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Deep-learning-enhanced light-field microscopy

Nature Methods volume 18, pages 459–460 (2021)Cite this article

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Light-field microscopes can image three-dimensional dynamics of biological samples at unprecedented speed, but the computational reconstruction necessary for image formation is artifact-prone and time-consuming. Deep learning closes this gap between imaging and reconstruction speed.

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Fig. 1: Image reconstructions in LFM.

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Authors and Affiliations

  1. Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China

    Kai Wang

  2. University of Chinese Academy of Sciences, Beijing, China

    Kai Wang

  3. Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China

    Kai Wang

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  1. Kai Wang
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Correspondence to Kai Wang.

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Wang, K. Deep-learning-enhanced light-field microscopy. Nat Methods 18, 459–460 (2021). https://doi.org/10.1038/s41592-021-01151-1

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