Especially bladder tumors of low malignancy (grade I) reveal minor abnormalities and therefore these tumors are often overlooked using cytological methods. Therefore, it appeared useful to examine the applicability of microscopic scanning cytophotometry to discriminate urothelial cells by objective parameters. A special combination of a Leitz MPV 2 microscope Cytophotometer and a digitizer has been built for reasons of interactive segmentation of the cell into nucleus, plasma and background. 240 cells, stained by Papanicolaou technique, have been visually classified and the computer discrimination between benign, atypical and malignant cells has been accomplished with a small error of classification, not greater than five percent.

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