Digital picture analysis in microphotometry of biological materials

Automatic evaluation of two-dimensional thin-layer-chromatograms exemplarily demonstrates the applicability of signal processing, image analysis, and pattern recognition to microphotometry by an enlarged dynamic range of the photometer, improved reproducibility by noise reduction, discrimination bet...

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Bibliographic Details
Published inJournal of microscopy (Oxford) Vol. 116; no. 3; p. 365
Main Author Zimmer, H G
Format Journal Article
LanguageEnglish
Published England 01.08.1979
Subjects
Analog-Digital Conversion
Biological Products - analysis
Chromatography, Thin Layer
Computers
Image Enhancement
Microscopy - methods
Pattern Recognition, Automated
Photometry - methods
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Summary:Automatic evaluation of two-dimensional thin-layer-chromatograms exemplarily demonstrates the applicability of signal processing, image analysis, and pattern recognition to microphotometry by an enlarged dynamic range of the photometer, improved reproducibility by noise reduction, discrimination between objects and background, feature extraction and automatic classification of the results. Emphasis is put on simple procedures which are tested in routine work and can be implemented on minicomputers.
ISSN:0022-2720
DOI:10.1111/j.1365-2818.1979.tb00221.x