Using Fourier transform IR spectroscopy to analyze biological materials

Baker, Matthew J. and Trevisan, Júlio and Bassan, Paul and Bhargava, Rohit and Butler, Holly J. and Dorling, Konrad M. and Fielden, Peter R. and Fogarty, Simon W. and Fullwood, Nigel J. and Heys, Kelly A. and Hughes, Caryn and Lasch, Peter and Martin-Hirsch, Pierre L. and Obinaju, Blessing and Sockalingum, Ganesh D. and Sulé-Suso, Josep and Strong, Rebecca and Walsh, Michael J. and Wood, Bayden R. and Gardner, Peter and Martin, Francis L. (2014) Using Fourier transform IR spectroscopy to analyze biological materials. Nature Protocols, 9 (8). pp. 1771-1791. ISSN 1750-2799

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Abstract

IR spectroscopy is an excellent method for biological analyses. It enables the nonperturbative, label-free extraction of biochemical information and images toward diagnosis and the assessment of cell functionality. Although not strictly microscopy in the conventional sense, it allows the construction of images of tissue or cell architecture by the passing of spectral data through a variety of computational algorithms. Because such images are constructed from fingerprint spectra, the notion is that they can be an objective reflection of the underlying health status of the analyzed sample. One of the major difficulties in the field has been determining a consensus on spectral pre-processing and data analysis. This manuscript brings together as coauthors some of the leaders in this field to allow the standardization of methods and procedures for adapting a multistage approach to a methodology that can be applied to a variety of cell biological questions or used within a clinical setting for disease screening or diagnosis. We describe a protocol for collecting IR spectra and images from biological samples (e.g., fixed cytology and tissue sections, live cells or biofluids) that assesses the instrumental options available, appropriate sample preparation, different sampling modes as well as important advances in spectral data acquisition. After acquisition, data processing consists of a sequence of steps including quality control, spectral pre-processing, feature extraction and classification of the supervised or unsupervised type. A typical experiment can be completed and analyzed within hours. Example results are presented on the use of IR spectra combined with multivariate data processing.

Item Type: Journal Article
Journal or Publication Title: Nature Protocols
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1300
Subjects:
Departments: Faculty of Science and Technology > Lancaster Environment Centre
Faculty of Health and Medicine > Biomedical & Life Sciences
Faculty of Health and Medicine > Medicine
ID Code: 70092
Deposited By: ep_importer_pure
Deposited On: 24 Jul 2014 10:31
Refereed?: Yes
Published?: Published
Last Modified: 17 Feb 2020 07:00
URI: https://eprints.lancs.ac.uk/id/eprint/70092

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