Bian Zichao, Dong Siyuan, Zheng Guoan
Opt Express. 2013 Dec 30;21(26):32400-10. doi: 10.1364/OE.21.032400.
Fourier ptychography (FP) is a recently developed imaging approach that bypasses the resolution limit defined by the lens' aperture. In current FP imaging platforms, systematic noise sources come from the intensity fluctuation of multiple LED elements and the pupil aberrations of the employed optics. These system uncertainties can significantly degrade the reconstruction quality and limit the achievable resolution, imposing a restriction on the effectiveness of the FP approach. In this paper, we report an optimization procedure that performs adaptive system correction for Fourier ptychographic imaging. Similar to the techniques used in phase retrieval, the reported procedure involves the evaluation of an image-quality metric at each iteration step, followed by the estimation of an improved system correction. This optimization process is repeated until the image-quality metric is maximized. As a demonstration, we used this process to correct for illumination intensity fluctuation, to compensate for pupil aberration of the optics, and to recover several unknown system parameters. The reported adaptive correction scheme may improve the robustness of Fourier ptychographic imaging by factoring out system imperfections and uncertainties.
傅里叶叠层成像术（FP）是一种最近开发的成像方法，它绕过了由透镜孔径定义的分辨率极限。在当前的FP成像平台中，系统噪声源来自多个LED元件的强度波动以及所采用光学器件的光瞳像差。这些系统不确定性会显著降低重建质量并限制可达到的分辨率，对FP方法的有效性造成限制。在本文中，我们报告了一种针对傅里叶叠层成像执行自适应系统校正的优化程序。与相位恢复中使用的技术类似，所报告的程序在每个迭代步骤中都涉及图像质量度量的评估，随后是改进的系统校正估计。重复此优化过程，直到图像质量度量最大化。作为演示，我们使用此过程来校正照明强度波动、补偿光学器件的光瞳像差以及恢复几个未知的系统参数。所报告的自适应校正方案可以通过排除系统缺陷和不确定性来提高傅里叶叠层成像的鲁棒性。
