24 April 1998 Mid-infrared spectroscopy as a tool for disease pattern recognition from human blood
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Proceedings Volume 3257, Infrared Spectroscopy: New Tool in Medicine; (1998); doi: 10.1117/12.306090
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
Abstract
Disease pattern recognition (DPR) is being developed as a reagent-free measurement technique for the diagnosis of blood samples. The technological basis of this method is mid IR spectroscopy. For the analysis, 1 (mu) l blood is deposited on a disposable and dried before measurement. The IR spectra give rise to characteristic patterns in narrow wavenumber regions, which are modified in the presence of relatively small pathophysiological changes. the spectral changes depending on the disease are always higher than those caused by the deviations resulting from instrumental or handling errors. The information content of the spectra is reflected by the standard error, which varies between differently 'diseased' and 'healthy' persons. The standard error of the first derivative spectra is three times higher for 'diseased' compared to 'healthy' persons. This has been demonstrated for a comparable population of 'diseased' and 'healthy' persons. In total, more than 2000 spectra from different individuals were analyzed. Preliminary result using various mathematical algorithms indicate, that clear distinctions can be found for a variety of different disease compared to patterns of 'healthy' spectra. This qualitative information about the blood sample may be used as a quick and comprehensive diagnostic tool.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerhard H. Werner, Johanna Frueh, Franz Keller, Helmut Greger, Raymond L. Somorjai, Brion Dolenko, Matthias Otto, Dirk Boecker, "Mid-infrared spectroscopy as a tool for disease pattern recognition from human blood", Proc. SPIE 3257, Infrared Spectroscopy: New Tool in Medicine, (24 April 1998); doi: 10.1117/12.306090; https://doi.org/10.1117/12.306090
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KEYWORDS
Blood

Binary data

Spectroscopy

Diagnostics

Mid-IR

Pattern recognition

Infrared spectroscopy

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