Evidence map›Paper›PMID 39013939›Full record

ArticleScientific reports2024

Reproducibility analysis of bioimpedance-based self-developed live cell assays.

Zoltan Vizvari, Nina Gyorfi, Gergo Maczko, Reka Varga, Rita Jakabfi-Csepregi, Zoltan Sari, Andras Furedi, Eszter Bajtai, Flora Vajda, Vladimir Tadic and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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

13 authors.

Zoltan VizvariDepartment of Environmental Engineering, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 2, Pecs, 7624, Hungary. vizvari.zoltan@mik.pte.hu.
Nina GyorfiMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Gergo MaczkoMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Reka VargaMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Rita Jakabfi-CsepregiMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Zoltan SariMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Andras FurediInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Eszter BajtaiInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Flora VajdaInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Vladimir TadicSymbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
Peter OdrySymbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
Zoltan KaradiInstitute of Physiology, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.
Attila TothMultidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioimpedance spectrum (BIS) measurements have a great future in in vitro experiments, meeting all the requirements for non-destructive and label-free methods. Nevertheless, a real basic research can provide the necessary milestones to achieve the success of the method. In this paper a self-developed technology-based approach for in vitro assays is proposed. Authors invented a special graphene-based measuring plate in order to assess the high sensitivity and reproducibility of introduced technique. The design of the self-produced BIS plates maximizes the detection capacity of qualitative changes in cell culture and it is robust against physical effects and artifacts. The plates do not influence the viability and proliferation, however the results are robust, stable and reproducible regardless of when and where the experiments are carried out. In this study, physiological saline concentrations, two cancer and stem cell lines were utilized. All the results were statistically tested and confirmed. The findings of the assays show, that the introduced BIS technology is appropriate to be used in vitro experiments with high efficacy. The experimental results demonstrate high correlation values across the replicates, and the model parameters suggested that the characteristic differences among the various cell lines can be detected using appropriate hypothesis tests.

Indexed as

Electric ImpedanceCell Line, TumorCell ProliferationCell SurvivalDielectric SpectroscopyGraphiteHumansReproducibility of ResultsGraphite

Identifiers

PMID39013939
PMCPMC11252348

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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.