The Importance of Subcellular Structures to the Modeling of Biological Cells in the Context of Computational Bioelectromagnetics Simulations
Kevin Jerbic, Jan Taro Svejda, Benedikt Sievert, Andreas Rennings,, J\"urg Fr\"ohlich, Daniel Erni

TL;DR
This study develops a detailed FEM-based modeling approach to analyze electromagnetic interactions within eukaryotic cells, emphasizing the role of subcellular structures like membranes at 5G frequencies for accurate bioelectromagnetic simulations.
Contribution
It introduces a novel method for spatially accurate current and power density calculation in single cells with internal complexity, advancing multicellular tissue modeling in bioelectromagnetics.
Findings
Membranes significantly contribute to absorption at 5G frequencies.
Cell internal structures influence electric field distribution.
Dispersive properties affect current and power densities.
Abstract
Numerical investigation of the interaction of electromagnetic fields with eukaryotic cells requires specifically adapted computer models. Virtual microdosimetry, used to investigate exposure, requires volumetric cell models, which are numerically challenging. For this reason, a method is presented here to determine the current and power densities occurring in single cells and their distinct compartments in a spatially accurate manner as a first step towards multicellular models within the microstructure of tissue layers. To achieve this, 3D models of the electromagnetic exposure of generic eukaryotic cells of different shape (i.e. spherical and ellipsoidal) and internal complexity (i.e. different organelles) are performed in a virtual, FEM-based capacitor experiment in the frequency range from 10 Hz to 100 GHz. In this context, the spectral response of the current and power distribution…
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Taxonomy
TopicsElectromagnetic Fields and Biological Effects · Microbial Inactivation Methods · Wireless Body Area Networks
