Spectral-acoustic-coordinated astigmatic metalens for wide field-of-view and high-speed spatiotemporal 3D imaging

Spectral-acoustic-coordinated astigmatic metalens for wide field-of-view and high-speed spatiotemporal 3D imaging | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Spectral-acoustic-coordinated astigmatic metalens for wide field-of-view and high-speed spatiotemporal 3D imaging Xiangang Luo, Shujian Gong, Yinghui Guo, Xiaoyin Li, Mingbo Pu, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6965728/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 23 Jan, 2026 Read the published version in Light: Science & Applications → Version 1 posted 12 You are reading this latest preprint version Abstract Metasurface-based light detection and ranging (LiDAR) is essential for high-precision three-dimensional (3D) imaging in robotic and autonomous systems. Recent advances in inertia-free scanning techniques—such as acousto-optic and spectral scanning—have propelled the field forward. Nevertheless, key spatiotemporal metrics, including point acquisition rate (PAR), field-of-view (FOV), and imaging resolution, remain fundamentally constrained. These challenges are particularly acute in dual-axis LiDARs, where rate mismatches and beam astigmatism degrade temporal and spatial resolution, respectively. Here, we present a wide-FOV, high spatiotemporal resolution LiDAR with astigmatic metalens (AML) coordinated spectral-acousto-optic scanning. Consequently, a frame-wise point acquisition rate (FPAR) of 36.6 MHz (∼5-fold improvement over existing reports) and a wide FOV of 102° are simultaneously achieved. This breakthrough redefines LiDAR’s potential for ultra-high-speed, high-precision perception, enhancing applications such as autonomous driving with improved obstacle detection and safety at high speeds. Physical sciences/Optics and photonics/Optical materials and structures/Metamaterials Physical sciences/Optics and photonics/Optical techniques/Imaging and sensing astigmatic metalens wide field-of-view LiDAR high-speed 3D imaging Full Text Additional Declarations There is no conflict of interest Supplementary Files SupplementaryinformationLSAv2.pdf Supplementary Information MovieS1.mp4 Dynamic 3D imaging of a high-speed rotating fan in the xy-plane. MovieS2.mp4 Dynamic 3D imaging of two rotating cylindrical targets in the xz-plane. MovieS3.mp4 Dynamic 3D imaging of a 3kHz chopper. Cite Share Download PDF Status: Published Journal Publication published 23 Jan, 2026 Read the published version in Light: Science & Applications → Version 1 posted Editorial decision: revise 03 Sep, 2025 Review # 4 received at journal 25 Aug, 2025 Review # 3 received at journal 23 Aug, 2025 Review # 1 received at journal 12 Aug, 2025 Reviewer # 4 agreed at journal 11 Aug, 2025 Reviewer # 3 agreed at journal 11 Aug, 2025 Reviewer # 2 agreed at journal 25 Jul, 2025 Reviewer # 1 agreed at journal 22 Jul, 2025 Reviewers invited by journal 29 Jun, 2025 Submission checks completed at journal 29 Jun, 2025 Editor assigned by journal 24 Jun, 2025 First submitted to journal 24 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6965728","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":478113245,"identity":"8ce85bc8-a994-4c6f-a97c-af174d50b78b","order_by":0,"name":"Xiangang 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