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  1. Article

    Open Access

    Incorporating the image formation process into deep learning improves network performance

    We present Richardson–Lucy network (RLN), a fast and lightweight deep learning method for three-dimensional fluorescence microscopy deconvolution. RLN combines the traditional Richardson–Lucy iteration with a ...

    Yue Li, Yijun Su, Min Guo, **aofei Han, Jiamin Liu, Harshad D. Vishwasrao… in Nature Methods (2022)

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  2. No Access

    Article

    Structural and developmental principles of neuropil assembly in C. elegans

    Neuropil is a fundamental form of tissue organization within the brain1, in which densely packed neurons synaptically interconnect into precise circuit architecture2,3. However, the structural and developmental p...

    Mark W. Moyle, Kristopher M. Barnes, Manik Kuchroo, Alex Gonopolskiy… in Nature (2021)

  3. No Access

    Article

    Rapid image deconvolution and multiview fusion for optical microscopy

    The contrast and resolution of images obtained with optical microscopes can be improved by deconvolution and computational fusion of multiple views of the same sample, but these methods are computationally exp...

    Min Guo, Yue Li, Yijun Su, Talley Lambert, Damian Dalle Nogare… in Nature Biotechnology (2020)