- Fly through your data for fast skeletonization and proofreading
- Create 3D training data for automated segmentations efficiently
- Scale data reconstruction projects with crowdsourcing workflows
- Share datasets and annotations with collaborating scientists
Start using WEBKNOSSOS - On your own server - User Documentation - Contact us
- Exploration of large 3D image datasets
- Fully browser-based user experience with efficient data streaming
- Creation/editing of skeleton and volume annotations
- Innovative flight mode for fast skeleton annotation
- Optimized performance for large annotations
- User and task management for high-throughput crowdsourcing
- Sharing and collaboration features
- Proofreading tools for working with large (over)-segmentations
- Standalone datastore component for flexible deployments
- Supported dataset formats: WKW, Neuroglancer Precomputed, Zarr, N5
- Supported image formats: Grayscale, Segmentation Maps, RGB, Multi-Channel
- Support for 3D mesh rendering and ad-hoc mesh generation
- Export and streaming of any dataset and annotation as Zarr to third-party tools
- Documented frontend API for user scripts, REST API for backend access
- Open-source development with automated test suite
- Docker-based deployment for production and development
- Detailed Documentation
Boergens, Berning, Bocklisch, Bräunlein, Drawitsch, Frohnhofen, Herold, Otto, Rzepka, Werkmeister, Werner, Wiese, Wissler and Helmstaedter webKnossos: efficient online 3D data annotation for connectomics. Nature Methods (2017) DOI:10.1038/NMETH.4331.
Read more about the original publication.
WEBKNOSSOS is open-source, so you can install it on your own server.
Check out the documentation for a tutorial on how to install WEBKNOSSOS on your own server.
For development installations, please see DEV_INSTALL.md file.
We welcome community feedback and contributions! We are happy to have
- general feedback, observations and questions on the image.sc forum,
- feature suggestions and bug reports as issues on GitHub,
- documentation, examples and code contributions as pull requests on GitHub.
For details on community contributions, please refer to our Contributing guide.
Contact us at hello@webknossos.org.
scalable minds offers commercial hosting, support and development services for WEBKNOSSOS.
- scalable minds - https://scalableminds.com/
- Max Planck Institute for Brain Research – https://brain.mpg.de/
WEBKNOSSOS was inspired by KNOSSOS.
- Browser Stack for letting us test WEBKNOSSOS on a variety of different devices
AGPLv3