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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63879

    Título
    Automated imaging system for fast quantitation of neurons, cell morphology and neurite morphometry in vivo and in vitro
    Autor
    Tapias Molina, VictorAutoridad UVA Orcid
    Greenamyre, J. Timothy
    Watkins, Simon C.
    Año del Documento
    2013
    Descripción
    Producción Científica
    Documento Fuente
    Neurobiology of Disease, Junio 2013, vol. 54, p. 158-168
    Resumo
    Quantitation of neurons using stereologic approaches reduces bias and systematic error, but is time-consuming and labor-intensive. Accurate methods for quantifying neurons in vitro are lacking; conventional methodologies are limited in reliability and application. The morphological properties of the soma and neurites are a key aspect of neuronal phenotype and function, but the assays commonly used in such evaluations are beset with several methodological drawbacks. Herein we describe automated techniques to quantify the number and morphology of neurons (or any cell type, e.g., astrocytes) and their processes with high speed and accuracy. Neuronal quantification from brain tissue using a motorized stage system yielded results that were statistically comparable to those generated by stereology. The approach was then adapted for in vitro neuron and neurite outgrowth quantification. To determine the utility of our methods, rotenone was used as a neurotoxicant leading to morphological changes in neurons and cell death, astrocytic activation, and loss of neurites. Importantly, our technique counted about 8 times as many neurons in less than 5-10% of the time taken by manual stereological analysis.
    ISSN
    0969-9961
    Revisión por pares
    SI
    DOI
    10.1016/j.nbd.2012.11.018
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/63879
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    openAccess
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    • DEP06 - Artículos de revista [352]
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    Universidad de Valladolid

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