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neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123

Brain circuit mapping requires digital reconstruction of neuronal morphologies in complicated networks. Despite recent advances in automatic algorithms, reconstruction of neuronal structures is still a bottleneck in circuit mapping due to a lack of appropriate software for both efficient reconstruct...

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Detalles Bibliográficos
Autores principales: Feng, Linqing, Zhao, Ting, Kim, Jinhyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586918/
https://www.ncbi.nlm.nih.gov/pubmed/26464967
http://dx.doi.org/10.1523/ENEURO.0049-14.2014
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author Feng, Linqing
Zhao, Ting
Kim, Jinhyun
author_facet Feng, Linqing
Zhao, Ting
Kim, Jinhyun
author_sort Feng, Linqing
collection PubMed
description Brain circuit mapping requires digital reconstruction of neuronal morphologies in complicated networks. Despite recent advances in automatic algorithms, reconstruction of neuronal structures is still a bottleneck in circuit mapping due to a lack of appropriate software for both efficient reconstruction and user-friendly editing. Here we present a new software design based on the SWC format, a standardized neuromorphometric format that has been widely used for analyzing neuronal morphologies or sharing neuron reconstructions via online archives such as NeuroMorpho.org. We have also implemented the design in our open-source software called neuTube 1.0. As specified by the design, the software is equipped with parallel 2D and 3D visualization and intuitive neuron tracing/editing functions, allowing the user to efficiently reconstruct neurons from fluorescence image data and edit standard neuron structure files produced by any other reconstruction software. We show the advantages of neuTube 1.0 by comparing it to two other software tools, namely Neuromantic and Neurostudio. The software is available for free at http://www.neutracing.com, which also hosts complete software documentation and video tutorials.
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spelling pubmed-45869182015-10-13 neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123 Feng, Linqing Zhao, Ting Kim, Jinhyun eNeuro Methods/New Tools Brain circuit mapping requires digital reconstruction of neuronal morphologies in complicated networks. Despite recent advances in automatic algorithms, reconstruction of neuronal structures is still a bottleneck in circuit mapping due to a lack of appropriate software for both efficient reconstruction and user-friendly editing. Here we present a new software design based on the SWC format, a standardized neuromorphometric format that has been widely used for analyzing neuronal morphologies or sharing neuron reconstructions via online archives such as NeuroMorpho.org. We have also implemented the design in our open-source software called neuTube 1.0. As specified by the design, the software is equipped with parallel 2D and 3D visualization and intuitive neuron tracing/editing functions, allowing the user to efficiently reconstruct neurons from fluorescence image data and edit standard neuron structure files produced by any other reconstruction software. We show the advantages of neuTube 1.0 by comparing it to two other software tools, namely Neuromantic and Neurostudio. The software is available for free at http://www.neutracing.com, which also hosts complete software documentation and video tutorials. Society for Neuroscience 2015-01-02 /pmc/articles/PMC4586918/ /pubmed/26464967 http://dx.doi.org/10.1523/ENEURO.0049-14.2014 Text en Copyright © 2015 Feng et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Methods/New Tools
Feng, Linqing
Zhao, Ting
Kim, Jinhyun
neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title_full neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title_fullStr neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title_full_unstemmed neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title_short neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format 123
title_sort neutube 1.0: a new design for efficient neuron reconstruction software based on the swc format 123
topic Methods/New Tools
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586918/
https://www.ncbi.nlm.nih.gov/pubmed/26464967
http://dx.doi.org/10.1523/ENEURO.0049-14.2014
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