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    ARTICLE

    Research on Denoising of Cryo-em Images Based on Deep Learning

    Jianquan Ouyang*, Yi He, Huanrong Tang, Zhousong Fu

    Journal of Information Hiding and Privacy Protection, Vol.2, No.1, pp. 1-9, 2020, DOI:10.32604/jihpp.2020.010657

    Abstract Cryo-em (Cryogenic electron microscopy) is a technology this can build bio-macromolecule of three-dimensional structure. Under the condition of now, the projection image of the biological macromolecule which is collected by the Cryo-em technology that the contrast is low, the signal to noise is low, image blurring, and not easy to distinguish single particle from background, the corresponding processing technology is lagging behind. Therefore, make Cryoem image denoising useful, and maintaining bio-macromolecule of contour or signal of function-construct improve Cryo-em image quality or resolution of Cryo-em three-dimensional structure have important effect. This paper researched a denoising function base on GANs (generative… More >

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