Tracking and Registration for Multidimensional Biomedical Image Analysis
K. Rohr, W. J. Godinez, N. Harder, I-H. Kim, S. Wörz, S. Yang and R. Eils
University of Heidelberg, BIOQUANT, IPMB, and German Cancer Research Center (DKFZ) Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group (BMCV) Im Neuenheimer Feld 267, D-69120 Heidelberg, Germany
The analysis of high-content multidimensional biomedical images requires the application of different techniques. We have developed a tracking approach to determine the trajectories of cells from fluorescence microscopy image sequences, which is particularly suited to cope with splitting cells. In conjunction with segmentation and classification schemes the aim is to study the influence of genes on the process of cell division and thus to identify gene function. We have also developed registration methods which enable to geometrically align corresponding image data. Our approaches can cope with elastic (non-rigid) deformations between images and have been applied for the registration of cell microscopy images and gel electrophoresis images.