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Distinguishing cell types or populations based on the computational analysis of their infrared spectra

Martin, Frank and Kerns, Jemma and Llabjani, Valon and Martin-Hirsch, Pierre L. and Patel, Imran I. and Trevisan, Julio and Fullwood, Nigel J. and Walsh, Michael J. (2010) Distinguishing cell types or populations based on the computational analysis of their infrared spectra. Nature Protocols, 5 (11). pp. 1748-1760. ISSN 1754-2189

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Abstract

Infrared (IR) spectroscopy of intact cells results in a fingerprint of their biochemistry in the form of an IR spectrum; this has given rise to the new field of biospectroscopy. This protocol describes sample preparation (a tissue section or cytology specimen), the application of IR spectroscopy tools, and computational analysis. Experimental considerations include optimization of specimen preparation, objective acquisition of a sufficient number of spectra, linking of the derived spectra with tissue architecture or cell type, and computational analysis. The preparation of multiple specimens (up to 50) takes 8 h; the interrogation of a tissue section can take up to 6 h (similar to 100 spectra); and cytology analysis (n = 50, 10 spectra per specimen) takes 14 h. IR spectroscopy generates complex data sets and analyses are best when initially based on a multivariate approach (principal component analysis with or without linear discriminant analysis). This results in the identification of class clustering as well as class-specific chemical entities.

Item Type: Article
Journal or Publication Title: Nature Protocols
Uncontrolled Keywords: MICRO-SPECTROSCOPY ; MULTIVARIATE-ANALYSIS ; MICROSPECTROSCOPY ; TISSUE ; SYNCHROTRON ; CANCER ; RAMAN ; DISCRIMINATION ; IDENTIFICATION ; SCATTERING
Subjects:
Departments: Faculty of Science and Technology > Lancaster Environment Centre
Faculty of Health and Medicine > Medicine
Faculty of Health and Medicine
Faculty of Science and Technology > School of Computing & Communications
Faculty of Health and Medicine > Biomedical & Life Sciences
ID Code: 49098
Deposited By: ep_importer_pure
Deposited On: 22 Jul 2011 11:20
Refereed?: Yes
Published?: Published
Last Modified: 18 Dec 2014 09:06
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/49098

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