Center for Computational and Theoretical Biology


We use image analysis, topological quantification and growth modeling to understand the mechanisms behind the development and function of spatial biological networks.


Image Analysis

We develop novel methods to extract curvilinear structures from 3D microscopy images, and to derive their skeleton and topological structure.


By simulating the growth of spatial networks under different assumptions, we want to understand the relationship between local growth rules and global network connectivity.