Počet záznamů: 1

Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images

  1. 1.
    0365674 - UTIA-B 2012 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
    Schier, Jan - Kovář, Bohumil - Kočárek, E. - Kuneš, Michal
    Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images.
    Convergence and Hybrid Information Technology. Berlin Heidelberg: Springer-Verlag, 2011, s. 622-633. Lecture Notes in Computer Science. ISBN 978-3-642-24081-2.
    [5th International Conference, ICHIT 2011. Daejeon (KR), 22.09.2011-24.09.2011]
    Grant CEP: GA TA ČR TA01010931
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: fluorescence in-situ hybridization * image processing * image segmentation
    Kód oboru RIV: IN - Informatika
    http://library.utia.cas.cz/separaty/2011/ZS/shier-image processing for automated analysis of the fluorescence in-situ hybridization (fish) microscopic images.pdf http://library.utia.cas.cz/separaty/2011/ZS/shier-image processing for automated analysis of the fluorescence in-situ hybridization (fish) microscopic images.pdf

    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.
    Trvalý link: http://hdl.handle.net/11104/0200859