Evidence map›Paper›PMID 41286061›Full record

ArticleScientific reports2025

Distribution of relaxation times as a tool to monitor tissue electroporation.

Théo Le Berre, Damien Voyer, Guilhem Rival, Marie Frénéa-Robin, Julien Marchalot

Abstract read
In one paragraph

Article in Scientific reports, 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.

Théo Le BerreAmpere, UMR5005, Ecole Centrale de Lyon, INSA Lyon, CNRS, Universite Claude Bernard Lyon 1, 69130, Ecully, France.
Damien VoyerEIGSI Lab, 17041, La Rochelle, France. voyer@eigsi.fr.
Guilhem RivalLGEF, UR682, INSA Lyon, 69621, Villeurbanne, France.
Marie Frénéa-RobinAmpere, UMR5005, Ecole Centrale de Lyon, INSA Lyon, CNRS, Universite Claude Bernard Lyon 1, 69130, Ecully, France.
Julien MarchalotAmpere, UMR5005, Ecole Centrale de Lyon, INSA Lyon, CNRS, Universite Claude Bernard Lyon 1, 69130, Ecully, France.

Funding

ITMO Cancer of Avisesan within the framework of the 2021-2030 Cancer Control Strategy, on funds administered by Inserm
6 · The paper itself

Abstract

In this paper, the effect of electroporation on tissue is studied using the concept of distribution of relaxation times (DRT). DRT is an alternative to traditional electrical impedance spectroscopy, where measurement data are analyzed on a time scale rather than in the frequency domain. Applied to biological tissue, this approach is shown to remove the contribution of the electrode polarization in a 2-electrode system in a simple way. DRT also makes it easy to differentiate between dispersions associated with the different compartments of the tissue (counterion cloud, cell membrane, cell content and cell nucleus) and quantify their contribution to the total DC resistance. The study of plant tissue samples reveals the wide spread of the β dispersion related to cell membrane polarization, which can be explained not only by the variable size of cells but also by the variable content of cells. The effects of electroporation can also be analyzed precisely. In particular, the irreversible electroporation threshold varies according to the cell content, as confirmed by electroporation simulations. In the electric field range of reversible electroporation, the shape of the DRT related to the β dispersion is significantly modified, while the DC resistance remains constant. One explanation is put forward, involving the counterions cloud whose spatial distribution is altered after the application of the electric field.

Indexed as

ElectroporationCell MembraneElectric ImpedanceElectrodesCell membraneElectroporationImpedance spectroscopy

Identifiers

PMID41286061
PMCPMC12644780

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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.