Search Results for author: Gerhard Gompper

Found 4 papers, 1 papers with code

A Bayesian traction force microscopy method with automated denoising in a user-friendly software package

no code implementations4 May 2020 Yunfei Huang, Gerhard Gompper, Benedikt Sabass

Adherent biological cells generate traction forces on a substrate that play a central role for migration, mechanosensing, differentiation, and collective behavior.

Denoising L2 Regularization

Instability and fingering of interfaces in growing tissue

no code implementations10 Mar 2020 Tobias Büscher, Angel L. Diez, Gerhard Gompper, Jens Elgeti

For propagation driven by a difference in homeostatic stress, the interface is stable for tissue-specific substrate friction even for very large differences of homeostatic stress; however, it becomes unstable above a critical stress difference when the tissue with the larger homeostatic stress has a higher viscosity.

Friction

Sculpting vesicles with active particles: Less is more

no code implementations6 Nov 2019 Hanumantha Rao Vutukuri, Masoud Hoore, Clara Abaurrea-Velasco, Lennard van Buren, Alessandro Dutto, Thorsten Auth, Dmitry A. Fedosov, Gerhard Gompper, Jan Vermant

Biological cells are able to generate intricate structures and respond to external stimuli, sculpting their membrane from within.

Soft Condensed Matter Materials Science Biological Physics

Traction force microscopy with optimized regularization and automated Bayesian parameter selection for comparing cells

1 code implementation13 Oct 2018 Yunfei Huang, Christoph Schell, Tobias B. Huber, Ahmet N. Simsek, Nils Hersch, Rudolf Merkel, Gerhard Gompper, Benedikt Sabass

Using artificial data and experimental data, we show that these methods enable robust reconstruction of traction without requiring a difficult selection of regularization parameters specifically for each data set.

Biological Physics Cell Behavior Quantitative Methods

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