Microarray Image Processing for Real Time Scanning with Reduced Dimensional Variables

The image processing of microarrays is like analyzing the arrays of gene fragments from the sampled images. In addition, microarrays provide the information about the detection of differences in genome sequences so that they can be used to detect and classify genetic characteristics very precisely. The experiments of microarray analyses can produce huge amounts of data because thousands of genes require to be processed in a single experiment. In order to obtain significant information from the various experiments of microarray, it is necessary to develop a compact and simpler technique, which can handle the large number of data. This paper provides a technique to perform the real time scanning of microarray images using embedded variables with applying multivariate analysis to reduce the dimension of the original images in vertically as well as horizontally.