Volumetric data rendering with Neuroglancer

Introduction

Main Features:

• Voxel-based rendering: Efficiently visualize large 3D datasets by streaming the data directly into the browser.
• Support for multiple data formats: Neuroglancer works with a variety of formats like ZARR and OME-ZARR for volumetric images, as well as annotation formats.
• Interactive, shareable views: Customize and share views by copying the URL directly from the Neuroglancer interface.

Available datasets

Popular datasets using Neuroglancer

• MICrONS Explorer: A large-scale dataset from the MICrONS Project, providing high-resolution volumetric reconstructions of a mouse brain.
• FlyEM Hemibrain: This dataset offers a detailed 3D reconstruction of the Drosophila melanogaster brain at nanometer resolution.
• “H01” Dataset: 1.4 Petabyte for one cubic millimeter of the human brain, released by the Harvard University and the Connectomics at Google team.

Dataset requirements

Supported Data Types

• Neuroglancer precomputed format
• N5
• Zarr v2/v3 (including OME-ZARR)
• Python in-memory volumes (with automatic mesh generation)
• BOSS , DVID, Render, Single NIfTI files, Deep Zoom images

Data hosting for Neuroglancer

• Local Hosting: Serve data from your own machine or institution’s servers.
• AWS S3 or Google Cloud Storage: Store large datasets and stream them to Neuroglancer from the cloud.
• Scientific Data Services: e.g. BioImage Archive
• Do you know other compatible hosting places? Let us know!