Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/660134

Nonlinear Dispersive Cell Model for Microdosimetry of Nanosecond Pulsed Electric Fields

Guo, F.·Zhang, L.·Liu, X.
View original source ↗Export metadata ↓

Abstract

For nanosecond pulsed electric fields (nsPEFs) based application, the underlying transmembrane potential (TMP) distribution of the plasma membrane is influenced by electroporation (EP) of the plasma membrane and dispersion (DP) of all cell compartments and is important for predicting the bioelectric effects. In this study, we analysed temporal and spatial distribution of TMP induced by nsPEFs of various durations (3 ns, 5 ns unipolar, 5 ns bipolar, and 10 ns) with the consideration of both DP and EP. Based on the double-shelled dielectric spherical cell model, we used second-order Debye equation to characterize the dielectric relaxation of plasma membrane and nuclear membrane in the frequency domain and transformed the Debye equation into the time domain with the introduction of polarization vector, then we obtained the time course of TMP by solving the combination of Laplace equation and time-domain Debye equation. Next, we used the asymptotic version of the smoluchowski equation to characterize electroporation of plasma membrane and added it to our model to achieve the temporal and spatial distribution of TMP and pore density. Much faster and more pronounced increased in TMP can be found with the consideration of dielectric relaxation of plasma membrane and nuclear membrane, and much larger electroporated area of at least half of the plasma membrane was obtained with the consideration of both DP and EP. Through the simulation it is clearer to understand the relationship.

Source connections

Explore related subjects

bioengineeringPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Guo, F., Zhang, L., Liu, X.. 2019-06-04. Nonlinear Dispersive Cell Model for Microdosimetry of Nanosecond Pulsed Electric Fields. https://doi.org/10.1101/660134

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

A Three-Dimensional Bioprinted Skin Melanoma Model for High-Throughput Drug Screening

Melanoma is the deadliest form of skin cancer, and despite major advances in immunotherapy and targeted therapies, most patients with advanced disease eventually develop treatment resistance. The lack of physiologically relevant, scalable preclinical models that recapitulate the tumor microenvironment (TME) remains a major barrier to identifying more effective therapies. Here, we present a novel high-throughput screening platform based on a bioprinted, full-thickness human melanoma skin model that combines the biological complexity of native skin with the scalability required for drug discovery. The 3D tissue construct comprises a dermal region containing primary human dermal fibroblasts, melanoma tumor-like cell clusters localized at the dermal-epidermal interface, and an overlying differentiated epidermis composed of primary human keratinocytes cultured at the air-liquid interface, thereby recapitulating key structural and cellular features of the melanoma TME. To enable multiplexed, high-content analysis, melanoma cells and fibroblasts were engineered to express red and green fluorescent proteins, respectively, allowing automated confocal imaging to simultaneously quantify tumor growth and stromal viability. This dual-readout strategy provides an intrinsic counterscreen to distinguish melanoma-selective compounds from nonspecific cytotoxic agents. The assay was implemented in a 96-well bioprinted format compatible with high-throughput screening of compound libraries across multiple concentrations. Using this platform, we identified compounds that selectively reduced melanoma cell viability while sparing surrounding stromal cells, demonstrating the value of incorporating the TME into primary drug screens. By integrating bioprinting, human tissue engineering, and automated high-content imaging into a scalable workflow, this platform provides a robust and clinically relevant approach for melanoma therapeutic discovery and has the potential to improve the translation of preclinical findings into effective treatments for advanced melanoma.

bioengineering↗
bioRxiv2026

Ferrybots: Programmable Hydrogel Microbots for Rapid Magnetic Navigation and Modular Function

Untethered microrobots could enable localized delivery, sensing, and intervention in confined biological and engineered environments. Magnetic actuation is especially attractive for such systems because it provides remote, fuel-free control, but practical magnetic microrobots remain difficult to manufacture and functionalize. High magnetic loading can interfere with polymerization and structural integrity, while integrating application-specific payloads directly into the robot body often requires the entire material formulation to be redesigned. Here, we introduce Ferrybots, programmable hydrogel microrobots that physically separate magnetic navigation from functional cargo. An automated droplet-on-demand microfluidic flow-lithography process confines high-concentration ferrofluid cores within photopolymerized poly (ethylene glycol) diacrylate (PEGDA) structures, enabling magnetic loading to be programmed through core number and spacing without uniformly dispersing magnetic particles throughout the hydrogel. The process achieved a minimum fabrication cycle time of 15 s. Ferrybots exhibited magnetic-dose-dependent translation and rotation, branched-channel steering, out-of-plane obstacle traversal, and rapid translation, with two-core robots following an external magnet at speeds up to the 9000 mm/min limit of the actuation system. Differences in magnetic loading also enabled sequential selective navigation of distinct Ferrybot populations. Using PEGDA 575 as a common interface material, independently formulated hydrogel cargo modules could subsequently be fused to preformed Ferrybots while preserving navigation. Separately, cargo modules enabled composition-dependent molecular release and oxygen-responsive sensing through 1-mm-thick skin-mimicking optical phantoms representing a broad range of skin types. By decoupling locomotion from function, Ferrybots provide a common magnetic vehicle that can be combined with interchangeable delivery, sensing, or responsive-material modules, offering a general strategy for rapidly adapting microrobots to different applications.

bioengineering↗
bioRxiv2026

Circular-Arc Modal Migration for Ultrasound Imaging--Part I: Finite-Arc Spectral Theory and Stolt-Pullback Factorization

Circular-arc ultrasound imaging requires a spectral construction that accommodates radius-dependent propagation and the spatially varying phase of offset-source transmission. This first of two articles develops Circular-Arc Modal Migration (CAMM), a direct Stolt-type imaging framework in angular modal coordinates. Starting from a first-Born acoustic model, angular decomposition and local radial Stolt mappings convert channel spectra into fields for coherent image synthesis. The offset transmit phase is represented by a phase-screen factorization through reusable spectral factors and spatially weighted fields. A scalar-pullback approximation simplifies this correction to reading one reference image at a geometrically fitted radial coordinate. Both realizations share the same modal construction. Error controls address local radial synthesis, transmit-path expansion, scalar approximation, and phase-screen truncation, with direct integration verifying the separated numerical evaluation. Same-RF point-target comparisons show that scalar pullback closely preserves the principal peak positions and widths of phase-screen imaging in the compact semicircular configuration, while phase screens better control surrounding responses in the shallow convex examples. The retained modal spectrum, frequency band, image radius, and source displacement guide this accuracy--computation choice. CAMM thereby extends direct spectral image formation to circular arcs and supplies the theoretical and numerical basis for the image-quality and performance studies in Part~II.

bioengineering↗