Evidence map›Paper›PMID 22740345›Full record

ReviewThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2012

Imaging flow cytometry: coping with heterogeneity in biological systems.

Natasha S Barteneva, Elizaveta Fasler-Kan, Ivan A Vorobjev

Open access · bronzeAbstract readReview
In one paragraph

Review in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

73 citing papers in PubMed, 187 citations in OpenAlex.

  1. Article
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  4. Review
  5. Highly Efficient Calibration-Free Color Compensation Algorithm for Imaging Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025
    Article
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13 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

3 authors at 2 institutions in 3 countries.

Natasha S BartenevaImmune Disease Institute and Program in Cellular and Molecular Medicine, Children's Hospital Boston and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA. barteneva@idi.harvard.edu
Elizaveta Fasler-Kan
Ivan A Vorobjev
Harvard University · USFHNW University of Applied Sciences and Arts · CH

Funding

Biocontained ImageStream 100 Multispectral Imaging CytometerS10RR023459 · NCRR · IMMUNE DISEASE INSTITUTE, INC. · PI LIEBERMAN, JUDY · 2007 to 2007
$358k
NCRR NIH HHS S10 RR023459
6 · The paper itself

Abstract

Imaging flow cytometry (IFC) platforms combine features of flow cytometry and fluorescent microscopy with advances in data-processing algorithms. IFC allows multiparametric fluorescent and morphological analysis of thousands of cellular events and has the unique capability of identifying collected events by their real images. IFC allows the analysis of heterogeneous cell populations, where one of the cellular components has low expression (<0.03%) and can be described by Poisson distribution. With the help of IFC, one can address a critical question of statistical analysis of subcellular distribution of proteins in a cell. Here the authors review advantages of IFC in comparison with more traditional technologies, such as Western blotting and flow cytometry (FC), as well as new high-throughput fluorescent microscopy (HTFM), and discuss further developments of this novel analytical technique.

Indexed as

AnimalsArtifactsFlow CytometryHumansMicroscopy, FluorescencePoisson DistributionSignal Transduction

Identifiers

PMID22740345
PMCPMC3524563
OpenAlexW2054323370

What OpenQuestion holds

Textmetadata
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.