Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons.
J Neurosci Methods
; 185(2): 315-24, 2010 Jan 15.
Article
em En
| MEDLINE
| ID: mdl-19837112
ABSTRACT
The morphological development of in vitro single cerebellar Purkinje cells obtained from wild type P1 CD1 mice was assessed through a dedicated non-invasive technique based on image processing algorithms and multivariate analysis. Image processing algorithms were implemented to extract metrical features characterizing cell structure and dendritic arborization from sequential optical micrographs. Quantitative morphological features were analyzed in order to identify relevant metrical characteristics common to Purkinje cells in wild type P1 CD1 mice. Cell arborization was found to be characterized by a high fractal dimension and the directionality and level of complexity were shown to be key features for cell morphology classification, as underlined using a three-way PCA analysis.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Células de Purkinje
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Processamento de Sinais Assistido por Computador
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Interpretação de Imagem Radiográfica Assistida por Computador
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Cerebelo
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Dinâmica não Linear
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article
País de afiliação:
Itália