<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Saracoglu, K.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bildanalyse von M-FISH</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ub.uni-heidelberg.de/archiv/1805/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Multiplex-FISH is a combinatorial staining technique that allows the simultaneous detection and discrimination of all human chromosomes. Using at least five fluorochromes all chromosomes can be uniquely labeled in a combinatorial way and identified by their specific spectral signature. Within this thesis I developed a novel approach for the automated analysis of M-FISH images, yielding robust classification results and allowing the analysis of M-FISH images of different experiments. The method combines spectral information with spatial information to tesselate the image into regions of similar color. Subsequently a cluster analysis in color space and a final classification step are performed to identify the biological targets. This approach is applicable to images of different M-FISH experiments, allowing the analysis of interchromosomal as well as intrachromosomal abnormalities in the genome. It also allows the 3D analysis of M-FISH labeled chromosomes in interphase nuclei.</style></abstract></record></records></xml>