Wolfgang Losert

This study uses agent-based models to analyze how normal and cancer cells respond to shear stress, finding that heterogeneity in stiffness and activity leads to non-affine movements.

This study compares network-level calcium dynamics in two in vitro Alzheimer's disease models, finding differences in hyperactivity and cell cooperation between familial AD and an accelerated model.

This study shows that estradiol changes actin and protrusion dynamics in endometriotic epithelial cells, promoting a more elongated morphology and disordered actin flow after 24 hours of treatment.

This study identifies two spatially distinct myosin II architectures in neutrophils that coordinate protrusion dynamics and directional persistence during migration.

This study examines how 370 nm UV light increases ROS in human neural progenitor cells and affects calcium dynamics without signaling to non-illuminated cells.

This study examines how nanotopography influences actin wave dynamics and neurite navigation in developing neurons, showing reduced responsiveness to physical cues as neurons mature.

This paper develops a tissue-engineered model to study how physical cues like stiffness and axonal diameter affect oligodendrocyte myelination, finding that softer substrates promote differentiation while rigid ones maintain mature states.

This study shows that neuronal groups can achieve significant plasticity with 45 stimuli when balancing pulse duration and photostimulation effectiveness, highlighting the role of background activity in network-level Hebbian learning.

The paper investigates the role of Ena/VASP proteins in axon growth by analyzing filopodial morphology and actin organization in Drosophila neurons.

NeuroWRAP integrates and evaluates multiphoton calcium imaging analysis workflows to improve reproducibility and collaboration by combining existing algorithms and enabling custom workflows.

This study investigates how environmental cues influence actin dynamics in astrocytes, revealing hotspot regions that respond to homeostatic challenges and are affected by substrate topography and neuronal co-culture.

RefCell analyzes image-based HTS data by identifying typical cells in reference states to assess deviations from typical behavior in perturbations or samples.

CytoBinning provides an automated method to analyze high-dimensional single-cell data, producing 2D scatter plots that match manual analyses and generate new hypotheses.

The paper introduces a motion correction method for two-photon imaging of neuronal activity using particle tracking to compensate for movement artifacts in awake mice.

svclassify classifies structural variants as true or false positives using multi-technology annotations, achieving high concordance with PCR validation and MetaSV.