There has been a recent emergence of new workflow applications focused on data analytics
and machine learning. This emergence has precipitated a change in the workflow …

As neuroimagery datasets continue to grow in size, the complexity of data analyses can
require a detailed understanding and implementation of systems computer science for …

As neuroscience datasets continue to grow in size, the complexity of data analyses can
require a detailed understanding and implementation of systems computer science for …

The healthy human brain has long been considered a sterile environment, with the blood
brain barrier preventing the formation of a bacterial brain microbiome. Recent electron …

The Neuroscience domain stands out from the field of sciences for its dependence on the
study and characterization of complex, intertwining structures. Understanding the complexity …

Neuroscientists are collecting Electron Microscopy (EM) datasets at increasingly faster rates.
This modality offers an unprecedented map of brain structure at the resolution of individual …

We previously introduced the Neural Reconstruction Integrity (NRI) metric as a measure of
how well the connectivity of the brain is measured in a neural circuit reconstruction, which …

As biological imaging datasets continue to grow in size, extracting information from large
image volumes presents a computationally intensive challenge. State-of-the-art algorithms …