Quantifying barcodes of dendritic spines using entropy-based metrics

Autor:	Gian Carlo Bellenchi, Noel J. Buckley, U. di Porzio, Carla Perrone-Capano, Luisa Speranza, Deepak Srivastava, Davide Viggiano
Přispěvatelé:	Viggiano, Davide, Srivastava, D. P, Speranza, Luisa, PERRONE CAPANO, Carla, Bellenchi, G. C, di Porzio, U, Buckley, N. J.
Rok vydání:	2015
Předmět:	musculoskeletal diseases Mice Knockout Neurons Dendritic spine Multidisciplinary Neuronal Plasticity Knockout Dendritic Spines Motility Anatomy Dendrites Biology Biological musculoskeletal system Models Biological Article Mice Algorithms Animals Models Synaptic plasticity spine entropy Neuroscience
Zdroj:	Scientific Reports Scientific reports (Nature Publishing Group) 5 (2015). doi:10.1038/srep14622 info:cnr-pdr/source/autori:Viggiano D.; Srivastava D.P.; Speranza L.; Perrone-Capano C.; Bellenchi G.C.; Di Porzio U.; Buckley N.J./titolo:Quantifying barcodes of dendritic spines using entropy-based metrics/doi:10.1038%2Fsrep14622/rivista:Scientific reports (Nature Publishing Group)/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:/volume:5
ISSN:	2045-2322
DOI:	10.1038/srep14622
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cea0f93ef267698decaa909023a3f029 https://pubmed.ncbi.nlm.nih.gov/26419702 Zobrazit plný text záznamu