Automated cDNA microarray image segmentation

File Size Format
49699_1.pdf 857Kb Adobe PDF View
Title Automated cDNA microarray image segmentation
Author Liew, Alan Wee-Chung; Yan, Hong
Publication Title Proceedings of the International Symposium on Computational Models for Life Sciences
Editor Tuan Pham & Xiaobo Zhou
Year Published 2007
Place of publication USA
Publisher American Institute of Physics
Abstract cDNA microarray technology enables whole genome study of gene expressions by measuring the differential expression of genes in microarray images. An important first step in analyzing microarray image is the accurate delineation of the cDNA spots in the image. We report here a fully automated spot segmentation algorithm for cDNA microarray images. The algorithm makes use of morphological operations, adaptive multi-level thresholding, and statistical intensity modeling to perform automatic grid addressing and spot segmentation. Our algorithm is robust for even poor quality cDNA microarray images.
Peer Reviewed Yes
Published Yes
Publisher URI http://scitation.aip.org/dbt/dbt.jsp?KEY=APCPCS&Volume=952&Issue=1
Alternative URI http://dx.doi.org/10.1063/1.2816637
Copyright Statement Copyright 2007 American Institute of Physics. The attached file is reproduced here in accordance with the copyright policy of the publisher. Use hypertext link for access to the conference website.
Conference name International Symposium on Computational Models for Life Sciences
Location Gold Coast, Australia
Date From 2007-12-17
Date To 2007-12-19
URI http://hdl.handle.net/10072/18031
Date Accessioned 2008-03-06
Date Available 2009-10-16T05:20:47Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Gene Expression; PRE2009-Image Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice