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    A deep-learning approach for high-speed Fourier ptychographic microscopy

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    Date Issued
    2018
    Publisher Version
    10.1364/3d.2018.jth3a.6
    Author(s)
    Nguyen, Thanh
    Xue, Yujia
    Tahir, Waleed
    Li, Yunzhe
    Tian, Lei
    Nehmetallah, George
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    Permanent Link
    https://hdl.handle.net/2144/40213
    OA Version
    Published version
    Citation (published version)
    Thanh Nguyen, Yujia Xue, Waleed Tahir, Yunzhe Li, Lei Tian, George Nehmetallah. 2018. "A deep-learning approach for high-speed Fourier ptychographic microscopy." Imaging Systems and Applications. Imaging Systems and Applications. https://doi.org/10.1364/3d.2018.jth3a.6
    Abstract
    We demonstrate a new convolutional neural network architecture to perform Fourier ptychographic Microscopy (FPM) reconstruction, which achieves high-resolution phase recovery with considerably less data than standard FPM.
    Rights
    © 2018 The Author(s)
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    • ENG: Electrical and Computer Engineering: Scholarly Papers [257]
    • BU Open Access Articles [3730]


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