Evidence map›Paper›PMID 34006858›Full record

ArticleNPJ systems biology and applications2021

The in vitro micronucleus assay using imaging flow cytometry and deep learning.

Matthew A Rodrigues, Christine E Probst, Artiom Zayats, Bryan Davidson, Michael Riedel, Yang Li, Vidya Venkatachalam

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Micronuclei: origins, assays, mechanisms, diseases and treatments.Signal transduction and targeted therapy · 2026
    Review
  3. Review
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Application of image-recognition techniques to automated micronucleus detection in the in vitro micronucleus assay.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
    Article
  16. Article
  17. Development of high-throughput systems for biodosimetry.Radiation protection dosimetry · 2023
    Article
  18. Review
  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

7 authors at 1 institution in 1 country.

Matthew A RodriguesAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA. mrodrigues@luminexcorp.com.
Christine E ProbstAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Artiom ZayatsAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Bryan DavidsonAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Michael RiedelAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Yang LiAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Vidya VenkatachalamAmnis Flow Cytometry, Luminex Corporation, Seattle, WA, USA.
Luminex (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The in vitro micronucleus (MN) assay is a well-established assay for quantification of DNA damage, and is required by regulatory bodies worldwide to screen chemicals for genetic toxicity. The MN assay is performed in two variations: scoring MN in cytokinesis-blocked binucleated cells or directly in unblocked mononucleated cells. Several methods have been developed to score the MN assay, including manual and automated microscopy, and conventional flow cytometry, each with advantages and limitations. Previously, we applied imaging flow cytometry (IFC) using the ImageStream

Indexed as

Deep LearningCell NucleusCytokinesisFlow CytometryMicronucleus Tests

Identifiers

PMID34006858
PMCPMC8131758
OpenAlexW3163743050

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.