Specialized storage, streaming, and rendering technology enable fast browsing speeds on your work computer and home-office laptop.
No additional installations beyond the browser are needed, making it effortless to collaborate with others.
Explore your data in 3D with automatically generated meshes. WEBKNOSSOS generates meshes from volume annotations or pre-computed segmentations.
Use the screenshot feature to create figures or export the meshes in your favorite 3D rendering software (e.g., Blender, Amira, Cinema4D).
Volume Electron microscopy
WEBKNOSSOS features a UI optimized specifically for Volume Electron Microscopy.
Effortlessly load your large raw EM data and seamlessly navigate through it using the viewports. Observe your segments in 3D after computing meshes.
WEBKNOSSOS works great for light-microscopy images including light-sheet microscopy, confocal microscopy, and more.
Visualize your 2D or 3D data using different channels as layers. Adjust contrast, gamma value, opacity, and blend modes to optimize your resulting image.
Use the AI-based quick-select and the interpolation feature to speed up 3D annotations. Refinewith manual brush and trace tools. Download the annotations to train a machine learning model or for visualization purposes.
Visualize segmented objects as meshes through the integrated mesh generation. Explore dense segmentations with colored and patterned maps.
Create skeleton annotations of neurons or vasculature, represented as line segments, and measure their path lengths. Organize these skeletons into hierarchical groups. Attach comments to nodes to mark interesting locations in your data.
Experience the unique Flight Mode, designed for high-speed tracing of axons or dendrites. Trained annotator crowds achieve impressive tracing speeds of 1.5 ± 0.6 mm/h for axons and 2.1 ± 0.9 mm/h for dendrites in 3D electron microscopy data. For more details, refer to the WEBKNOSSOS paper.
Autosave and history
WEBKNOSSOS automatically saves annotations every 30 seconds and maintains a versioned history of every action across all annotations. Correcting a mistake is as simple as clicking "undo."
In addition, annotation data on WEBKNOSSOS is externally backed up on a daily basis. For users with paid plans, there is an option to back up datasets as well.
Collaborate seamlessly with your colleagues on a single annotation, each working from your own computers. No need to exchange multiple versions or share a single computer.
Sharing via link
Easily share your data with colleagues or the world with just two clicks. Thanks to the cloud-based nature of WEBKNOSSOS, every dataset and annotation has a shareable link that allows for easy sharing.
Leverage WEBKNOSSOS as a centralized storage solution for all your large-scale image datasets. Say goodbye to scattered data across numerous hard drives or storage servers. WEBKNOSSOS effortlessly scales to handle petabytes of data.
Ensure secure management of datasets within your organization with fine-grained user access levels and the ability to create subteams. WEBKNOSSOS helps you maintain data security while streamlining dataset management.
Download your data and annotations from WEBKNOSSOS to work with them in other tools. WEBKNOSSOS supports standard formats (e.g. TIFF, STL, N5/ZARR, CSV) for exports. Import your remotely stored datasets as Zarr, N5 or Neuroglancer Precomputed directly in WEBKNOSSOS.
Work with the WEBKNOSSOS file formats in Python using our open-source libraries. For more information on tooling and implementation, refer to the documentation
Tasks and project management
Efficiently manage annotation tasks by setting up assignments for your annotators and utilizing auto-assignment to distribute the workload. Monitor the progress of the annotations using monitoring reports, allowing you to stay updated on the status of the tasks. For further processing, easily download all the created annotations in a merged file.If you don't have annotators available, you can directly hire our annotation services through WEBKNOSSOS, ensuring access to professional annotation support.
Routine connectomic reconstructions with WEBKNOSSOS
Sample Preparation and Warping Accuracy for CMI in the Mouse Olfactory Bulb