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Proceedings Paper

FT-IR microspectroscopic imaging of prostate tissue sections
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Paper Abstract

Different cluster image reassembling methodologies have been used to generate infrared maps from FT-IR microspectra of human prostate tissue sections. Spectra were collected in transmission mode with high spatial resolution by the use of a HgCdTe focal plane array detector imaging system. While univariate imaging techniques such as chemical mapping often give unsatisfactory classification results, unsupervised multivariate data analysis techniques such as agglomerative hierarchical clustering, fuzzy C-means, or k-means clustering confirmed standard histopathological techniques and turned out to be helpful to identify and to discriminate tissues structures. The use of any of the clustering algorithms dramatically increased the information content of the IR images, as compared to chemical mapping. Among the cluster imaging methods, agglomerative hierarchical clustering (Ward's algorithm) turned out to be the best method in terms of tissue structure differentiation.

Paper Details

Date Published: 1 July 2004
PDF: 9 pages
Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, (1 July 2004); doi: 10.1117/12.529125
Show Author Affiliations
Peter Lasch, Robert Koch Institut (Germany)
Max Diem, CUNY/Hunter College (United States)
Dieter Naumann, Robert Koch Institut (Germany)


Published in SPIE Proceedings Vol. 5321:
Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies
Zygmunt Gryczynski; Tuan Vo-Dinh; Joseph R. Lakowicz; Anita Mahadevan-Jansen; Michael G. Sowa; Gerwin J. Puppels, Editor(s)

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