Cited by 97Clinical Laboratory Practices and Quality ControlCell Image Analysis TechniquesProbability and Statistical Research

Rare-Event Analysis in Flow Cytometry

Donnenberg, Albert D., Donnenberg, Vera S.·2007·Clinics in Laboratory Medicine

Abstract

Technical aspects of rare-event detection are discussed in this article in a practical context, with two real-life examples. A growing number of flow cytometry-based assays depend on rare-event detection for basic science and clinical applications.

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Crossref · 10.1016/j.cll.2007.05.013

Cites

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  • The record claimed in the literature for tumor cells spiked in peripheral blood is one cell in 10 million.

    “The term “rare” generally refers to events with a frequency of 0.01% or less, although the record claimed in the literature has long stood at one cell in 10 million for tumor cells spiked in the peripheral blood [96, 97].”

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References 67 · Cited by 97

Authors
Donnenberg, A. D., & Donnenberg, V. S.
Affiliations
University of Pittsburgh (US)
Corresponding author
Donnenberg, Albert D.
Venue
Clinics in Laboratory Medicine
Publisher
Elsevier BV
Published
2007-09
Volume
27
Issue
3
Pages
627-652
ISSN
0272-2712 (ISSN-L)
OpenAlex
W2075164322
Cited by
97
References
67
Citations by year
2026: 4 · 2025: 1 · 2024: 7 · 2023: 7 · 2022: 8 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 7 · 2016: 8 · 2015: 3 · 2014: 5 · 2013: 4 · 2012: 5
FWCI
0.61
Type
journal article
Language
en
Open access
closed
Locations
  • Clinics in Laboratory Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Arthritis and Musculoskeletal and Skin Diseases (N01 AR 92239)
Topics
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords
rare event detection, flow cytometry
MeSH terms
Flow Cytometry, Humans, Sensitivity and Specificity, Reproducibility of Results, Immunophenotyping

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.

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