Gamma-distributed energy heterogeneity modulates pulsed electric field ablation efficacy in millimeter-scale multicellular monolayers

F Feiyu Wu (School of Electrical Engineering, Chongqing University 1 , Chongqing 400044,) H Hongyu Kou (School of Electrical Engineering, Chongqing University 1 , Chongqing 400044,) K Kai Chen L Lei Li S Shupeng Wang (School of Electrical Engineering, Chongqing University , Chongqing 400044,) R Runze Liang Y Yuan Lei Y Yue Chen (State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials) H Hongmei Liu C Chenguo Yao (School of Electrical Engineering, State Key Laboratory of Power Transmission Equipment Technology, Chongqing University 1 , Chongqing 401331,)

Abstract

Numerical models evaluating macroscopic pulsed electric field (PEF) efficacy typically neglect multicellular heterogeneity and assume homogeneous absorbed energy to reduce computational costs. In this Letter, through theoretical analyses from maximum information entropy methods and finite-element simulations of a realistic millimeter-scale monolayer (1393 cells in a 1 mm2 square target), we demonstrate that cellular absorbed energy universally follows a gamma distribution in response to a single pulse, remaining invariant across pulsed types, cell types, and observation scales. We propose a dimensionless heterogeneity metric h (0–1) derived from gamma distribution, to quantify local fluctuations of absorbed energy. Results show h exhibits a hyperbolic tangent dependence on the pulsed width, independent of the field strength. In vitro experiments confirm that the dimensionless h also critically governs PEF efficacy: Reduced h exponentially enhances the response rate of high-dose phase in the survival curves. Real-time fluorescence damage kinetics (169 cells) further validate the gamma-distributed energy pattern. This work uncovers spatial heterogeneity as an essential predictor for PEF efficacy, which advances the resolution setting of theoretical models for PEF efficacy prediction.

Article Details

Volume / Issue Vol. 127, Issue 6
Published August 11, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (10)

F

Feiyu Wu

School of Electrical Engineering, Chongqing University 1 , Chongqing 400044,

H

Hongyu Kou

School of Electrical Engineering, Chongqing University 1 , Chongqing 400044,

K

Kai Chen

L

Lei Li

S

Shupeng Wang

School of Electrical Engineering, Chongqing University , Chongqing 400044,

R

Runze Liang

Y

Yuan Lei

Y

Yue Chen

State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials

H

Hongmei Liu

C

Chenguo Yao

School of Electrical Engineering, State Key Laboratory of Power Transmission Equipment Technology, Chongqing University 1 , Chongqing 401331,