-by-point and line scanning imaging, and whether one might be more appropriate in differentiating several tissue types. Statistical models are formed by deploying a principal component analysis (PCA) with the Bayesian discriminant analysis (DA) on the elastic light scattering (ELS) spectra. Overall accuracy, sensitivity, and precision values of 98% are achieved for both models whereas the overall specificity results in 99%. An additional classification of model-unknown ELS spectra is performed. The predictions are verified with histopathological evaluations of identical HE-stained tissue areas to prove the model’s capability of tissue distinction. In the context of our proof-of-principle study, we assess the Pushbroom PCA-DA model to be more suitable for tissue type differentiations and thus tissue classification. In addition to the HE-examination in head and neck cancer diagnosis, the usage of HSI-based statistical models might be conceivable in a daily clinical routine.
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Affiliation(s)
- Miriam C Bassler
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
- Institute of Physical and Theoretical Chemistry, University of Tübingen, Auf der Morgenstelle 18, 72076, Tübingen, Germany
| | - Mona Stefanakis
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
- Institute of Physical and Theoretical Chemistry, University of Tübingen, Auf der Morgenstelle 18, 72076, Tübingen, Germany
| | - Inês Sequeira
- Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Edwin Ostertag
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
| | - Alexandra Wagner
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
- Institute of Physical and Theoretical Chemistry, University of Tübingen, Auf der Morgenstelle 18, 72076, Tübingen, Germany
| | - Jörg W Bartsch
- Department of Neurosurgery, Philipps University Marburg, Baldingerstraße, 35033, Marburg, Germany
| | - Marion Roeßler
- Department of Pathology, Philipps University Marburg, Baldingerstraße, 35033, Marburg, Germany
| | - Robert Mandic
- Department of Otorhinolaryngology, Philipps University Marburg, Baldingerstraße, 35033, Marburg, Germany
| | - Eike F Reddmann
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
| | - Anita Lorenz
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
| | - Karsten Rebner
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany
| | - Marc Brecht
- Process Analysis and Technology (PA&T), Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany.
- Institute of Physical and Theoretical Chemistry, University of Tübingen, Auf der Morgenstelle 18, 72076, Tübingen, Germany.
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43
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Mandal A, Ziegler LD. Vibrational line shape effects in plasmon-enhanced stimulated Raman spectroscopies. J Chem Phys 2021; 155:194701. [PMID: 34800946 DOI: 10.1063/5.0067301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
A density matrix treatment of plasmon-enhanced (PE) stimulated Raman spectroscopies is developed. Specifically, PE stimulated Raman Gain/Loss (PE-SRG/L) and coherent anti-Stokes Raman scattering (PE-CARS) due to monochromatic excitation and PE femtosecond stimulated Raman spectroscopy (PE-FSRS) are considered. A Lorentz oscillator model is used to explicitly describe the time dependence of plasmon-enhanced optical fields. These temporal characteristics are required for a density matrix based description of all plasmon-enhanced nonlinear molecular spectroscopies. Dispersive vibrational line shapes in PE-SRG/L and PE-FSRS spectra are shown to result primarily from terms proportional to the square of the complex optical field enhancement factor. The dependence on the plasmon resonance, picosecond and femtosecond pulse characteristics, and molecular vibrational properties are evident in the density matrix derived PE-FSRS intensity expression. The difference in signal detection mechanisms accounts for the lack of dispersive line shapes in PE spontaneous Raman spectroscopy. This density matrix treatment of PE-FSRS line shapes is compared with prior coupled wave results.
