Title :
Feature analysis and classification of chromosome 16 homologs using fluorescence microscopy images
Author :
Mousavi, Parvin ; Ward, Rabab K. ; Lansdorp, Peter M.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
Image processing techniques used to classify human chromosome 16 into two classes of parental homologs are described. The classification is accomplished using DNA probes and detecting intensity differences in homologs of chromosome 16. The classification of homologous chromosomes into maternal and paternal classes is essential to advanced studies of cancer genetics.
Keywords :
DNA; biological techniques; biology computing; cancer; cellular biophysics; feature extraction; fluorescence spectroscopy; genetics; image classification; medical image processing; optical microscopy; DNA probes; cancer genetics; chromosome 16 homologs; classification; feature analysis; fluorescence microscopy images; human chromosome 16; intensity differences; maternal class; parental homologs; paternal class; Biological cells; Cancer; Fluorescence; Humans; Image analysis; Image processing; Information analysis; Laboratories; Optical microscopy; Probes;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808082
