Evidence map›Paper›PMID 31798587›Full record

ReviewFrontiers in immunology2019

Mass Cytometry Imaging for the Study of Human Diseases-Applications and Data Analysis Strategies.

Heeva Baharlou, Nicolas P Canete, Anthony L Cunningham, Andrew N Harman, Ellis Patrick

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Article
  5. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Review

42 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

5 authors.

Heeva BaharlouThe Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.
Nicolas P CaneteThe Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.
Anthony L CunninghamThe Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.
Andrew N HarmanThe Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.
Ellis PatrickThe Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High parameter imaging is an important tool in the life sciences for both discovery and healthcare applications. Imaging Mass Cytometry (IMC) and Multiplexed Ion Beam Imaging (MIBI) are two relatively recent technologies which enable clinical samples to be simultaneously analyzed for up to 40 parameters at subcellular resolution. Importantly, these "Mass Cytometry Imaging" (MCI) modalities are being rapidly adopted for studies of the immune system in both health and disease. In this review we discuss, first, the various applications of MCI to date. Second, due to the inherent challenge of analyzing high parameter spatial data, we discuss the various approaches that have been employed for the processing and analysis of data from MCI experiments.

Indexed as

Data AnalysisFlow CytometryHumansImage Cytometryanalysiscytometryimaging cytometryimaging mass cytometry (IMC)mass cytometry (CyTOF)multiplexed imagingmultiplexed ion beam imagingsingle cell

Identifiers

PMID31798587
PMCPMC6868098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.