The DOI matches its Crossref record.
Optimizing sampling efficiency of stereological studies in biology: or ‘Do more less well!‘
Abstract
SUMMARY: The aim of the sampling design for stereology is to obtain the maximal amount of quantitative structural information at a given total cost or effort. Principles of such optimal designs are discussed and methods for generating them are illustrated by a biological example. In general, the variation between different individuals—the biological variation—is the major determinant of overall efficiency, whereas the variation between single microscopic features is unimportant. It follows that the expenditure of time and/or money in order to increase the precision of the individual measurements is irrational in almost all studies where the emphasis is on the biological results.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
GUNDERSEN, H. J. G., BENDTSEN, T. F., KORBO, L., MARCUSSEN, N., MØLLER, A., NIELSEN, K., NYENGAARD, J. R., PAKKENBERG, B., SØRENSEN, F. B., VESTERBY, A., et al. (1988) · APMIS · doi:10.1111/j.1699-0463.1988.tb05320.x · Cited by 2,929
Self-citationHippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017
The impact of recent stereological advances on quantitative studies of the nervous system
Brændgaard, H., & Gundersen, H. J. G. (1986) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(86)90112-3 · Cited by 503
Self-citationOn counting and counting errors
Guillery, R. W. (2002) · Journal of Comparative Neurology · doi:10.1002/cne.10221 · Cited by 343
Developmental Dynamics of the Definitive Mouse Placenta Assessed by Stereology1
Coan, P. M., Ferguson-Smith, A. C., & Burton, G. J. (2004) · Biology of Reproduction · doi:10.1095/biolreprod.103.024166 · Cited by 296
Metadata
- Authors
- Gundersen, H. J. G., & ØSterby, R.
- Venue
- Journal of Microscopy
- Publisher
- Wiley
- Published
- 1981-01
- Volume
- 121
- Issue
- 1
- Pages
- 65-73
- ISSN
- 0022-2720 (ISSN-L)
- 1365-2818
- OpenAlex
- W1985850221
- Cited by
- 534
- References
- 0
- FWCI
- 19.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimizing sampling efficiency of stereological studies in biology: or ‘Do more less well!‘. https://app.cochat.ai/papers/10.1111/j.1365-2818.1981.tb01199.x
- The paper
- Gundersen, H. J. G., & ØSterby, R. (1981). Optimizing sampling efficiency of stereological studies in biology: or ‘Do more less well!‘. Journal of Microscopy. https://doi.org/10.1111/j.1365-2818.1981.tb01199.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.
