Till Bretschneider
My main research interest is to understand principles of self-organisation in animal cell motion. We use a combined approach based on computational modelling and quantitative imaging to address problems ranging from the multicellular to the molecular level.
Examples of current projects are Blebbing in Dictyostelium, Cell movements during early chick development, and validation of mathematical models for cell orientation. Software we develop include our widely-used QuimP software for correlating cortical cell fluorescence with membrane movements, and LineageTracker, a multi feature cell tracker which allows to incorporate time-varying features to detect cell divisions.
CellTracker is specifically dedicated to measuring periodic nuclear-cytoplasmic translocations of transcription factors. Current focus is on extending these methods to 3D and most recently we started to develop novel methods for GPU based real time processing of light sheet microscopy data.
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