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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63911

    Título
    A Rapid and Sensitive Automated Image‐Based Approach for In Vitro and In Vivo Characterization of Cell Morphology and Quantification of Cell Number and Neurite Architecture
    Autor
    Tapias Molina, VictorAutoridad UVA Orcid
    Greenamyre, J. Timothy
    Año del Documento
    2014
    Descripción
    Producción Científica
    Documento Fuente
    Current Protocols in Cytometry, Abril 2014, vol. 68. p. 12.33.1-12.33.22
    Résumé
    Stereological methods for tissue cell counting, specifically for neuron quantification, decrease systematic error and sampling bias; however, they are tedious, labor intensive, and time consuming. Approaches for cell (neuron) quantification in vitro are not accurate, sensitive, or subsequently reproducible. Neuronal phenotype is related to alterations in cell morphology and neurite pattern. The techniques currently available for quantification of these features present several limitations. In this unit, we provide validated automated procedures for in vivo and in vitro quantification of cell number, morphological cell changes, and neurite morphometry in a fast, simple, and reliable manner. Our method counts up to 8 times as many neurons in less than 5% to 10% of the time required for stereological analysis (optical fractionator). In summary, this technology offers an unparalleled opportunity to examine features of cells at high resolution in a complex three-dimensional environment. These techniques provide an exceptional in vivo and in vitro system for neurotoxicity studies, disease modeling, and drug discovery.
    ISSN
    1934-9297
    Revisión por pares
    SI
    DOI
    10.1002/0471142956.cy1233s68
    Patrocinador
    This work was supported by The JPB Foundation, NIH grants P01 NS059806 (JTG.), RC1 ES018058 (JTG), U54 GM103529 (ASW/SCW), the American Parkinson Disease Association (JTG), and the Fulbright Commission, Ministry of Education and Science, Madrid, Spain (Fulbright Fellowship to VT).
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/63911
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    openAccess
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    • DEP06 - Artículos de revista [353]
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    Nombre:
    Motorized Stage_CPC 2014.pdf
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    1.946Mo
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    Universidad de Valladolid

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