Title :
Image analysis for high throughput genomics
Author :
Bhandarkar, Suchendra M. ; Jiang, Tongzhang ; Verma, Kunal ; Li, Nan
Author_Institution :
Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA
Abstract :
The design and implementation of a computer vision system called DNAScan for the automated analysis of DNA hybridization images is presented. The hybridization of a DNA clone with a radioactively tagged probe manifests itself as a spot on the hybridization membrane. A recursive segmentation procedure is designed and implemented to extract spot-like features in the hybridization images in the presence of a highly inhomogeneous background. Positive hybridization signals (hits) are extracted from the spot-like features using grouping and decomposition algorithms based on computational geometry. A mathematical model for the positive hybridization patterns and a pattern classifier based on shape-based moments are proposed and implemented to distinguish between the clone-probe hybridization signals
Keywords :
DNA; computational geometry; computer vision; feature extraction; image classification; image segmentation; medical image processing; recursive estimation; DNA clone; DNA hybridization images; DNAScan; computational geometry; computer vision system; decomposition; grouping; high-throughput genomics; hybridization membrane; image analysis; inhomogeneous background; mathematical model; pattern classifier; positive hybridization patterns; radioactively tagged probe; recursive segmentation; shape-based moments; spot-like feature extraction; Bioinformatics; Biomembranes; Cloning; Computer vision; DNA; Genomics; Image analysis; Image segmentation; Probes; Throughput;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958482
