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Informatics colloquium 21. 11. Segmentation and Tracking of Spiky CellsInformatics colloquium 21. 11. 2017, 14:00 lecture hall D2 RNDr. Martin Maška, Ph.D., FI MU Segmentation and Tracking of Spiky Cells Abstract: To monitor their surroundings and to promote their movement, motile cells protrude spikes. Although modern fluorescence microscopy allows us to observe spiky cells at unprecedented spatio-temporal resolutions, a fully 3D image analysis approach to automatically quantifying the behavior of spikes is still lacking. In this talk, we briefly explain crucial aspects of such a quantitative task and present our recent advances in the field, demonstrating how convolutional neural networks combined with realistic computer-generated image data help to increase segmentation and tracking performance beyond that of traditional image analysis approaches without machine learning.