紧聚焦场的原位全矢量层析与瞳函数恢复
In situ fully vectorial tomography and pupil function retrieval of tightly focused fields
AI总结：
本文提出一种原位方法，利用相位调制聚焦、偏振分束检测及基于最少采样矩阵傅里叶变换的解码算法，仅需10帧2D测量即可在10秒内实现紧聚焦场全矢量信息重建与瞳函数恢复，精度约90%，并成功应用于全矢量场操控、自适应光学纳米显微及混合态问题。
摘要：
紧聚焦光场在纳米光学中至关重要，但其应用受限于难以实现准确且高效的表征。本文开发了一种原位方法，用于重建三维（3D）空间中紧聚焦场的全矢量信息，同时恢复瞳函数。该方法利用相位调制聚焦和偏振分束检测对这些场进行编码，随后通过基于最少采样矩阵傅里叶变换和解析导出的梯度的算法进行解码。我们进一步采用焦点扫描策略。结合解码算法，该策略减轻了检测路径中的缺陷。该方法仅需10帧2D测量，即可在10秒内实现约90%的层析和瞳函数恢复精度。因此，它可作为纳米尺度光精确表征与优化的稳健便捷工具。我们将该技术应用于全矢量场操控、自适应光学辅助纳米显微，以及解决混合态问题。
英文摘要：
Tightly focused optical fields are essential in nano-optics, but their applications have been limited by the challenges of accurate yet efficient characterization. In this article, we develop an in situ method for reconstructing the fully vectorial information of tightly focused fields in three-dimensional (3D) space, while simultaneously retrieving the pupil functions. Our approach encodes these fields using phase-modulated focusing and polarization-split detection, followed by decoding through an algorithm based on least-sampling matrix-based Fourier transform and analytically derived gradient. We further employ a focus scanning strategy. When combined with our decoding algorithm, this strategy mitigates the imperfections in the detection path. This approach requires only 10 frames of 2D measurements to realize approximate 90% accuracy in tomography and pupil function retrieval within 10s. Thus, it serves as a robust and convenient tool for the precise characterization and optimization of light at the nanoscale. We apply this technique to fully vectorial field manipulation, adaptive-optics-assisted nanoscopy, and addressing mixed-state problems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
