Quantifying barcodes of dendritic spines using entropy-based metrics

Spine motility analysis has become the mainstay for investigating synaptic plasticity but is limited in its versatility requiring complex, non automatized instrumentations. We describe an entropy-based method for determining the spatial distribution of dendritic spines that allows successful estimat...

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Detalles Bibliográficos
Autores principales: Viggiano, D., Srivastava, D. P., Speranza, L., Perrone-Capano, C., Bellenchi, G. C., di Porzio, U., Buckley, N. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588562/
https://www.ncbi.nlm.nih.gov/pubmed/26419702
http://dx.doi.org/10.1038/srep14622
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author Viggiano, D.
Srivastava, D. P.
Speranza, L.
Perrone-Capano, C.
Bellenchi, G. C.
di Porzio, U.
Buckley, N. J.
author_facet Viggiano, D.
Srivastava, D. P.
Speranza, L.
Perrone-Capano, C.
Bellenchi, G. C.
di Porzio, U.
Buckley, N. J.
author_sort Viggiano, D.
collection PubMed
description Spine motility analysis has become the mainstay for investigating synaptic plasticity but is limited in its versatility requiring complex, non automatized instrumentations. We describe an entropy-based method for determining the spatial distribution of dendritic spines that allows successful estimation of spine motility from still images. This method has the potential to extend the applicability of spine motility analysis to ex vivo preparations.
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spelling pubmed-45885622015-10-13 Quantifying barcodes of dendritic spines using entropy-based metrics Viggiano, D. Srivastava, D. P. Speranza, L. Perrone-Capano, C. Bellenchi, G. C. di Porzio, U. Buckley, N. J. Sci Rep Article Spine motility analysis has become the mainstay for investigating synaptic plasticity but is limited in its versatility requiring complex, non automatized instrumentations. We describe an entropy-based method for determining the spatial distribution of dendritic spines that allows successful estimation of spine motility from still images. This method has the potential to extend the applicability of spine motility analysis to ex vivo preparations. Nature Publishing Group 2015-09-30 /pmc/articles/PMC4588562/ /pubmed/26419702 http://dx.doi.org/10.1038/srep14622 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Viggiano, D.
Srivastava, D. P.
Speranza, L.
Perrone-Capano, C.
Bellenchi, G. C.
di Porzio, U.
Buckley, N. J.
Quantifying barcodes of dendritic spines using entropy-based metrics
title Quantifying barcodes of dendritic spines using entropy-based metrics
title_full Quantifying barcodes of dendritic spines using entropy-based metrics
title_fullStr Quantifying barcodes of dendritic spines using entropy-based metrics
title_full_unstemmed Quantifying barcodes of dendritic spines using entropy-based metrics
title_short Quantifying barcodes of dendritic spines using entropy-based metrics
title_sort quantifying barcodes of dendritic spines using entropy-based metrics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588562/
https://www.ncbi.nlm.nih.gov/pubmed/26419702
http://dx.doi.org/10.1038/srep14622
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