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Updated: Feb 1, 2026

Scanning-probe Single-electron Capacitance Spectroscopy
Published on: July 30, 2013
Capacitively Coupled Phase-based Dielectric Spectroscopy Tomography.
Yandan Jiang1,2, Manuchehr Soleimani3
1Engineering Tomography Laboratory (ETL), Department of Electronic and Electrical Engineering, University of Bath, Claverton Down, BA2 7AY, UK. jiangyandan123@163.com.
This study introduces contactless dielectric parameter imaging using capacitively coupled electrical phase spectroscopy. This novel method offers a non-invasive approach for impedance imaging, unlike traditional electrical impedance tomography (EIT).
Area of Science:
- Electrical Engineering
- Biomedical Imaging
- Electromagnetics
Background:
- Impedance imaging non-intrusively reconstructs dielectric parameters.
- Electrical impedance tomography (EIT) is common but requires direct electrode contact.
- Phase information in impedance measurements is often overlooked.
Purpose of the Study:
- To present a novel, contactless impedance imaging method using capacitive coupling.
- To investigate capacitively coupled electrical phase spectroscopy for dielectric parameter imaging.
- To explore the potential of phase measurements in non-invasive imaging.
Main Methods:
- Utilized a 12-electrode capacitively coupled test phantom and measurement system.
- Acquired phase measurements across a wideband frequency range (200 kHz to 15 MHz).
- Employed simulation for forward modeling and total variation algorithm for image reconstruction based on phase data.
Main Results:
- Demonstrated a novel method for contactless dielectric parameter imaging.
- Successfully reconstructed images using phase measurements from capacitively coupled spectroscopy.
- Investigated background data with varying conductivity levels, indicating broad applicability.
Conclusions:
- Capacitively coupled electrical phase spectroscopy is a viable technique for contactless impedance imaging.
- Phase data offers unique advantages for non-invasive dielectric parameter reconstruction.
- The method shows potential for diverse applications, though challenges remain.
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