PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Efficient Gridding of Real Microarray Images
Giuseppe Lipori
In: BPC 2005, 13-14 Sep 2005, Barcelona, Spain.

Abstract

Abstract. DNA microarrays technology is very recent and rapidly evolving. At present, it is widely used in the analysis of gene expression. The interpretation of the data crucially depends on the accuracy of the localization of the circular spots, which are placed in rectangular grids. The problem is complicated by the presence of many local deformations of the grid, by the high variability in luminance of the spots, by noise and other disturbances due to the biological nature of the experiments. In this paper we implement an automatic method for the gridding of real microarrays that takes into account most of the open problems by exploiting a recently introduced image transform, the Orientation Matching Transform, which enhances circular patterns of a specific size.

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EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:1281
Deposited By:Stefano Arca
Deposited On:28 November 2005