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Hyperspectral terahertz imaging with electro-optic dual combs and a FET-based detector
Pedro Martín-Mateos1, Dovilė Čibiraitė-Lukenskienė2, Roberto Barreiro3
1Electronic Technology Department, Universidad Carlos III de Madrid, Leganés, Spain. pmmateos@ing.uc3m.es.
Scientific Reports
|September 4, 2020
Summary
A novel terahertz hyperspectral imaging system using an electro-optic dual-comb source offers rapid, accurate spectral characterization. This innovative architecture enables flexible, high-signal-to-noise ratio measurements for diverse sample analysis.
Area of Science:
- Optics and Photonics
- Spectroscopy
- Materials Science
Background:
- Traditional terahertz (THz) imaging often relies on single-frequency sources, limiting spectral characterization.
- Multi-heterodyne systems offer parallel spectral response analysis, improving speed and consistency.
- Existing THz imaging techniques can suffer from artifacts and require complex post-processing.
Purpose of the Study:
- To present and demonstrate a new terahertz hyperspectral imaging architecture.
- To leverage an electro-optic terahertz dual-comb source for enhanced spectral analysis.
- To showcase the system's capability for rapid, artifact-minimized, and highly coherent measurements.
Main Methods:
- Utilized an electro-optic terahertz dual-comb source for multi-heterodyne spectral acquisition.
- Employed a field-effect transistor-based terahertz resonant 300 GHz detector.
- Implemented a raster-scanning method for two-dimensional hyperspectral imaging.
Main Results:
- Achieved parallel characterization of the full spectral response of samples.
- Demonstrated tailored terahertz illumination with flexible spectral coverage and resolution.
- Successfully performed 2D hyperspectral imaging of tree leaves and a plastic fragment at 300 GHz with 10 GHz resolution.
Conclusions:
- The presented architecture provides rapid, highly consistent, and artifact-minimized terahertz hyperspectral imaging.
- The system offers high flexibility in spectral tailoring and excellent signal-to-noise ratio.
- The demonstrated capabilities highlight the potential of this innovative approach for diverse applications.
