Evidence map›Paper›PMID 22391486›Full record

ReviewMethods (San Diego, Calif.)2012

Cytometry: today's technology and tomorrow's horizons.

Pratip K Chattopadhyay, Mario Roederer

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review
  5. Review
  6. Article
  7. Towards personalized vaccines.Frontiers in immunology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advancement of Single-Cell Sequencing in Medulloblastoma.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

4 more citing papers are in PubMed but not listed here.

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.

Pratip K ChattopadhyayImmunoTechnology Section, VRC, NIAID, NIH, 40 Convent Dr., Room 5509, Bethesda, MD 20817, USA.
Mario Roederer

Funding

Flow Cytometry CoreZICAI005101 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2025
$25.7M
Functional And Phenotypic Characterization Of T Cells In ManZIAAI005021 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2022
$14.4M
Development Of Flow Cytometric Technologies For Immune AssaysZIAAI005020 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2019
$9.6M
Intramural NIH HHS Z99 AI999999Intramural NIH HHS ZIA AI005020Intramural NIH HHS ZIA AI005021
6 · The paper itself

Abstract

Flow cytometry has been the premier tool for single cell analysis since its invention in the 1960s. It has maintained this position through steady advances in technology and applications, becoming the main force behind interrogating the complexities of the immune system. Technology development was a three-pronged effort, including the hardware, reagents, and analysis algorithms to allow measurement of as many as 20 independent parameters on each cell, at tens of thousands of cells per second. In the coming years, cytometry technology will integrate with other techniques, such as transcriptomics, metabolomics, and so forth. Ongoing efforts are aimed at algorithms to analyse these aggregated datasaets over large numbers of samples. Here we review the development efforts heralding the next stage of flow cytometry.

Indexed as

AlgorithmsColorFlow CytometryFluorescent DyesForecastingHumansImage Processing, Computer-AssistedImmune SystemSingle-Cell AnalysisFluorescent Dyes

Identifiers

PMID22391486
PMCPMC3374038

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.