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Microarray images exhibited good and reproducible quality parameters in both channels.
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All images exhibit a rough surface.
The first step is the analysis of scanned microarray images.
The segmentation of cDNA microarray spots is essential in analyzing the intensities of microarray images for biological and medical investigation.
This paper presents a Decision-Based cDNA Microarray Image filter for the removal of impulse noises for complementary deoxyribonucleic acid (cDNA) microarray images.
In this paper, we propose two automated methods for analyzing microarray images.
In this work, nonparametric methods using kernel density estimation are applied to segment two-channel cDNA microarray images.
Microarray grid alignment and foreground separation are the basic processing steps of DNA microarray images that affect the quality of gene expression information, and hence impact our confidence in any data-derived biological conclusions.
Microarray images were acquired by GSC 3000 laser scanner (Affymetrix).
Microarray images were analyzed with the BioDiscovery Imagene software package.
Microarray images were analyzed using Quantarray v3.0 software (PerkinElmer).
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