1
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Nelmark CE, Serrano AL. A Simple Doublet Lens Design for Mid-Infrared Imaging. APPLIED SPECTROSCOPY 2024; 78:779-789. [PMID: 38693755 DOI: 10.1177/00037028241250030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Wide-field mid-infrared (MIR) hyperspectral imaging offers a promising approach for studying heterogeneous chemical systems due to its ability to independently characterize the molecular properties of different regions of a sample. However, applications of wide-field MIR microscopy are limited to spatial resolutions no better than ∼1 μm. While methods exist to overcome the classical diffraction limit of ∼λ/2, chromatic aberration from transmissive imaging reduces the achievable resolution. Here we describe the design and implementation of a simple MIR achromatic lens combination that we believe will aid in the development of resolution-enhanced wide-field MIR hyperspectral optical and chemical absorption imaging. We also examine the use of this doublet lens to image through polystyrene microspheres, an emerging and simple means for enhancing spatial resolution.
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Affiliation(s)
- Claire E Nelmark
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA
| | - Arnaldo L Serrano
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA
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2
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Zelger P, Brunner A, Zelger B, Willenbacher E, Unterberger SH, Stalder R, Huck CW, Willenbacher W, Pallua JD. Deep learning analysis of mid-infrared microscopic imaging data for the diagnosis and classification of human lymphomas. JOURNAL OF BIOPHOTONICS 2023; 16:e202300015. [PMID: 37578837 DOI: 10.1002/jbio.202300015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/19/2023] [Accepted: 08/09/2023] [Indexed: 08/15/2023]
Abstract
The present study presents an alternative analytical workflow that combines mid-infrared (MIR) microscopic imaging and deep learning to diagnose human lymphoma and differentiate between small and large cell lymphoma. We could show that using a deep learning approach to analyze MIR hyperspectral data obtained from benign and malignant lymph node pathology results in high accuracy for correct classification, learning the distinct region of 3900 to 850 cm-1 . The accuracy is above 95% for every pair of malignant lymphoid tissue and still above 90% for the distinction between benign and malignant lymphoid tissue for binary classification. These results demonstrate that a preliminary diagnosis and subtyping of human lymphoma could be streamlined by applying a deep learning approach to analyze MIR spectroscopic data.
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Affiliation(s)
- P Zelger
- University Hospital of Hearing, Voice and Speech Disorders, Medical University of Innsbruck, Innsbruck, Austria
| | - A Brunner
- Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Innsbruck, Austria
| | - B Zelger
- Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Innsbruck, Austria
| | - E Willenbacher
- University Hospital of Internal Medicine V, Hematology & Oncology, Medical University of Innsbruck, Innsbruck, Austria
| | - S H Unterberger
- Institute of Material-Technology, Leopold-Franzens University Innsbruck, Innsbruck, Austria
| | - R Stalder
- Institute of Mineralogy and Petrography, Leopold-Franzens University Innsbruck, Innsbruck, Austria
| | - C W Huck
- Institute of Analytical Chemistry and Radiochemistry, Innsbruck, Austria
| | - W Willenbacher
- University Hospital of Internal Medicine V, Hematology & Oncology, Medical University of Innsbruck, Innsbruck, Austria
- Oncotyrol, Centre for Personalized Cancer Medicine, Innsbruck, Austria
| | - J D Pallua
- University Hospital for Orthopedics and Traumatology, Medical University of Innsbruck, Innsbruck, Austria
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3
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Augustyniak K, Chrabaszcz K, Smeda M, Stojak M, Marzec KM, Malek K. High-Resolution Fourier Transform Infrared (FT-IR) Spectroscopic Imaging for Detection of Lung Structures and Cancer-Related Abnormalities in a Murine Model. APPLIED SPECTROSCOPY 2022; 76:439-450. [PMID: 34076540 DOI: 10.1177/00037028211025540] [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] [Indexed: 06/12/2023]
Abstract
Label-free molecular imaging is a promising utility to study tissues in terms of the identification of their compartments as well as chemical features and alterations induced by disease. The aim of this work was to assess if higher magnification of optics in the Fourier transform infrared (FT-IR) microscope coupled with the focal plane detector resulted in better resolution of lung structures and if the histopathological features correlated with clustering of spectral images. FT-IR spectroscopic imaging was performed on paraffinized lung tissue sections from mice with optics providing a total magnification of 61× and 36×. Then, IR images were subjected to unsupervised cluster analysis and, subsequently, cluster maps were compared with hematoxylin and eosin staining of the same tissue section. Based on these results, we observed minute features such as cellular compartments in single alveoli and bronchiole, blood cells and megakaryocytes in a vessel as well as atelectasis of the lung. In the case of the latter, differences in composition were also noted between the tissue from the non-cancerous and cancerous specimen. This study demonstrated the ability of high-definition FT-IR imaging to evaluate the chemical features of well-resolved lung structures that could complement the histological examination widely used in animal models of disease.
