Translational Neuroscience

Computational and Theoretical Biology

Prof. Dr. Philip Kollmannsberger

Research focus

We develop and apply computational methods for automated image and network analysis, aiming towards a quantitative understanding of multicellular interactions in neuronal and other tissues. Our approach includes for example segmentation of synaptic structures from electron microscopic images using deep learning, clustering of neuronal proteins from 3D superresolution microscopy, and the analysis of network structure and dynamics both in vitro in 3D tissue culture as well as in vivo. Based on the quantitative information from such large-scale image data, we develop theoretical models and generate new hypotheses on the structure and function of complex biological networks on all scales.