Evidence map›Paper›PMID 38887791›Full record

ArticleToxicology mechanisms and methods2024

Comparing automated cell imaging with conventional methods of measuring cell proliferation and viability.

Therese Featherston, Shaya Helem, Leon C D Smyth, Mark B Hampton, Martina Paumann-Page

Abstract readComparative Study
In one paragraph

Article in Toxicology mechanisms and methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Therese FeatherstonMātai Hāora - Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Ōtautahi Christchurch, Aotearoa New Zealand.
Shaya HelemMātai Hāora - Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Ōtautahi Christchurch, Aotearoa New Zealand.
Leon C D SmythMātai Hāora - Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Ōtautahi Christchurch, Aotearoa New Zealand.
Mark B HamptonMātai Hāora - Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Ōtautahi Christchurch, Aotearoa New Zealand.
Martina Paumann-PageMātai Hāora - Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Ōtautahi Christchurch, Aotearoa New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to assess cell proliferation and viability is essential for assessing new drug treatments, particularly in cancer drug discovery. This study describes a new method that uses a plate reader digital microscopy cell imaging and analysis system to assess cell proliferation and viability. This imaging system utilizes high throughput fluorescence microscopy with two fluorescent probes: cell membrane-impermeable SYTOX green and nuclear binding Hoechst-33342. Here we compare this technology to other known viability assays, namely: propidium iodide (PI)-based flow cytometry, and sulforhodamine B (SRB) and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) based plate reader assays. These methods were assessed based on their effectiveness in detecting the cell numbers of two adherent cell lines and one suspension cell line. Automated cell imaging was most accurate at measuring cell number in both adherent and suspension cell lines. The PI-based flow cytometry method was more difficult to use with adherent cells, while the SRB and MTT assays had difficulties when monitoring cells in suspension. Despite these challenges, it was possible to obtain similar results when quantifying the effect of cytotoxic compounds. This study demonstrates that the digital microscopy automated cell imaging system is an effective method for assessing cell proliferation and the cytotoxic effect of compounds on both adherent and suspension cell lines.

Indexed as

Cell ProliferationCell SurvivalMicroscopy, FluorescenceCell Line, TumorFlow CytometryFluorescent DyesHumansTetrazolium SaltsFluorescent DyesTetrazolium Saltsautomated microscopycytotoxicityflow cytometryProliferationviability

Identifiers

PMID38887791
PMCPMC11441402

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.