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Integrating Complex Permittivity Measurements with Histological Analysis for Advanced Tissue Characterization
Sandra Lopez-Prades1,2,3, Mónica Torrecilla-Vall-Llossera4, Mercedes Rus1
1Pathology Department, Hospital Clinic Barcelona, C/Villarroel 170, 08036 Barcelona, Spain.
Sensors (Basel, Switzerland)
|April 26, 2025
Summary
This study links complex permittivity measurements to tissue histology. These findings enable better tissue characterization in pathology using electrical properties.
Area of Science:
- Biomedical Engineering
- Pathology
- Electrical Engineering
Background:
- Complex permittivity measurements offer a non-invasive method for tissue analysis.
- Histological features are crucial for accurate tissue characterization.
- Integrating these two methods can enhance diagnostic capabilities.
Purpose of the Study:
- To establish a reliable method correlating complex permittivity measurements with specific histological features.
- To investigate the association between electrical properties and tissue composition.
- To explore the potential of in situ complex permittivity for pathology workflows.
Main Methods:
- Measured complex permittivity of 148 fresh human tissue samples across 14 types (200 MHz–20 GHz) using an open-ended coaxial probe.
- Collected tissue via punch biopsy, ensuring measurement area matched histological sampling.
- Processed samples into formalin-fixed, paraffin-embedded (FFPE) blocks for histological analysis.
Main Results:
- Complex permittivity values strongly correlated with histological features like fat content, necrosis, and fibrosis.
- Most tissue samples with distinct histological features were differentiable based on their permittivity values.
- The method accounted for statistical variability and instrumental uncertainties.
Conclusions:
- Complex permittivity is a valuable tool for fresh tissue characterization in pathology.
- This research provides a foundation for databases linking permittivity to histology for precise correlations.
- In situ complex permittivity measurements can potentially improve pathology workflows and diagnostics.
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