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1 July 2004 Progress in diagnostic pattern recognition (DPR)
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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.
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Joachim Moecks, Gerrit Kocherscheidt, W. Koehler, and Wolfgang H. Petrich "Progress in diagnostic pattern recognition (DPR)", Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, (1 July 2004);

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