We investigate the fundamental cell biological question how curvature-dependent self-organization impacts single and collective cell dynamics. To examine formation and function of curvature-induced signaling circuits, we employ cellular (e.g. neurons, immune cells and vascular cells) and biomimetic model systems that we analyze using advanced microscopy (e.g. lattice light-sheet microscopy, correlative light-electron microscopy, super-resolution microscopy), quantitative image analysis, nanomaterials, biophysical approaches, and numerical modelling. Our ultimate goal is to determine the core principles through which curvature-dependent self-organization regulates cellular physiology and development in health and disease.
Cells in Motion: www.uni-muenster.de/Cells-in-Motion/people/all/galic-m.php
CRC 1348: http://sfb1348.uni-muenster.de/
CRC 1450: https://www.uni-muenster.de/CRC-inSight/
CIM-IMPRS: Graduiertenschule: www.imprs-mbm-cedad.mpg.de/index.php