Authors: Naima Kaabouch,Hamid Shahbazkia
ArXiv: 1607.00592
Document:
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DOI
Abstract URL: http://arxiv.org/abs/1607.00592v1
Microarray is considered an important instrument and powerful new technology
for large-scale gene sequence and gene expression analysis. One of the major
challenges of this technique is the image processing phase. The accuracy of
this phase has an important impact on the accuracy and effectiveness of the
subsequent gene expression and identification analysis. The processing can be
organized mainly into four steps: gridding, spot isolation, segmentation, and
quantification. Although several commercial software packages are now
available, microarray image analysis still requires some intervention by the
user, and thus a certain level of image processing expertise. This paper
describes and compares four techniques that perform automatic gridding and spot
isolation. The proposed techniques are based on template matching technique,
standard deviation, sum, and derivative of these profiles. Experimental results
show that the accuracy of the derivative of the sum profile is highly accurate
compared to other techniques for good and poor quality microarray images.