Ka-me: a Voronoi image analyzer.

Bioinformatics
Noppadon KhiripetJohn R Jungck

Abstract

Ka-me is a Voronoi image analyzer that allows users to analyze any image with a convex polygonal tessellation or any spatial point distribution by fitting Voronoi polygons and their dual, Delaunay triangulations, to the pattern. The analytical tools include a variety of graph theoretic and geometric tools that summarize the distribution of the numbers of edges per face, areas, perimeters, angles of Delaunay triangle edges (anglograms), Gabriel graphs, nearest neighbor graphs, minimal spanning trees, Ulam trees, Pitteway tests, circumcircles and convexhulls, as well as spatial statistics (Clark-Evans Nearest Neighborhood and Variance to Mean Ratio) and export functions for standard relationships (Lewis's Law, Desch's Law and Aboav-Weaire Law). Ka-me: a Voronoi image analyzer is available as an executable with documentation and sample applications from the BioQUEST Library (http://bioquest.org/downloads/kame_1.0.rar).

References

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Citations

Jan 31, 2014·The Journal of Comparative Neurology·Gabriel Belem de AndradePeter G Fuerst
Nov 9, 2016·Frontiers in Molecular Neuroscience·Yin-Peng ChenYi-Shuian Huang
Apr 5, 2017·Cell and Tissue Banking·Nigel H Brookes
Mar 15, 2019·Theory in Biosciences = Theorie in Den Biowissenschaften·John R JungckMargeurita Hagan

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Methods Mentioned

BETA
protein folding

Software Mentioned

me
Ka

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