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Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images
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SYSNO ASEP 0365674 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images Author(s) Schier, Jan (UTIA-B) RID
Kovář, Bohumil (UTIA-B) RID
Kočárek, E. (CZ)
Kuneš, Michal (UTIA-B) RIDSource Title Convergence and Hybrid Information Technology. - Berlin Heidelberg : Springer-Verlag, 2011 - ISBN 978-3-642-24081-2 Pages s. 622-633 Number of pages 12 s. Publication form www - www Action 5th International Conference, ICHIT 2011 Event date 22.09.2011-24.09.2011 VEvent location Daejeon Country KR - Korea, Republic of Event type WRD Language eng - English Country DE - Germany Keywords fluorescence in-situ hybridization ; image processing ; image segmentation Subject RIV IN - Informatics, Computer Science R&D Projects TA01010931 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The paper describes automated segmentation and analysis of the microscopic images resulting from fluorescence in-situ hybridization (FISH) analysis. FISH is a popular molecular cytogenetic method. The output of a single FISH analysis is a set of several tens or hundreds microscopic images. The goal of an automated evaluation is to replace the subjective evaluation of images by the laboratory technician to achieve higher uniformity of results. Following explanation of the principle of the method and the typical contents of images, the processing flow of image segmentation is outlined and the results are presented on several example images. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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