An Automated and Efficient Approach for Spot Identification of Microarray Images Using X-Covariance

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 14)

Abstract

Addressing the location of the spots is the prime step in microarray investigation. Microarray spots are useful in determining the differential gene expression of given sample. Cross covariance method is used to correlate the known and unknown spot in microarray images. Before applying gridding method, noise correction of the image is performed. Both white tophat and black tophat transform by morphological open are applied on acquired image to remove small artifacts and noise which are present in foreground of the image. In this article, a novel technique for spot identification of microarray images using statistical method of cross covariance is proposed. The present work is found to be accurate when compared to the methods in existing literature.

Keywords

Microarray Gridding Refinement Mathematical morphology Cross covariance 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Dayananda Sagar Academy of Technology and ManagementBengaluruIndia

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