webKnossos: efficient online 3D data annotation for connectomics

Boergens, K. M.; Berning, M.; Bocklisch, T.; Braunlein, D.; Drawitsch, F.; Frohnhofen, J.; Herold, T.; Otto, P.; Rzepka, N.; Werkmeister, T.; Werner, D.; Wiese, G.; Wissler, H.; Helmstaedter, Moritz

doi:10.1038/nmeth.4331

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webKnossos: efficient online 3D data annotation for connectomics

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Helmstaedter, Moritz
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

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https://pubmed.ncbi.nlm.nih.gov/28604722/
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Citation

Boergens, K. M., Berning, M., Bocklisch, T., Braunlein, D., Drawitsch, F., Frohnhofen, J., et al. (2017). webKnossos: efficient online 3D data annotation for connectomics. Nat Methods, 14(7), 691-694. doi:10.1038/nmeth.4331.

Cite as: https://hdl.handle.net/21.11116/0000-0008-1789-4

Abstract

We report webKnossos, an in-browser annotation tool for 3D electron microscopic data. webKnossos provides flight mode, a single-view egocentric reconstruction method enabling trained annotator crowds to reconstruct at a speed of 1.5 ± 0.6 mm/h for axons and 2.1 ± 0.9 mm/h for dendrites in 3D electron microscopic data from mammalian cortex. webKnossos accelerates neurite reconstruction for connectomics by 4- to 13-fold compared with current state-of-the-art tools, thus extending the range of connectomes that can realistically be mapped in the future