Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing
Abstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pr...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2025-05-01
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| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-025-01841-x |
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| author | Guoce Yang Mengyun Wang June Sang Lee Nikolaos Farmakidis Joe Shields Carlota Ruiz de Galarreta Stuart Kendall Jacopo Bertolotti Andriy Moskalenko Kairan Huang Andrea Alù C. David Wright Harish Bhaskaran |
| author_facet | Guoce Yang Mengyun Wang June Sang Lee Nikolaos Farmakidis Joe Shields Carlota Ruiz de Galarreta Stuart Kendall Jacopo Bertolotti Andriy Moskalenko Kairan Huang Andrea Alù C. David Wright Harish Bhaskaran |
| author_sort | Guoce Yang |
| collection | DOAJ |
| description | Abstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors, especially for edge detection capability. Yet, there is still a lack of reconfigurable or programmable schemes, which may drastically enhance the impact of these devices at the system level. Here, we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces. The metasurface is configured to realize different transfer functions in spatial frequency space, when transitioning the phase-change material between its amorphous and crystalline phases. This enables edge detection and bright field imaging modes on the same device. The metasurface is compatible with a large numerical aperture of ~0.5, making it suitable for high resolution coherent optical imaging microscopy. The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking. |
| format | Article |
| id | doaj-art-77e30a09e26d4bdab8132d13087ab83f |
| institution | Kabale University |
| issn | 2047-7538 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Light: Science & Applications |
| spelling | doaj-art-77e30a09e26d4bdab8132d13087ab83f2025-08-20T03:53:13ZengNature Publishing GroupLight: Science & Applications2047-75382025-05-0114111010.1038/s41377-025-01841-xNonlocal phase-change metaoptics for reconfigurable nonvolatile image processingGuoce Yang0Mengyun Wang1June Sang Lee2Nikolaos Farmakidis3Joe Shields4Carlota Ruiz de Galarreta5Stuart Kendall6Jacopo Bertolotti7Andriy Moskalenko8Kairan Huang9Andrea Alù10C. David Wright11Harish Bhaskaran12Department of Materials, University of OxfordDepartment of Materials, University of OxfordDepartment of Materials, University of OxfordDepartment of Materials, University of OxfordCentre for Metamaterial Research and Innovation, University of ExeterCentre for Metamaterial Research and Innovation, University of ExeterCentre for Metamaterial Research and Innovation, University of ExeterCentre for Metamaterial Research and Innovation, University of ExeterDepartment of Materials, University of OxfordDepartment of Materials, University of OxfordPhotonics Initiative, Advanced Science Research Center, City University of New YorkCentre for Metamaterial Research and Innovation, University of ExeterDepartment of Materials, University of OxfordAbstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors, especially for edge detection capability. Yet, there is still a lack of reconfigurable or programmable schemes, which may drastically enhance the impact of these devices at the system level. Here, we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces. The metasurface is configured to realize different transfer functions in spatial frequency space, when transitioning the phase-change material between its amorphous and crystalline phases. This enables edge detection and bright field imaging modes on the same device. The metasurface is compatible with a large numerical aperture of ~0.5, making it suitable for high resolution coherent optical imaging microscopy. The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking.https://doi.org/10.1038/s41377-025-01841-x |
| spellingShingle | Guoce Yang Mengyun Wang June Sang Lee Nikolaos Farmakidis Joe Shields Carlota Ruiz de Galarreta Stuart Kendall Jacopo Bertolotti Andriy Moskalenko Kairan Huang Andrea Alù C. David Wright Harish Bhaskaran Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing Light: Science & Applications |
| title | Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing |
| title_full | Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing |
| title_fullStr | Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing |
| title_full_unstemmed | Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing |
| title_short | Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing |
| title_sort | nonlocal phase change metaoptics for reconfigurable nonvolatile image processing |
| url | https://doi.org/10.1038/s41377-025-01841-x |
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