title: Detection and location of hybridization domains on chromosomes by image cytometry.
abstract: Because of time considerations in performing image analysis for detection of very small amounts of fluorescence probe, there are advantages in using automated detection systems. This unit provides considerable detail on several algorithms used for location of hybridization domains that reduce the tedium and improve objectivity and repeatability. Not only are these algorithms described and discussed in detail, but sources for the programs are also provided. Here is a carefully crafted textual and graphical description of how to go about learning the art of automated image analysis.
authors.affiliation: Lawrence Livermore National Laboratory, Livermore, California, USA.
authors.forename: L
authors.initials: L
authors.lastname: Mascio
mesh_terms: D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping / Q000379:methods*; D002875:Chromosomes / Q000648:ultrastructure*; D015342:DNA Probes; D001330:Electronic Data Processing; D005456:Fluorescent Dyes / Q000737:chemistry; D006801:Humans; D007091:Image Processing, Computer-Assisted; D017404:In Situ Hybridization, Fluorescence / Q000295:instrumentation* / Q000379:methods*; D010363:Pattern Recognition, Automated; D012984:Software
chemical_list: D015342:DNA Probes; D005456:Fluorescent Dyes