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Affiliation(s)
- Aritra Mandal
- Intel Corporation, 2501 NW 229th Ave., Hillsboro, Oregon 97124, USA
| | - L D Ziegler
- Department of Chemistry, Photonics Center Boston University, Boston, Massachusetts 02215, USA
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44
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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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45
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Mesoporous One-Component Gold Microshells as 3D SERS Substrates. BIOSENSORS-BASEL 2021; 11:bios11100380. [PMID: 34677336 PMCID: PMC8533941 DOI: 10.3390/bios11100380] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/30/2021] [Accepted: 10/03/2021] [Indexed: 12/14/2022]
Abstract
Surface-enhanced Raman scattering (SERS) is a powerful analytical tool for label-free analysis that has found a broad spectrum of applications in material, chemical, and biomedical sciences. In recent years, a great interest has been witnessed in the rational design of SERS substrates to amplify Raman signals and optionally allow for the selective detection of analytes, which is especially essential and challenging for biomedical applications. In this study, hard templating of noble metals is proposed as a novel approach for the design of one-component tailor-made SERS platforms. Porous Au microparticles were fabricated via dual ex situ adsorption of Au nanoparticles and in situ reduction of HAuCl4 on mesoporous sacrificial microcrystals of vaterite CaCO3. Elimination of the microcrystals at mild conditions resulted in the formation of stable mesoporous one-component Au microshells. SERS performance of the microshells at very low 0.4 µW laser power was probed using rhodamine B and bovine serum albumin showing enhancement factors of 2 × 108 and 8 × 108, respectively. The proposed strategy opens broad avenues for the design and scalable fabrication of one-component porous metal particles that can serve as superior SERS platforms possessing both excellent plasmonic properties and the possibility of selective inclusion of analyte molecules and/or SERS nanotags for highly specific SERS analysis.
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Bakthavatsalam S, Dodo K, Sodeoka M. A decade of alkyne-tag Raman imaging (ATRI): applications in biological systems. RSC Chem Biol 2021; 2:1415-1429. [PMID: 34704046 PMCID: PMC8496067 DOI: 10.1039/d1cb00116g] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/07/2021] [Indexed: 12/14/2022] Open
Abstract
Alkyne functional groups have Raman signatures in a region (1800 cm-1 to 2800 cm-1) that is free from interference from cell components, known as the "silent region", and alkyne signals in this region were first utilized a decade ago to visualize the nuclear localization of a thymidine analogue EdU. Since then, the strategy of Raman imaging of biological samples by using alkyne functional groups, called alkyne-tag Raman imaging (ATRI), has become widely used. This article reviews the applications of ATRI in biological samples ranging from organelles to whole animal models, and briefly discusses the prospects for this technique.
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Affiliation(s)
- Subha Bakthavatsalam
- Synthetic Organic Chemistry Laboratory, RIKEN Cluster for Pioneering Research Wako Saitama 351-0198 Japan
| | - Kosuke Dodo
- Synthetic Organic Chemistry Laboratory, RIKEN Cluster for Pioneering Research Wako Saitama 351-0198 Japan
- RIKEN Center for Sustainable Resource Science 2-1 Hirosawa Wako Saitama 351-0198 Japan
| | - Mikiko Sodeoka
- Synthetic Organic Chemistry Laboratory, RIKEN Cluster for Pioneering Research Wako Saitama 351-0198 Japan
- RIKEN Center for Sustainable Resource Science 2-1 Hirosawa Wako Saitama 351-0198 Japan
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Pshenay-Severin E, Bae H, Reichwald K, Matz G, Bierlich J, Kobelke J, Lorenz A, Schwuchow A, Meyer-Zedler T, Schmitt M, Messerschmidt B, Popp J. Multimodal nonlinear endomicroscopic imaging probe using a double-core double-clad fiber and focus-combining micro-optical concept. LIGHT, SCIENCE & APPLICATIONS 2021; 10:207. [PMID: 34611136 PMCID: PMC8492681 DOI: 10.1038/s41377-021-00648-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 09/06/2021] [Accepted: 09/15/2021] [Indexed: 05/05/2023]
Abstract
Multimodal non-linear microscopy combining coherent anti-Stokes Raman scattering, second harmonic generation, and two-photon excited fluorescence has proved to be a versatile and powerful tool enabling the label-free investigation of tissue structure, molecular composition, and correlation with function and disease status. For a routine medical application, the implementation of this approach into an in vivo imaging endoscope is required. However, this is a difficult task due to the requirements of a multicolour ultrashort laser delivery from a compact and robust laser source through a fiber with low losses and temporal synchronization, the efficient signal collection in epi-direction, the need for small-diameter but highly corrected endomicroobjectives of high numerical aperture and compact scanners. Here, we introduce an ultra-compact fiber-scanning endoscope platform for multimodal non-linear endomicroscopy in combination with a compact four-wave mixing based fiber laser. The heart of this fiber-scanning endoscope is an in-house custom-designed, single mode, double clad, double core pure silica fiber in combination with a 2.4 mm diameter NIR-dual-waveband corrected endomicroscopic objective of 0.55 numerical aperture and 180 µm field of view for non-linear imaging, allowing a background free, low-loss, high peak power laser delivery, and an efficient signal collection in backward direction. A linear diffractive optical grating overlays pump and Stokes laser foci across the full field of view, such that diffraction-limited performance is demonstrated for tissue imaging at one frame per second with sub-micron spatial resolution and at a high transmission of 65% from the laser to the specimen using a distal resonant fiber scanner.