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Affiliation(s)
| | | | - Marta Smeda
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Krakow, Poland
| | - Marta Stojak
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Krakow, Poland
| | - Katarzyna M Marzec
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Krakow, Poland
| | - Kamilla Malek
- Faculty of Chemistry, Jagiellonian University, Krakow, Poland
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4
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Ritschar S, Schirmer E, Hufnagl B, Löder MGJ, Römpp A, Laforsch C. Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning. Histochem Cell Biol 2022; 157:127-137. [PMID: 34750664 PMCID: PMC8847259 DOI: 10.1007/s00418-021-02037-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2021] [Indexed: 12/22/2022]
Abstract
Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the effects at the molecular level in organisms is of increasing interest due to the environmental exposure to numerous contaminants. The analysis of tissues can be performed by histological examination, which is still time-consuming and restricted to target-specific staining methods. The histological approaches can be complemented with chemical imaging analysis. Chemical imaging of tissue sections is typically performed using a single imaging approach. However, for toxicological testing of environmental pollutants, a multimodal approach combined with improved data acquisition and evaluation is desirable, since it may allow for more rapid tissue characterization and give further information on ecotoxicological effects at the tissue level. Therefore, using the soil model organism Eisenia fetida as a model, we developed a sequential workflow combining Fourier transform infrared spectroscopy (FTIR) and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) for chemical analysis of the same tissue sections. Data analysis of the FTIR spectra via random decision forest (RDF) classification enabled the rapid identification of target tissues (e.g., digestive tissue), which are relevant from an ecotoxicological point of view. MALDI imaging analysis provided specific lipid species which are sensitive to metabolic changes and environmental stressors. Taken together, our approach provides a fast and reproducible workflow for label-free histochemical tissue analyses in E. fetida, which can be applied to other model organisms as well.
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Affiliation(s)
- Sven Ritschar
- Department of Animal Ecology i and BayCEER, University of Bayreuth, Bayreuth, Germany
| | - Elisabeth Schirmer
- Department of Bioanalytical Sciences and Food Analysis, University of Bayreuth, Bayreuth, Germany
| | - Benedikt Hufnagl
- Institute of Chemical Technologies and Analytics, Vienna, TU, Austria
- Purency GmbH, Walfischgasse 8/34, T1010, Vienna, Austria
| | - Martin G J Löder
- Department of Animal Ecology i and BayCEER, University of Bayreuth, Bayreuth, Germany
| | - Andreas Römpp
- Department of Bioanalytical Sciences and Food Analysis, University of Bayreuth, Bayreuth, Germany.
| | - Christian Laforsch
- Department of Animal Ecology i and BayCEER, University of Bayreuth, Bayreuth, Germany.
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5
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Kazarian SG. Perspectives on infrared spectroscopic imaging from cancer diagnostics to process analysis. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 251:119413. [PMID: 33461133 DOI: 10.1016/j.saa.2020.119413] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 12/28/2020] [Accepted: 12/30/2020] [Indexed: 05/20/2023]
Abstract
This perspective paper discusses the recent and potential developments in the application of infrared spectroscopic imaging, with a focus on Fourier transform infrared (FTIR) spectroscopic imaging. The current state-of-the-art has been briefly reported, that includes recent trends and advances in applications of FTIR spectroscopic imaging to biomedical systems. Here, some new opportunities for research in the biomedical field, particularly for cancer diagnostics, and also in the engineering field of process analysis; as well as challenges in FTIR spectroscopic imaging are discussed. Current and future prospects that will bring spectroscopic imaging technologies to the frontier of advanced medical diagnostics and to process analytics in engineering applications will be outlined in this opinion paper.
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Affiliation(s)
- Sergei G Kazarian
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
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6
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Spadea A, Denbigh J, Lawrence MJ, Kansiz M, Gardner P. Analysis of Fixed and Live Single Cells Using Optical Photothermal Infrared with Concomitant Raman Spectroscopy. Anal Chem 2021; 93:3938-3950. [PMID: 33595297 PMCID: PMC8018697 DOI: 10.1021/acs.analchem.0c04846] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/26/2021] [Indexed: 12/24/2022]
Abstract
This paper reports the first use of a novel completely optically based photothermal method (O-PTIR) for obtaining infrared spectra of both fixed and living cells using a quantum cascade laser (QCL) and optical parametric oscillator (OPO) laser as excitation sources, thus enabling all biologically relevant vibrations to be analyzed at submicron spatial resolution. In addition, infrared data acquisition is combined with concomitant Raman spectra from exactly the same excitation location, meaning the full vibrational profile of the cell can be obtained. The pancreatic cancer cell line MIA PaCa-2 and the breast cancer cell line MDA-MB-231 are used as model cells to demonstrate the capabilities of the new instrumentation. These combined modalities can be used to analyze subcellular structures in both fixed and, more importantly, live cells under aqueous conditions. We show that the protein secondary structure and lipid-rich bodies can be identified on the submicron scale.
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Affiliation(s)
- Alice Spadea
- NorthWest
Centre for Advanced Drug Delivery (NoWCADD), School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
- Division
of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre Oxford
Road, Manchester M13 9PL, U.K.
| | - Joanna Denbigh
- Seda
Pharmaceutical Development Services, Alderley Park, Alderley
Edge, Cheshire SK10 4TG, U.K.
