Unbiased Linear Property Estimation For Spheres From Sections Exhibiting Overprojection And Truncation

Clarke, KR; Moore, MN. 1983 Unbiased Linear Property Estimation For Spheres From Sections Exhibiting Overprojection And Truncation. Journal of Microscopy-Oxford, 131 (SEP). 311 - 322. 10.1111/j.1365-2818.1983.tb04257.x

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Abstract/Summary

In the biological sciences, stereological techniques are frequently used to infer changes in structural parameters (volume fraction, for example) between samples from different populations or subject to differing treatment regimes. Non-homogeneity of these parameters is virtually guaranteed, both between experimental animals and within the organ under consideration. A two-stage strategy is then desirable, the first stage involving unbiased estimation of the required parameter, separately for each experimental unit, the latter being defined as a subset of the organ for which homogeneity can reasonably be assumed. In the second stage, these point estimates are used as data inputs to a hierarchical analysis of variance, to distinguish treatment effects from variability between animals, for example. Techniques are therefore required for unbiased estimation of parameters from potentially small numbers of sample profiles. This paper derives unbiased estimates of linear properties in one special case—the sampling of spherical particles by transmission microscopy, when the section thickness is not negligible and the resulting circular profiles are subject to lower truncation. The derivation uses the general integral equation formulation of Nicholson (1970); the resulting formulae are simplified, algebraically, and their efficient computation discussed. Bias arising from variability in slice thickness is shown to be negligible in typical cases. The strategy is illustrated for data examining the effects, on the secondary lysosomes in the digestive cells, of exposure of the common mussel to hydrocarbons. Prolonged exposure, at 30 μg 1−1 total oil-derived hydrocarbons, is seen to increase the average volume of a lysosome, and the volume fraction that lysosomes occupy, but to reduce their number.

Item Type: Publication - Article
Additional Keywords: Stereology; section; spheres; truncation; linear property; unbiasedness; ANOVA; lysosomes
Subjects: Ecology and Environment
Marine Sciences
Divisions: Plymouth Marine Laboratory > Other (PML)
Depositing User: EPServices Admin
Date made live: 11 Feb 2014 15:54
Last Modified: 06 Jun 2017 16:03
URI: http://plymsea.ac.uk/id/eprint/2668

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