Visualize, share and annotate your large 3D images online
Upload your data and share links with colleagues. Collaboratively create skeleton and volume annotations, all from your browser. Optimized for multi-terabyte datasets.
webKnossos is open source and has been published in Nature Methods.
Scalable from giga- to petavoxel datasets
webKnossos scales seamlessly from smaller to the largest image datasets available. Support for 2D and 3D datasets with multiple channels.
Unique annotation modes for faster results
The unique “flight mode” enables very fast skeleton annotation of neurites. Efficient volume annotation tools accelerate training data generation and proof-reading.
Fast browsing no matter where you are
webKnossos storage and streaming technology provides fast browsing speeds to your work computer, home-office laptop and tablet on-the-go.
Collaborate, securely
Your datasets are only accessible by you and your chosen collaborators. Once you are ready, publish them with a click of a button.
webKnossos in action
Explore remarkable datasets from the scientific community in webKnossos.Sign up to build upon the data and create your own annotations.
Your dataset is not in the list?We are happy to host selected public datasets on webknossos.org for free.Please contact us to get the dataset uploaded.
Research and webKnossos
Here are some publications that used webKnossos. Click here to see all the references.
Postnatal connectomic development of inhibition in mouse barrel cortex
Anjali Gour, Kevin M. Boergens, Natalie Heike, Yunfeng Hua, Philip Laserstein, Kun Song, Moritz Helmstaedter
Science, 2021
10.1126/science.abb4534
Cell-type specific innervation of cortical pyramidal cells at their apical tufts
Ali Karimi, Jan Odenthal, Florian Drawitsch, Kevin M. Boergens, Moritz Helmstaedter
eLife, 2019
10.7554/eLife.46876
Dense connectomic reconstruction in layer 4 of the somatosensory cortex
Alessandro Motta, Manuel Berning, Kevin M Boergens, Benedikt Staffler, Marcel Beining, Sahil Loomba, Philipp Hennig, Heiko Wissler, Moritz Helmstaedter
Science, 2019
10.1126/science.aay3134
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