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Biomedical subjects

W Abmayr

Publications and source records attributed to W Abmayr.

3 recordsLinked to original sources

A thresholding method for automatic cell image segmentation.

An algorithm for automatic segmentation of PAP-stained cell images and its digital implementation is described. First, the image is filtered in order to eliminate the granularily and small objects in the image which may upset the segmentation procedure. In a second step, information on gradient and compactness is extracted from the filtered image and stored in three histograms as functions of the extinction. From these histograms, two extinction thresholds are computed. These thresholds are suitable to separate the nucleus from the cytoplasm, and the cytoplasm from the background in the filtered image. Masks are determined in this way, and finally used to analyse the nucleus and the cytoplasm in the original image.

Cell Compartmentation

Correlation between nuclear morphology and rate of deoxyribonucleic acid synthesis in a normal cell line.

Chinese hamster fibroblasts were investigated for the existence of correlations between proliferative activity and nuclear morphology. As a proliferative parameter, the rate of DNA synthesis of individual cells was determined by quantitative 14C-autoradiography. In a second step the images of the Feulgen-stained nuclei were digitized for extraction of features of morphology and texture. These features were correlated with the corresponding DNA synthesis rate values. The following relationships were found: Round nuclei have higher rates of DNA synthesis than flat ones. The more chromatin is packed at the nuclear rim, possibly representing heterochromatin, the lower the rate of DNA synthesis. The DNA synthesis rate also correlates with the graininess of chromatin. Larger areas of condensed chromatin are associated with lower rate values. A fine and irregular network of chromatin, as is typical of immature cell types, is associated with a high rate of DNA synthesis. Although these results are presently confined to the cell line investigated, parallels seem to exist to other cell types, such as erythropoietic cells, which await further investigation.

Animals

Progress report of the TUDAB project for automated cancer cell detection.

Two methods for high resolution cell image data acquisition are applied routinely. Cells are either scanned by a computer controlled fast scanning microscope photometer (SMP) or a TV-camera. The software system for digital image analysis was completely revised and implemented on the PR 330 minicomputer. The system contains codes for primary cell data acquisition, segmentation of cells, cell feature extraction and statistical cell analysis. With this system, SMP and TV scanned cell data bases of PAP stained cells in vaginal smears, grouped into several classes, have been built up. Each data base contains 34 primary features and 20 feature combinations for each cell. A linear discriminant analysis is applied routinely for cell classification. The present state of the system and its operation are described, cell features and classification results are shown, and future steps for a prescreening strategy are discussed.

Computers