DocumentCode
1860154
Title
Automated analysis of gene-microarray images
Author
Bowman, Christopher ; Baumgartner, Richard ; Booth, Stephanie
Author_Institution
Inst. for Biodiagnostics, Nat. Res. Council of Canada, Winnipeg, Man., Canada
Volume
2
fYear
2002
fDate
2002
Firstpage
1140
Abstract
cDNA micro-arrays are a relatively new technology that allow the viewing of gene expression of many genes (or other DNA fragments) simultaneously. The output of a micro-array experiment is a pair of digital images, each of which show thousands of individual spots. This paper introduces a novel, operator independent, and reproducible algorithm for determining the relative intensities of these spots. This method permits high throughput analysis of micro-array images, which is very desirable given the volume of data collected. This algorithm for automated spot location makes use of the regular structure of the images to produce an initial approximation of spot location, which is then iteratively refined. The algorithm will be tested on micro-array images produced at the Canadian Centre for Human and Animal Health, as well as on publicly available micro-array images.
Keywords
DNA; biology computing; genetics; image segmentation; medical image processing; DNA fragments; automated analysis; automated spot location; biomedical research; cDNA micro-arrays; digital images; gene expression; gene-microarray images; high throughput analysis; individual spots; initial approximation; iterative refinement; operator independent algorithm; regular structure; relative intensities; reproducible algorithm; spot location; Animal structures; Approximation algorithms; DNA; Digital images; Gene expression; Image analysis; Iterative algorithms; Refining; Testing; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-7514-9
Type
conf
DOI
10.1109/CCECE.2002.1013108
Filename
1013108
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