ArticleJournal of structural biology2019
MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information.
Article in Journal of structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.Bioinformatics (Oxford, England) · 2026Article
- ICECREAM: high-fidelity equivariant cryo-electron tomography.Acta crystallographica. Section D, Structural biology · 2026Article
- Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.Acta crystallographica. Section D, Structural biology · 2026Article
- cryoTIGER: deep-learning based tilt interpolation generator for enhanced reconstruction in cryo electron tomography.Communications biology · 2025Article
- Patchy nanoparticles by atomic stencilling.Nature · 2025Article
- Curvature Generation and Engineering Principles fromACS nano · 2025Article
- Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography.Scientific reports · 2025Article
- A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography.Nature communications · 2024Article
- Correction of preferred orientation-induced distortion in cryo-electron microscopy maps.Science advances · 2024Article
- Angle between DNA linker and nucleosome core particle regulates array compaction revealed by individual-particle cryo-electron tomography.Nature communications · 2024Article
- Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.International journal of molecular sciences · 2024Article
- Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.bioRxiv : the preprint server for biology · 2024Article
- Beyond nothingness in the formation and functional relevance of voids in polymer films.Nature communications · 2024Article
- DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography.bioRxiv : the preprint server for biology · 2024Article
- Symmetry-breaking in patch formation on triangular gold nanoparticles by asymmetric polymer grafting.Nature communications · 2022Article
- Open-channel metal particle superlattices.Nature · 2022Article
- Isotropic reconstruction for electron tomography with deep learning.Nature communications · 2022Article
- Efficient manual annotation of cryogenic electron tomograms using IMOD.STAR protocols · 2022Article
- Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Better, Faster, Cheaper: Recent Advances in Cryo-Electron Microscopy.Annual review of biochemistry · 2022Review
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5 authors.
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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.
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