Li Muyuan, Li Wenli, Li Haoyong, Zhu Yechuan, Yu Yiting
Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi'an, 710072, China.
Key Laboratory of Micro- and Nano Electro-Mechanical Systems of Shaanxi Province, Northwestern Polytechnical University, Xi'an, 710072, China.
Sci Rep. 2017 May 2;7(1):1335. doi: 10.1038/s41598-017-01492-y.
The conventional multifocal optical elements cannot precisely control the focal number, spot size, as well as the energy distribution in between. Here, the binary amplitude-type super-oscillatory lens (SOL) is utilized, and a robust and universal optimization method based on the vectorial angular spectrum (VAS) theory and the genetic algorithm (GA) is proposed, aiming to achieve the required focusing performance with arbitrary number of foci in preset energy distribution. Several typical designs of multifocal SOLs are demonstrated. Verified by the finite-difference time-domain (FDTD) numerical simulation, the designed multifocal SOLs agree well with the specific requirements. Moreover, the full-width at half-maximum (FWHM) of the achieved focal spots is close to λ/3 for all the cases (λ being the operating wavelength), which successfully breaks the diffraction limit. In addition, the designed SOLs are partially insensitive to the incident polarization state, functioning very well for both the linear polarization and circular polarization. The optimization method presented provides a useful design strategy for realizing a multiple sub-diffraction-limit foci field of SOLs. This research can find its potentials in such fields as parallel particle trapping and high-resolution microscopy imaging.
传统的多焦点光学元件无法精确控制焦点数量、光斑尺寸以及其间的能量分布。在此,我们利用二元振幅型超振荡透镜(SOL),并基于矢量角谱(VAS)理论和遗传算法(GA)提出了一种稳健且通用的优化方法,旨在实现具有预设能量分布的任意数量焦点的所需聚焦性能。展示了几种多焦点SOL的典型设计。经时域有限差分(FDTD)数值模拟验证,所设计的多焦点SOL与特定要求吻合良好。此外,在所有情况下,所实现焦点光斑的半高宽(FWHM)均接近λ/3(λ为工作波长),成功突破了衍射极限。此外,所设计的SOL对入射偏振态部分不敏感,对线偏振和圆偏振均能良好工作。所提出的优化方法为实现SOL的多个亚衍射极限焦点场提供了一种有用的设计策略。该研究在平行粒子捕获和高分辨率显微镜成像等领域具有潜在应用价值。