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Deep learning enables stochastic optical reconstruction microscopy-like superresolution image reconstruction from conventional microscopy.
Xu, Lei; Kan, Shichao; Yu, Xiying; Liu, Ye; Fu, Yuxia; Peng, Yiqiang; Liang, Yanhui; Cen, Yigang; Zhu, Changjun; Jiang, Wei.
Afiliação
  • Xu L; Department of Etiology and Carcinogenesis and State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
  • Kan S; Key Laboratory of Molecular and Cellular Systems Biology, College of Life Sciences, Tianjin Normal University, Tianjin 300387, China.
  • Yu X; School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China.
  • Liu Y; Department of Etiology and Carcinogenesis and State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
  • Fu Y; HAMD (Ningbo) Intelligent Medical Technology Co., Ltd, Ningbo 315194, China.
  • Peng Y; Department of Etiology and Carcinogenesis and State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
  • Liang Y; HAMD (Ningbo) Intelligent Medical Technology Co., Ltd, Ningbo 315194, China.
  • Cen Y; HAMD (Ningbo) Intelligent Medical Technology Co., Ltd, Ningbo 315194, China.
  • Zhu C; Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.
  • Jiang W; Key Laboratory of Molecular and Cellular Systems Biology, College of Life Sciences, Tianjin Normal University, Tianjin 300387, China.
iScience ; 26(11): 108145, 2023 Nov 17.
Article em En | MEDLINE | ID: mdl-37867953

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China