Robust single-particle cryo-EM image denoising and restoration

• URL: http://arxiv.org/abs/2401.01097v1
• Date: Tue, 2 Jan 2024 08:33:36 GMT
• Title: Robust single-particle cryo-EM image denoising and restoration
• Authors: Jing Zhang, Tengfei Zhao, ShiYu Hu, Xin Zhao
• Abstract summary: 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. We introduce a diffusion model with post-processing framework to effectively denoise and restore single particle cryo-EM images.
• Score: 11.173867153077692
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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