Paper
29 December 1997 FTIR microspectroscopic imaging of human carcinoma thin tissue sections
Peter Lasch, Wolfgang Waesche, Uwe Bindig, Dieter Naumann, Gerhard J. Mueller
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Abstract
The FT-IR-microspectroscopic mapping technique in combination with image construction methods has been used to characterize thin tissue sections from human melanoma. IR mapping spectroscopy as a spatially two-dimensional working technique is a non-invasive analytical method. Up to now IR-imaging has been based on distinct spectral parameters such as frequency, intensity or fullwidth of half maximum, ratio of single wavelengths and so on. We decided to compare this technique with other chemometric methods and to secure that these parameters will not give unsatisfactory results. For this purpose pattern recognition analysis (PRA) e.g. principal component analysis (PCA) or artificial neural networks (ANN) of IR-data, confirmed with standard histopathological techniques, has turned out to be helpful to discriminate also between different tissues.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Lasch, Wolfgang Waesche, Uwe Bindig, Dieter Naumann, and Gerhard J. Mueller "FTIR microspectroscopic imaging of human carcinoma thin tissue sections", Proc. SPIE 3197, Optical Biopsies and Microscopic Techniques II, (29 December 1997); https://doi.org/10.1117/12.297974
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Cited by 2 scholarly publications.
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KEYWORDS
Tissues

Principal component analysis

Pattern recognition

Biological research

Clouds

Artificial neural networks

Associative arrays

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