- School
of Science, Engineering and Environment, University of Salford, Salford, M5 4WT, U.K.
| | - M. Jayne Lawrence
- NorthWest
Centre for Advanced Drug Delivery (NoWCADD), School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
- Division
of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre Oxford
Road, Manchester M13 9PL, U.K.
| | - Mustafa Kansiz
- Photothermal
Spectroscopy Corp. 325
Chapala Street, Santa Barbara, California 93101, United States
| | - Peter Gardner
- Manchester
Institute of Biotechnology, University of
Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
- Department
of Chemical Engineering and Analytical Science, School of Engineering, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
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7
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Guo Y, Chen T, Wang S, Zhou X, Zhang H, Li D, Mu N, Tang M, Hu M, Tang D, Yang Z, Zhong J, Tang Y, Feng H, Zhang X, Wang H. Synchrotron Radiation-Based FTIR Microspectroscopic Imaging of Traumatically Injured Mouse Brain Tissue Slices. ACS OMEGA 2020; 5:29698-29705. [PMID: 33251405 PMCID: PMC7689661 DOI: 10.1021/acsomega.0c03285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 09/29/2020] [Indexed: 05/07/2023]
Abstract
Traumatic brain injury (TBI) is a health problem of global concern because of its serious adverse effects on public health and social economy. A technique that can be used to precisely detect TBI is highly demanded. Here, we report on a synchrotron radiation-based Fourier transform infrared (SR-FTIR) microspectroscopic imaging technique that can be exploited to identify TBI-induced injury by examining model mouse brain tissue slices. The samples were first examined by conventional histopathological techniques including hematoxylin and eosin (H&E) staining and 2,3,5-triphenyltetrazolium chloride staining and then spectroscopically imaged by SR-FTIR. SR-FTIR results show that the contents of protein and nucleic acid in the injured region are lower than their counterparts in the normal region. The injured and normal regions can be unambiguously distinguished from each other by the principle component analysis of the SR-FTIR spectral data corresponding to protein or nucleic acid. The images built from the spectral data of protein or nucleic acid clearly present the injured region of the brain tissue, which is in good agreement with the H&E staining image and optical image of the sample. Given the label-free and fingerprint features, the demonstrated method suggests potential application of SR-FTIR spectroscopic mapping for the digital and intelligent diagnosis of TBI by providing spatial and chemical information of the sample simultaneously.
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Affiliation(s)
- Yuansen Guo
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Tunan Chen
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest
Hospital, Third Military Medical University
(Army Medical University), Chongqing 400038, China
| | - Shi Wang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest
Hospital, Third Military Medical University
(Army Medical University), Chongqing 400038, China
| | - Xiaojie Zhou
- National
Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai
Advanced Research Institute, Chinese Academy
of Sciences, Shanghai 201210, China
| | - Hua Zhang
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Dandan Li
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
| | - Ning Mu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest
Hospital, Third Military Medical University
(Army Medical University), Chongqing 400038, China
| | - Mingjie Tang
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Meidie Hu
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
| | - Dongyun Tang
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Zhongbo Yang
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
| | - Jiajia Zhong
- National
Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai
Advanced Research Institute, Chinese Academy
of Sciences, Shanghai 201210, China
| | - Yuzhao Tang
- National
Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai
Advanced Research Institute, Chinese Academy
of Sciences, Shanghai 201210, China
| | - Hua Feng
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest
Hospital, Third Military Medical University
(Army Medical University), Chongqing 400038, China
| | - Xuehua Zhang
- Department of Chemical & Materials Engineering, University of Alberta, Alberta T6G1H9, Canada
| | - Huabin Wang
- Center of Applied
Physics & Chongqing Engineering Research Center of High-Resolution
and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute
of Green and Intelligent Technology, Chinese
Academy of Sciences, Chongqing 400714, China
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8
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Zhang D, Bian Q, Zhou Y, Huang Q, Gao J. The application of label-free imaging technologies in transdermal research for deeper mechanism revealing. Asian J Pharm Sci 2020; 16:265-279. [PMID: 34276818 PMCID: PMC8261078 DOI: 10.1016/j.ajps.2020.07.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 05/23/2020] [Accepted: 07/06/2020] [Indexed: 12/13/2022] Open
Abstract
The penetration behavior of topical substances in the skin not only relates to the transdermal delivery efficiency but also involves the safety and therapeutic effect of topical products, such as sunscreen and hair growth products. Researchers have tried to illustrate the transdermal process with diversified theories and technologies. Directly observing the distribution of topical substances on skin by characteristic imaging is the most convincing approach. Unfortunately, fluorescence labeling imaging, which is commonly used in biochemical research, is limited for transdermal research for most topical substances with a molecular mass less than 500 Da. Label-free imaging technologies possess the advantages of not requiring any macromolecular dyes, no tissue destruction and an extensive substance detection capability, which has enabled rapid development of such technologies in recent years and their introduction to biological tissue analysis, such as skin samples. Through the specific identification of topical substances and endogenous tissue components, label-free imaging technologies can provide abundant tissue distribution information, enrich theoretical and practical guidance for transdermal drug delivery systems. In this review, we expound the mechanisms and applications of the most popular label-free imaging technologies in transdermal research at present, compare their advantages and disadvantages, and forecast development prospects.
