Evidence map›Paper›PMID 30558882›Full record

ArticleBiophysical journal2019

MyDEP: A New Computational Tool for Dielectric Modeling of Particles and Cells.

Jonathan Cottet, Olivier Fabregue, Charles Berger, François Buret, Philippe Renaud, Marie Frénéa-Robin

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Recent advances in single-cell subcellular sampling.Chemical communications (Cambridge, England) · 2023
    Review
  17. Article
  18. Review
  19. Review
  20. Review
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

6 authors.

Jonathan CottetUniversité Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, Ampère, Ecully, France; École Polytechnique Fédérale de Lausanne, EPFL-STI-IMT-LMIS4, Station 17, Lausanne, Switzerland. Electronic address: jonathan.cottet@epfl.ch.
Olivier FabregueUniversité Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, Ampère, Ecully, France.
Charles BergerUniversité Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, Ampère, Ecully, France.
François BuretUniversité Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, Ampère, Ecully, France.
Philippe RenaudÉcole Polytechnique Fédérale de Lausanne, EPFL-STI-IMT-LMIS4, Station 17, Lausanne, Switzerland.
Marie Frénéa-RobinUniversité Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, Ampère, Ecully, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dielectrophoresis (DEP) and electrorotation (ROT) are two electrokinetic phenomena exploiting nonuniform electric fields to exert a force or torque on biological particles suspended in liquid media. They are widely used in lab-on-chip devices for the manipulation, trapping, separation, and characterization of cells, microorganisms, and other particles. The DEP force and ROT torque depend on the respective polarizabilities of the particle and medium, which in turn depend on their dielectric properties and on the field frequency. In this work, we present a new software, MyDEP, which implements several particle models based on concentric shells with adjustable dielectric properties. This tool enables the study of the variation in DEP and ROT spectra according to different parameters, such as the field frequency and medium conductivity. Such predictions of particle behavior are very useful for choosing appropriate parameters in DEP experiments. The software also enables the study of the homogenized properties of spherical or ellipsoidal multishell particles and provides a database containing published cell properties. Equivalent electrical conductivity and relative permittivity of the cell alone and in suspension can be calculated. The software also offers the ability to create graphs of the evolution of the crossover frequencies with the electric field frequency. These graphs can be directly exported from the software.

Indexed as

Electric ImpedanceSoftwareCell SeparationElectrophoresisHEK293 CellsHumansMCF-7 CellsNanoparticlesParticulate MatterTorqueParticulate Matter

Identifiers

PMID30558882
PMCPMC6342686

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.