Evidence map›Paper›PMID 27461256›Full record

ReviewMethods (San Diego, Calif.)2017

Masks in imaging flow cytometry.

Venina Dominical, Leigh Samsel, J Philip McCoy

Open access · greenAbstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

24 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. mBio · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Imaging flow cytometry: a primer.Nature reviews. Methods primers · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

3 authors at 1 institution in 1 country.

Venina DominicalNational Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, United States.
Leigh SamselNational Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, United States.
J Philip McCoyNational Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, United States. Electronic address: mccoyj@nhlbi.nih.gov.
National Heart Lung and Blood Institute · US

Funding

Flow Cytometry Core FacilityZICHL005905 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI DAGUR, PRADEEP · 2009 to 2025
$32.3M
Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIC HL005905
6 · The paper itself

Abstract

Data analysis in imaging flow cytometry incorporates elements of flow cytometry together with other aspects of morphological analysis of images. A crucial early step in this analysis is the creation of a mask to distinguish the portion of the image upon which further examination of specified features can be performed. Default masks are provided by the manufacturer of the imaging flow cytometer but additional custom masks can be created by the individual user for specific applications. Flawed or inaccurate masks can have a substantial negative impact on the overall analysis of a sample, thus great care must be taken to ensure the accuracy of masks. Here we discuss various types of masks and cite examples of their use. Furthermore we provide our insight for how to approach selecting and assessing the optimal mask for a specific analysis.

Indexed as

Data AnonymizationFlow CytometryHumansImage CytometryImage Interpretation, Computer-AssistedMicroscopy, FluorescenceSoftwareData analysisFeaturesImageStreamImaging flow cytometryMask

Identifiers

PMID27461256
PMCPMC5205551
OpenAlexW2505796943

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.