A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography
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DOI: 10.1038/s41467-024-51438-y
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References listed on IDEAS
- Yun-Tao Liu & Heng Zhang & Hui Wang & Chang-Lu Tao & Guo-Qiang Bi & Z. Hong Zhou, 2022. "Isotropic reconstruction for electron tomography with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
- Haonan Zhang & Yan Li & Yanan Liu & Dongyu Li & Lin Wang & Kai Song & Keyan Bao & Ping Zhu, 2023. "A method for restoring signals and revealing individual macromolecule states in cryo-ET, REST," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Tristan Bepler & Kotaro Kelley & Alex J. Noble & Bonnie Berger, 2020. "Topaz-Denoise: general deep denoising models for cryoEM and cryoET," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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