Evidence map›Paper›PMID 23335161›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2013

A trigger channel threshold artifact in nanoparticle analysis.

John P Nolan, Samuel A Stoner

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  14. The Methods of Choice for Extracellular Vesicles (EVs) Characterization.International journal of molecular sciences · 2017
    Review
  15. Review
  16. Article
  17. Extracellular Vesicle Flow Cytometry Analysis and Standardization.Frontiers in cell and developmental biology · 2017
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

John P NolanLa Jolla Bioengineering Institute, San Diego, California 92037, USA. jnolan@ljbi.org
Samuel A Stoner

Funding

Raman Flow Cytometry for Diagnostics and Drug DiscoveryR01EB003824 · NIBIB · SCINTILLON INSTITUTE FOR PHOTOBIOLOGY · PI NOLAN, JOHN P · 2004 to 2014
$12.2M
NIBIB NIH HHS EB003824NIBIB NIH HHS R01 EB003824
6 · The paper itself

Abstract

The analysis of individual nanoparticles by flow cytometry involves the measurement of dim signals that are near the detection limits of the instrument. Discriminating the signal from particles of interest from that of background particles in buffers and from optical and electronic noise can be challenging, and requires careful consideration of the measurement approach, control experiments, and scrutiny of the resulting data. In applying this scrutiny, we have come to recognize an artifact that results from the inappropriate selection of the trigger channel threshold that might not be obvious to the casual user. When measuring dim signals close to the noise or background levels, it is intuitive and common for the operator to adjust the trigger threshold to minimize the "false triggers" acquired by the system, and then to run the unknown sample, interpreting the events detected above the background as measurements of individual particles. We show here that when this approach is used to measure particles whose signals fall below the trigger threshold, only coincident events are detected, producing erroneous measurements of both particle number and brightness. We suggest that in many cases, the analysis of dim nanoparticles is best achieved using a fluorescence channel for the trigger.

Indexed as

ArtifactsFlow CytometryFluorescenceLimit of DetectionNanoparticlesSignal-To-Noise Ratio

Identifiers

PMID23335161
PMCPMC3578978

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.