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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
9 papers · 1 filter
Liquid Crystals on Deformable Surfaces
Ingo Nitschke, Sebastian Reuther, Axel Voigt
Liquid crystals with molecules constrained to the tangent bundle of a curved surface show interesting phenomena resulting from the tight coupling of the elastic and bulk free energ…
Liquid phase separation controlled by pH
Omar Adame-Arana, Christoph A. Weber, Vasily Zaburdaev +2
We present a minimal model to study liquid phase separation in a fixed pH ensemble. The model describes a mixture composed of macromolecules that exist in three different charge st…
The gift of gab: probing the limits of dynamic concentration-sensing across a network of communicating cells
Mohammadreza Bahadorian, Christoph Zechner, Carl Modes
Many systems in biology and beyond employ collaborative, collective communication strategies for improved efficiency and adaptive benefit. One such paradigm of particular interest…
How to Pare a Pair: Topology Control and Pruning in Intertwined Complex Networks
Felix Kramer, Carl D. Modes
Recent work on self-organized remodeling of vasculature in slime-mold, leaf venation systems and vessel systems in vertebrates has put forward a plethora of potential adaptation me…
Universality of clone dynamics during tissue development
Steffen Rulands, Fabienne Lescroart, Samira Chabab +7
The emergence of complex organs is driven by the coordinated proliferation, migration and differentiation of precursor cells. The fate behaviour of these cells is reflected in the…
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull, Tomas Vicar, Florian Jug
Today, Convolutional Neural Networks (CNNs) are the leading method for image denoising. They are traditionally trained on pairs of images, which are often hard to obtain for practi…