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Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans

A rate-limiting step in determining a connectome, the set of all synaptic connections in a nervous system, is extraction of the relevant information from serial electron micrographs. Here we introduce a software application, Elegance, that speeds acquisition of the minimal dataset necessary, allowin...

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Detalles Bibliográficos
Autores principales: Xu, Meng, Jarrell, Travis A., Wang, Yi, Cook, Steven J., Hall, David H., Emmons, Scott W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546938/
https://www.ncbi.nlm.nih.gov/pubmed/23342070
http://dx.doi.org/10.1371/journal.pone.0054050
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author Xu, Meng
Jarrell, Travis A.
Wang, Yi
Cook, Steven J.
Hall, David H.
Emmons, Scott W.
author_facet Xu, Meng
Jarrell, Travis A.
Wang, Yi
Cook, Steven J.
Hall, David H.
Emmons, Scott W.
author_sort Xu, Meng
collection PubMed
description A rate-limiting step in determining a connectome, the set of all synaptic connections in a nervous system, is extraction of the relevant information from serial electron micrographs. Here we introduce a software application, Elegance, that speeds acquisition of the minimal dataset necessary, allowing the discovery of new connectomes. We have used Elegance to obtain new connectivity data in the nematode worm Caenorhabditis elegans. We analyze the accuracy that can be obtained, which is limited by unresolvable ambiguities at some locations in electron microscopic images. Elegance is useful for reconstructing connectivity in any region of neuropil of sufficiently small size.
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spelling pubmed-35469382013-01-22 Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans Xu, Meng Jarrell, Travis A. Wang, Yi Cook, Steven J. Hall, David H. Emmons, Scott W. PLoS One Research Article A rate-limiting step in determining a connectome, the set of all synaptic connections in a nervous system, is extraction of the relevant information from serial electron micrographs. Here we introduce a software application, Elegance, that speeds acquisition of the minimal dataset necessary, allowing the discovery of new connectomes. We have used Elegance to obtain new connectivity data in the nematode worm Caenorhabditis elegans. We analyze the accuracy that can be obtained, which is limited by unresolvable ambiguities at some locations in electron microscopic images. Elegance is useful for reconstructing connectivity in any region of neuropil of sufficiently small size. Public Library of Science 2013-01-16 /pmc/articles/PMC3546938/ /pubmed/23342070 http://dx.doi.org/10.1371/journal.pone.0054050 Text en © 2013 Xu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Xu, Meng
Jarrell, Travis A.
Wang, Yi
Cook, Steven J.
Hall, David H.
Emmons, Scott W.
Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title_full Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title_fullStr Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title_full_unstemmed Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title_short Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans
title_sort computer assisted assembly of connectomes from electron micrographs: application to caenorhabditis elegans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546938/
https://www.ncbi.nlm.nih.gov/pubmed/23342070
http://dx.doi.org/10.1371/journal.pone.0054050
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