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Levels of Biological Organisation: Single cells

These experience active stresses and processes that generate motility, driving them out of equilibrium with their environment.

Related PhD Projects

Research Project: Bayesian inference of active Brownian motion

For the study of motile cells and other self-propelled particles it is often key to extract quantitative features from trajectories of these particles, both to quantify experimental trajectories and to parametrise theoretical models.

University of Göttingen, Germany
Long-range velocity correlations in active matter from active dopants.  Credit: Abbaspour et al

Research Project: Dense active matter and the cage escape dynamics of active particles

Passive particles form amorphous solids or glasses at high densities. The same is true of active particles that model living matter such as confluent tissues.

University of Göttingen, Germany
Credit: Torben Sunkel

Research Project: Elucidating the role of mechano-signalling feedback in dense cellular collectives

Collective tissue behaviour is inherently a multiscale phenomenon that is governed by complex biochemical and mechanical processes occurring simultaneously at the molecular, cellular, and tissue scales.

TU Eindhoven, The Netherlands
Credit: Lukas Hupe

Research Project: Proliferating active media

While active matter theory has successfully advanced our understanding of the collective dynamics resulting from individual sources of activity, multiple active processes usually act in concert in real biological systems.

Max-Planck Institute for Dynamics and Self-Organization/University of Göttingen, Germany
Statistical mechanics of motility and growth within extracellular matrices. Credit: Chinmay Pabshettiwar

Research Project: Statistical mechanics of motility and growth within extracellular matrices

Collective cellular activity and self-organisation phenomena arising from non-equilibrium activity are ubiquitous in tissues and cellular aggregates. However, the relationship between individual properties and biological patterns remains unexplored.

The University of Leiden, The Netherlands