Opto-Electronic Advances, Volume. 6, Issue 4, 220105(2023)

Deep learning enhanced NIR-II volumetric imaging of whole mice vasculature

Sitong Wu1...2,†, Zhichao Yang1,2,†, Chenguang Ma1,†, Xun Zhang1, Chao Mi1, Jiajia Zhou2, Zhiyong Guo1,3,*, and Dayong Jin1,23,** |Show fewer author(s)
Author Affiliations
  • 1UTS-SUSTech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
  • 2Institute for Biomedical Materials & Devices, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
  • 3Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen 518055, China
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    References(2)

    [4] [4] Du HT, Wan H, Dai HJ. Recent advances in development of NIR-II fluorescent agents. In Benayas A, Hemmer E, Hong GS, Jaque D. Near Infrared-Emitting Nanoparticles for Biomedical Applications 83–101 (Springer, 2020);http://doi.org/10.1007/978-3-030-32036-2_5.

    [27] [27] Iandola F, Moskewicz M, Karayev S, Girshick R, Darrell T et al. DenseNet: implementing efficient convnet descriptor pyramids. arXiv: 1404.1869 (2014).

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    Sitong Wu, Zhichao Yang, Chenguang Ma, Xun Zhang, Chao Mi, Jiajia Zhou, Zhiyong Guo, Dayong Jin. Deep learning enhanced NIR-II volumetric imaging of whole mice vasculature[J]. Opto-Electronic Advances, 2023, 6(4): 220105

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    Paper Information

    Category: Research Articles

    Received: May. 31, 2022

    Accepted: Oct. 12, 2022

    Published Online: Jun. 13, 2023

    The Author Email:

    DOI:10.29026/oea.2023.220105

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