Evidence map›Paper›PMID 40550982›Full record

ArticleMikrochimica acta2025

Smartphone-based "monitoring workstation" for contamination-free and on-site colorimetric detection of living cells.

Huixia Di, Min Zhao, Huibin Cheng, Yadi Wang, Xiaochun Li

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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.

Huixia DiInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China. dihuixia@tyut.edu.cn.
Min ZhaoInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Huibin ChengInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Yadi WangInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Xiaochun LiInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China. lixiaochun@tyut.edu.cn.

Funding

the National Natural Science Foundation 21874098the National Natural Science Foundation 22104107the Natural Science Foundation of Shanxi Province 20210302124215the Natural Science Foundation of Shanxi Province 202303021221027
6 · The paper itself

Abstract

A smartphone-based "monitoring workstation" (SMW) for living cells has been developed, which is coupled with an independent complementary metal-oxide-semiconductor (CMOS) image sensor and is compatible with any smartphone for rapid determination through digital image colorimetry (DIC). This SMW system encompasses multifunctional modules, such as high-quality image acquisition, synchronous data storage, wireless transmission, and automated data analysis. Our focus has been on routine and labor-intensive cell detection tasks, including cell viability, protein quantification, and lipid measurement, which can be achieved rapidly on-site with a custom-developed software installed in a smartphone. Consequently, this SMW system offers a promising platform for colorimetric point-of-care test (POCT) that is rapid, simple, cost-effective, and highly accurate, and it is not limited to any particular type or brand of smartphone.

Indexed as

ColorimetrySmartphoneCell SurvivalHumansPoint-of-Care SystemsSemiconductorsCMOS image sensorColorimetric assayDigital image colorimetrySmartphone-assisted detection

Identifiers

PMID40550982

What OpenQuestion holds

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Registered trials

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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.