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光学波前传感技术研究进展OA北大核心CSTPCD

Recent Advances in Optical Wavefront Sensing Technology

中文摘要英文摘要

光学波前是光波相位面的几何表示,光学波前传感技术通过检测光波传播路径中的相位变化来分析物体的性质.该技术广泛应用于大气湍流检测、光学元件缺陷分析、生物样品研究等领域,在天文学、自适应光学、显微成像、激光系统和生物医学等方面具有重要作用.然而,常见探测器仅对光强度敏感,为了探测光学波前,通常需要在探测前端使用一系列复杂的光学元件,这导致系统体积庞大、成本高昂且结构复杂.近年来,随着微纳光学和人工智能等领域的不断进展,涌现出一系列基于新原理、新器件和新算法的集成化、小型化和高性能的光学波前传感技术.该论文系统综述了近期光学波前传感技术的研究进展,并根据其原理将其分为干涉型和非干涉型两大类,具体包括剪切干涉型、光栅干涉型、近场干涉型、算法重构型和维度关联型等技术.最后,总结了当前领域尚存的挑战,并展望了未来可能的研究方向.

Optical wavefront is the geometric representation of the phase surface of light waves.Optical wavefront sensing technology analyzes the properties of objects by detecting phase changes in the light wave propagation path.This technology is widely used in atmospheric turbulence detection,optical element defect analysis,and biological sample research,playing a crucial role in fields such as astronomy,adaptive optics,microscopic imaging,laser systems,and biomedicine.However,common detectors are only sensitive to light intensity.To detect optical wavefronts,a series of complex optical components are typically required at the detection front end,leading to large system sizes,high costs,and structural complexity.In recent years,with continuous advancements in micro-nano optics and artificial intelligence,a series of integrated,miniaturized,and high-performance optical wavefront sensing technologies based on new principles,devices,and algorithms have emerged.This paper systematically reviews the recent research progress in optical wavefront sensing techniques,including two main types of interferometric and non-interferometric as well as typical methods:shear interferometry type,grating interferometry type,near-field interferometry type,algorithmic reconstruction type,and dimension-associated type.Finally,the current challenges in the field are summarized and the future development directions prospected.

孙思蔚;魏静轩;刘永

电子科技大学光电科学与工程学院,成都 611731

物理学

光学波前传感微纳光学人工智能自适应光学

optical wavefront sensormicro/nano-opticsartificial intelligenceadaptive optics

《电子科技大学学报》 2024 (005)

672-684 / 13

国家自然科学基金(62375042)

10.12178/1001-0548.2024188

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