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Affiliation(s)
- Danping Zhang
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qiong Bian
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yi Zhou
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qiaoling Huang
- The Third People's Hospital of Hangzhou, Hangzhou 310012, China
| | - Jianqing Gao
- Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
- Jiangsu Engineering Research Center for New-Type External and Transdermal Preparations, Changzhou 213000, China
- Corresponding author.
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9
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Chan KLA, Altharawi A, Fale P, Song CL, Kazarian SG, Cinque G, Untereiner V, Sockalingum GD. Transmission Fourier Transform Infrared Spectroscopic Imaging, Mapping, and Synchrotron Scanning Microscopy with Zinc Sulfide Hemispheres on Living Mammalian Cells at Sub-Cellular Resolution. APPLIED SPECTROSCOPY 2020; 74:544-552. [PMID: 32031010 DOI: 10.1177/0003702819898275] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Fourier transform infrared (FT-IR) spectroscopic imaging and microscopy of single living cells are established label-free technique for the study of cell biology. The constant driver to improve the spatial resolution of the technique is due to the diffraction limit given by infrared (IR) wavelength making subcellular study challenging. Recently, we have reported, with the use of a prototype zinc sulfide (ZnS) transmission cell made of two hemispheres, that the spatial resolution is improved by the factor of the refractive index of ZnS, achieving a λ/2.7 spatial resolution using the synchrotron-IR microscopy with a 36× objective with numerical aperture of 0.5. To refine and to demonstrate that the ZnS hemisphere transmission device can be translated to standard bench-top FT-IR imaging systems, we have, in this work, modified the device to achieve a more precise path length, which has improved the spectral quality of the living cells, and showed for the first time that the device can be applied to study live cells with three different bench-top FT-IR imaging systems. We applied focal plane array (FPA) imaging, linear array, and a synchrotron radiation single-point scanning method and demonstrated that in all cases, subcellular details of individual living cells can be obtained. Results have shown that imaging with the FPA detector can measure the largest area in a given time, while measurements from the scanning methods produced a smoother image. Synchrotron radiation single-point mapping produced the best quality image and has the flexibility to introduce over sampling to produce images of cells with great details, but it is time consuming in scanning mode. In summary, this work has demonstrated that the ZnS hemispheres can be applied in all three spectroscopic approaches to improve the spatial resolution without any modification to the existing microscopes.
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Affiliation(s)
- Ka Lung Andrew Chan
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King's College London, UK
| | - Ali Altharawi
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King's College London, UK
| | - Pedro Fale
- Faculty of Sciences, BioISI-Biosystems & Integrative Sciences Institute, University of Lisboa, Lisbon, Portugal
| | - Cai Li Song
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Sergei G Kazarian
- Department of Chemical Engineering, Imperial College London, London, UK
| | | | - Valérie Untereiner
- Plateforme en Imagerie Cellulaire et Tissulaire (PICT), University of Reims Champagne-Ardenne, Reims, France
- University of Reims Champagne-Ardenne, Pharmacy, Reims, France
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10
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Beć KB, Grabska J, Huck CW. Biomolecular and bioanalytical applications of infrared spectroscopy - A review. Anal Chim Acta 2020; 1133:150-177. [PMID: 32993867 DOI: 10.1016/j.aca.2020.04.015] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/05/2020] [Accepted: 04/06/2020] [Indexed: 12/11/2022]
Abstract
Infrared (IR; or mid-infrared, MIR; 4000-400 cm-1; 2500-25,000 nm) spectroscopy has become one of the most powerful and versatile tools at the disposal of modern bioscience. Because of its high molecular specificity, applicability to wide variety of samples, rapid measurement and non-invasivity, IR spectroscopy forms a potent approach to elucidate qualitative and quantitative information from various kinds of biological material. For these reasons, it became an established bioanalytical technique with diverse applications. This work aims to be a comprehensive and critical review of the recent accomplishments in the field of biomolecular and bioanalytical IR spectroscopy. That progress is presented on a wider background, with fundamental characteristics, the basic principles of the technique outlined, and its scientific capability directly compared with other methods being used in similar fields (e.g. near-infrared, Raman, fluorescence). The article aims to present a complete examination of the topic, as it touches the background phenomena, instrumentation, spectra processing and data analytical methods, spectra interpretation and related information. To suit this goal, the article includes a tutorial information essential to obtain a thorough perspective of bio-related applications of the reviewed methodologies. The importance of the fundamental factors to the final performance and applicability of IR spectroscopy in various areas of bioscience is explained. This information is interpreted in critical way, with aim to gain deep understanding why IR spectroscopy finds extraordinarily intensive use in this remarkably diverse and dynamic field of research and utility. The major focus is placed on the diversity of the applications in which IR biospectroscopy has been established so far and those onto which it is expanding nowadays. This includes qualitative and quantitative analytical spectroscopy, spectral imaging, medical diagnosis, monitoring of biophysical processes, and studies of physicochemical properties and dynamics of biomolecules. The application potential of IR spectroscopy in light of the current accomplishments and the future prospects is critically evaluated and its significance in the progress of bioscience is comprehensively presented.
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Affiliation(s)
- Krzysztof B Beć
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria.
| | - Justyna Grabska
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria
| | - Christian W Huck
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria.
