Image reconstruction of FT-IR microspectrometric data

Peter Lasch; E. Neil Lewis; Linda H. Kidder; Dieter Naumann

doi:10.1117/12.379591

14 March 2000 Image reconstruction of FT-IR microspectrometric data

Peter Lasch, E. Neil Lewis, Linda H. Kidder, Dieter Naumann

Proceedings Volume 3920, Spectral Imaging: Instrumentation, Applications, and Analysis; (2000) https://doi.org/10.1117/12.379591
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

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.

Citation Download Citation

Peter Lasch, E. Neil Lewis, Linda H. Kidder, and Dieter Naumann "Image reconstruction of FT-IR microspectrometric data", Proc. SPIE 3920, Spectral Imaging: Instrumentation, Applications, and Analysis, (14 March 2000); https://doi.org/10.1117/12.379591

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