Ghostbuster: a phase retrieval diffraction tomography algorithm for cryo-EM
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913184069189632 |
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| author | Yeo, Joel Daurer, Benedikt J. Kimanius, Dari Balakrishnan, Deepan Bepler, Tristan Tan, Yong Zi Loh, N. Duane |
| author_facet | Yeo, Joel Daurer, Benedikt J. Kimanius, Dari Balakrishnan, Deepan Bepler, Tristan Tan, Yong Zi Loh, N. Duane |
| contents | Ewald sphere curvature correction, which extends beyond the projection approximation, stretches the shallow depth of field in cryo-EM reconstructions of thick particles. Here we show that even for previously assumed thin particles, reconstruction artifacts which we refer to as ghosts can appear. By retrieving the lost phases of the electron exitwaves and accounting for the first Born approximation scattering within the particle, we show that these ghosts can be effectively eliminated. Our simulations demonstrate how such ghostbusting can improve reconstructions as compared to existing state-of-the-art software. Like ptychographic cryo-EM, our Ghostbuster algorithm uses phase retrieval to improve reconstructions, but unlike the former, we do not need to modify the existing data acquisition pipelines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_08965 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Ghostbuster: a phase retrieval diffraction tomography algorithm for cryo-EM Yeo, Joel Daurer, Benedikt J. Kimanius, Dari Balakrishnan, Deepan Bepler, Tristan Tan, Yong Zi Loh, N. Duane Computational Physics Optics Ewald sphere curvature correction, which extends beyond the projection approximation, stretches the shallow depth of field in cryo-EM reconstructions of thick particles. Here we show that even for previously assumed thin particles, reconstruction artifacts which we refer to as ghosts can appear. By retrieving the lost phases of the electron exitwaves and accounting for the first Born approximation scattering within the particle, we show that these ghosts can be effectively eliminated. Our simulations demonstrate how such ghostbusting can improve reconstructions as compared to existing state-of-the-art software. Like ptychographic cryo-EM, our Ghostbuster algorithm uses phase retrieval to improve reconstructions, but unlike the former, we do not need to modify the existing data acquisition pipelines. |
| title | Ghostbuster: a phase retrieval diffraction tomography algorithm for cryo-EM |
| topic | Computational Physics Optics |
| url | https://arxiv.org/abs/2312.08965 |