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Computational hyperspectral devices based on quasi-random metasurface supercells.
Cong Chen1,2, Xiaoyin Li3, Gang Yang3,4
1School of Biomedical Engineering (Suzhou), Division of Life Science and Medicine, University of Science and Technology of China, Suzhou 215163, China. hui.li@sibet.ac.cn.
Nanoscale
|April 28, 2023
Summary
Researchers developed novel quasi-random metasurface supercells for computational hyperspectral devices. This breakthrough enables high-resolution spectral reconstruction and single-shot imaging with improved accuracy and reduced cross-correlation.
Area of Science:
- Optics and Photonics
- Metamaterials
- Computational Imaging
Background:
- Computational hyperspectral devices using artificial filters offer compactness but suffer from high spectral cross-correlation due to limited unit cell designs.
- This spectral cross-correlation hinders compressed-sensing-based spectral reconstruction, a key requirement for advanced spectral analysis.
- Existing designs face limitations in exploring diverse unit cell geometries and their impact on spectral properties.
Purpose of the Study:
- To propose and simulate a novel computational hyperspectral device design overcoming limitations of current artificial filter-based systems.
- To achieve low spectral cross-correlation and polarization sensitivity for enhanced spectral reconstruction and imaging.
- To enable high-resolution narrowband spectral reconstruction and broadband hyperspectral single-shot imaging.
Main Methods:
- Design and simulation of computational hyperspectral devices utilizing quasi-random metasurface supercells with dimensions exceeding the wavelength.
- Exploration of a wider range of symmetrical supercell structures to achieve low cross-correlation and polarization sensitivity.
- Integration with a genetic algorithm and compressed sensing for spectral reconstruction and image analysis.
Main Results:
- Obtained quasi-random supercells with significantly reduced polarization sensitivity and low spectral cross-correlation.
- Demonstrated narrowband spectral reconstruction with 6 nm spectral resolution and ultralow errors using the developed device.
- Achieved broadband hyperspectral single-shot imaging with a spectral resolution of approximately 0.001 and 92% average signal fidelity.
Conclusions:
- The proposed quasi-random metasurface supercell design effectively addresses the cross-correlation limitations in computational hyperspectral devices.
- The developed devices enable high-fidelity narrowband spectral reconstruction and broadband hyperspectral single-shot imaging.
- This technology holds potential for integration into CMOS chips for advanced single-shot imaging applications.
