Skip to content Skip to footer

Simulating tissue dynamics with cellular Potts models

Activity: Organising or participating in an eventOrganising an event

Persons and affiliations


18 Dec 202322 Dec 2023


Just over 30 years ago, the cellular Potts model (CPM) was introduced to explain experimental observations of spontaneous cell sorting in embryonic tissue cultures. In the years since, the CPM evolved into a powerful model framework for simulating a wide range of physical and biological processes – from foam physics to tissue development, cancer growth, angiogenesis, plant development, evolution, immune responses, and cell migration. Having just celebrated the 30th birthday of the CPM, now is a great time to look back on the progress made, (re-)evaluate the major hurdles in the field and lay out a roadmap for the next 30 years of CPM research.

This workshop will bring together a broad CPM community ranging from end-users (including computational and experimental biologists) to researchers tackling the fundamentals (mathematicians, computational physicists), as well developers of software tools. The workshop will also reunite the original developers of the CPM, who can provide a unique view on the history of this simple yet powerful modelling framework.

Sessions and discussions will focus on the following topics:

- History of the CPM: lessons learned from 30 years of CPM research
- Applications in the fields of cell migration, evolution, and development
- Mathematics and theory of CPMs
- Combining CPMs and machine learning
- Software and model sharing
- The future of CPMs

Both new and experienced users of the CPM are encouraged to apply. The workshop aims to establish connections between members of the CPM community to foster future collaborations.


TitleSimulating tissue dynamics with cellular Potts models
Duration18 - 22 December 2023
Degree of recognitionInternational event
LocationLorentz Center@Oort


Research priority areas of TU Dresden


  • Morpheus, Computational Modeling and Simulation, Systembiologie, Modellierung, tissue dynamics, Zellularer Ansatz