[Selective contrast enhancement of microscopical specimen by optical procedures for automatized quantitative image analysis (author's transl)].

One of the most important problems in automatic image analysis is the discrimination of features by, a certain range of grey levels. To obtain as many as possible different grey levels sufficient contrast is achieved mainly by specific staining. Alternative and supplementary methods are some micrscopical methods, not routinely used. Interference microscopy, interference reflexion microscopy and microfluorimetry are discussed in detail. These optical procedures enhance the contrast of specimen specifically without the necessity for the application of specimen specifically without the necessity for the application of sophisticated staining methods. In interference contrast, tissues can be separately detected by grey level discrimination due to varying concentration of dry mass; this is shown for a cornifying part of fish skin (breeding tubercle of Rutilus rutilus L.). Furthermore, very small amounts of dry matter can be determined with high precision, as demonstrated for a single tissue culture cell (XTH-cell). Automatisation of image analysis provides a unique opportunity for routine application of interferometric measurements. The principles of the procedures are outlined. By interference reflexion microscopy cellular attachment areas to a glass surface are visualized, providing a powerful tool in cellular diagnosis based on grey level discrimination (darkest parts correspond to zones of closest contact to the substratum). A fast migrating lymphocyte and stationary endothelial cells have been chosen for demonstration. Various histochemical problems can be solved elegantly by fluorescence methods, e.g. mitochondria in living cells are specifically stained by a fluorochrome (DASPMI) and the distribution of fluorescence intensity can be followed within the mitochondrial population of a cell. Fluorescence was recorded from fotographic negatives taken with a fluorescence microscope. Additionally a short comment is given on the application of polarisation microscopy for feature detection.