Robust single-particle cryo-EM image denoising and restoration

Autor:	Zhang, Jing, Zhao, Tengfei, Hu, ShiYu, Zhao, Xin
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: This paper is accepted to ICASSP 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2401.01097 Zobrazit plný text záznamu View this record from Arxiv