Chen Yanqi, Xu Jinghao, Pan An
Opt Lett. 2024 Jun 1;49(11):3222-3225. doi: 10.1364/OL.524267.
Fourier ptychographic microscopy (FPM) provides a solution of high-throughput phase imaging. Thanks to its coherent imaging model, FPM has the capacity of depth-of-field (DOF) extension by simultaneously recovering the sample's transmittance function and pupil aberration, which contains a defocus term. However, existing phase retrieval algorithms (PRs) often struggle in the presence of a significant defocus. In this Letter, different PRs with embedded pupil recovery are compared, and the one based on the alternating direction multiplier method (ADMM-FPM) demonstrates promising potential for reconstructing highly defocused FPM images. Besides, we present a plug-and-play framework that integrates ADMM-FPM and total variation or Hessian denoiser for pupil function enhancement. Both simulations and experiments demonstrate that this framework enables robust reconstruction of defocused FPM images without any prior knowledge of defocus distance or sample characteristics. In experiments involving USAF 1951 targets and pathologic slides, ADMM-FPM combined with the Hessian denoiser successfully corrected the defocus up to approximately 200 µm, i.e., extending the DOF to 400 µm.
傅里叶叠层显微镜术(FPM)提供了一种高通量相位成像的解决方案。由于其相干成像模型,FPM能够通过同时恢复包含离焦项的样品透过率函数和光瞳像差来扩展景深(DOF)。然而,现有的相位恢复算法(PRs)在存在显著离焦的情况下往往效果不佳。在本信函中,对具有嵌入式光瞳恢复功能的不同PRs进行了比较,基于交替方向乘子法的算法(ADMM-FPM)在重建高度离焦的FPM图像方面显示出了有前景的潜力。此外,我们提出了一个即插即用框架,该框架将ADMM-FPM与全变差或黑塞去噪器相结合以增强光瞳函数。仿真和实验均表明,该框架能够在无需任何离焦距离或样品特征先验知识的情况下,稳健地重建离焦的FPM图像。在涉及美国空军1951靶标和病理切片的实验中,ADMM-FPM与黑塞去噪器相结合成功校正了高达约200 µm的离焦,即把景深扩展到了400 µm。