Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer.

Journal: Bioinformatics (Oxford, England)
Published Date: Mar 28, 2022

Abstract

MOTIVATION: Cryo-electron microscopy (cryo-EM) is a widely used technology for ultrastructure determination, which constructs the 3D structures of protein and macromolecular complex from a set of 2D micrographs. However, limited by the electron beam dose, the micrographs in cryo-EM generally suffer from the extremely low signal-to-noise ratio (SNR), which hampers the efficiency and effectiveness of downstream analysis. Especially, the noise in cryo-EM is not simple additive or multiplicative noise whose statistical characteristics are quite different from the ones in natural image, extremely shackling the performance of conventional denoising methods.

Authors

  • Hongjia Li
    High Performance Computer Research Center, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China.
  • Hui Zhang
    Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Xiaohua Wan
    High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. wanxiaohua@ict.ac.cn.
  • Zhidong Yang
    High Performance Computer Research Center, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China.
  • Chengmin Li
    National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
  • Jintao Li
    High Performance Computer Research Center, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China.
  • Renmin Han
    King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal, Saudi Arabia.
  • Ping Zhu
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
  • Fa Zhang
    High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.

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