Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging

Three-dimensional (3D) imaging captures spatial depth and multidimensional attributes, enabling precise scene reconstruction for diverse applications in robotics, augmented reality, precision medicine, and industrial processing. Fundamentally, 3D imaging relies on integrating front-end sensing devices with back-end computational algorithms. Recent algorithmic advances, particularly those leveraging artificial intelligence, impose stringent hardware demands, rendering traditional sensors such as charge-coupled device and complementary metal oxide semiconductor cameras insufficient for emerging applications. Driven by these novel paradigms, a new generation of front-end devices has emerged, including metasurfaces, neuromorphic cameras, and reconfigurable optoelectronic components, collectively overcoming limitations in speed, sensitivity, and resolution. These hardware innovations enhance multidimensional data acquisition, facilitating real-time processing, and robust depth extraction. This Mini-Review systematically introduces algorithm-driven front-end sensors, encompassing conventional, emerging optoelectronic, and photonic devices, highlighting their distinct performance advantages. Finally, we address the current manufacturing and integration limitations of these novel devices, providing perspectives on future opportunities.

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Publication Details

Journal
Nano Letters
Published
2026-04-22
DOI
https://doi.org/10.1021/acs.nanolett.6c00285
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging

Tao Zheng, Zejian Lv, Jiewei Chen, Chengyi Zhu et al.
Nano Letters
Advanced Optical Sensing Technologies
article

Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging

Tao Zheng, Zejian Lv, Jiewei Chen, Chengyi Zhu, Chai Yang, Wenxiao Wang, Tao Zhou, Wanfei Lu, Xueyou Yang
article en

Abstract

Three-dimensional (3D) imaging captures spatial depth and multidimensional attributes, enabling precise scene reconstruction for diverse applications in robotics, augmented reality, precision medicine, and industrial processing. Fundamentally, 3D imaging relies on integrating front-end sensing devices with back-end computational algorithms. Recent algorithmic advances, particularly those leveraging artificial intelligence, impose stringent hardware demands, rendering traditional sensors such as charge-coupled device and complementary metal oxide semiconductor cameras insufficient for emerging applications. Driven by these novel paradigms, a new generation of front-end devices has emerged, including metasurfaces, neuromorphic cameras, and reconfigurable optoelectronic components, collectively overcoming limitations in speed, sensitivity, and resolution. These hardware innovations enhance multidimensional data acquisition, facilitating real-time processing, and robust depth extraction. This Mini-Review systematically introduces algorithm-driven front-end sensors, encompassing conventional, emerging optoelectronic, and photonic devices, highlighting their distinct performance advantages. Finally, we address the current manufacturing and integration limitations of these novel devices, providing perspectives on future opportunities.

Nano Letters
Hong Kong Polytechnic University (HK), South China Normal University (CN), Integrated Optoelectronics (Norway) (NO), Photonic Systems (United States) (US)
National Natural Science Foundation of China, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Advanced Optical Sensing Technologies
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