State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Cells. 2024 Feb 10;13(4):324. doi: 10.3390/cells13040324.
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.
傅里叶叠层显微镜(FPM)于 2013 年崭露头角,成为一种重要的成像技术,因其具有精确的相位恢复、广阔的视场(FOV)和卓越的分辨率等显著特点而引起了广泛关注。在过去的十年中,FPM 已成为显微镜领域的重要工具,其应用涵盖计量学、科学研究、生物医学和检测等领域。FPM 的出现是因为它能够有效地解决成像系统中 FOV 和分辨率之间的折衷问题。它具有广泛的应用,包括无标记成像、药物筛选和数字病理学。在本综述中,我们简要介绍了 FPM 的基本原理,并将其与类似的成像技术进行了比较。此外,我们还研究了如何实现恢复照片的彩色化和提高 FPM 的速度。随后,我们展示了几个利用上述技术的 FPM 应用,特别关注数字病理学、药物筛选和三维成像。我们深入探讨了将深度学习与 FPM 集成所带来的益处和挑战。最后,我们总结了 FPM 的技术进展,并探讨了其未来发展的前景。