ArticleJournal of structural biology2012
High-throughput subtomogram alignment and classification by Fourier space constrained fast volumetric matching.
Article in Journal of structural biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- One-dimensional CsPbBrNature communications · 2026Article
- Strategies for studying discrete heterogeneity in situ using cryo-electron tomography.Current opinion in structural biology · 2025Review
- AITom: AI-guided cryo-electron tomography image analyses toolkit.Journal of structural biology · 2025Article
- DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography.bioRxiv : the preprint server for biology · 2024Article
- Moment-based metrics for molecules computable from cryogenic electron microscopy images.Biological imaging · 2024Article
- High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Computational methods forFrontiers in cellular and infection microbiology · 2023Review
- Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization.Bioinformatics (Oxford, England) · 2022Article
- CryoETGAN: Cryo-Electron Tomography Image SynthesisFrontiers in physiology · 2022Article
- End-to-end robust joint unsupervised image alignment and clustering.Proceedings. IEEE International Conference on Computer Vision · 2021Article
- UNSUPERVISED DOMAIN ALIGNMENT BASED OPEN SET STRUCTURAL RECOGNITION OF MACROMOLECULES CAPTURED BY CRYO-ELECTRON TOMOGRAPHY.Proceedings. International Conference on Image Processing · 2021Article
- Article
- Assessment of scoring functions to rank the quality of 3D subtomogram clusters from cryo-electron tomography.Journal of structural biology · 2021Article
- HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes.Frontiers in molecular biosciences · 2021Article
- Dilated-DenseNet For Macromolecule Classification In Cryo-electron Tomography.Bioinformatics research and applications : ... international symposium, ISBRA ... proceedings. ISBRA (Conference) · 2020Article
- Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.PLoS computational biology · 2020Article
- Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2020Article
- A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection.Quantitative biology (Beijing, China) · 2020Article
- In situ structure determination by subtomogram averaging.Current opinion in structural biology · 2019Review
- Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization.BMC bioinformatics · 2019Article
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Authors and funding
3 authors.
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Abstract
Cryo-electron tomography allows the visualization of macromolecular complexes in their cellular environments in close-to-live conditions. The nominal resolution of subtomograms can be significantly increased when individual subtomograms of the same kind are aligned and averaged. A vital step for such a procedure are algorithms that speedup subtomogram alignment and improve its accuracy to allow reference-free subtomogram classifications. Such methods will facilitate automation of tomography analysis and overall high throughput in the data processing. Building on previous work, here we propose a fast rotational alignment method that uses the Fourier equivalent form of a popular constrained correlation measure that considers missing wedge corrections and density variances in the subtomograms. The fast rotational search is based on 3D volumetric matching, which improves the rotational alignment accuracy in particular for highly distorted subtomograms with low SNR and tilt angle ranges in comparison to fast rotational matching of projected 2D spherical images. We further integrate our fast rotational alignment method in a reference-free iterative subtomogram classification scheme, and propose a local feature enhancement strategy in the classification process. As a proof of principle, we can demonstrate that the automatic method can successfully classify a large number of experimental subtomograms without the need of a reference structure.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.