Groping for quantitative digital 3‐D image analysis: an approach to quantitative fluorescence in situ hybridization in thick tissue sections of prostate carcinoma
Affiliations: GSF National Research Center for Environment and Health, Institute of Pathology, Ingolstädter Landstr. 1, D‐85764 Neuherberg, Germany Tel: +49(0) 89 3187 3401; Fax: +49(0) 89 3187 3349; Email: [email protected]
Note: [] Guest scientist, from CVPR Unit, Indian Statistical Institute, Calcutta, India.
Abstract: In molecular pathology numerical chromosome aberrations have been found to be decisive for the prognosis of malignancy in tumours. The existence of such aberrations can be detected by interphase fluorescence in situ hybridization (FISH). The gain or loss of certain base sequences in the desoxyribonucleic acid (DNA) can be estimated by counting the number of FISH signals per cell nucleus. The quantitative evaluation of such events is a necessary condition for a prospective use in diagnostic pathology. To avoid occlusions of signals, the cell nucleus has to be analyzed in three dimensions. Confocal laser scanning microscopy is the means to obtain series of optical thin sections from fluorescence stained or marked material to fulfill the conditions mentioned above. A graphical user interface (GUI) to a software package for display, inspection, count and (semi‐)automatic analysis of 3‐D images for pathologists is outlined including the underlying methods of 3‐D image interaction and segmentation developed. The preparative methods are briefly described. Main emphasis is given to the methodical questions of computer‐aided analysis of large 3‐D image data sets for pathologists. Several automated analysis steps can be performed for segmentation and succeeding quantification. However tumour material is in contrast to isolated or cultured cells even for visual inspection, a difficult material. For the present a fully automated digital image analysis of 3‐D data is not in sight. A semi‐automatic segmentation method is thus presented here.
Keywords: Fluorescence in situ hybridization (FISH), confocal laser scanning microscopy, graphical user interface, 3‐D image analysis, segmentation
