Vectorial adaptive optics for advanced imaging systems

IF 2 4区 物理与天体物理 Q3 OPTICS
Yifei Ma, Zimo Zhao, Jiahe Cui, Jingyu Wang, Chao He
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引用次数: 0

Abstract

Vectorial adaptive optics (V-AO) is a cutting-edge technique extending conventional AO into the vectorial domain encompassing both polarization and phase feedback correction for optical systems. However, previous V-AO approaches focus on point correction. In this letter, we extend this AO approach into the imaging domain. We show how V-AO can benefit an aberrated imaging system to enhance not only scalar imaging but also the quality of vectorial information. Two important criteria, vectorial precision and uniformity are put forward and used in practice to evaluate the performance of the correction. These experimental validations pave the way for real-world imaging for V-AO technology and its applications.
用于先进成像系统的矢量自适应光学系统
矢量自适应光学(V-AO)是一种尖端技术,它将传统的自适应光学扩展到矢量域,包括光学系统的偏振和相位反馈校正。然而,以往的矢量自适应光学方法侧重于点校正。在这封信中,我们将这种 AO 方法扩展到成像领域。我们展示了 V-AO 如何使像差成像系统受益,不仅增强标量成像,而且提高矢量信息的质量。我们提出了两个重要标准,即矢量精度和均匀性,并在实践中用来评估校正的性能。这些实验验证为 V-AO 技术及其应用的实际成像铺平了道路。
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来源期刊
CiteScore
4.50
自引率
4.80%
发文量
237
审稿时长
1.9 months
期刊介绍: Journal of Optics publishes new experimental and theoretical research across all areas of pure and applied optics, both modern and classical. Research areas are categorised as: Nanophotonics and plasmonics Metamaterials and structured photonic materials Quantum photonics Biophotonics Light-matter interactions Nonlinear and ultrafast optics Propagation, diffraction and scattering Optical communication Integrated optics Photovoltaics and energy harvesting We discourage incremental advances, purely numerical simulations without any validation, or research without a strong optics advance, e.g. computer algorithms applied to optical and imaging processes, equipment designs or material fabrication.
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