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Fourier Ptychographic Microscopy 10 Years on: A Review.
Xu, Fannuo; Wu, Zipei; Tan, Chao; Liao, Yizheng; Wang, Zhiping; Chen, Keru; Pan, An.
Afiliación
  • Xu F; State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
  • Wu Z; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Tan C; State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
  • Liao Y; School of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
  • Wang Z; State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
  • Chen K; School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
  • Pan A; State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
Cells ; 13(4)2024 Feb 10.
Article en En | MEDLINE | ID: mdl-38391937
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Microscopía Idioma: En Revista: Cells Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Microscopía Idioma: En Revista: Cells Año: 2024 Tipo del documento: Article País de afiliación: China