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A new method for quantifying three‐dimensional interactions between biological structures
Author(s) -
Travençolo Bruno A. N.,
Debat Claudio Martínez,
Beletti Marcelo E.,
Silveira José R. Sotelo,
Ehrlich Ricardo,
Costa Luciano da F.
Publication year - 2007
Publication title -
journal of anatomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.932
H-Index - 118
eISSN - 1469-7580
pISSN - 0021-8782
DOI - 10.1111/j.1469-7580.2006.00685.x
Subject(s) - computer science , foramen , surface (topology) , stability (learning theory) , echinococcus granulosus , biological system , biology , anatomy , mathematics , ecology , geometry , machine learning
In this paper we examine a new distance‐based method for identifying and characterizing possible interactions between biological structures and objects, with respect to the initial developmental stages of Echinococcus granulosus . By adopting the surface of the foramen as the distance reference, several interesting results have been identified, including the fact that the cell nuclei tend to be organized with respect to the foramen surface as well as the stability of the spatial distribution of these nuclei along the development stages.