Evidence map›Paper›PMID 40256511›Full record

ArticleACS omega2025

Gray Frequency-Based Methodology for Assessing Cell Damage.

Anqi Li, Linying Zhao, Changyu Liu, Xiaolong Xu, Jianbo Jia

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anqi LiJiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, School of Environmental and Chemical Engineering; Carbon Neutrality Innovation Center, Wuyi University, Jiangmen 529020, China.
Linying ZhaoJiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, School of Environmental and Chemical Engineering; Carbon Neutrality Innovation Center, Wuyi University, Jiangmen 529020, China.
Changyu LiuJiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, School of Environmental and Chemical Engineering; Carbon Neutrality Innovation Center, Wuyi University, Jiangmen 529020, China.ORCID https://orcid.org/0000-0003-2717-3684
Xiaolong XuJiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, School of Environmental and Chemical Engineering; Carbon Neutrality Innovation Center, Wuyi University, Jiangmen 529020, China.
Jianbo JiaJiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, School of Environmental and Chemical Engineering; Carbon Neutrality Innovation Center, Wuyi University, Jiangmen 529020, China.ORCID https://orcid.org/0000-0003-0671-1527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell biology techniques offer a solid foundation for evaluating and forecasting the danger of pollutants in the investigations of environmental toxicology. Studies on ecological toxicity, medication development, and illness diagnosis depend on evaluating cellular damage. The morphology of stimulated cells can alter the light scattering and reflection, and the brightness of microscopic images of the cells. This study demonstrated that stimulation-damaged and normal cells had distinct gray value distributions which led to the proposal of a novel theory to measure cellular damage by image brightness. Second, various cell types were used to confirm the method's applicability. Additionally, an evaluation technique based on gray frequency analysis can be created to determine the extent of cellular damage. This approach provides an effective and helpful tool for cellular damage visualization and quantitative evaluation in environmental toxicity assessment.

Identifiers

PMID40256511
PMCPMC12004167

What OpenQuestion holds

Textmetadata
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.