Higher-resolution wavefront sensing based on sub-wavefront information extraction
The limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion. In this study, by etching a known phase on each microlens to modulate sub-wavefront, we propose a higher-resolution wavefront reconstruction metho...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1336651/full |
| _version_ | 1797362268762013696 |
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| author | Hongli Guan Hongli Guan Hongli Guan Hongli Guan Wang Zhao Wang Zhao Wang Zhao Shuai Wang Shuai Wang Shuai Wang Kangjian Yang Kangjian Yang Kangjian Yang Mengmeng Zhao Mengmeng Zhao Mengmeng Zhao Shenghu Liu Shenghu Liu Shenghu Liu Shenghu Liu Han Guo Han Guo Han Guo Ping Yang Ping Yang Ping Yang |
| author_facet | Hongli Guan Hongli Guan Hongli Guan Hongli Guan Wang Zhao Wang Zhao Wang Zhao Shuai Wang Shuai Wang Shuai Wang Kangjian Yang Kangjian Yang Kangjian Yang Mengmeng Zhao Mengmeng Zhao Mengmeng Zhao Shenghu Liu Shenghu Liu Shenghu Liu Shenghu Liu Han Guo Han Guo Han Guo Ping Yang Ping Yang Ping Yang |
| author_sort | Hongli Guan |
| collection | DOAJ |
| description | The limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion. In this study, by etching a known phase on each microlens to modulate sub-wavefront, we propose a higher-resolution wavefront reconstruction method that employs a modified modal Zernike wavefront reconstruction algorithm, in which the reconstruction matrix contains quadratic information that is extracted using a neural network. We validate this method through simulations, and the results show that once the network has been trained, for various atmospheric conditions and spatial sampling rates, the proposed method enables fast and accurate high-resolution wavefront reconstruction. Furthermore, it has highly competitive advantages such as fast dataset generation, simple network structure, and short prediction time. |
| first_indexed | 2024-03-08T16:05:54Z |
| format | Article |
| id | doaj.art-d82793ad3a7e45b7ba9538040aca4638 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-03-08T16:05:54Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-d82793ad3a7e45b7ba9538040aca46382024-01-08T06:22:03ZengFrontiers Media S.A.Frontiers in Physics2296-424X2024-01-011110.3389/fphy.2023.13366511336651Higher-resolution wavefront sensing based on sub-wavefront information extractionHongli Guan0Hongli Guan1Hongli Guan2Hongli Guan3Wang Zhao4Wang Zhao5Wang Zhao6Shuai Wang7Shuai Wang8Shuai Wang9Kangjian Yang10Kangjian Yang11Kangjian Yang12Mengmeng Zhao13Mengmeng Zhao14Mengmeng Zhao15Shenghu Liu16Shenghu Liu17Shenghu Liu18Shenghu Liu19Han Guo20Han Guo21Han Guo22Ping Yang23Ping Yang24Ping Yang25National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaSchool of Optoelectronics, University of Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaSchool of Optoelectronics, University of Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaNational Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, ChinaThe limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion. In this study, by etching a known phase on each microlens to modulate sub-wavefront, we propose a higher-resolution wavefront reconstruction method that employs a modified modal Zernike wavefront reconstruction algorithm, in which the reconstruction matrix contains quadratic information that is extracted using a neural network. We validate this method through simulations, and the results show that once the network has been trained, for various atmospheric conditions and spatial sampling rates, the proposed method enables fast and accurate high-resolution wavefront reconstruction. Furthermore, it has highly competitive advantages such as fast dataset generation, simple network structure, and short prediction time.https://www.frontiersin.org/articles/10.3389/fphy.2023.1336651/fullShack–Hartmann wavefront sensorhigh-resolution wavefront sensingsub-wavefront information extractionphase modulationneural network |
| spellingShingle | Hongli Guan Hongli Guan Hongli Guan Hongli Guan Wang Zhao Wang Zhao Wang Zhao Shuai Wang Shuai Wang Shuai Wang Kangjian Yang Kangjian Yang Kangjian Yang Mengmeng Zhao Mengmeng Zhao Mengmeng Zhao Shenghu Liu Shenghu Liu Shenghu Liu Shenghu Liu Han Guo Han Guo Han Guo Ping Yang Ping Yang Ping Yang Higher-resolution wavefront sensing based on sub-wavefront information extraction Frontiers in Physics Shack–Hartmann wavefront sensor high-resolution wavefront sensing sub-wavefront information extraction phase modulation neural network |
| title | Higher-resolution wavefront sensing based on sub-wavefront information extraction |
| title_full | Higher-resolution wavefront sensing based on sub-wavefront information extraction |
| title_fullStr | Higher-resolution wavefront sensing based on sub-wavefront information extraction |
| title_full_unstemmed | Higher-resolution wavefront sensing based on sub-wavefront information extraction |
| title_short | Higher-resolution wavefront sensing based on sub-wavefront information extraction |
| title_sort | higher resolution wavefront sensing based on sub wavefront information extraction |
| topic | Shack–Hartmann wavefront sensor high-resolution wavefront sensing sub-wavefront information extraction phase modulation neural network |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1336651/full |
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