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Affiliation(s)
| | - Hyeonsoo Bae
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
| | | | - Gregor Matz
- GRINTECH GmbH, Schillerstr. 1, 07745, Jena, Germany
| | - Jörg Bierlich
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
| | - Jens Kobelke
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
| | - Adrian Lorenz
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
| | - Anka Schwuchow
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | - Michael Schmitt
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
| | | | - Juergen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 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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Dose B, Thongkongkaew T, Zopf D, Kim HJ, Bratovanov EV, García‐Altares M, Scherlach K, Kumpfmüller J, Ross C, Hermenau R, Niehs S, Silge A, Hniopek J, Schmitt M, Popp J, Hertweck C. Multimodal Molecular Imaging and Identification of Bacterial Toxins Causing Mushroom Soft Rot and Cavity Disease. Chembiochem 2021; 22:2901-2907. [PMID: 34232540 PMCID: PMC8518961 DOI: 10.1002/cbic.202100330] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Indexed: 12/29/2022]
Abstract
Soft rot disease of edible mushrooms leads to rapid degeneration of fungal tissue and thus severely affects farming productivity worldwide. The bacterial mushroom pathogen Burkholderia gladioli pv. agaricicola has been identified as the cause. Yet, little is known about the molecular basis of the infection, the spatial distribution and the biological role of antifungal agents and toxins involved in this infectious disease. We combine genome mining, metabolic profiling, MALDI-Imaging and UV Raman spectroscopy, to detect, identify and visualize a complex of chemical mediators and toxins produced by the pathogen during the infection process, including toxoflavin, caryoynencin, and sinapigladioside. Furthermore, targeted gene knockouts and in vitro assays link antifungal agents to prevalent symptoms of soft rot, mushroom browning, and impaired mycelium growth. Comparisons of related pathogenic, mutualistic and environmental Burkholderia spp. indicate that the arsenal of antifungal agents may have paved the way for ancestral bacteria to colonize niches where frequent, antagonistic interactions with fungi occur. Our findings not only demonstrate the power of label-free, in vivo detection of polyyne virulence factors by Raman imaging, but may also inspire new approaches to disease control.
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Affiliation(s)
- Benjamin Dose
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Tawatchai Thongkongkaew
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - David Zopf
- Institute of Physical Chemistry (IPC) and Abbe Center of PhotonicsHelmholtzweg 407743JenaGermany
- Leibniz Institute of Photonic Technology (IPHT) JenaMember of the Leibniz Research Alliance – Leibniz Health TechnologiesAlbert-Einstein-Straße 907745JenaGermany
| | - Hak Joong Kim
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Evgeni V. Bratovanov
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - María García‐Altares
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Kirstin Scherlach
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Jana Kumpfmüller
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Claudia Ross
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Ron Hermenau
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Sarah Niehs
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
| | - Anja Silge
- Institute of Physical Chemistry (IPC) and Abbe Center of PhotonicsHelmholtzweg 407743JenaGermany
| | - Julian Hniopek
- Institute of Physical Chemistry (IPC) and Abbe Center of PhotonicsHelmholtzweg 407743JenaGermany
- Leibniz Institute of Photonic Technology (IPHT) JenaMember of the Leibniz Research Alliance – Leibniz Health TechnologiesAlbert-Einstein-Straße 907745JenaGermany
| | - Michael Schmitt
- Institute of Physical Chemistry (IPC) and Abbe Center of PhotonicsHelmholtzweg 407743JenaGermany
| | - Jürgen Popp
- Institute of Physical Chemistry (IPC) and Abbe Center of PhotonicsHelmholtzweg 407743JenaGermany
- Leibniz Institute of Photonic Technology (IPHT) JenaMember of the Leibniz Research Alliance – Leibniz Health TechnologiesAlbert-Einstein-Straße 907745JenaGermany
| | - Christian Hertweck
- Leibniz Institute for Natural Product Research and Infection BiologyHKIBeutenbergstr. 11a07745JenaGermany
