Analysis of neoplastic changes in mouse lung using Fourier-transform infrared microspectroscopy

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DOIResolve DOI: http://doi.org/10.1016/S0924-2031(01)00161-8
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TypeArticle
Proceedings titleVibrational Spectroscopy
ConferenceShedding New Light On Disease: Optical Diagnostics for the New Millennium, June 25-30, 2000, Winnipeg, Canada
ISSN0924-2031
Volume28
Issue1
Pages189197; # of pages: 9
SubjectLung neoplasm; Type II cells; Electron microscopy; Infrared microspectroscopy; Lung classification; Genetic algorithm
AbstractMethods based on infrared microspectroscopy were explored as a means to distinguish normal from neoplastic lung tissue. Mice were exposed to urethane, a known environmental carcinogen. After 3–8 months, lungs were removed, snap-frozen, sectioned and analyzed by standard histological methods and by infrared microspectroscopy. Neoplasms were readily observed in mice treated with urethane. Ultra-structurally, the neoplasms were composed entirely of type II alveolar cells displaying intracellular lamellar bodies. A fusion of two spectral pre-processing techniques, optimal region selection and linear discriminant analysis (LDA), was used to search for infrared spectral signatures distinguishing normal from neoplastic tissue. These techniques showed clear and reproducible differences between the complex spectra of these tissue types, suggesting that infrared microspectroscopy in conjunction with spectral processing technology may be useful to reveal subtle spectral differences occurring following induction of neoplastic changes and to interpret their biochemical origins.
Publication date
PublisherElsevier Science B.V
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Biodiagnostics
Peer reviewedYes
NRC number1936
NPARC number9722783
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Record identifier0353c8cf-2bc3-40c9-b81f-f20a64fc144f
Record created2009-07-17
Record modified2016-09-12
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