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Online conversion of reconstructed neural morphologies into standardized SWC format
Digital reconstructions provide an accurate and reliable way to store, share, model, quantify, and analyze neural morphology. Continuous advances in cellular labeling, tissue processing, microscopic imaging, and automated tracing catalyzed a proliferation of software applications to reconstruct neur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654402/ https://www.ncbi.nlm.nih.gov/pubmed/37973857 http://dx.doi.org/10.1038/s41467-023-42931-x |
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author | Mehta, Ketan Ljungquist, Bengt Ogden, James Nanda, Sumit Ascoli, Ruben G. Ng, Lydia Ascoli, Giorgio A. |
author_facet | Mehta, Ketan Ljungquist, Bengt Ogden, James Nanda, Sumit Ascoli, Ruben G. Ng, Lydia Ascoli, Giorgio A. |
author_sort | Mehta, Ketan |
collection | PubMed |
description | Digital reconstructions provide an accurate and reliable way to store, share, model, quantify, and analyze neural morphology. Continuous advances in cellular labeling, tissue processing, microscopic imaging, and automated tracing catalyzed a proliferation of software applications to reconstruct neural morphology. These computer programs typically encode the data in custom file formats. The resulting format heterogeneity severely hampers the interoperability and reusability of these valuable data. Among these many alternatives, the SWC file format has emerged as a popular community choice, coalescing a rich ecosystem of related neuroinformatics resources for tracing, visualization, analysis, and simulation. This report presents a standardized specification of the SWC file format. In addition, we introduce xyz2swc, a free online service that converts all 26 reconstruction formats (and 72 variations) described in the scientific literature into the SWC standard. The xyz2swc service is available open source through a user-friendly browser interface (https://neuromorpho.org/xyz2swc/ui/) and an Application Programming Interface (API). |
format | Online Article Text |
id | pubmed-10654402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106544022023-11-16 Online conversion of reconstructed neural morphologies into standardized SWC format Mehta, Ketan Ljungquist, Bengt Ogden, James Nanda, Sumit Ascoli, Ruben G. Ng, Lydia Ascoli, Giorgio A. Nat Commun Article Digital reconstructions provide an accurate and reliable way to store, share, model, quantify, and analyze neural morphology. Continuous advances in cellular labeling, tissue processing, microscopic imaging, and automated tracing catalyzed a proliferation of software applications to reconstruct neural morphology. These computer programs typically encode the data in custom file formats. The resulting format heterogeneity severely hampers the interoperability and reusability of these valuable data. Among these many alternatives, the SWC file format has emerged as a popular community choice, coalescing a rich ecosystem of related neuroinformatics resources for tracing, visualization, analysis, and simulation. This report presents a standardized specification of the SWC file format. In addition, we introduce xyz2swc, a free online service that converts all 26 reconstruction formats (and 72 variations) described in the scientific literature into the SWC standard. The xyz2swc service is available open source through a user-friendly browser interface (https://neuromorpho.org/xyz2swc/ui/) and an Application Programming Interface (API). Nature Publishing Group UK 2023-11-16 /pmc/articles/PMC10654402/ /pubmed/37973857 http://dx.doi.org/10.1038/s41467-023-42931-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mehta, Ketan Ljungquist, Bengt Ogden, James Nanda, Sumit Ascoli, Ruben G. Ng, Lydia Ascoli, Giorgio A. Online conversion of reconstructed neural morphologies into standardized SWC format |
title | Online conversion of reconstructed neural morphologies into standardized SWC format |
title_full | Online conversion of reconstructed neural morphologies into standardized SWC format |
title_fullStr | Online conversion of reconstructed neural morphologies into standardized SWC format |
title_full_unstemmed | Online conversion of reconstructed neural morphologies into standardized SWC format |
title_short | Online conversion of reconstructed neural morphologies into standardized SWC format |
title_sort | online conversion of reconstructed neural morphologies into standardized swc format |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654402/ https://www.ncbi.nlm.nih.gov/pubmed/37973857 http://dx.doi.org/10.1038/s41467-023-42931-x |
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