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Deng M, Cotrufo M, Wang J, Dong J, Ruan Z, Alù A, Chen L. Broadband angular spectrum differentiation using dielectric metasurfaces. Nat Commun 2024; 15:2237. [PMID: 38472224 DOI: 10.1038/s41467-024-46537-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 02/29/2024] [Indexed: 03/14/2024] Open
Abstract
Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior to its digital counterparts, which have the disadvantages of low operation speed and large energy consumption. As an important branch of modern optics, Fourier optics exhibits great potential for analog optical image processing, for instance for edge detection. While these operations have been commonly explored to manipulate the spatial content of an image, mathematical operations that act directly over the angular spectrum of an image have not been pursued. Here, we demonstrate manipulation of the angular spectrum of an image, and in particular its differentiation, using dielectric metasurfaces operating across the whole visible spectrum. We experimentally show that this technique can be used to enhance desired portions of the angular spectrum of an image. Our approach can be extended to develop more general angular spectrum analog meta-processors, and may open opportunities for optical analog data processing and biological imaging.
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Affiliation(s)
- Ming Deng
- Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Michele Cotrufo
- Photonics Initiative, Advanced Science Research Center, City University of New York, New York, NY, 10031, USA
- The Institute of Optics, University of Rochester, Rochester, NY, 14627, USA
| | - Jian Wang
- Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jianji Dong
- Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Zhichao Ruan
- School of Physics, Zhejiang Province Key Laboratory of Quantum Technology and Device, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027, China
| | - Andrea Alù
- Photonics Initiative, Advanced Science Research Center, City University of New York, New York, NY, 10031, USA.
| | - Lin Chen
- Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518063, China.
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Yang H, Chen Y, Wu Y, Hu Y, Yang J, Wu J. Analog signal metasurface processor supporting mathematical operator reconfiguration. OPTICS LETTERS 2023; 48:5451-5454. [PMID: 37910675 DOI: 10.1364/ol.498519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/21/2023] [Indexed: 11/03/2023]
Abstract
Electromagnetic wave analog computing is an effective method to overcome the bottleneck of electronic computing, which has attracted the attention of scientists. However, many spatial analog signal processing systems based on electromagnetic waves can only execute one unique mathematical operator and cannot provide multiple operators for users to choose arbitrarily. In order to enhance the function of the current spatial analog computing system, we design a coding structure with amplitude-phase decoupling modulation to realize the analog signal processor that supports the switching of mathematical operators and demonstrate the precise switching from the first-order spatial differential operator to the first-order spatial integral operator. Our design idea can be used as a paradigm for designing small reconfigurable analog computing systems, paving the way for the construction of high-speed, multifunctional, and universal signal processing systems. This idea can be extended to any other range of waves.
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