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Proceedings Paper

Progress in diagnostic pattern recognition (DPR)
Author(s): Joachim Moecks; Gerrit Kocherscheidt; W. Koehler; Wolfgang H. Petrich
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Paper Abstract

The identification and analysis of disease-specific signatures in mid-infrared spectra of serum forms the basis of a method called “Diagnostic Pattern Recognition (DPR)”. A conceivable usage of this method in clinical diagnostics requires that the method be applied in a convenient and robust manner. Thus, automation, room-temperature operation and reproducibility the prerequisite improvements toward routine application. We have investigated the performance two identical, semi-automated DPR systems. In contrast to previous measurements, which required MCT detectors, the use of a DLaTGS detector allowed the systems to be operated without the requirement of liquid nitrogen cooling. A series of measurements showed that automated pipetting improves the reproducibility significantly as compared to manual pipetting. For automated pipetting, the within-day variations are of minor importance. However, day-to-day variations may decrease the reproducibility in some spectral regions by more than a factor of two. Slight dependence of the reproducibility on the protein content of the serum samples has been observed.

Paper Details

Date Published: 1 July 2004
PDF: 7 pages
Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, (1 July 2004); doi: 10.1117/12.529288
Show Author Affiliations
Joachim Moecks, Roche Diagnostics GmbH (Germany)
Gerrit Kocherscheidt, DIOPTIC GmbH (Germany)
W. Koehler, Base-Line (Germany)
Wolfgang H. Petrich, Roche Diagnostics GmbH (Germany)

Published in SPIE Proceedings Vol. 5321:
Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies
Zygmunt Gryczynski; Anita Mahadevan-Jansen; Michael G. Sowa; Tuan Vo-Dinh; Joseph R. Lakowicz; Gerwin J. Puppels, Editor(s)

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