Abstract
Microarray is one of the most recent and important technology for exploring the genome [1,2]. Image analysis is an important role of microarray experiments, one, which can have a potentially large impact on subsequent analysis such as clustering or the identification of differentially expressed genes [3]. Microarray image grid and spot position determination is a very important step in the analysis of microarray image because it is the first part we need to do for the analysis. By comparing gene expression in normal and abnormal cells, microarrays may be used to identify genes, which are involved in particular diseases. These genes may then be targeted by therapeutic drug. Making this part automated and fast is also important. So we consider this as indeed problem of spot detection and overcome it by using flat structuring element disk-diamond shaped morphological technique, which gives satisfied results. And also we compare the original &resultant image results on the basis of image quality measure [4]. KeywordsMicroarray, flat structuring element, morphology, segmentation, spot detection
Highlights
The Analysis of microarray gene expression data involves many steps, the initial step consist of extracting the gene expression data from the microarray image, and include spot localization or gridding, foreground and background separation, intensity extraction [3]
DNA microarray can be used to characterize the cellular differences between different responses and between different tissue types, such as between normal cells and cancer cells, or between cancers with different responses to treatment, or between control cells and cells treated with a particular drug
Result and Discussion: In this paper, we have applied new morphological technique to determine the spot by segmenting the background and noisy region of the image, which gets spot identification easy as well as we can observe the increase in number of spot
Summary
The Analysis of microarray gene expression data involves many steps, the initial step consist of extracting the gene expression data from the microarray image, and include spot localization or gridding, foreground and background separation, intensity extraction [3]. These stages are quite important, since accuracy of the resulting data is essential in posterior analysis [5]. One of the major challenges of this approach is the image-processing phase The purpose of this step is to extract each spotted DNA sequence as well as to obtain background estimates and quality measures [6]. Compare disk and diamond shaped structuring element and calculate the statistical parameters of original and resultant image our results are visibly and statistically more good and clear
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