Fourier Ptychography probes the sample from different directions to achieve label-free quantitative phase imaging with a large space-bandwidth product. However, special attention has to be paid in the calibration of the optical setup to assure the accurate knowledge of the geometrical parameters involved in the image reconstruction. Any slight misalignment can provoke incorrect synthesis of the observables and, in turn, severe phase errors in the resulting high-resolution image. Here, we present a new processing pipeline that automatically removes such a priori unknown artifacts, thus making Fourier Ptychography miscalibration-tolerant. This result is achieved through a numerical Multi-Look approach that generates and combines multiple reconstructions of the same set of observables where phase artifacts are largely uncorrelated and, thus, automatically suppress each other. The proposed method is non-iterative, fully parallelizable, and completely blind, unlocking the use of Fourier Ptychography as an easy to handle tool or add-on to existing microscopes to be employed by unskilled users, thus paving the way to biomedical and clinical practices.

中文翻译：

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误差校准容忍傅里叶叠印法


傅立叶叠层成像技术从不同方向探测样品，以实现具有大空间带宽积的无标记定量相位成像。然而，在光学装置的校准中必须特别注意，以确保准确了解图像重建中涉及的几何参数。任何轻微的未对准都可能导致观测值合成不正确，进而导致生成的高分辨率图像出现严重的相位误差。在这里，我们提出了一种新的处理管道，可以自动消除这种先验未知的伪影，从而使傅里叶叠层摄影术能够容忍错误校准。这一结果是通过数值 Multi-Look 方法实现的，该方法生成并组合同一组可观测值的多个重建，其中相位伪影很大程度上不相关，因此自动相互抑制。所提出的方法是非迭代的、完全可并行的、完全盲的，解锁了傅里叶叠层描记术作为一种易于操作的工具或现有显微镜的附加功能，供不熟练的用户使用，从而为生物医学和临床实践铺平了道路。