Methods in Computational Systems Biology

Research Strategy

The research group Biomedical Computer Vision develops methods and algorithms for computer-based analysis of biological and medical images. A main aim is to derive quantitative information about cellular and subcellular structures from microscopy image data. We have developed a wide spectrum of novel advanced image analysis methods for cell segmentation and tracking, particle detection and tracking, non-rigid image registration, vessel segmentation, and landmark localization comprising deep learning methods, model-based methods, and probabilistic methods. Top-ranking results in international competitions on particle and cell tracking were achieved. The developed methods have been successfully used in different applications to study virus infection, cell migration and division, and the genome architecture in cooperation with biomedical partners, particularly with research groups at BioQuant. Our work is important to bridge the gap between experimental image data and quantitative modeling.