A stereological unfolding method for the study of the mitochondrial network

Daniel Christopher Flynn; James Darwin Nulton; Peter Salamon; Terrence Gene Frey; Avinoam Rabinovitch; Mei Guo Sun; Arlette Rose Cornelia Baljon

A stereological unfolding method for the study of the mitochondrial network

Daniel Christopher Flynn, James Darwin Nulton, Peter Salamon, Terrence Gene Frey, Avinoam Rabinovitch, Mei Guo Sun, Arlette Rose Cornelia Baljon

Department of Physics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	11-22
Number of pages	12
Journal	Image Analysis and Stereology
Volume	28
Issue number	1
State	Published - 1 Jan 2009

Keywords

Bootstrap
Maximum likelihood
Mitochondria
Spheroid
Statistics
Unfolding problem

ASJC Scopus subject areas

Biotechnology
Signal Processing
Materials Science (miscellaneous)
General Mathematics
Instrumentation
Radiology Nuclear Medicine and imaging
Acoustics and Ultrasonics
Computer Vision and Pattern Recognition

Cite this

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AU - Sun, Mei Guo

AU - Baljon, Arlette Rose Cornelia

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AB - 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.

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KW - Mitochondria

KW - Spheroid

KW - Statistics

KW - Unfolding problem

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A stereological unfolding method for the study of the mitochondrial network

Abstract

Keywords

ASJC Scopus subject areas

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