Computational hyperspectral devices based on quasi-random metasurface supercells

Chen, Cong; Li, Xiaoyin; Yang, Gang; Chen, Xiaohu; Liu, Shoupeng; Guo, Yinghui; Li, Hui

doi:10.1039/d3nr00884c

Cited by 22 publications

(4 citation statements)

References 52 publications

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“…Similar pixels generation have been applied to 3 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < spectrometer filters design, differing primarily in pixel size and the generation process. [16,32].…”

Section: Numerical Simulationmentioning

confidence: 99%

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A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing

Hu,

Zhao,

Qiu

et al. 2024

IEEE Photonics J.

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In the trend of spectrometer miniaturization, the design of combining computational imaging with the metasurfaces has been proved to be an efficient and feasible solution. Nevertheless, determining the optimal filter array design remains a compelling subject for ongoing research. A computational microspectrometer consisting of a planar array of broadband optical filters is proposed, which are formed by lowloss freeform dielectric metasurfaces. Diverse metasurface designs are obtained by using binary graph generation technology, and rich spectral responses are obtained. The final performance of microspectrometer depends on the trade-offs between reconstruction time, relative error, footprint, and resolution. To optimize these trade-offs, we have improved the existing freeform metasurface design scheme and optimized the filter array design. Simulation results show the proposed microspectrometer can successfully reconstruct the spectra over the 380 to 680 nm spectral range with a resolution of 1 nm. In summary, we propose an integrated design including meta-pixel design, filter combinations and simulation test flow, which leads to an impressive performance microspectrometer.

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Section: Numerical Simulationmentioning

confidence: 99%

“…To address the above challenges, we mainly analyze from the perspectives of filter selecting mechanism and reconstruction time and error. In this paper, reconstruction fidelity [32] and error RMSE are introduced to quantitatively compare the original and reconstructed spectra as:…”

Section: Numerical Simulationmentioning

confidence: 99%

A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing

Hu,

Zhao,

Qiu

et al. 2024

IEEE Photonics J.

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“…For the resonant narrowband filters, it is challenging to achieve high spectral resolution due to the limited number of spectral channels corresponding to the number of filters [13][14][15][16][17]. More efficient approaches utilize random broadband micro/nano filters, which could be achieved via quantum dot arrays [18,19], photonic crystal plate arrays [20,21], multilayer thin films filters [22][23][24], bandgap tunable nanowires [25,26] and metasurface arrays [27][28][29]. These alternatives encode the spectral information of incident light as a series of responses at different locations on detector.…”

Section: Introductionmentioning

confidence: 99%

Random broadband filters based on combination of metasurface and multilayer thin films for hyperspectral imaging

Guo,

Yang,

Liu

et al. 2024

J. Phys. D: Appl. Phys.

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Metasurface based micro-spectrometer presents a promising avenue for achieving compact, lightweight, and cost-effective solutions for miniaturization of hyperspectral imaging systems. Nevertheless, this type of design encounter limitations primarily due to constrained manipulation mechanism of light field, resulting in high cross-correlation among transmission spectra and imperfect reconstructed images. In this paper, we propose and numerically demonstrate a micro-spectrometer based on metasurface combined with multilayer thin films, whose spectral response improves performance for application, i.e. achieving low spectral cross-correlation. Additionally, we incorporate particle swarm optimization with compressed sensing algorithm to optimize the proposed micro-spectrometer. This approach effectively reconstructs both narrowband and broadband hyperspectral signals with minimal error, achieving an impressive 2nm spectral resolution. The simulation results of hyperspectral imaging demonstrated that the proposed methodology successfully reconstructs broadband hyperspectral images with an average spectral fidelity of 91.42%. This method holds significant potential for integrating into smartphones and other portable spectrometers, advancing the design of compact hyperspectral imaging systems.

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“…In response to the growing need for spectral imaging technology, Cong Chen and his team proposed a compact and highly efficient computational hyperspectral device comprised of quasi-random metasurface supercell arrays, breaking the limitation of design space. The inclusion of multiple different unit cells in a super-cell design can indeed enrich the styles of transmission spectra, but it also introduces complexity to the overall design methodology [46]. Wang et al introduced a novel concept for a multifocal lens-based compact spectrometer designed to operate across a broad range of the visible spectrum while offering satisfactory spectral resolution.…”

Section: Introductionmentioning

confidence: 99%

Ultraviolet-visible spectroscopy with all-dielectric multi-foci dispersive metalens

Butt,

Mahmood,

Tauqeer

et al. 2024

Phys. Scr.

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Metasurfaces are a cutting-edge development in optical technology miniaturization, enabling the manipulation of light at a microscopic scale while providing unprecedented control over its intrinsic characteristics, such as amplitude, polarization, and phase. Researchers have been making significant progress in advancing and developing high-efficiency and functionally versatile metasurfaces, aiming to achieve miniaturization and overcoming the technological limitations of conventional components. This article aims to develop a single-layered, highly transmissive all-dielectric multi-foci metalens that serves as a compact spectrometer that can be used for portable investigative measurements within the ultraviolet to the visible spectrum, especially for 290–460 nm band. The proposed metalens can achieve top-notch performance by precisely mapping the wavelength information into subwavelength diffraction-limited focusing spots by accomplishing simultaneous spectral splitting and focusing on the same plane. The proposed metalens consists of an array of intelligently optimized nanoantennas made of a CMOS-compatible silicon nitride material. It exploits a unique phase and wavelength multiplexing strategy to create highly dispersive multi-foci metalens, making it an ideal choice for an ultra•compact, high-resolution, and dual-band meta-spectrometer. We expect our proposed framework to have numerous applications in the industrial and medical fields, enabling diagnosis, detection, and assessment within a compact platform.

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Computational hyperspectral devices based on quasi-random metasurface supercells

Abstract: Computational hyperspectral devices that use artificial filters have shown promise as compact spectral devices.

Cited by 22 publications

References 52 publications

A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing

A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing

Random broadband filters based on combination of metasurface and multilayer thin films for hyperspectral imaging

Ultraviolet-visible spectroscopy with all-dielectric multi-foci dispersive metalens

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