A stereological unfolding method for the study of the mitochondrial network

When the mitochondrial network within the cell is in a fragmented state, it resembles a spatial distribution of prolate spheroids of various shapes, sizes and orientations. This paper presents a maximum-likelihood scheme for inferring the distribution of spheroidal shapes, sizes and orientations fro...

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Bibliographic Details
Published in:Image analysis & stereology 2009-03, Vol.28, p.11
Main Authors: Flynn, Daniel Christopher, Nulton, James Darwin, Salamon, Peter, Frey, Terrence Gene, Rabinovitch, Avinoam, Sun, Mei Guo, Baljon, Arlette Rose Cornelia
Format: Article
Language:English
Subjects:
Cell death
Image processing
Methods
Mitochondria
Mitochondrial DNA
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Summary:When the mitochondrial network within the cell is in a fragmented state, it resembles a spatial distribution of prolate spheroids of various shapes, sizes and orientations. This paper presents a maximum-likelihood scheme for inferring the distribution of spheroidal shapes, sizes and orientations from the observed distribution of elliptical sections. We also present a parametric bootstrap suitable for inferring confidence intervals for the parameters describing the shape and size distribution of the spheroids. Keywords: bootstrap, maximum likelihood, mitochondria, spheroid, statistics, unfolding problem.
ISSN:1580-3139