Robust Single-Particle Cryo-Em Image Denoising and Restoration
Jing Zhang, Tengfei Zhao, Shiyu Hu, Xin Zhao
Abstract
Cryo-electron microscopy (cryo-EM) has achieved nearatomic 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.
BibTeX
@inproceedings{icassp2024_robustsinglepart,
title = {Robust Single-Particle Cryo-Em Image Denoising and Restoration},
author = {Jing Zhang and Tengfei Zhao and Shiyu Hu and Xin Zhao},
booktitle = {ICASSP 2024},
year = {2024}
}