PUMA
Istituto di Fisiologia Clinica     
Billeci L., Pioggia G., Vaglini F., Ahluwalia A. Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons. In: Journal of Neuroscience Methods, vol. 185 pp. 315 - 324. Elsevier, 2010.
 
 
Abstract
(English)
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.
DOI: 10.1016/j.jneumeth.2009.10.004
Subject H02.070


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional