Robust Adaptive Spot Segmentation of DNA Microarray Images
Author(s)
Liew, AWC
Yan, H
Yang, MS
Griffith University Author(s)
Year published
2003
Metadata
Show full item recordAbstract
The rapid advancement ofDNA 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 3rst 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 ...
View more >The rapid advancement ofDNA 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 3rst 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, ifany, within each subregion. The algorithm is fully automatic, robust, and can aid in the high throughput computer analysis ofmicroarray data.
View less >
View more >The rapid advancement ofDNA 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 3rst 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, ifany, within each subregion. The algorithm is fully automatic, robust, and can aid in the high throughput computer analysis ofmicroarray data.
View less >
Journal Title
Pattern Recognition
Volume
36
Issue
5
Publisher URI
Subject
Artificial Intelligence and Image Processing
Information Systems
Electrical and Electronic Engineering