Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 670

The DOI matches its Crossref record.

Flow Cytometry and Sorting

Open access
Dive, C·1991·British Journal of Cancer

Abstract

Flow cytometry offers important advantages for the study of tumour cell biology. In particular, this powerful technique allows the identification of cell subpopulations within heterogeneous cell samples and permits simultaneous measurement and correlation of multiple cellular parameters. The explosion in flow cytometric analysis since 1979 when the first edition of 'Flow Cytometry and Sorting' was published, is reflected by the sheer size and weight and the small print used in this long awaited Second Edition! It is clearly not intended as 'an easy to follow' introduction to Flow Cytometry, however all established flow cytometry laboratories should certainly replace their now far outdated first edition. In order to follow Flow Cytometry and Sorting in its entirity the reader would need a working knowledge of at least physics, engineering, and computer science, together with fluorescence techniques and biochemistry and immunology! This edition is ambitious, comprising 39 chapters written by 70 authors expert in their area of flow cytometry. The chapters are divided into eight parts. Each chapter has been for the most part rewritten, and there are several additional

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/bjc.1991.361

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 670

Metadata

Authors
Dive, C.
Venue
British Journal of Cancer
Published
1991-09-01
Volume
64
Issue
3
Pages
610-610
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2057900932
Cited by
670
References
0
Type
book review
Language
en
Open access
green

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: Flow Cytometry and Sorting. https://app.cochat.ai/papers/10.1038/bjc.1991.361
The paper
Dive, C. (1991). Flow Cytometry and Sorting. British Journal of Cancer. https://doi.org/10.1038/bjc.1991.361

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.