Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma
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 desoxyribonu...
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| Format: | Article |
| Language: | English |
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Wiley
1997-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1997/790963 |
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| _version_ | 1832565420355223552 |
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| author | Karsten Rodenacker Michaela Aubele Peter Hutzler P. S. Umesh Adiga |
| author_facet | Karsten Rodenacker Michaela Aubele Peter Hutzler P. S. Umesh Adiga |
| author_sort | Karsten Rodenacker |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0b890ee766fa4b01a29ee32fe44486ce |
| institution | Kabale University |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 1997-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-0b890ee766fa4b01a29ee32fe44486ce2025-02-03T01:07:45ZengWileyAnalytical Cellular Pathology0921-89121878-36511997-01-01151192910.1155/1997/790963Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate CarcinomaKarsten Rodenacker0Michaela Aubele1Peter Hutzler2P. S. Umesh Adiga3GSF National Research Center for Environment and Health, Institute of Pathology, Ingolstädter Landstr. 1, D‐85764 Neuherberg, GermanyGSF National Research Center for Environment and Health, Institute of Pathology, Ingolstädter Landstr. 1, D‐85764 Neuherberg, GermanyGSF National Research Center for Environment and Health, Institute of Pathology, Ingolstädter Landstr. 1, D‐85764 Neuherberg, GermanyGSF National Research Center for Environment and Health, Institute of Pathology, Ingolstädter Landstr. 1, D‐85764 Neuherberg, GermanyIn 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.http://dx.doi.org/10.1155/1997/790963 |
| spellingShingle | Karsten Rodenacker Michaela Aubele Peter Hutzler P. S. Umesh Adiga Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma Analytical Cellular Pathology |
| title | Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma |
| title_full | Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma |
| title_fullStr | Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma |
| title_full_unstemmed | Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma |
| title_short | Groping for Quantitative Digital 3-D Image Analysis: An Approach to Quantitative Fluorescence In Situ Hybridization in Thick Tissue Sections of Prostate Carcinoma |
| title_sort | groping for quantitative digital 3 d image analysis an approach to quantitative fluorescence in situ hybridization in thick tissue sections of prostate carcinoma |
| url | http://dx.doi.org/10.1155/1997/790963 |
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