Fourier Ptychographic Microscopy 10 Years on: A Review

Author:

Xu Fannuo12,Wu Zipei13ORCID,Tan Chao14ORCID,Liao Yizheng12,Wang Zhiping15,Chen Keru16,Pan An12ORCID

Affiliation:

1. State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. School of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China

4. School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China

5. School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China

6. School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Abstract

Fourier ptychographic microscopy (FPM) emerged as a prominent imaging technique in 2013, attracting significant interest due to its remarkable features such as precise phase retrieval, expansive field of view (FOV), and superior resolution. Over the past decade, FPM has become an essential tool in microscopy, with applications in metrology, scientific research, biomedicine, and inspection. This achievement arises from its ability to effectively address the persistent challenge of achieving a trade-off between FOV and resolution in imaging systems. It has a wide range of applications, including label-free imaging, drug screening, and digital pathology. In this comprehensive review, we present a concise overview of the fundamental principles of FPM and compare it with similar imaging techniques. In addition, we present a study on achieving colorization of restored photographs and enhancing the speed of FPM. Subsequently, we showcase several FPM applications utilizing the previously described technologies, with a specific focus on digital pathology, drug screening, and three-dimensional imaging. We thoroughly examine the benefits and challenges associated with integrating deep learning and FPM. To summarize, we express our own viewpoints on the technological progress of FPM and explore prospective avenues for its future developments.

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Publisher

MDPI AG

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