MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information

Rui Yan, Singanallur V. Venkatakrishnan, Jun Liu, Charles A. Bouman, Wen Jiang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

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 languageEnglish
Pages (from-to)183-192
Number of pages10
JournalJournal of Structural Biology
Volume206
Issue number2
DOIs
StatePublished - 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.

FundersFunder number
National Institutes of Health
National Institute of Neurological Disorders and StrokeU01NS110437
Norges Idrettshøgskole

    Keywords

    • Contrast improvement
    • Cryo-ET
    • Missing information restoration
    • Missing wedge artifacts reduction
    • Model-based iterative reconstruction
    • Subtomogram averaging

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