Paper
14 March 2000 Image reconstruction of FT-IR microspectrometric data
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 7 scholarly publications.
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KEYWORDS
Tissues

Data acquisition

Factor analysis

FT-IR spectroscopy

Infrared imaging

Spectroscopy

Chemical analysis

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