Abstract
Cryo-Electron Tomography (cryo-ET) has become an essential technique in revealing cellular and macromolecular assembly structures in their native states. However, due to radiation damage and the limited tilt range, cryo-ET suffers from low contrast and missing wedge artifacts, which limits the tomograms to low resolution and hinders further biological interpretation. In this study, we applied the Model-Based Iterative Reconstruction (MBIR) method to obtain tomographic 3D reconstructions of experimental cryo-ET datasets and demonstrated the advantages of MBIR in contrast improvement, missing wedge artifacts reduction, missing information restoration, and subtomogram averaging compared with other reconstruction approaches. Considering the outstanding reconstruction quality, MBIR has a great potential in the determination of high resolution biological structures with cryo-ET.
Original language | English |
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Pages (from-to) | 183-192 |
Number of pages | 10 |
Journal | Journal of Structural Biology |
Volume | 206 |
Issue number | 2 |
DOIs | |
State | Published - May 1 2019 |
Funding
This work was supported in part by Showalter Faculty Scholar grant and a NIH grant (1U01NS110437) to W.J. We thank Ms. Brenda Gonzalez for her assistance in preparation of the manuscript. R.Y. and W.J. conceived the project and designed the research, analyzed and interpreted data, drafted, revised, and completed final approval of the manuscript. S.V. and C.B. developed the algorithm and implemented the code. J.L. provided some test data. All authors reviewed the manuscript, agreed to all the contents and agreed the submission. The authors declare no competing financial interests. This work was supported in part by Showalter Faculty Scholar grant and a NIH grant ( 1U01NS110437 ) to W.J. We thank Ms. Brenda Gonzalez for her assistance in preparation of the manuscript.
Funders | Funder number |
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National Institutes of Health | |
National Institute of Neurological Disorders and Stroke | U01NS110437 |
Norges Idrettshøgskole |
Keywords
- Contrast improvement
- Cryo-ET
- Missing information restoration
- Missing wedge artifacts reduction
- Model-based iterative reconstruction
- Subtomogram averaging