Robust pre-processing and noise reduction in microarray images

Authors:
Mastrogianni Aikaterini;Dermatas Evangelos;Bezerianos Anastasios
Affiliations:
Dept. of Electrical Engineering and Computer Technology, University of Patras, Hellas;Dept. of Electrical Engineering and Computer Technology, University of Patras, Hellas;Dept. of Medical Physics, School of Medicine, University of Patras, Hellas
Venue:
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Year:
2007

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Abstract

In this paper, a microarray image enhancement of cDNA microarray images using a novel two-level denoising technique and automatic addressing is presented. This study shows that robust denoising, based on wavelet decomposition and spot detection, can be used successfully to remove the noise from microarray images. In addition, this paper introduces a fully automatic gridding method which permits a high throughput analysis, taking into account the subarray alignment problem. The method has been found to effectively detect the grids on microarrays images, containing 99 subarrays of gene expression profiles of all types of human lymphoid malignancies.