Robust adaptive spot segmentation of DNA microarray images

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1251-1254
Journal / PublicationPattern Recognition
Volume36
Issue number5
Publication statusPublished - May 2003

Abstract

The rapid advancement of DNA chip (microarray) technology has revolutionalized genetic research in bioscience. However, the enormous amount ofdata produced from a microarray image makes automatic computer analysis indispensable. An important first step in analyzing microarray image is the accurate determination ofthe DNA spots in the image. We report here a novel spot segmentation method for DNA microarray images. The algorithm makes use of adaptive thresholding and statistical intensity modeling to: (i) generate the grid structure automatically, where each subregion in the grid contains only one spot, and (ii) to segment the spot, if any, within each subregion. The algorithm is fully automatic, robust, and can aid in the high throughput computer analysis ofmicroarray data. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Research Area(s)

  • Adaptive segmentation, DNA chip, DNA microarray

Citation Format(s)

Robust adaptive spot segmentation of DNA microarray images. / Wee-Chung Liew, Alan; Yan, Hong; Yang, Mengsu.
In: Pattern Recognition, Vol. 36, No. 5, 05.2003, p. 1251-1254.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review