A NOVEL APPROACH FOR MICROARRAY SPOT SEGMENTATION & DETECTION USING FOUR SHAPED MATHEMATICAL MORPHOLOGY

Microarray is new techniques to investigate the expression levels of thousands of genes simultaneously. Image analysis is an important aspect of microarray experiments, one, which can have a potentially large impact on subsequent analysis such as clustering or the identification of differentially expressed genes. Microarray image spot position & size 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 correct spot detection and automatic counting. Overcome it by using flat structuring element (disk, diamond, square and octagon shaped) morphological segmentation technique, which gives satisfied results. And also we compare the original & resultant image results on the basis of different image quality measure.