Read and write Neuroglancer datasets programmatically.

Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.

compressed_segmentation for Neuroglancer volumes. This is the PyPI package fork.

A docker image for using Neuroglancer

This is a basic framework for setting up cloud volume and neuroglancer against an arbitrary data-set

Generates meshes for neuroglancer visualization

Extract ROIs (e.g. nerves, blood vessels) from multi-terabyte cloud-hosted medical scans.

Pipelines to create neuroglancer formats from EM data, along with segmentations or object lists. Raw output can be used in neuroglancer, or used in IMP project to have an interactive app.

Neuroglancer integrated into the Ouroboros medical imaging application.