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
Main Authors: Daniel Christopher Flynn, James Darwin Nulton, Peter Salamon, Terrence Gene Frey, Avinoam Rabinovitch, Mei Guo Sun, Arlette Rose Cornelia Baljon
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2011-05-01
Series:Image Analysis and Stereology
Subjects:
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/845
Description
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.
ISSN:1580-3139
1854-5165