An image analysis suite for spot detection and spot matching in two-dimensional electrophoresis gels.

@article{citeulike:2801093, abstract = {We propose a suite of novel algorithms for image analysis of protein expression images obtained from 2-D electrophoresis. These algorithms are a segmentation algorithm for protein spot identification, and an algorithm for matching protein spots from two corresponding images for differential expression study. The proposed segmentation algorithm employs the watershed transformation, k-means analysis, and distance transform to locate the centroids and to extract the regions of the proteins spots. The proposed spot matching algorithm is an integration of the hierarchical-based and optimization-based methods. The hierarchical method is first used to find corresponding pairs of protein spots satisfying the local cross-correlation and overlapping constraints. The matching energy function based on local structure similarity, image similarity, and spatial constraints is then formulated and optimized. Our new algorithm suite has been extensively tested on synthetic and actual 2-D gel images from various biological experiments, and in quantitative comparisons with ImageMaster2D Platinum the proposed algorithms exhibit better spot detection and spot matching.}, address = {Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand. thitiwan.s@ku.ac.th}, author = {Srinark, T. and Kambhamettu, C. }, citeulike-article-id = {2801093}, doi = {10.1002/elps.200700244}, issn = {0173-0835}, journal = {Electrophoresis}, keywords = {2dge}, month = {February}, number = {3}, pages = {706--715}, posted-at = {2008-05-16 02:31:06}, priority = {2}, title = {An image analysis suite for spot detection and spot matching in two-dimensional electrophoresis gels.}, url = {http://dx.doi.org/10.1002/elps.200700244}, volume = {29}, year = {2008} }

TY - JOUR ID - citeulike:2801093 L3 - citeulike-article-id:2801093 TI - An image analysis suite for spot detection and spot matching in two-dimensional electrophoresis gels. JF - Electrophoresis VL - 29 IS - 3 SP - 706 EP - 715 AD - Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand. thitiwan.s@ku.ac.th SN - 0173-0835 N2 - We propose a suite of novel algorithms for image analysis of protein expression images obtained from 2-D electrophoresis. These algorithms are a segmentation algorithm for protein spot identification, and an algorithm for matching protein spots from two corresponding images for differential expression study. The proposed segmentation algorithm employs the watershed transformation, k-means analysis, and distance transform to locate the centroids and to extract the regions of the proteins spots. The proposed spot matching algorithm is an integration of the hierarchical-based and optimization-based methods. The hierarchical method is first used to find corresponding pairs of protein spots satisfying the local cross-correlation and overlapping constraints. The matching energy function based on local structure similarity, image similarity, and spatial constraints is then formulated and optimized. Our new algorithm suite has been extensively tested on synthetic and actual 2-D gel images from various biological experiments, and in quantitative comparisons with ImageMaster2D Platinum the proposed algorithms exhibit better spot detection and spot matching. KW - 2dge AU - Srinark, T AU - Kambhamettu, C PY - 2008/02// UR - http://dx.doi.org/10.1002/elps.200700244 ER -