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Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis.

Publication ,  Journal Article
Wang, L; Chapman, J; Palmer, RA; van Ramm, O; Mizaikoff, B
Published in: Journal of biomedical optics
March 2007

Atherosclerotic and normal rabbit aorta samples show a marked difference in chemical composition governed by the water, lipid, and protein content. The strongly overlapping infrared absorption features of the different constituents, and the complexity of the tissue matrix, render tissue classification by direct evaluation of molecular spectroscopic characteristics obtained from IR reflectance or attenuated total reflectance (ATR) measurements virtually impossible. We apply multivariate analysis and classification techniques based on partial least squares regression (PLS) and linear discriminant analysis to IR spectroscopic data obtained by IR-ATR measurements and reflectance IR microscopy with high predictive accuracy during blind testing. Training data are collected from atherosclerotic and normal rabbit aorta samples. These results demonstrate the potential of IR spectroscopy combined with multivariate classification strategies for the in-vitro identification of normal and atherosclerotic aorta tissue. The prospect for future in-vivo measurement concepts is also discussed.

Duke Scholars

Published In

Journal of biomedical optics

DOI

EISSN

1560-2281

ISSN

1083-3668

Publication Date

March 2007

Volume

12

Issue

2

Start / End Page

024006

Related Subject Headings

  • Spectrophotometry, Infrared
  • Rabbits
  • Optics
  • Multivariate Analysis
  • Male
  • Diagnosis, Computer-Assisted
  • Coronary Artery Disease
  • Biomarkers
  • Aorta
  • Animals
 

Citation

APA
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MLA
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Wang, L., Chapman, J., Palmer, R. A., van Ramm, O., & Mizaikoff, B. (2007). Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis. Journal of Biomedical Optics, 12(2), 024006. https://doi.org/10.1117/1.2714030
Wang, Liqun, Jessica Chapman, Richard A. Palmer, Olaf van Ramm, and Boris Mizaikoff. “Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis.Journal of Biomedical Optics 12, no. 2 (March 2007): 024006. https://doi.org/10.1117/1.2714030.
Wang L, Chapman J, Palmer RA, van Ramm O, Mizaikoff B. Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis. Journal of biomedical optics. 2007 Mar;12(2):024006.
Wang, Liqun, et al. “Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis.Journal of Biomedical Optics, vol. 12, no. 2, Mar. 2007, p. 024006. Epmc, doi:10.1117/1.2714030.
Wang L, Chapman J, Palmer RA, van Ramm O, Mizaikoff B. Classification of atherosclerotic rabbit aorta samples by mid-infrared spectroscopy using multivariate data analysis. Journal of biomedical optics. 2007 Mar;12(2):024006.

Published In

Journal of biomedical optics

DOI

EISSN

1560-2281

ISSN

1083-3668

Publication Date

March 2007

Volume

12

Issue

2

Start / End Page

024006

Related Subject Headings

  • Spectrophotometry, Infrared
  • Rabbits
  • Optics
  • Multivariate Analysis
  • Male
  • Diagnosis, Computer-Assisted
  • Coronary Artery Disease
  • Biomarkers
  • Aorta
  • Animals