Literature DB >> 3553604

Particle number can be estimated using a disector of unknown thickness: the selector.

L M Cruz-Orive.   

Abstract

A new stereological method is presented whereby the number of particles in a material can be estimated unbiasedly using a few parallel sections from a block of the material, without having to know either section thickness or the distance between sections, and irrespective of particle size, shape and orientation. All that is needed is the final magnification. The method consists of three steps. Firstly, a few particles are sampled with identical probabilities using a disector (Sterio, 1984) of unknown thickness, namely a selector. Secondly, the volume of each sampled particle is unbiasedly estimated by means of point-sampled intercepts (Gundersen & Jensen, 1985) on a few particle transects. Thus, the mean individual particle volume vN in the population is estimated directly without having to refer to any containing volume. Finally, the particle volume fraction VV is estimated on a random section (by point-counting, say) and the numerical density of particles is estimated via the identity NV = VV/vN. Multiplying the estimate of NV with the reference volume we get an estimate of the total number of particles. The selector may be used not only for counting but also for choosing particles with identical probabilities in order to make, say, serial reconstructions of them. The practical details of the counting method are explained with the aid of a worked synthetic example and a real one involving hepatocytic nuclei. The mathematical proofs are given in two appendices.

Mesh:

Year:  1987        PMID: 3553604

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  26 in total

1.  Extending unbiased stereology of brain ultrastructure to three-dimensional volumes.

Authors:  J C Fiala; K M Harris
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

Review 2.  The use of design-based stereology to evaluate volumes and numbers in the liver: a review with practical guidelines.

Authors:  Ricardo Marcos; Rogério A F Monteiro; Eduardo Rocha
Journal:  J Anat       Date:  2012-02-01       Impact factor: 2.610

3.  Comparative morphometry of the mammalian brain: estimates of cerebral volumes and cortical surface areas obtained from macroscopic slices.

Authors:  T M Mayhew; G L Mwamengele; V Dantzer
Journal:  J Anat       Date:  1990-10       Impact factor: 2.610

4.  A sampling scheme intended for tandem measurements of sodium transport and microvillous surface area in the coprodaeal epithelium of hens on high- and low-salt diets.

Authors:  T M Mayhew; V Dantzer; V S Elbrønd; E Skadhauge
Journal:  J Anat       Date:  1990-12       Impact factor: 2.610

5.  Quantitative analysis of the feline dorsal column nuclei and their GABAergic and non-GABAergic neurons.

Authors:  R Heino; J Westman
Journal:  Anat Embryol (Berl)       Date:  1991

Review 6.  Efficient quantitative morphological phenotyping of genetically altered organisms using stereology.

Authors:  John Milton Lucocq
Journal:  Transgenic Res       Date:  2006-11-14       Impact factor: 2.788

7.  Effect of severe calorie restriction on the lung in two strains of mice.

Authors:  John M Bishai; Wayne Mitzner
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-05-30       Impact factor: 5.464

Review 8.  If you assume, you can make an ass out of u and me': a decade of the disector for stereological counting of particles in 3D space.

Authors:  T M Mayhew; H J Gundersen
Journal:  J Anat       Date:  1996-02       Impact factor: 2.610

9.  Stereological estimates of nuclear number in human ventricular cardiomyocytes before and after birth obtained using physical disectors.

Authors:  T M Mayhew; A Pharaoh; A Austin; D G Fagan
Journal:  J Anat       Date:  1997-07       Impact factor: 2.610

10.  Unbiased and efficient estimation of total ventricular volume of the brain obtained from CT-scans by a stereological method.

Authors:  B Pakkenberg; J Boesen; M Albeck; F Gjerris
Journal:  Neuroradiology       Date:  1989       Impact factor: 2.804

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