26 citations · 26 across the 3 of their papers we have counts for
4 papers
Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging
John W. Hickey, Elizabeth K. Neumann, Andrea J. Radtke +21
Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of the…
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment
Adam Michaleas, Lars A. Gjesteby, Michael Snyder +10
This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluat…
Self-Supervised Feature Extraction for 3D Axon Segmentation
Tzofi Klinghoffer, Peter Morales, Young-Gyun Park +3
Existing learning-based methods to automatically trace axons in 3D brain imagery often rely on manually annotated segmentation labels. Labeling is a labor-intensive process and is…
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience
Randal Burns, William Gray Roncal, Dean Kleissas +17
We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for t…