A STEREOLOGICAL UNFOLDING METHOD FOR THE STUDY OF THE MITOCHONDRIAL NETWORK

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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Veröffentlicht in:Image analysis & stereology 2011-05, Vol.27 (1), p.11-22
Hauptverfasser: Flynn, Daniel Christopher, Nulton, James Darwin, Salamon, Peter, Frey, Terrence Gene, Rabinovitch, Avinoam, Sun, Mei Guo, Baljon, Arlette Rose Cornelia
Format: Artikel
Sprache:eng
Schlagworte:
bootstrap
maximum likelihood
mitochondria
spheroid
statistics
unfolding problem
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Zusammenfassung: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
DOI:10.5566/ias.v28.p11-22