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Proceedings Paper

Image reconstruction of FT-IR microspectrometric data
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Paper Abstract

FT-IR microspectrometry, particularly in combination with digital imaging techniques shows great promise for in-vivo and ex-vivo medical diagnosis. The statement is based on the knowledge that this method delivers information of the chemical structure and composition of a sample and the fact that any disease is linked to changes in the molecular and structural composition of cells and tissues. Typically, these changes are highly specific for a given tissue structure and are therefore potentially detectable by FT-IR microspectrometry. In this paper we present several approaches for the representation of mid-infrared microspectroscopic data acquired with high spatial resolution by the use of a MCT focal plane array detector. The applicability of image reassembling methodologies like functional group analysis, image reconstruction based on factor analysis and artificial neural network analysis to the IR data is discussed.

Paper Details

Date Published: 14 March 2000
PDF: 11 pages
Proc. SPIE 3920, Spectral Imaging: Instrumentation, Applications, and Analysis, (14 March 2000); doi: 10.1117/12.379591
Show Author Affiliations
Peter Lasch, Robert Kock Institut (Germany)
E. Neil Lewis, National Institutes of Health (United States)
Linda H. Kidder, National Institutes of Health (United States)
Dieter Naumann, Robert Koch Institut (Germany)


Published in SPIE Proceedings Vol. 3920:
Spectral Imaging: Instrumentation, Applications, and Analysis
Gregory H. Bearman; Dario Cabib; Richard M. Levenson, Editor(s)

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