Konda Pavan Chandra, Loetgering Lars, Zhou Kevin C, Xu Shiqi, Harvey Andrew R, Horstmeyer Roarke
Opt Express. 2020 Mar 30;28(7):9603-9630. doi: 10.1364/OE.386168.
Traditional imaging systems exhibit a well-known trade-off between the resolution and the field of view of their captured images. Typical cameras and microscopes can either "zoom in" and image at high-resolution, or they can "zoom out" to see a larger area at lower resolution, but can rarely achieve both effects simultaneously. In this review, we present details about a relatively new procedure termed Fourier ptychography (FP), which addresses the above trade-off to produce gigapixel-scale images without requiring any moving parts. To accomplish this, FP captures multiple low-resolution, large field-of-view images and computationally combines them in the Fourier domain into a high-resolution, large field-of-view result. Here, we present details about the various implementations of FP and highlight its demonstrated advantages to date, such as aberration recovery, phase imaging, and 3D tomographic reconstruction, to name a few. After providing some basics about FP, we list important details for successful experimental implementation, discuss its relationship with other computational imaging techniques, and point to the latest advances in the field while highlighting persisting challenges.
传统成像系统在其捕获图像的分辨率和视野之间存在一种众所周知的权衡。典型的相机和显微镜要么“放大”并以高分辨率成像，要么“缩小”以在低分辨率下看到更大的区域，但很少能同时实现这两种效果。在本综述中，我们详细介绍了一种相对较新的方法，称为傅里叶叠层成像术（FP），它解决了上述权衡问题，能够在不需要任何移动部件的情况下生成千兆像素级的图像。为此，FP捕获多个低分辨率、大视野的图像，并在傅里叶域中将它们进行计算组合，得到高分辨率、大视野的结果。在这里，我们详细介绍了FP的各种实现方式，并突出了其迄今为止已证明的优势，比如像差恢复、相位成像和三维断层重建等等。在介绍了一些关于FP的基础知识之后，我们列出了成功进行实验实现的重要细节，讨论了它与其他计算成像技术的关系，并指出了该领域的最新进展，同时强调了仍然存在的挑战。
