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

Volume

2

fYear

1999

fDate

9-12 May 1999

Firstpage

841

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on

Conference_Location

Edmonton, Alberta, Canada

ISSN

0840-7789

Print_ISBN

0-7803-5579-2

Type

conf

DOI

10.1109/CCECE.1999.808082

Filename

808082