A STEREOLOGICAL UNFOLDING METHOD FOR THE STUDY OF THE MITOCHONDRIAL NETWORK

Authors

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

DOI:

https://doi.org/10.5566/ias.v28.p11-22

Keywords:

bootstrap, maximum likelihood, mitochondria, spheroid, statistics, unfolding problem

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.

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Published

2011-05-03

How to Cite

Flynn, D. C., Nulton, J. D., Salamon, P., Frey, T. G., Rabinovitch, A., Sun, M. G., & Baljon, A. R. C. (2011). A STEREOLOGICAL UNFOLDING METHOD FOR THE STUDY OF THE MITOCHONDRIAL NETWORK. Image Analysis and Stereology, 28(1), 11–22. https://doi.org/10.5566/ias.v28.p11-22

Issue

Vol. 28 No. 1 (2009)

Section

Original Research Paper