PhotoniX, Volume. 4, Issue 1, 38(2023)

Deep tissue super-resolution imaging with adaptive optical two-photon multifocal structured illumination microscopy

Chenshuang Zhang1... Bin Yu1,*, Fangrui Lin1, Soham Samanta1, Huanhuan Yu1, Wei Zhang2, Yingying Jing1, Chunfeng Shang3,4, Danying Lin1,**, Ke Si5, Wei Gong5 and Junle Qu1,*** |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
  • 2Department of Computer Science and Technology, Anhui University of Finance and Economics, Bengbu 233030, China
  • 3Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
  • 4Shenzhen Institute of Neuroscience, Shenzhen, 518057, China
  • 5MOE Frontier Science Center for Brain Science & Brain-Machine Integration, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310058, China
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    References(31)

    [29] [29] Huang B, Li J, Yao B, Yang Z, Lam EY, Zhang J, et al. Enhancing image resolution of confocal fluorescence microscopy with deep learning. PhotoniX. 2023;4(1):1–22.

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    Chenshuang Zhang, Bin Yu, Fangrui Lin, Soham Samanta, Huanhuan Yu, Wei Zhang, Yingying Jing, Chunfeng Shang, Danying Lin, Ke Si, Wei Gong, Junle Qu. Deep tissue super-resolution imaging with adaptive optical two-photon multifocal structured illumination microscopy[J]. PhotoniX, 2023, 4(1): 38

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    Paper Information

    Category: Research Articles

    Received: Jul. 27, 2023

    Accepted: Nov. 27, 2023

    Published Online: Apr. 9, 2024

    The Author Email: Bin Yu (yubin@szu.edu.cn), Danying Lin (dylin@szu.edu.cn), Junle Qu (jlqu@szu.edu.cn)

    DOI:10.1186/s43074-023-00115-2

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