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Joint micrograph denoising and protein localization in cryo-electron microscopy.

Publication ,  Journal Article
Huang, Q; Zhou, Y; Liu, H-F; Bartesaghi, A
Published in: Biological imaging
January 2024

Cryo-electron microscopy (cryo-EM) is an imaging technique that allows the visualization of proteins and macromolecular complexes at near-atomic resolution. The low electron doses used to prevent radiation damage to the biological samples result in images where the power of noise is 100 times stronger than that of the signal. Accurate identification of proteins from these low signal-to-noise ratio (SNR) images is a critical task, as the detected positions serve as inputs for the downstream 3D structure determination process. Current methods either fail to identify all true positives or result in many false positives, especially when analyzing images from smaller-sized proteins that exhibit extremely low contrast, or require manual labeling that can take days to complete. Acknowledging the fact that accurate protein identification is dependent upon the visual interpretability of micrographs, we propose a framework that can perform denoising and detection in a joint manner and enable particle localization under extremely low SNR conditions using self-supervised denoising and particle identification from sparsely annotated data. We validate our approach on three challenging single-particle cryo-EM datasets and projection images from one cryo-electron tomography dataset with extremely low SNR, showing that it outperforms existing state-of-the-art methods used for cryo-EM image analysis by a significant margin. We also evaluate the performance of our algorithm under decreasing SNR conditions and show that our method is more robust to noise than competing methods.

Duke Scholars

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Published In

Biological imaging

DOI

EISSN

2633-903X

ISSN

2633-903X

Publication Date

January 2024

Volume

4

Start / End Page

e4
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Huang, Q., Zhou, Y., Liu, H.-F., & Bartesaghi, A. (2024). Joint micrograph denoising and protein localization in cryo-electron microscopy. Biological Imaging, 4, e4. https://doi.org/10.1017/s2633903x24000035
Huang, Qinwen, Ye Zhou, Hsuan-Fu Liu, and Alberto Bartesaghi. “Joint micrograph denoising and protein localization in cryo-electron microscopy.Biological Imaging 4 (January 2024): e4. https://doi.org/10.1017/s2633903x24000035.
Huang Q, Zhou Y, Liu H-F, Bartesaghi A. Joint micrograph denoising and protein localization in cryo-electron microscopy. Biological imaging. 2024 Jan;4:e4.
Huang, Qinwen, et al. “Joint micrograph denoising and protein localization in cryo-electron microscopy.Biological Imaging, vol. 4, Jan. 2024, p. e4. Epmc, doi:10.1017/s2633903x24000035.
Huang Q, Zhou Y, Liu H-F, Bartesaghi A. Joint micrograph denoising and protein localization in cryo-electron microscopy. Biological imaging. 2024 Jan;4:e4.

Published In

Biological imaging

DOI

EISSN

2633-903X

ISSN

2633-903X

Publication Date

January 2024

Volume

4

Start / End Page

e4