Automating the processing of cDNA microarray images

This work is concerned with the development of an automatic image processing tool for DNA microarray images. This paper proposes, implements and tests a new tool for cDNA image analysis. The DNAs are imaged as thousands of circularly shaped objects (spots) on the microarray image and the purpose of this tool is to correctly address their location, segment the pixels belonging to spots and extract the quality features of each spot. Techniques used for addressing, segmentation and feature extraction of spots are described in detail. The results obtained with the proposed tool are systematically compared with conventional cDNA microarray analysis software tools

Hybrid symbiotic genetic . . .

This work proposes a novelalglcDSj forperforming robust feature-basedstereo-matching without theordering constraint. The calculation of the disparity map is decomposed to a set of disjoint intra-row subproblems, each one having two objectives: the search for ahig con"den e intra-row mathing and the enfor ement of "gjOB ontinuity at the inter-row level. A separategpara algratec (GA) is allo ated at ea h epipolar to sear h the feasible solution spa e. All GAs evolve parallely in a symbioti fashion and ontinuously exhang urrently available solution information to enable optimisation of "gDwB ontinuity. To a elerate the sear h, we adapt a deterministi solver to seed the GAs and desig problem-spe i"gDwOA operators for greater efficiency