Neuroglancer is a WebGL-based visualization tool designed for exploring large-scale volumetric and neuroimaging datasets directly in the browser. It allows users to interactively view arbitrary 2D and 3D cross-sections of volumetric data alongside 3D meshes and skeleton models, enabling precise examination of neural structures and biological imaging results. Its multi-pane interface synchronizes multiple orthogonal views with a central 3D viewport, making it ideal for analyzing complex brain imaging data such as connectomics datasets. Neuroglancer operates entirely client-side, fetching data over HTTP in a variety of supported formats including Neuroglancer precomputed, N5, Zarr, and NIfTI, among others. The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. Extensively used in neuroscience research, Neuroglancer supports integration with tools.
Features
- WebGL-powered viewer for interactive exploration of large volumetric datasets
- Displays both 2D cross-sections and 3D meshes or skeleton models simultaneously
- Supports multiple data formats such as N5, Zarr, NIfTI, and Neuroglancer precomputed
- Runs fully client-side with data loading via HTTP, compatible with custom backends
- Multi-threaded design for responsive visualization and efficient data handling
- Extensible ecosystem with integrations for Python, Docker, and scientific pipelines
Project Samples