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11
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Song CL, Kazarian SG. Micro ATR-FTIR spectroscopic imaging of colon biopsies with a large area Ge crystal. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 228:117695. [PMID: 31753650 DOI: 10.1016/j.saa.2019.117695] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 10/08/2019] [Accepted: 10/23/2019] [Indexed: 06/10/2023]
Abstract
A new large-area germanium ATR crystal is utilised with an FTIR microscope to improve the acquired images of de-paraffinized colon biopsy sections, without recourse to a synchrotron source. The large crystal (⌀ = 28 mm) offers significant improvements compared to slide-on small germanium crystal (⌀ = 3.5 mm); for example, it facilitates more uniform distribution of higher signal intensity within the field of view and more rapid acquisition time. Mapping of a larger sample area up to ca. 350 × 350 μm2 with this new set-up, coupled with imaging using an FPA detector, is demonstrated for the first time on biological specimens. The performance of k-means clustering algorithm applied to classify the different anatomical structures of the colon biopsies is greatly improved with mapping. Comparison of H&E stained adjacent tissue sections with false-colour k-means images strongly support differentiation of five distinct regions within tissues. The efficiency of the methodology to categorise colon tissues at various stages of malignancy is analysed via multivariate chemometrics. The second derivative spectra extracted from the crypt region of the colon were subjected to Partial Least Squares classification. Good separation between data in clusters occurs when projecting spectra on a PLS score plot on a plane made by the first 3 principal components. Important spectral biomarkers for colon malignancy classification were identified to exist mostly in the fingerprint region of the FTIR spectrum based on the chemometrics analysis.
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Affiliation(s)
- Cai Li Song
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Sergei G Kazarian
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, United Kingdom.
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12
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Song CL, Vardaki MZ, Goldin RD, Kazarian SG. Fourier transform infrared spectroscopic imaging of colon tissues: evaluating the significance of amide I and C-H stretching bands in diagnostic applications with machine learning. Anal Bioanal Chem 2019; 411:6969-6981. [PMID: 31418050 PMCID: PMC6834539 DOI: 10.1007/s00216-019-02069-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/23/2019] [Accepted: 08/01/2019] [Indexed: 12/16/2022]
Abstract
Fourier transform infrared (FTIR) spectroscopic imaging of colon biopsy tissues in transmission combined with machine learning for the classification of different stages of colon malignancy was carried out in this study. Two different approaches, an optical and a computational one, were applied for the elimination of the scattering background during the measurements and compared with the results of the machine learning model without correction for the scattering. Several different data processing pathways were implemented in order to obtain a high accuracy of the prediction model. This study demonstrates, for the first time, that C-H stretching and amide I bands are of little to no significance in the classification of the colon malignancy, based on the Gini importance values by random forest (RF). The best prediction outcome is found when supervised RF classification was carried out in the fingerprint region of the spectral data between 1500 and 1000 cm-1 (excluding the contribution of amide I and II bands). An overall prediction accuracy higher than 90% is achieved through the RF. The results also show that dysplastic and hyperplastic tissues are well distinguished. This leads to the insight that the important differences between hyperplastic and dysplastic colon tissues lie within the fingerprint region of FTIR spectra. In this study, computational correction performed better than optical correction, but the findings show that the disease states of colon biopsies can be distinguished effectively without elimination of Mie scattering effect. Graphical abstract.
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Affiliation(s)
- Cai Li Song
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, UK
| | - Martha Z Vardaki
- Michael Smith Laboratories, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Robert D Goldin
- Department of Cellular Pathology, St. Mary's Campus, Imperial College London, W2 1NY, London, UK
| | - Sergei G Kazarian
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, UK.
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13
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Rasskazov IL, Singh R, Carney PS, Bhargava R. Extended Multiplicative Signal Correction for Infrared Microspectroscopy of Heterogeneous Samples with Cylindrical Domains. APPLIED SPECTROSCOPY 2019; 73:859-869. [PMID: 31149835 DOI: 10.1177/0003702819844528] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Optical scattering corrections are invoked to computationally distinguish between scattering and absorption contributions to recorded data in infrared (IR) microscopy, with a goal to obtain an absorption spectrum that is relatively free of the effects of sample morphology. Here, we present a modification of the extended multiplicative signal correction (EMSC) approach that allows for spectral recovery from fibers and cylindrical domains in heterogeneous samples. The developed theoretical approach is based on exact Mie theory for infinite cylinders. Although rigorous Mie theory implies utilization of comprehensive and time-consuming calculations, we propose to change the workflow of the original EMSC algorithm to minimize extensive calculations for each recorded spectrum at each iteration step. This makes the modified EMSC approach practical for routine use. First, we tested our approach using synthetic data derived from a rigorous model of scattering from cylinders in an IR microscope. Second, we applied the approach to Fourier transform IR (FT-IR) microspectroscopy data recorded from filamentous fungal and cellulose samples with pronounced fiber-like shapes. While the corrected spectra show greatly reduced baseline offsets and consistency, strongly absorbing regions of the spectrum require further refinement. The modified EMSC algorithm broadly mitigates the effects of scattering, offering a practical approach to more consistent and accurate spectra from cylindrical objects or heterogeneous samples with cylindrical domains.
