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 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/18031
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