ROBUST SINGLE-PARTICLE CRYO-EM IMAGE DENOISING AND RESTORATION

被引：1

作者：

Zhang, Jing ^{[1
,2
]}

Zhao, Tengfei ^{[1
]}

Hu, Shiyu ^{[1
]}

Zhao, Xin ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China

[2] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing, Peoples R China

来源：

2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP 2024 | 2024年

关键词：

Singe particle cryo-electron microscopy; image denoising; image restoration; diffusion model;

D O I：

10.1109/ICASSP48485.2024.10447135

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：2995 / 2999

页数：5

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