Literature DB >> 11962763

Counting particles in tissue sections: choices of methods and importance of calibration to minimize biases.

C von Bartheld1.   

Abstract

Investigators must choose between counting methods to quantify microscopic particles in tissues. The conventional profile-based ("model-based" or "2D-") counting methods have been criticized for their potential biases due to assumptions about shapes, sizes, and orientation of particles when converting profile counts into cell numbers. New stereological methods ("design-based" or "3D-") methods such as the optical disector or physical disector were initially introduced as being inherently unbiased. Recent calibration analyses and comparisons of results from different investigators have revealed the potential for significant biases in the most efficient and most frequently used design-based method, the optical disector. This review aims to objectively assess the strengths and limitations of current profile- and disector-based cell counting methods by examination of studies in which these methods have been calibrated against the "gold-standard", counts obtained by 3-dimensional reconstruction of serial sections. Advantages and disadvantages of each counting method and the associated embedding and sectioning techniques are compared and frequent mistakes and pitfalls of each technique are discussed. The importance of a calibration step for each technique is emphasized, and a protocol is provided for a quick and simple calibration by a "sampling" 3-D reconstruction of limited serial sections. Trends in the usage of counting methods are analyzed in four major journals. It is hoped that this review will be helpful, for both investigators and manuscript reviewers, in clarifying some of the contentious issues in the choice and implementation of appropriate methods for particle counting in tissue sections.

Mesh:

Year:  2002        PMID: 11962763     DOI: 10.14670/HH-17.639

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  26 in total

Review 1.  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

2.  A comparison of model-based (2D) and design-based (3D) stereological methods for estimating cell number in the substantia nigra pars compacta (SNpc) of the C57BL/6J mouse.

Authors:  Z C Baquet; D Williams; J Brody; R J Smeyne
Journal:  Neuroscience       Date:  2009-04-17       Impact factor: 3.590

3.  How to count cells: the advantages and disadvantages of the isotropic fractionator compared with stereology.

Authors:  Suzana Herculano-Houzel; Christopher S von Bartheld; Daniel J Miller; Jon H Kaas
Journal:  Cell Tissue Res       Date:  2015-03-05       Impact factor: 5.249

Review 4.  Myths and truths about the cellular composition of the human brain: A review of influential concepts.

Authors:  Christopher S von Bartheld
Journal:  J Chem Neuroanat       Date:  2017-09-02       Impact factor: 3.052

5.  Mesenchymal Stem Cell-Derived Exosomes Improve Functional Recovery in Rats After Traumatic Brain Injury: A Dose-Response and Therapeutic Window Study.

Authors:  Yanlu Zhang; Yi Zhang; Michael Chopp; Zheng Gang Zhang; Asim Mahmood; Ye Xiong
Journal:  Neurorehabil Neural Repair       Date:  2020-05-28       Impact factor: 3.919

6.  Validation of the isotropic fractionator: comparison with unbiased stereology and DNA extraction for quantification of glial cells.

Authors:  Jami Bahney; Christopher S von Bartheld
Journal:  J Neurosci Methods       Date:  2013-11-12       Impact factor: 2.390

Review 7.  Analysis of morphological changes as a key method in studying psychiatric animal models.

Authors:  Oliver von Bohlen und Halbach
Journal:  Cell Tissue Res       Date:  2013-01-20       Impact factor: 5.249

Review 8.  The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting.

Authors:  Christopher S von Bartheld; Jami Bahney; Suzana Herculano-Houzel
Journal:  J Comp Neurol       Date:  2016-06-16       Impact factor: 3.215

9.  The efficiency of design-based stereology in estimating spiral ganglion populations in mice.

Authors:  Amy E Schettino; Amanda M Lauer
Journal:  Hear Res       Date:  2013-07-20       Impact factor: 3.208

10.  Distribution of Particles in the Z-axis of Tissue Sections: Relevance for Counting Methods.

Authors:  Christopher S von Bartheld
Journal:  Neuroquantology       Date:  2012
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