Nonlinear elasticity of skin tissues and somatosensory neural responses are combined to predict and test C. elegans processing of touch stimuli and modifications due to changes in the body mechanics.
KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.
A cell-sized fully confined space significantly controls the emergence and stability of a protein wave, resulting in intracellular spatiotemporal regulation driven by a reaction-diffusion mechanism.
In a developing yeast colony, cells go from homogeneous states to spatially organized, specialized metabolic states, and the new metabolic states depend on resources produced by the original state.
Analysis of published studies reveals that flagellates and ciliates separately exhibit log-normal distributions of swimming speeds, and rescaling by the mean speed of each collapses them to a universal relationship.
Robust wrinkling pattern of the frilled dragon’s spectacular erectile ruff emerges from an elastic instability during homogeneous growth of the embryonic neck fold frustrated by its attachment to adjacent tissues.
The ability to follow single objects in 3D in a living organism with high spatiotemporal resolution opens new possibilities for quantitative biophysical studies of complex systems in their physiological context.
