A novel image processing infrastructure that is capable of processing petascale datasets and can operate on both electron and light microscopy data.

cisTEM enables fast processing of single-particle cryo-EM data on CPU-based workstations and is easily accessible to new users.

A freely available software environment on Amazon's cloud computing network makes processing of cryo-EM data accessible and affordable.

During embryonic development, tissue stiffness, which provides an important signal to motile cells, changes locally within tens of minutes in a well-controlled manner.

Single-molecule tracking at scale, analyzing millions of cells and thousands of compounds per day, demonstrates that measuring protein motion provides mechanistic insights relevant to drug discovery.

Learning produces dynamic white matter volumetric changes in the rodent brain observed by voxel-based morphometry on longitudinal structural MRI for which estimated white matter volume reflects adaptive myelination in the cortex.

Building on recent findings that central sensory processing allocates resources according to the informativeness of statistical features (Hermundstad et al., 2014), we identify visual area V2 as the site of the relevant computations for local image statistics, thus providing a common underpinning for diverse aspects of its neuronal selectivity.

A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.

Reducing visibility with higher image presentation rates increases recurrent processing demands along the visual processing pathway to resolve object recognition.

Open-top Bessel beam two-photon light sheet microscopy have the potential for rapid and accurate nondestructive pathology by visualizing 3D histological information.