By Topic

Robust cDNA microarray image processing on a hand-held device

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
P. Gomez ; Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain. ; F. Diaz ; B. Belean ; R. Malutan
more authors

Genetic microarray image processing has become an important field of research to produce tools aiming to reliable gene expression estimation. Current instrumentation to analyze microarray images lacks flexibility, portability and accuracy. In the present paper an FPGA-based hand-held device for the analysis of microarrays is described, which may implement basic scanning and reticle algorithms to estimate spots and expression levels in cDNA microarrays. The algorithms are based on global and local spot correlation, background removal and rectangular mask fitting. These algorithms can be recursively applied and are intrinsically parallelizable for practical implementation purposes. Results using specific microarray images are shown

Published in:

2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)

Date of Conference:

20-22 Sept. 2006