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

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. 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.

Authors:
 [1];  [2];  [3];  [4]; ORCiD logo [1]
  1. Purdue Univ., West Lafayette, IN (United States). Markey Center for Structural Biology. Dept. of Biological Sciences
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Yale Univ., West Haven, CT (United States). School of Medicine. Dept. of Microbial Pathogenesis
  4. Purdue Univ., West Lafayette, IN (United States). School of Electrical and Computer Engineering
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Purdue Univ., West Lafayette, IN (United States)
Sponsoring Org.:
USDOE; National Inst. of Health (NIH) (United States)
OSTI Identifier:
1511930
Grant/Contract Number:  
AC05-00OR22725; 1U01NS110437
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Structural Biology
Additional Journal Information:
Journal Volume: 206; Journal Issue: 2; Journal ID: ISSN 1047-8477
Publisher:
Elseiver
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; model-based iterative reconstruction; cryo-ET; contrast improvement; missing wedge artifacts reduction; missing information restoration; subtomogram averaging

Citation Formats

Yan, Rui, Venkatakrishnan, Singanallur V., Liu, Jun, Bouman, Charles A., and Jiang, Wen. MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information. United States: N. p., 2019. Web. doi:10.1016/j.jsb.2019.03.002.
Yan, Rui, Venkatakrishnan, Singanallur V., Liu, Jun, Bouman, Charles A., & Jiang, Wen. MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information. United States. doi:10.1016/j.jsb.2019.03.002.
Yan, Rui, Venkatakrishnan, Singanallur V., Liu, Jun, Bouman, Charles A., and Jiang, Wen. Mon . "MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information". United States. doi:10.1016/j.jsb.2019.03.002.
@article{osti_1511930,
title = {MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information},
author = {Yan, Rui and Venkatakrishnan, Singanallur V. and Liu, Jun and Bouman, Charles A. and Jiang, Wen},
abstractNote = {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. 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.},
doi = {10.1016/j.jsb.2019.03.002},
journal = {Journal of Structural Biology},
number = 2,
volume = 206,
place = {United States},
year = {2019},
month = {3}
}

Journal Article:
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This content will become publicly available on March 11, 2020
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