Electroacoustic tomography with dual-frequency array for real-time monitoring of electroporation

Electroacoustic Tomography (EAT) is an imaging technique that detects ultrasound waves induced by electrical pulses, offering a solution for real-time electroporation monitoring. This study presents EAT system using a dual-frequency ultrasound array. The broadband nature of electroacoustic signals requires ultrasound detector to cover both the high-frequency range (around [Formula: see text] [Formula: see text]MHz) signals generated by small targets and the low-frequency range (around [Formula: see text] [Formula: see text]MHz) signals generated by large targets. In our EAT system, we use the 6 MHz array to detect high-frequency signals from the electrodes, and the 1 MHz array for the electrical field. To test this, we conducted simulations using COMSOL Multiphysics[Formula: see text] and MATLAB’s k-Wave toolbox, followed by experiments using a custom-built setup with a dual-frequency transducer and real-time data acquisition. The results demonstrated that the dual-frequency EAT system could accurately and simultaneously monitor the electroporation process, effectively showing both the treatment area and electrode placement with the application of 1[Formula: see text]kV electric pulses with 100[Formula: see text]ns duration. The axial resolution of the 6[Formula: see text]MHz array for EAT was 0.45[Formula: see text]mm, significantly better than the 2[Formula: see text]mm resolution achieved with the 1[Formula: see text]MHz array. These findings validate the potential of dual-frequency EAT as a superior method for real-time electroporation monitoring.

Authors

Institutions

Publication Details

Journal
Journal of Innovative Optical Health Sciences
Published
2025-06-13
DOI
https://doi.org/10.1142/s1793545825500269
Primary Topic
Microbial Inactivation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electroacoustic tomography with dual-frequency array for real-time monitoring of electroporation

Liangzhong Xiang, Yifei Xu, Luke Xu
Journal of Innovative Optical Health Sciences
Microbial Inactivation Methods
article

Electroacoustic tomography with dual-frequency array for real-time monitoring of electroporation

Liangzhong Xiang, Yifei Xu, Luke Xu
article en

Abstract

Electroacoustic Tomography (EAT) is an imaging technique that detects ultrasound waves induced by electrical pulses, offering a solution for real-time electroporation monitoring. This study presents EAT system using a dual-frequency ultrasound array. The broadband nature of electroacoustic signals requires ultrasound detector to cover both the high-frequency range (around [Formula: see text] [Formula: see text]MHz) signals generated by small targets and the low-frequency range (around [Formula: see text] [Formula: see text]MHz) signals generated by large targets. In our EAT system, we use the 6 MHz array to detect high-frequency signals from the electrodes, and the 1 MHz array for the electrical field. To test this, we conducted simulations using COMSOL Multiphysics[Formula: see text] and MATLAB’s k-Wave toolbox, followed by experiments using a custom-built setup with a dual-frequency transducer and real-time data acquisition. The results demonstrated that the dual-frequency EAT system could accurately and simultaneously monitor the electroporation process, effectively showing both the treatment area and electrode placement with the application of 1[Formula: see text]kV electric pulses with 100[Formula: see text]ns duration. The axial resolution of the 6[Formula: see text]MHz array for EAT was 0.45[Formula: see text]mm, significantly better than the 2[Formula: see text]mm resolution achieved with the 1[Formula: see text]MHz array. These findings validate the potential of dual-frequency EAT as a superior method for real-time electroporation monitoring.

Journal of Innovative Optical Health SciencesVol. 19(01)
University of California, Irvine (US), Beckman Laser Institute and Medical Clinic (US), Irvine University (US)
Openalex Percentile: Top 84%
Microbial Inactivation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.