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Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python

Detalles Bibliográficos
Autores principales: Aguiar, Paulo, Szucs, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240438/
http://dx.doi.org/10.1186/1471-2202-12-S1-P323
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author Aguiar, Paulo
Szucs, Peter
author_facet Aguiar, Paulo
Szucs, Peter
author_sort Aguiar, Paulo
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spelling pubmed-32404382011-12-16 Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python Aguiar, Paulo Szucs, Peter BMC Neurosci Poster Presentation BioMed Central 2011-07-18 /pmc/articles/PMC3240438/ http://dx.doi.org/10.1186/1471-2202-12-S1-P323 Text en Copyright ©2011 Aguiar and Szucs; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Presentation
Aguiar, Paulo
Szucs, Peter
Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title_full Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title_fullStr Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title_full_unstemmed Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title_short Detailed visualization and morphometric analysis of reconstructed neurons using Blender and Python
title_sort detailed visualization and morphometric analysis of reconstructed neurons using blender and python
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240438/
http://dx.doi.org/10.1186/1471-2202-12-S1-P323
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