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Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging.
Chen, Rong; Tang, Xiao; Zhao, Yuxuan; Shen, Zeyu; Zhang, Meng; Shen, Yusheng; Li, Tiantian; Chung, Casper Ho Yin; Zhang, Lijuan; Wang, Ji; Cui, Binbin; Fei, Peng; Guo, Yusong; Du, Shengwang; Yao, Shuhuai.
Afiliación
  • Chen R; Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Tang X; Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Zhao Y; School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China.
  • Shen Z; Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Zhang M; School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China.
  • Shen Y; Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Li T; Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Chung CHY; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Zhang L; School of Pharmaceutical Sciences, Guizhou University, 550025, Guizhou, China.
  • Wang J; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Cui B; Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Fei P; School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China.
  • Guo Y; Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China. guoyusong@ust.hk.
  • Du S; Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China. dusw@utdallas.edu.
  • Yao S; Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China. dusw@utdallas.edu.
Nat Commun ; 14(1): 2854, 2023 05 18.
Article en En | MEDLINE | ID: mdl-37202407

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido