Automated cDNA Microarray Image Segmentation | Zendy

Alan WeeChung Liew | Zendy; Hong Yan | Zendy; Tuan D. Pham | Zendy; Xiaobo Zhou | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Automated cDNA Microarray Image Segmentation

Author(s) -

Alan WeeChung Liew,

Hong Yan,

Tuan D. Pham,

Xiaobo Zhou

Publication year - 2007

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.2816637

Subject(s) - thresholding , computer science , complementary dna , image segmentation , microarray , segmentation , artificial intelligence , pattern recognition (psychology) , microarray databases , dna microarray , gene chip analysis , microarray analysis techniques , image (mathematics) , computer vision , gene , biology , gene expression , genetics

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.Griffith Sciences, School of Information and Communication TechnologyFull Tex

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research