MICROARRAY IMAGE GRIDDING USING GRID LINE REFINEMENT TECHNIQUE

Abstract
An important stage in microarray image analysis is gridding. Microarray image gridding is done to locate sub arrays in a microarray image and find co-ordinates of spots within each sub array. For accurate identification of spots, most of the proposed gridding methods require human intervention. In this paper a fully automatic gridding method which enhances spot intensity in the preprocessing step as per a histogram based threshold method is used. The gridding step finds co-ordinates of spots from horizontal and vertical profile of the image. To correct errors due to the grid line placement, a grid line refinement technique is proposed. The algorithm is applied on different image databases and results are compared based on spot detection accuracy and time. An average spot detection accuracy of 95.06% depicts the proposed method’s flexibility and accuracy in finding the spot co-ordinates for different database images.

Authors
V.G. Biju , P. Mythili
School of Engineering, Cochin University of Science and Technology, India

Keywords
cDNA Microarray, Gridding, Image Processing, Spot Detection, Grid Line Refinement
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 5 , Issue: 4 )
Date of Publication :
May 2015

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