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- Technische Universität DresdenDE86 papers
- Max Planck Institute for the Physics of Complex SystemsDE66 papers
- Max Planck Institute of Molecular Cell Biology and GeneticsDE64 papers
- Physics of LifeDE46 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Sorbonne UniversitéFR11 papers
- Université Paris Sciences et LettresFR9 papers
- Biotechnologisches ZentrumDE8 papers
- Dresden Center for Computational Materials ScienceDE7 papers
- Institut CurieFR7 papers
- Physique des Cellules et CancersFR7 papers
- Princeton UniversityUS7 papers
15 papers · 1 filter
Topological and geometrical quantities in active cellular structures
Dennis Wenzel, Simon Praetorius, Axel Voigt
Topological and geometrical properties and the associated topological defects find a rapidly growing interest in studying the interplay between mechanics and the collective behavio…
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull, Tim-Oliver Buchholz, Florian Jug
The field of image denoising is currently dominated by discriminative deep learning methods that are trained on pairs of noisy input and clean target images. Recently it has been s…
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino +1
Multiple approaches to use deep learning for image restoration have recently been proposed. Training such approaches requires well registered pairs of high and low quality images.…
A lattice Boltzmann method for thin liquid film hydrodynamics
Stefan Zitz, Andrea Scagliarini, Suryanarayana Maddu Kondaiah +2
We propose a novel approach to the numerical simulation of thin film flows, based on the lattice Boltzmann method. We outline the basic features of the method, show in which limits…
Salt-dependent rheology and surface tension of protein condensates using optical traps
Louise M. Jawerth, Mahdiye Ijavi, Martine Ruer +5
An increasing number of proteins with intrinsically disordered domains have been shown to phase separate in buffer to form liquid-like phases. These protein condensates serve as si…
A finite element approach for vector- and tensor-valued surface PDEs
Michael Nestler, Ingo Nitschke, Axel Voigt
We derive a Cartesian componentwise description of the covariant derivative of tangential tensor fields of any degree on general manifolds. This allows to reformulate any vector- a…