9 citations · 30 across the 12 of their papers we have counts for
12 papers
EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature
Eric Schwenker, Weixin Jiang, Trevor Spreadbury +3
Due to recent improvements in image resolution and acquisition speed, materials microscopy is experiencing an explosion of published imaging data. The standard publication format,…
A Two-stage Framework for Compound Figure Separation
Weixin Jiang, Eric Schwenker, Trevor Spreadbury +3
Scientific literature contains large volumes of complex, unstructured figures that are compound in nature (i.e. composed of multiple images, graphs, and drawings). Separation of th…
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data
Rafael Vescovi, Hanyu Li, Jeffery Kinnison +5
We present a fully modular and scalable software pipeline for processing electron microscope (EM) images of brain slices into 3D visualization of individual neurons and demonstrate…
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Wushi Dong, Murat Keceli, Rafael Vescovi +9
Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling network (FFN) architecture has demons…
Training on the Edge: The why and the how
Navjot Kukreja, Alena Shilova, Olivier Beaumont +4
Edge computing is the natural progression from Cloud computing, where, instead of collecting all data and processing it centrally, like in a cloud computing environment, we distrib…
Computational multifocal microscopy
Kuan He, Zihao Wang, Xiang Huang +10
Despite recent advances, high performance single-shot 3D microscopy remains an elusive task. By introducing designed diffractive optical elements (DOEs), one is capable of converti…