We study the role of geometry, mechanotransduction and extracellular matrix for cellular self-organization during tissue development and regeneration.
We develop and apply image segmentation and quantification techniques to study cellular interaction and tissue architecture during growth and regenration.
We use agent-based modeling to understand the relationship between local cell behaviour and global tissue properties.
Code and Data
MATLAB code and data to generate the figures in the paper "Tensile forces drive a reversible fibroblast-to-myofibroblast transition during tissue growth in engineered clefts" (Kollmannsberger et al, Sci Adv 2018):
If you are interested in the raw image stacks (> 6 GB) and the MATLAB routines of the complete analysis pipeline, please send me an email.