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Affiliation(s)
- Ilia L Rasskazov
- 1 The Institute of Optics, University of Rochester, Rochester, NY, USA
| | - Rajveer Singh
- 2 Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- 3 Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA, USA
| | - P Scott Carney
- 1 The Institute of Optics, University of Rochester, Rochester, NY, USA
| | - Rohit Bhargava
- 2 Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- 4 Departments of Bioengineering, Electrical & Computer Engineering, Chemistry, Chemical and Biomolecular Engineering, and Mechanical Science and Engineering, Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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14
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Pahlow S, Weber K, Popp J, Wood BR, Kochan K, Rüther A, Perez-Guaita D, Heraud P, Stone N, Dudgeon A, Gardner B, Reddy R, Mayerich D, Bhargava R. Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review. APPLIED SPECTROSCOPY 2018; 72:52-84. [PMID: 30265133 PMCID: PMC6524782 DOI: 10.1177/0003702818791939] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Affiliation(s)
- Susanne Pahlow
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
| | - Karina Weber
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Anja Rüther
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Nick Stone
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Alex Dudgeon
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Ben Gardner
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Rohith Reddy
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - David Mayerich
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Departments of Mechanical Engineering, Bioengineering, Chemical and Biomolecular Engineering, Electrical and Computer Engineering, and Chemistry, University of Illinois at Urbana-Champaign, Urbana, USA
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15
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Chan KLA, Fale PLV, Atharawi A, Wehbe K, Cinque G. Subcellular mapping of living cells via synchrotron microFTIR and ZnS hemispheres. Anal Bioanal Chem 2018; 410:6477-6487. [PMID: 30032447 PMCID: PMC6132686 DOI: 10.1007/s00216-018-1245-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 06/25/2018] [Accepted: 07/04/2018] [Indexed: 11/13/2022]
Abstract
FTIR imaging is a label-free, non-destructive method valuably exploited in the study of the biological process in living cells. However, the long wavelength/low spatial resolution and the strong absorbance of water are still key constrains in the application of IR microscopy ex vivo. In this work, a new retrofit approach based on the use of ZnS hemispheres is introduced to significantly improve the spatial resolution on live cell FTIR imaging. By means of two high refractive index domes sandwiching the sample, a lateral resolution close to 2.2 μm at 6 μm wavelength has been achieved, i.e. below the theoretical diffraction limit in air and more than twice the improvement (to ~λ/2.7) from our previous attempt using CaF2 lenses. The ZnS domes also allowed an extended spectral range to 950 cm−1, in contrast to the cut-off at 1050 cm−1 using CaF2. In combination with synchrotron radiation source, microFTIR provides an improved signal-to-noise ratio through the circa 12 μm thin layer of medium, thus allowing detailed distribution of lipids, protein and nucleic acid in the surround of the nucleus of single living cells. Endoplasmic reticula were clearly shown based on the lipid ν(CH) and ν(C=O) bands, while the DNA was imaged based on the ν(PO2−) band highlighting the nucleus region. This work has also included a demonstration of drug (doxorubicin) in cell measurement to highlight the potential of this approach. Graphical abstract ![]()
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Affiliation(s)
- K L Andrew Chan
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK.
| | - Pedro L V Fale
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK.,Center of Chemistry and Biochemistry, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal
| | - Ali Atharawi
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK
| | - Katia Wehbe
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK
| | - Gianfelice Cinque
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK
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16
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Ewing AV, Kazarian SG. Recent advances in the applications of vibrational spectroscopic imaging and mapping to pharmaceutical formulations. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 197:10-29. [PMID: 29290567 DOI: 10.1016/j.saa.2017.12.055] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 12/13/2017] [Accepted: 12/19/2017] [Indexed: 06/07/2023]
Abstract
Vibrational spectroscopic imaging and mapping approaches have continued in their development and applications for the analysis of pharmaceutical formulations. Obtaining spatially resolved chemical information about the distribution of different components within pharmaceutical formulations is integral for improving the understanding and quality of final drug products. This review aims to summarise some key advances of these technologies over recent years, primarily since 2010. An overview of FTIR, NIR, terahertz spectroscopic imaging and Raman mapping will be presented to give a perspective of the current state-of-the-art of these techniques for studying pharmaceutical samples. This will include their application to reveal spatial information of components that reveals molecular insight of polymorphic or structural changes, behaviour of formulations during dissolution experiments, uniformity of materials and detection of counterfeit products. Furthermore, new advancements will be presented that demonstrate the continuing novel applications of spectroscopic imaging and mapping, namely in FTIR spectroscopy, for studies of microfluidic devices. Whilst much of the recently developed work has been reported by academic groups, examples of the potential impacts of utilising these imaging and mapping technologies to support industrial applications have also been reviewed.
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Affiliation(s)
- Andrew V Ewing
- Imperial College London, Department of Chemical Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Sergei G Kazarian
- Imperial College London, Department of Chemical Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom.
