A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing
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 mic...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10378697/ |
| _version_ | 1797357091178938368 |
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| author | Chao Hu Xingyan Zhao Yang Qiu Shaonan Zheng Qize Zhong Yuan Dong Ting Hu |
| author_facet | Chao Hu Xingyan Zhao Yang Qiu Shaonan Zheng Qize Zhong Yuan Dong Ting Hu |
| author_sort | Chao Hu |
| collection | DOAJ |
| description | 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 low-loss 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. |
| first_indexed | 2024-03-08T14:39:43Z |
| format | Article |
| id | doaj.art-76a07f7acbf4484b86286ef61f2f7f1c |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-03-08T14:39:43Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-76a07f7acbf4484b86286ef61f2f7f1c2024-01-12T00:00:09ZengIEEEIEEE Photonics Journal1943-06552024-01-011611510.1109/JPHOT.2023.334870010378697A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral SensingChao Hu0https://orcid.org/0009-0001-2603-4810Xingyan Zhao1https://orcid.org/0000-0002-8743-7824Yang Qiu2https://orcid.org/0009-0007-6000-3835Shaonan Zheng3https://orcid.org/0000-0003-4075-1012Qize Zhong4https://orcid.org/0000-0003-2536-0080Yuan Dong5https://orcid.org/0000-0002-4024-0469Ting Hu6https://orcid.org/0000-0002-7134-1748Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaShanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology and School of Microelectronics, Shanghai University, Shanghai, ChinaIn 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 low-loss 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.https://ieeexplore.ieee.org/document/10378697/Microspectrometermetasurfacesbinary graph |
| spellingShingle | Chao Hu Xingyan Zhao Yang Qiu Shaonan Zheng Qize Zhong Yuan Dong Ting Hu A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing IEEE Photonics Journal Microspectrometer metasurfaces binary graph |
| title | A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing |
| title_full | A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing |
| title_fullStr | A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing |
| title_full_unstemmed | A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing |
| title_short | A Computational Microspectrometer Based on Binary-Image-Generated Freeform Metasurfaces for Spectral Sensing |
| title_sort | computational microspectrometer based on binary image generated freeform metasurfaces for spectral sensing |
| topic | Microspectrometer metasurfaces binary graph |
| url | https://ieeexplore.ieee.org/document/10378697/ |
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