Open AccessComputer image analysis of combinatorial multi‐fluor FISH
Author(s) -
Speicher Michael R,
Ballard Stephen Gwyn,
Ward David C
Publication year - 1996
Publication title -
bioimaging
Language(s) - English
Resource type - Journals
eISSN - 1361-6374
pISSN - 0966-9051
DOI - 10.1002/1361-6374(199606)4:2<52::aid-bio3>3.0.co;2-q
Subject(s) - software , computer science , fluorescence in situ hybridization , fish <actinopterygii> , comparative genomic hybridization , multiplex , artificial intelligence , segmentation , standardization , pattern recognition (psychology) , image processing , computational biology , computer vision , chromosome , biology , image (mathematics) , bioinformatics , genetics , fishery , gene , programming language , operating system
Epifluorescence filter sets and computer software for the detection and discrimination of up to 27 different DNA probes using multiplex‐fluorescence in situ hybridization (M‐FISH) have been developed recently. This paper focuses on a more detailed description of the specific software developed for the analysis of M‐FISH experiments. Crucial steps in the evaluation process such as standardization of image acquisition, chromosome segmentation, fluorescence background estimation, accurate measurement of fluorescence intensities and definition of thresholds will be described. The application of M‐FISH and comparative genomic hybridization (CGH) for the detection of chromosomal abnormalities in squamous cell cancer of the head and neck is also reported. Finally, we try to define an acceptable ‘standard’ for a fully automated multicolor imaging system.