Abstract
Many approaches for studying the transmembrane potential (TMP) induced during the treatment of biological cells with pulsed electric fields have been reported. From the simple analytical models to more complex numerical models requiring significant computational resources, a gamut of methods have been used to recapitulate multicellular environments in silico. Cells have been modeled as simple shapes in two dimensions as well as more complex geometries attempting to replicate realistic cell shapes. In this study, we describe a method for extracting realistic cell morphologies from fluorescence microscopy images to generate the piecewise continuous mesh used to develop a finite element model in two dimensions. The preelectroporation TMP induced in tightly packed cells is analyzed for two sets of pulse parameters inspired by clinical irreversible electroporation treatments. We show that high-frequency bipolar pulse trains are better, and more homogeneously raise the TMP of tightly packed cells to a simulated electroporation threshold than conventional irreversible electroporation pulse trains, at the expense of larger applied potentials. Our results demonstrate the viability of our method and emphasize the importance of considering multicellular effects in the numerical models used for studying the response of biological tissues exposed to electric fields.
Original language | English |
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Pages (from-to) | 2286-2295 |
Number of pages | 10 |
Journal | Biophysical Journal |
Volume | 111 |
Issue number | 10 |
DOIs | |
State | Published - Nov 15 2016 |
Externally published | Yes |
Funding
The Lab-STICC is Unité Mixte de Recherche Centre National de la Recherche 6285. T.M. acknowledges support from the Ph.D. Grant program of Université de Brest as well as the Bioelectromechanical Systems (BEMS) Laboratory at Virginia Tech , Blacksburg, VA, for hosting him for the UBO Mobility Exchange Grant . The BEMS Laboratory acknowledges support received from the National Institutes of Health 5R21 CA173092-01 and National Science Foundation IGERT DGE-0966125 ( MultiSTEPS ) grant programs. A portion of this work was made possible thanks to the Projet Exploratoire grant from Université de Brest .
Funders | Funder number |
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Université de Brest | |
National Science Foundation | IGERT DGE-0966125 |
National Institutes of Health | |
National Cancer Institute | R21CA173092 |