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17
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Wrobel TP, Bhargava R. Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences. Anal Chem 2018; 90:1444-1463. [PMID: 29281255 PMCID: PMC6421863 DOI: 10.1021/acs.analchem.7b05330] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Tomasz P. Wrobel
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
- Departments of Bioengineering, Electrical and Computer Engineering, Mechanical Science and Engineering, Chemical and Biomolecular Engineering, and Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
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18
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Ewing AV, Kazarian SG. Infrared spectroscopy and spectroscopic imaging in forensic science. Analyst 2018; 142:257-272. [PMID: 27905577 DOI: 10.1039/c6an02244h] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Infrared spectroscopy and spectroscopic imaging, are robust, label free and inherently non-destructive methods with a high chemical specificity and sensitivity that are frequently employed in forensic science research and practices. This review aims to discuss the applications and recent developments of these methodologies in this field. Furthermore, the use of recently emerged Fourier transform infrared (FT-IR) spectroscopic imaging in transmission, external reflection and Attenuated Total Reflection (ATR) modes are summarised with relevance and potential for forensic science applications. This spectroscopic imaging approach provides the opportunity to obtain the chemical composition of fingermarks and information about possible contaminants deposited at a crime scene. Research that demonstrates the great potential of these techniques for analysis of fingerprint residues, explosive materials and counterfeit drugs will be reviewed. The implications of this research for the examination of different materials are considered, along with an outlook of possible future research avenues for the application of vibrational spectroscopic methods to the analysis of forensic samples.
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Affiliation(s)
- Andrew V Ewing
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
| | - Sergei G Kazarian
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
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19
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Baker MJ, Byrne HJ, Chalmers J, Gardner P, Goodacre R, Henderson A, Kazarian SG, Martin FL, Moger J, Stone N, Sulé-Suso J. Clinical applications of infrared and Raman spectroscopy: state of play and future challenges. Analyst 2018; 143:1735-1757. [DOI: 10.1039/c7an01871a] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
This review examines the state-of-the-art of clinical applications of infrared absorption and Raman spectroscopy, outstanding challenges, and progress towards translation.
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Affiliation(s)
- Matthew J. Baker
- WestCHEM
- Technology and Innovation Centre
- Department of Pure and Applied Chemistry
- University of Strathclyde
- Glasgow G1 1RD
| | - Hugh J. Byrne
- FOCAS Research Institute
- Dublin Institute of Technology
- Dublin 8
- Ireland
| | | | - Peter Gardner
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Royston Goodacre
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Alex Henderson
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Sergei G. Kazarian
- Department of Chemical Engineering
- Imperial College London
- South Kensington Campus
- London
- UK
| | - Francis L. Martin
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
| | - Julian Moger
- Biomedical Physics
- School of Physics and Astronomy
- University of Exeter
- Exeter EX4 4QL
- UK
| | - Nick Stone
- Biomedical Physics
- School of Physics and Astronomy
- University of Exeter
- Exeter EX4 4QL
- UK
| | - Josep Sulé-Suso
- Institute for Science and Technology in Medicine
- Keele University
- Guy Hilton Research Centre
- Stoke on Trent ST4 7QB
- UK
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20
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Szafraniec E, Wiercigroch E, Czamara K, Majzner K, Staniszewska-Slezak E, Marzec KM, Malek K, Kaczor A, Baranska M. Diversity among endothelial cell lines revealed by Raman and Fourier-transform infrared spectroscopic imaging. Analyst 2018; 143:4323-4334. [DOI: 10.1039/c8an00239h] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
A methodology of examination and characterization of popular human endothelial cells lines.
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Affiliation(s)
| | | | - Krzysztof Czamara
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Katarzyna Majzner
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Emilia Staniszewska-Slezak
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Katarzyna M. Marzec
- Jagiellonian Centre for Experimental Therapeutics (JCET)
- Jagiellonian University
- 30-348 Krakow
- Poland
| | - Kamilla Malek
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Agnieszka Kaczor
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
| | - Malgorzata Baranska
- Faculty of Chemistry
- Jagiellonian University
- 30-387 Krakow
- Poland
- Jagiellonian Centre for Experimental Therapeutics (JCET)
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21
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Rasskazov IL, Spegazzini N, Carney PS, Bhargava R. Dielectric Sphere Clusters as a Model to Understand Infrared Spectroscopic Imaging Data Recorded from Complex Samples. Anal Chem 2017; 89:10813-10818. [PMID: 28895722 DOI: 10.1021/acs.analchem.7b02168] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Understanding the infrared (IR) spectral response of materials as a function of their morphology is not only of fundamental importance but also of contemporary practical need in the analysis of biological and synthetic materials. While significant work has recently been reported in understanding the spectra of particles with well-defined geometries, we report here on samples that consist of collections of particles. First, we theoretically model the importance of multiple scattering effects and computationally predict the impact of local particles' environment on the recorded IR spectra. Both monodisperse and polydisperse particles are considered in clusters with various degrees of packing. We show that recorded spectra are highly dependent on the cluster morphology and size of particles but the origin of this dependence is largely due to the scattering that depends on morphology and not absorbance that largely depends on the volume of material. The effect of polydispersity is to reduce the fine scattering features in the spectrum, resulting in a closer resemblance to bulk spectra. Fourier transform-IR (FT-IR) spectra of clusters of electromagnetically coupled poly(methyl methacrylate) (PMMA) spheres with wavelength-scale diameters were recorded and compared to simulated results. Measured spectra agreed well with those predicted. Of note, when PMMA spheres occupy a volume greater than 18% of the focal volume, the recorded IR spectrum becomes almost independent of the cluster's morphological changes. This threshold, where absorbance starts to dominate the signal, exactly matches the percolation threshold for hard spheres and quantifies the transition between the single particle and bulk behavior. Our finding enables an understanding of the spectral response of structured samples and points to appropriate models for recovering accurate chemical information from in IR microspectroscopy data.
