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Reconstruction of the neuromuscular junction connectome
Motivation: Unraveling the structure and behavior of the brain and central nervous system (CNS) has always been a major goal of neuroscience. Understanding the wiring diagrams of the neuromuscular junction connectomes (full connectivity of nervous system neuronal components) is a starting point for...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881364/ https://www.ncbi.nlm.nih.gov/pubmed/20529938 http://dx.doi.org/10.1093/bioinformatics/btq179 |
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author | Srinivasan, Ranga Li, Qing Zhou, Xiaobo Lu, Ju Lichtman, Jeff Wong, Stephen T.C. |
author_facet | Srinivasan, Ranga Li, Qing Zhou, Xiaobo Lu, Ju Lichtman, Jeff Wong, Stephen T.C. |
author_sort | Srinivasan, Ranga |
collection | PubMed |
description | Motivation: Unraveling the structure and behavior of the brain and central nervous system (CNS) has always been a major goal of neuroscience. Understanding the wiring diagrams of the neuromuscular junction connectomes (full connectivity of nervous system neuronal components) is a starting point for this, as it helps in the study of the organizational and developmental properties of the mammalian CNS. The phenomenon of synapse elimination during developmental stages of the neuronal circuitry is such an example. Due to the organizational specificity of the axons in the connectomes, it becomes important to label and extract individual axons for morphological analysis. Features such as axonal trajectories, their branching patterns, geometric information, the spatial relations of groups of axons, etc. are of great interests for neurobiologists in the study of wiring diagrams. However, due to the complexity of spatial structure of the axons, automatically tracking and reconstructing them from microscopy images in 3D is an unresolved problem. In this article, AxonTracker-3D, an interactive 3D axon tracking and labeling tool is built to obtain quantitative information by reconstruction of the axonal structures in the entire innervation field. The ease of use along with accuracy of results makes AxonTracker-3D an attractive tool to obtain valuable quantitative information from axon datasets. Availability: The software is freely available for download at http://www.cbi-tmhs.org/AxonTracker/ Contact: stwong@tmhs.org |
format | Text |
id | pubmed-2881364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28813642010-06-08 Reconstruction of the neuromuscular junction connectome Srinivasan, Ranga Li, Qing Zhou, Xiaobo Lu, Ju Lichtman, Jeff Wong, Stephen T.C. Bioinformatics Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa Motivation: Unraveling the structure and behavior of the brain and central nervous system (CNS) has always been a major goal of neuroscience. Understanding the wiring diagrams of the neuromuscular junction connectomes (full connectivity of nervous system neuronal components) is a starting point for this, as it helps in the study of the organizational and developmental properties of the mammalian CNS. The phenomenon of synapse elimination during developmental stages of the neuronal circuitry is such an example. Due to the organizational specificity of the axons in the connectomes, it becomes important to label and extract individual axons for morphological analysis. Features such as axonal trajectories, their branching patterns, geometric information, the spatial relations of groups of axons, etc. are of great interests for neurobiologists in the study of wiring diagrams. However, due to the complexity of spatial structure of the axons, automatically tracking and reconstructing them from microscopy images in 3D is an unresolved problem. In this article, AxonTracker-3D, an interactive 3D axon tracking and labeling tool is built to obtain quantitative information by reconstruction of the axonal structures in the entire innervation field. The ease of use along with accuracy of results makes AxonTracker-3D an attractive tool to obtain valuable quantitative information from axon datasets. Availability: The software is freely available for download at http://www.cbi-tmhs.org/AxonTracker/ Contact: stwong@tmhs.org Oxford University Press 2010-06-15 2010-06-01 /pmc/articles/PMC2881364/ /pubmed/20529938 http://dx.doi.org/10.1093/bioinformatics/btq179 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa Srinivasan, Ranga Li, Qing Zhou, Xiaobo Lu, Ju Lichtman, Jeff Wong, Stephen T.C. Reconstruction of the neuromuscular junction connectome |
title | Reconstruction of the neuromuscular junction connectome |
title_full | Reconstruction of the neuromuscular junction connectome |
title_fullStr | Reconstruction of the neuromuscular junction connectome |
title_full_unstemmed | Reconstruction of the neuromuscular junction connectome |
title_short | Reconstruction of the neuromuscular junction connectome |
title_sort | reconstruction of the neuromuscular junction connectome |
topic | Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881364/ https://www.ncbi.nlm.nih.gov/pubmed/20529938 http://dx.doi.org/10.1093/bioinformatics/btq179 |
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