18 citations · 21 across the 6 of their papers we have counts for
8 papers
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
Randal Burns, Eric Perlman, Alex Baden +27
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visual…
Quantifying mesoscale neuroanatomy using X-ray microtomography
Eva L. Dyer, William Gray Roncal, Hugo L. Fernandes +9
Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photo…
An Automated Images-to-Graphs Framework for High Resolution Connectomics
William Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein +8
Reconstructing a map of neuronal connectivity is a critical challenge in contemporary neuroscience. Recent advances in high-throughput serial section electron microscopy (EM) have…
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data
Ayushi Sinha, William Gray Roncal, Narayanan Kasthuri +3
Accurately estimating the wiring diagram of a brain, known as a connectome, at an ultrastructure level is an open research problem. Specifically, precisely tracking neural processe…
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes
Ayushi Sinha, William Gray Roncal, Narayanan Kasthuri +8
In this paper, we present a new pipeline which automatically identifies and annotates axoplasmic reticula, which are small subcellular structures present only in axons. We run our…
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs
Disa Mhembere, William Gray Roncal, Daniel Sussman +6
Graphs are quickly emerging as a leading abstraction for the representation of data. One important application domain originates from an emerging discipline called "connectomics".…