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Li Q, Yang H, Wang Y, Shou Y, Liu S, Luo H. Surface topography detection based on an optical differential metasurface. OPTICS LETTERS 2023; 48:4801-4804. [PMID: 37707906 DOI: 10.1364/ol.497090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/22/2023] [Indexed: 09/15/2023]
Abstract
Surface topography detection can extract critical characteristics from objects, playing an important role in target identification and precision measurement. Here, an optical method with the advantages of low power consumption, high speed, and simple devices is proposed to realize the surface topography detection of low-contrast phase objects. By constructing reflected light paths, a metasurface can perform spatial differential operation via receiving the light directly reflected from a target. Therefore, our scheme is experimentally demonstrated as having remarkable universality, which can be used not only for opaque objects, but also for transparent pure phase objects. It provides a new, to the best of our knowledge, application for optical differential metasurfaces in precise detection of microscale surface topography.
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Yan R, Wang W, Hu Y, Hao Q, Bian L. Polarization-Dependent Metasurface Enables Near-Infrared Dual-Modal Single-Pixel Sensing. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:nano13091542. [PMID: 37177087 PMCID: PMC10180816 DOI: 10.3390/nano13091542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/22/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023]
Abstract
Infrared single-pixel sensing with the two most representative modes, bright-field imaging and edge-enhanced imaging, has great application potential in biomedical diagnosis and defect inspection. Building a multifunctional and miniature optical computing device for infrared single-pixel sensing is extremely intriguing. Here, we propose and validate a dual-modal device based on a well-designed metasurface, which enables near-infrared bright-field and edge-enhanced single-pixel imaging. By changing the polarization of the incident beam, these two different modes can be switched. Simulations validate that our device can achieve high-fidelity dual-modal single-pixel sensing at 0.9 μm with certain noise robustness. We also investigate the generalization of our metasurface-based device and validate that different illumination patterns are applied to our device. Moreover, these output images by our device can be efficiently utilized for biomedical image segmentation. We envision this novel device may open a vista in dual-modal infrared single-pixel sensing.
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Affiliation(s)
- Rong Yan
- MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Wenli Wang
- Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Yao Hu
- Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Qun Hao
- Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Liheng Bian
- MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Science & School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
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Wang Y, Yang Q, Shou Y, Luo H. Optical analog computing enabled broadband structured light. OPTICS LETTERS 2023; 48:2014-2017. [PMID: 37058630 DOI: 10.1364/ol.488765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 03/11/2023] [Indexed: 06/19/2023]
Abstract
Mathematically, any function can be expressed as the operation form of another function. Here, the idea is introduced into an optical system to generate structured light. In the optical system, a mathematical function is represented by an optical field distribution, and any structured light field can be generated by performing different optical analog computations for any input optical field. In particular, optical analog computing has a good broadband performance, as it can be achieved based on the Pancharatnam-Berry phase. Therefore, our scheme can provide a flexible way to generate broadband structured light, and this is theoretically and experimentally demonstrated. It is envisioned that our work may inspire potential applications in high-resolution microscopy and quantum computation.
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He S, Wang R, Xu W, Luo Z, Luo H. Visualization of transparent particles based on optical spatial differentiation. OPTICS LETTERS 2022; 47:5754-5757. [PMID: 37219095 DOI: 10.1364/ol.468452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/19/2022] [Indexed: 05/24/2023]
Abstract
Optical analog computing operates on the amplitude, phase, polarization, and frequency distributions of the electromagnetic field through the interaction of light and matter. The differentiation operation is widely used in all-optical image processing technology, such as edge detection. Here, we propose a concise way to observe transparent particles, incorporating the optical differential operation that occurs on a single particle. The particle's scattering and cross-polarization components combine into our differentiator. We achieve high-contrast optical images of transparent liquid crystal molecules. The visualization of aleurone grains (the structures that store protein particles in plant cells) in maize seed was experimentally demonstrated with a broadband incoherent light source. Avoiding the interference of stains, our designed method provides the possibility to observe protein particles directly in complex biological tissues.
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Shou Y, Wang Y, Miao L, Chen S, Luo H. Realization of all-optical higher-order spatial differentiators based on cascaded operations. OPTICS LETTERS 2022; 47:5981-5984. [PMID: 37219152 DOI: 10.1364/ol.473988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/21/2022] [Indexed: 05/24/2023]
Abstract
Cascaded operations play an important role in traditional electronic computing systems for the realization of advanced strategies. Here, we introduce the idea of cascaded operations into all-optical spatial analog computing. The single function of the first-order operation has difficulty meeting the requirements of practical applications in image recognition. The all-optical second-order spatial differentiators are implemented by cascading two first-order differential operation units, and the image edge detection of amplitude and phase objects are demonstrated. Our scheme provides a possible pathway toward the development of compact multifunctional differentiators and advanced optical analog computing networks.
