Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.jneumeth.2009.10.004 (literal)

Alternative label

• Billeci L; Pioggia G; Vaglini F; Ahluwalia A (2010)
  Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons
  in Journal of neuroscience methods; Elsevier B.V., Amsterdam (Belgio)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Billeci L; Pioggia G; Vaglini F; Ahluwalia A (literal)

Pagina inizio

• 315 (literal)

Pagina fine

• 324 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 185 (literal)

Rivista

• Journal of neuroscience methods (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: Journal of Neuroscience Methods, vol. 185 pp. 315 - 324. Elsevier, 2010. (literal)

Note

• PubMe (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• University of Pisa, CNR-IFC, Pisa (literal)

Titolo

• Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons (literal)

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. (literal)

Editore

• Elsevier B.V. (Editore)

Prodotto di

• Pervasive healthcare and biomedical engineering (ME.P01.015.002) (Modulo)
• Istituto di fisiologia clinica (IFC) (Istituto)

Autore CNR

• GIOVANNI PIOGGIA (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di fisiologia clinica (IFC) (Istituto)
• Pervasive healthcare and biomedical engineering (ME.P01.015.002) (Modulo)

Autore CNR di

• GIOVANNI PIOGGIA (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Journal of neuroscience methods (Rivista)

Editore di

• Elsevier B.V. (Editore)

Insieme di parole chiave di

• Keywords of "Automated extraction and classification of dynamic metrical features of morphological development in dissociated Purkinje neurons" (Insieme di parole chiave)