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Informatics colloquium 20. 3. Image analysis and synthesis in the context of cell trackingInformatics colloquium 20. 3. 2018, 14:00 lecture hall D2 RNDr. Vladimír Ulman, Ph.D., FI MU Abstract: The present biomedical research increasingly relies on automated processing and analysis of large amount of image data. Two fundamental tasks in this area are automated cell segmentation and tracking. The task of cell segmentation is to split the image into several disjoint regions, each accurately outlining every single cell. The task of cell tracking is to link together the regions that represent the same cell in a time-lapse image sequence. This allows for time-resolved quantitative description of events and changes in displayed cell behaviour. Needless to say, the accuracy of the two tasks influences accuracy of the consequent biological analysis. This talk will be focused on ways to evaluate performance quality of segmentation and tracking algorithms. In particular, I will review the evaluation protocol implemented in the Cell Tracking Challenge, an international benchmarking initiative that FI MU is part of, and identify current challenges in the field. Last but not least, I will give an outlook on a artificial image synthesis, which I see as a prospective way to foster the future development in the field.