File:Virtual-finger-boosts-three-dimensional-imaging-and-microsurgery-as-well-as-terabyte-volume-image-ncomms5342-s13.ogv
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[edit]DescriptionVirtual-finger-boosts-three-dimensional-imaging-and-microsurgery-as-well-as-terabyte-volume-image-ncomms5342-s13.ogv |
English: Supplementary Movie 11 Labeling and annotation of neuron segments in a 96Gb 3D image volume of rat hippocampal neurons based on Vaa3D-TeraFly. The two exemplar neuron-segments can be identified and reconstructed correctly and easily in 3D, even the operations to define them happen in 2D. Such annotation is carried over across all different scales when the image data is loaded or refreshed. This makes it is very efficient to reconstruct, annotate, and proof-edit very large 3D image datasets. The test was done using a Mac laptop and an external hard drive. |
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Source | Video file from Peng H, Tang J, Xiao H, Bria A, Zhou J, Butler V, Zhou Z, Gonzalez-Bellido P, Oh S, Chen J, Mitra A, Tsien R, Zeng H, Ascoli G, Iannello G, Hawrylycz M, Myers E, Long F (2014). "Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis". Nature Communications. DOI:10.1038/ncomms5342. PMID 25014658. PMC: 4104457. | ||
Author | Peng H, Tang J, Xiao H, Bria A, Zhou J, Butler V, Zhou Z, Gonzalez-Bellido P, Oh S, Chen J, Mitra A, Tsien R, Zeng H, Ascoli G, Iannello G, Hawrylycz M, Myers E, Long F | ||
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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current | 14:31, 2 November 2016 | 16 s, 1,646 × 1,018 (5.18 MB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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Short title | Supplementary Movie 11 |
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Author | Peng H, Tang J, Xiao H, Bria A, Zhou J, Butler V, Zhou Z, Gonzalez-Bellido P, Oh S, Chen J, Mitra A, Tsien R, Zeng H, Ascoli G, Iannello G, Hawrylycz M, Myers E, Long F |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | Labeling and annotation of neuron segments in a 96Gb 3D image volume of rat hippocampal neurons based on Vaa3D-TeraFly. The two exemplar neuron-segments can be identified and reconstructed correctly and easily in 3D, even the operations to define them happen in 2D. Such annotation is carried over across all different scales when the image data is loaded or refreshed. This makes it is very efficient to reconstruct, annotate, and proof-edit very large 3D image datasets. The test was done using a Mac laptop and an external hard drive. |
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