About Us
We are a team of research scientists and engineers from the Johns Hopkins Applied Physics Laboratory that developed NeuVue.
NeuVue is a software platform created for large-scale proofreading of machine segmentation and neural circuit reconstruction in high-resolution electron microscopy connectomics datasets. NeuVue provides an intuitive interface for proofreaders to collaboratively view, annotate, and edit segmentation and connectivity data.
NeuVue has everything needed for a high-throughput proofreading workflow: analytical dashboards, data visualization tools, and a simple API that gives stakeholders real-time access to proofreading progress at both individual and global reconstruction levels. NeuVue is intentionally agnostic to the underlying data management backend and can be deployed in an AWS environment.
This research was enabled by the IARPA Machine Intelligence from Cortical Networks (MICrONS) program. Learn more about MICrONS.
Explore NeuVue tasks now
Sample tasks are available for all users with an account. Sign in and tasks will automatically be added for you to explore. Additional information and FAQ can be found on Getting Started.
Publications
NeuVue: A Framework and Workflows for High-Throughput Electron Microscopy Connectomics Proofreading
NeuVue was presented at the Computational Tools and Other Resources: Microscopy and Imaging session at SfN 2022.
Collaborators
