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Cited by 539

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Tissue shrinkage and unbiased stereological estimation of particle number and size*

Dorph‐Petersen, K.‐A., Nyengaard, J. R., Gundersen, H. J. G.·2001·Journal of Microscopy

Abstract

This paper is a review of the stereological problems related to the unbiased estimation of particle number and size when tissue deformation is present. The deformation may occur during the histological processing of the tissue. It is especially noted that the widely used optical disector may be biased by dimensional changes in the z‐axis, i.e. the direction perpendicular to the section plane. This is often the case when frozen sections or vibratome sections are used for the stereological measurements. The present paper introduces new estimators to be used in optical fractionator and optical disector designs; the first is, as usual, the simplest and most robust. Finally, it is stated that when tissue deformation only occurs in the z‐direction, unbiased estimation of particle size with several estimators is possible.

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Crossref · 10.1046/j.1365-2818.2001.00958.x

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Metadata

Authors
Dorph‐Petersen, K. ‐., Nyengaard, J. R., & Gundersen, H. J. G.
Venue
Journal of Microscopy
Publisher
Wiley
Published
2001-12
Volume
204
Issue
3
Pages
232-246
ISSN
  • 0022-2720 (ISSN-L)
  • 1365-2818
OpenAlex
W2037367554
Cited by
539
References
2
FWCI
28.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tissue shrinkage and unbiased stereological estimation of particle number and size*. https://app.cochat.ai/papers/10.1046/j.1365-2818.2001.00958.x
The paper
Dorph‐Petersen, K. ‐., Nyengaard, J. R., & Gundersen, H. J. G. (2001). Tissue shrinkage and unbiased stereological estimation of particle number and size*. Journal of Microscopy. https://doi.org/10.1046/j.1365-2818.2001.00958.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.