Extended morphometric analysis of neuronal cells with Minkowski valuations

C. Beisbart (), M. S. Barbosa, H. Wagner and L. da F. Costa

The European Physical Journal B: Condensed Matter and Complex Systems, 2006, vol. 52, issue 4, 531-546

Abstract: Minkowski valuations provide a systematic framework for quantifying different aspects of morphology. In this paper we apply vector- and tensor-valued Minkowski valuations to neuronal cells from the cat's retina in order to describe their morphological structure in a comprehensive way. We introduce the framework of Minkowski valuations, discuss their implementation for neuronal cells and show how they can be used to characterize cells of different morphological categories. We also provide a comparison to a Sholl analysis. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

Keywords: 07.05.Kf Data analysis: algorithms and implementation; data management, 87.19.La Neuroscience, 02.40.Ft Convex sets and geometric inequalities, (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1140/epjb/e2006-00328-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:52:y:2006:i:4:p:531-546

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10051

DOI: 10.1140/epjb/e2006-00328-1

Access Statistics for this article

The European Physical Journal B: Condensed Matter and Complex Systems is currently edited by P. Hänggi and Angel Rubio

More articles in The European Physical Journal B: Condensed Matter and Complex Systems from Springer, EDP Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().