DeepS: a web server for image optical sectioning and super resolution microscopy based on a deep learning framework.

Journal: Bioinformatics (Oxford, England)
Published Date: Sep 29, 2021

Abstract

MOTIVATION: Microscopy technology plays important roles in many biological research fields. Solvent-cleared brain high-resolution (HR) 3D image reconstruction is an important microscopy application. However, 3D microscopy image generation is time-consuming and expensive. Therefore, we have developed a deep learning framework (DeepS) for both image optical sectioning and super resolution microscopy.

Authors

  • Qingjie Zhu
    Chinese Institute for Brain Research (CIBR), Beijing 102206, China.
  • Yi Shao
    Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, China.
  • Zhicheng Wang
    Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
  • Xingjun Chen
    Chinese Institute for Brain Research (CIBR), Beijing 102206, China.
  • Chunqiong Li
    Chinese Institute for Brain Research (CIBR), Beijing 102206, China.
  • Zihan Liang
    Department of Bio-engineering, Southwest Jiaotong University, Chengdu, Sichuan 611756, China.
  • Mingyue Jia
    Chinese Institute for Brain Research (CIBR), Beijing 102206, China.
  • Qingchun Guo
    Chinese Institute for Brain Research (CIBR), Beijing 102206, China.
  • Hu Zhao
    Department of Comprehensive Dentistry, Texas A&M University, Dallas, TX 75246, USA.
  • Lei Kong
    Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

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