A data-adaptive approach to cDNA microarray image enhancement

Abstract

A data-adaptive approach for cDNA microarray image enhancement is presented. Through the weighting coefficients adaptively determined from local microarray image statistics, the proposed technique tunes the overall filter's detail-preserving and noise-attenuating characteristics and uses both the spatial and spectral correlation of the cDNA image during processing. Noise removal is performed by tuning a membership function which utilizes the aggregated absolute differences between the cDNA microarray inputs localized within a processing window sliding over the image. © Springer-Verlag Berlin Heidelberg 2005.