Software Open Access

MyDEP: a new computational tool for dielectric modeling of particles and cells

Jonathan Cottet; Olivier Fabregue; Charles Berger; Francois Buret; Philippe Renaud; Marie Frénéa-Robin

Before performing experiments in the lab with dielectrophoresis (DEP), it is useful to predict the particle and cell responses to the electric field. This requires knowledge of particles or cells properties, which can be obtained from the literature, and implementation of equations related to the particle model.

MyDEP is a computational software, programmed in Java, aiming to study dielectrophoretic behavior of particles and cells in a suspended medium. More precisely the software can calculate and display the Clausius-Mossotti factor (real and imaginary parts) used in DEP for different conditions (Medium, frequency range, model of particle). It can also calculate the equivalent permittivities and conductivities of particles alone and in suspension in a medium thanks to the Maxwell-Garnett and Hanai equations. Graphs representing crossover frequencies vs electrical conductivity of the medium are also available.

The program allows the user to specify the electrical as well as the geometrical parameters of the investigated particle. No prior knowledge of the equations behind is required to use the software, which makes it interesting for users non-familiar with DEP. We also provide a database collecting informations from the literature to help the user to start with already existing models. The user can also enrich the database with new information.

%% What is new in MyDEP.1.0.1 ?

* Possibility to add an annotation and to change the related parameters
* Possibility to add points to a crossover graph
* Detection of the new version of MyDEP and download
* Tooltip corrections
* New min and max values for the graphs
* New database format
* Bugs correction

Files (10.9 MB)
Name Size
10.9 MB Download
  • Cottet, Jonathan, Fabregue, Olivier, Berger, Charles, Buret, François, Renaud, Philippe & Frénéa-Robin, Marie. MyDEP: a new computational tool for dielectric modeling of particles and cells. Biophysical Journal, doi: 10.1016/j.bpj.2018.11.021 (2018).

All versions This version
Views 2,6122,116
Downloads 1,5291,352
Data volume 16.7 GB14.7 GB
Unique views 2,1191,799
Unique downloads 1,2731,153


Cite as