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webKnossos: efficient online 3D data annotation for connectomics

MPG-Autoren

Boergens,  Kevin M.
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

Berning,  Manuel
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

Drawitsch,  Florian
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

Wissler,  Heiko
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

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

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Zitation

Boergens, K. M., Berning, M., Bocklisch, T., Bräunlein, D., Drawitsch, F., Frohnhofen, J., et al. (2017). webKnossos: efficient online 3D data annotation for connectomics. Nature methods, 14(7), 691-698. doi:10. 1038/NMETH.4331.


Zitierlink: http://hdl.handle.net/21.11116/0000-0000-F543-0
Zusammenfassung
We report webKnossos, an in-browser annotation tool for 3D electron microscopic data. wegKnossos 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 construction for connectomics by 4- to 13-fold compared with current state-of-the-art tools, thus extending the range of conncectomes that can realistically be mapped for the future.