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Affiliation(s)
- Ilia L Rasskazov
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - Nicolas Spegazzini
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - P Scott Carney
- The Institute of Optics, University of Rochester , Rochester, New York 14627, United States
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.,Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.,Departments of Bioengineering, Chemistry, Chemical and Biomolecular Engineering, and Mechanical Science and Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
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22
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Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers. Anal Bioanal Chem 2017; 409:5813-5820. [PMID: 28852781 PMCID: PMC5602084 DOI: 10.1007/s00216-017-0574-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 07/26/2017] [Accepted: 08/07/2017] [Indexed: 12/22/2022]
Abstract
Spectroscopic imaging of biomaterials and biological systems has received increased interest within the last decade because of its potential to aid in the detection of disease using biomaterials/biopsy samples and to probe the states of live cells in a label-free manner. The factors behind this increased attention include the availability of improved infrared microscopes and systems that do not require the use of a synchrotron as a light source, as well as the decreasing costs of these systems. This article highlights the current technical challenges and future directions of mid-infrared spectroscopic imaging within this field. Specifically, these are improvements in spatial resolution and spectral quality through the use of novel added lenses and computational algorithms, as well as quantum cascade laser imaging systems, which offer advantages over traditional Fourier transform infrared systems with respect to the speed of acquisition and field of view. Overcoming these challenges will push forward spectroscopic imaging as a viable tool for disease diagnostics and medical research. Absorbance images of a biopsy obtained using an FTIR imaging microscope with and without an added lens, and also using a QCL microscope with high-NA objective. ![]()
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23
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Shinzawa H, Turner B, Mizukado J, Kazarian SG. Protein hydration in living cells probed by Fourier transform infrared (FT-IR) spectroscopic imaging. Analyst 2017; 142:2475-2483. [DOI: 10.1039/c7an00337d] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
FT-IR spectra of a HEK cell were analyzed with 2D disrelation mapping to reveal molecular states of water and protein hydration.
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Affiliation(s)
- H. Shinzawa
- Department of Chemical Engineering
- Imperial College London
- UK
- National Institute of Advanced Industrial Science and Technology (AIST)
- Japan
| | - B. Turner
- Department of Chemical Engineering
- Imperial College London
- UK
| | - J. Mizukado
- National Institute of Advanced Industrial Science and Technology (AIST)
- Japan
| | - S. G. Kazarian
- Department of Chemical Engineering
- Imperial College London
- UK
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24
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Oliver KV, Vilasi A, Maréchal A, Moochhala SH, Unwin RJ, Rich PR. Infrared vibrational spectroscopy: a rapid and novel diagnostic and monitoring tool for cystinuria. Sci Rep 2016; 6:34737. [PMID: 27721432 PMCID: PMC5056377 DOI: 10.1038/srep34737] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 09/13/2016] [Indexed: 11/09/2022] Open
Abstract
Cystinuria is the commonest inherited cause of nephrolithiasis (~1% in adults; ~6% in children) and is the result of impaired cystine reabsorption in the renal proximal tubule. Cystine is poorly soluble in urine with a solubility of ~1 mM and can readily form microcrystals that lead to cystine stone formation, especially at low urine pH. Diagnosis of cystinuria is made typically by ion-exchange chromatography (IEC) detection and quantitation, which is slow, laboursome and costly. More rapid and frequent monitoring of urinary cystine concentration would significantly improve the diagnosis and clinical management of cystinuria. We used attenuated total reflection - Fourier transform infrared spectroscopy (ATR-FTIR) to detect and quantitate insoluble cystine in 22 cystinuric and 5 healthy control urine samples. Creatinine concentration was also determined by ATR-FTIR to adjust for urinary concentration/dilution. Urine was centrifuged, the insoluble fraction re-suspended in 5 μL water and dried on the ATR prism. Cystine was quantitated using its 1296 cm−1 absorption band and levels matched with parallel measurements made using IEC. ATR-FTIR afforded a rapid and inexpensive method of detecting and quantitating insoluble urinary cystine. This proof-of-concept study provides a basis for developing a high-throughput, cost-effective diagnostic method for cystinuria, and for point-of-care clinical monitoring
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Affiliation(s)
- Katherine V Oliver
- Glynn Laboratory of Bioenergetics, Institute of Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Annalisa Vilasi
- Mass Spectrometry and Proteomics, Institute of Biosciences and Bioresources, National Research Council of Italy, Naples, Italy
| | - Amandine Maréchal
- Glynn Laboratory of Bioenergetics, Institute of Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Shabbir H Moochhala
- UCL Centre for Nephrology, Royal Free Hospital, Pond Street, London NW3 2QG, United Kingdom
| | - Robert J Unwin
- UCL Centre for Nephrology, Royal Free Hospital, Pond Street, London NW3 2QG, United Kingdom
| | - Peter R Rich
- Glynn Laboratory of Bioenergetics, Institute of Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, United Kingdom
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