- Faculty of Biological SciencesFriedrich Schiller University Jena07743JenaGermany
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Yang Q, Kajimoto S, Kobayashi Y, Hiramatsu H, Nakabayashi T. Regulation of Cell Volume by Nanosecond Pulsed Electric Fields. J Phys Chem B 2021; 125:10692-10700. [PMID: 34519209 DOI: 10.1021/acs.jpcb.1c06058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Stimulation of cells by nanosecond pulsed electric fields (nsPEFs) has attracted attention as a technology for medical applications such as cancer treatment. nsPEFs have been shown to affect intracellular environments without significant damage to cell membranes; however, the mechanism underlying the effect of nsPEFs on cells remains unclear. In this study, we constructed electrodes for applying nsPEFs and analyzed the change in volume of a single cell due to nsPEFs using fluorescence and Raman microscopy. It was shown that the direction of the change depended on the applied electric field; expansion due to the influx of water was observed at high electric field, and cell shrinkage was observed at low electric field. The change in cell volume was correlated to the change in the intracellular Ca2+ concentration, and nsPEFs-induced shrinking was not observed when the Ca2+-free medium was used. This result suggests that the cell shrinkage is related to the regulatory volume decrease where the cell adjusts the increase in intracellular Ca2+ concentration, inducing the efflux of ions and water from the cell.
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Affiliation(s)
- Qi Yang
- Graduate School of Pharmaceutical Sciences, Tohoku University, Aoba-ku, Sendai 980-8578, Japan
| | - Shinji Kajimoto
- Graduate School of Pharmaceutical Sciences, Tohoku University, Aoba-ku, Sendai 980-8578, Japan.,JST PRESTO, Kawaguchi, Saitama 332-0012, Japan
| | - Yuki Kobayashi
- Graduate School of Pharmaceutical Sciences, Tohoku University, Aoba-ku, Sendai 980-8578, Japan
| | - Hirotsugu Hiramatsu
- Department of Applied Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 30010, Taiwan.,Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Takakazu Nakabayashi
- Graduate School of Pharmaceutical Sciences, Tohoku University, Aoba-ku, Sendai 980-8578, Japan
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50
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Zhu J, Liu X, Deng Y, Li D, Yu T, Zhu D. Tissue optical clearing for 3D visualization of vascular networks: A review. Vascul Pharmacol 2021; 141:106905. [PMID: 34506969 DOI: 10.1016/j.vph.2021.106905] [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: 06/25/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 12/01/2022]
Abstract
Reconstruction of the vasculature of intact tissues/organs down to the capillary level is essential for understanding the development and remodeling of vascular networks under physiological and pathological conditions. Optical imaging techniques can provide sufficient resolution to distinguish small vessels with several microns, but the imaging depth is somewhat limited due to the high light scattering of opaque tissue. Recently, various tissue optical clearing methods have been developed to overcome light attenuation and improve the imaging depth both for ex-vivo and in-vivo visualizations. Tissue clearing combined with vessel labeling techniques and advanced optical tomography enables successful mapping of the vasculature of different tissues/organs, as well as dynamically monitoring vessel function under normal and pathological conditions. Here, we briefly introduce the commonly-used labeling strategies for entire vascular networks, the current tissue optical clearing techniques available for various tissues, as well as the advanced optical imaging techniques for fast, high-resolution structural and functional imaging for blood vessels. We also discuss the applications of these techniques in the 3D visualization of vascular networks in normal tissues, and the vascular remodeling in several typical pathological models in clinical research. This review is expected to provide valuable insights for researchers to study the potential mechanisms of various vessel-associated diseases using tissue optical clearing pipeline.
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Affiliation(s)
- Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Xiaomei Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yating Deng
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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