Robust single-particle cryo-EM image denoising and restoration

Jing Zhang, Tengfei Zhao, ShiYu Hu, Xin Zhao
1/2/2024
cs.CV

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Abstract

Cryo-electron microscopy (cryo-EM) has achieved near-atomic level resolution of biomolecules by reconstructing 2D micrographs. However, the resolution and accuracy of the reconstructed particles are significantly reduced due to the extremely low signal-to-noise ratio (SNR) and complex noise structure of cryo-EM images. In this paper, we introduce a diffusion model with post-processing framework to effectively denoise and restore single particle cryo-EM images. Our method outperforms the state-of-the-art (SOTA) denoising methods by effectively removing structural noise that has not been addressed before. Additionally, more accurate and high-resolution three-dimensional reconstruction structures can be obtained from denoised cryo-EM images.

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Cite this paper

@article{zhang2024robust,
  title  = {Robust single-particle cryo-EM image denoising and restoration},
  author = {Jing Zhang and Tengfei Zhao and ShiYu Hu and Xin Zhao},
  year   = {2024},
  eprint = {2401.01097},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.01097v1}
}

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