Cofilin is best known for its ability to sever actin filaments and facilitate cytoskeletal recycling
inside of cells, but at higher concentrations in vitro, cofilin stabilizes a more flexible, hyper-…

Cryo-electron tomography (cryo-ET) allows researchers to image cells in their native, hydrated
state at the highest resolution currently possible. The technique has several limitations, …

Deep learning excels at cryo-tomographic image restoration and segmentation tasks but is
hindered by a lack of training data. Here we introduce cryo-TomoSim (CTS), a MATLAB-…

Cryo-electron tomography (cryoET) provides the highest resolution structural biology findings
on cells in a hydrated state, but thorough interpretation of these large noisy image volumes …

Cryo-electron tomography is a rapidly expanding field of microscopy investigation, from
subtomogram averaging to cellular tomography. This range of applications leads to highly varied …

Cryo-electron tomography has seen an explosion in growth due to recent advances in
resolution, preparation workflows, and availability of TEM microscopes. Yet, these leaps in data …

Filopodia are actin-rich cytoskeletal protrusions at the leading edge of motile cells. In neuronal
growth cones they function as antennae, guiding axonal growth toward the appropriate …

Developing neurons have a highly dynamic structure at the tip of growing axons, the growth
cone, that guides the neuron to its synaptic target. Rapid remodeling of actin filaments and …

Convolutional neural networks (CNNs) have demonstrated tremendous capacity for object
classification and labeling, image denoising, and image segmentation tasks in demanding …

In the brain, proper neural circuits are built by the directed growth of nascent axons and
dendrites towards their eventual synaptic partners through a process termed neurite guidance. …