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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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 languageEnglish
Pages (from-to)11-22
Number of pages12
JournalImage Analysis and Stereology
Issue number1
StatePublished - 1 Jan 2009


  • Bootstrap
  • Maximum likelihood
  • Mitochondria
  • Spheroid
  • Statistics
  • Unfolding problem

ASJC Scopus subject areas

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


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