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Estimation of surface area from vertical sections

Baddeley, A. J., Gundersen, H. J. G., Cruz‐Orive, L. M.·1986·Journal of Microscopy

Abstract

SUMMARY: ‘Vertical’ sections are plane sections longitudinal to a fixed (but arbitrary) axial direction. Examples are sections of a cylinder parallel to the central axis; and sections of a flat slab normal to the plane of the slab. Vertical sections of any object can be generated by placing the object on a table and taking sections perpendicular to the plane of the table. The standard methods of stereology assume isotropic random sections, and are not applicable to this kind of biased sampling. However, by using specially designed test systems, one can obtain an unbiased estimate of surface area. General principles of stereology for vertical sections are outlined. No assumptions are necessary about the shape or orientation distribution of the structure. Vertical section stereology is valid on the same terms as standard stereological methods for isotropic random sections. The range of structural quantities that can be estimated from vertical sections includes V v, N v, S v and the volume‐weighted mean particle volume v̄v, but not L v. There is complete freedom to choose the vertical axis direction, which makes the sampling procedure simple and ‘natural’. Practical sampling procedures for implementation of the ideas are described, and illustrated by examples.

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Metadata

Authors
Baddeley, A. J., Gundersen, H. J. G., & Cruz‐Orive, L. M.
Venue
Journal of Microscopy
Publisher
Wiley
Published
1986-06
Volume
142
Issue
3
Pages
259-276
ISSN
  • 0022-2720 (ISSN-L)
  • 1365-2818
OpenAlex
W2114150652
Cited by
1,058
References
0
FWCI
35.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation of surface area from vertical sections. https://app.cochat.ai/papers/10.1111/j.1365-2818.1986.tb04282.x
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Baddeley, A. J., Gundersen, H. J. G., & Cruz‐Orive, L. M. (1986). Estimation of surface area from vertical sections. Journal of Microscopy. https://doi.org/10.1111/j.1365-2818.1986.tb04282.x

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

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