2024/01/02 by Jing Zhang, Tengfei Zhao, Zhang, Jing +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #Electron and X-Ray Spectroscopy Techniques
paper · pdf · doi:10.48550/arxiv.2401.01097
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.