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KNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity. By dynamically loading only data from the surround of the current view point, seamless navigation is not limited to datasets that fit into the available RAM but works with much larger dataset stored in a special format on disk. Currently, KNOSSOS is limited to 8-bit data. In addition to viewing and navigating, KNOSSOS allows efficient manual neurite annotation ('skeletonization').
KNOSSOS is being used mostly for reconstructing cell morphologies from 3D electron microscopic data generated by Serial Block-Face Electron Microscopy (SBEM), with an occasional application to 2-photon and confocal optical microscopy data.
KNOSSOS is being developed at the Max-Planck Institute for Medical Research in Heidelberg, Germany. If you have any questions or comments, please contact us or subscribe to our mailing list. |
Retinal neurons skeletonized from SBEM data using KNOSSOS |
References
- Helmstaedter, M., K.L. Briggman, and W. Denk, High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nat. Neurosci. 14, 1081–1088, 2011.
- K.L. Briggman, Helmstaedter, M. and W. Denk, Wiring specificity in the direction-selectivity circuit of the mammalian retina. Nature 471, 183–188, 2011.
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