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Wang R, He S, Chen S, Shu W, Wen S, Luo H. Computing metasurfaces enabled chiral edge image sensing. iScience 2022; 25:104532. [PMID: 35747388 PMCID: PMC9209724 DOI: 10.1016/j.isci.2022.104532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/09/2022] [Accepted: 05/31/2022] [Indexed: 11/20/2022] Open
Abstract
Computing metasurfaces have shown the extraordinary ability to precisely perform optical analog operations to the input light wave, and therefore exhibit greater potentials toward sensing applications. Here, we propose a unique application of computing metasurface for chiral edge sensing by incorporating a weak-value amplification technique. The computing metasurface performs the spatial differentiation operations of phase objects and extracts the edge-enhanced images, because the phase gradient generally occurs at the edge. The chirality-induced polarization rotation acts as the preselection state and the spatial differentiation operations in the metasurface provide weak coupling. The amplified pointer shift related to the tiny polarization rotation will eventually lead to an asymmetric edge-enhanced image. Owing to the high sensitivity of the weak-value amplification, we experimentally demonstrate a high-contrast recognition of chirality by edge detection, which may have potential applications in real-time measurement and separation of chiral enantiomers. Computing metasurfaces perform the spatial differentiation operations of phase object Weak-value amplification technique has been proposed for the chiral sensing The chiral edge image sensing has been demonstrated
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Affiliation(s)
- Ruisi Wang
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Shanshan He
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Shizhen Chen
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Weixing Shu
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Shuangchun Wen
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Hailu Luo
- Laboratory for Spin Photonics, School of Physics and Electronics, Hunan University, Changsha 410082, China
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Ma Z, Dong S, Dun X, Wei Z, Wang Z, Cheng X. Reconfigurable Metalens with Phase-Change Switching between Beam Acceleration and Rotation for 3D Depth Imaging. MICROMACHINES 2022; 13:607. [PMID: 35457911 PMCID: PMC9031172 DOI: 10.3390/mi13040607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/04/2022] [Accepted: 04/09/2022] [Indexed: 01/27/2023]
Abstract
Depth imaging is very important for many emerging technologies, such as artificial intelligence, driverless vehicles and facial recognition. However, all these applications demand compact and low-power systems that are beyond the capabilities of most state-of-art depth cameras. Recently, metasurface-based depth imaging that exploits point spread function (PSF) engineering has been demonstrated to be miniaturized and single shot without requiring active illumination or multiple viewpoint exposures. A pair of spatially adjacent metalenses with an extended depth-of-field (EDOF) PSF and a depth-sensitive double-helix PSF (DH-PSF) were used, using the former metalens to reconstruct clear images of each depth and the latter to accurately estimate depth. However, due to these two metalenses being non-coaxial, parallax in capturing scenes is inevitable, which would limit the depth precision and field of view. In this work, a bifunctional reconfigurable metalens for 3D depth imaging was proposed by dynamically switching between EDOF-PSF and DH-PSF. Specifically, a polarization-independent metalens working at 1550 nm with a compact 1 mm2 aperture was realized, which can generate a focused accelerating beam and a focused rotating beam at the phase transition of crystalline and amorphous Ge2Sb2Te5 (GST), respectively. Combined with the deconvolution algorithm, we demonstrated the good capabilities of scene reconstruction and depth imaging using a theoretical simulation and achieved a depth measurement error of only 3.42%.
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Affiliation(s)
- Zhiyuan Ma
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Siyu Dong
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Xiong Dun
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zeyong Wei
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zhanshan Wang
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Xinbin Cheng
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
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Cheng C, Ou K, Yang H, Wan H, Wei Z, Wang Z, Cheng X. Electric-Driven Polarization Meta-Optics for Tunable Edge-Enhanced Images. MICROMACHINES 2022; 13:541. [PMID: 35457846 PMCID: PMC9024918 DOI: 10.3390/mi13040541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 11/16/2022]
Abstract
In this study, we demonstrate an electrically driven, polarization-controlled metadevice to achieve tunable edge-enhanced images. The metadevice was elaborately designed by integrating single-layer metalens with a liquid-crystal plate to control the incident polarization. By modulating electric-driven voltages applied on the liquid-crystal plate, the metalens can provide two polarization-dependent phase profiles (hyperbolic phase and focusing spiral phase). Therefore, the metalens can perform two-dimensional focusing and spatial differential operation on an incident optical field, allowing dynamic switching between the bright-field imaging and the edge-enhanced imaging. Capitalizing on the compactness and dynamic tuning of the proposed metadevice, our scheme carves a promising path to image processing and biomedical imaging technology.
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Affiliation(s)
- Cheng Cheng
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Kai Ou
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Hui Yang
- National Research Center for High-Efficiency Grinding, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
| | - Hengyi Wan
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zeyong Wei
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zhanshan Wang
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Xinbin Cheng
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (C.C.); (H.W.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
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Xiao T, Yang H, Yang Q, Xu D, Wang R, Chen S, Luo H. Realization of tunable edge-enhanced images based on computing metasurfaces. OPTICS LETTERS 2022; 47:925-928. [PMID: 35167560 DOI: 10.1364/ol.450988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 01/13/2022] [Indexed: 06/14/2023]
Abstract
Bright-field imaging and edge imaging can extract different characteristics from objects, and therefore play important roles in image processing and pattern recognition. Here, we propose a fast, convenient, and electrically driven adjustable scheme to achieve tunable edge-enhanced images based on computing metasurfaces. The computing metasurface can perform spatial differential operation as optical waves propagate through it. This optical differential operation is polarization-dependent, thus any desirable contrast can be realized by the interplay between two orthogonal polarization components. By regulating the external voltages applied on the liquid-crystal phase plate, different phase retardances between two orthogonal polarization components are introduced; this allows us to quickly switch between the bright-field image and the edge image.
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