ArticleJournal of structural biology2011
Clustering and variance maps for cryo-electron tomography using wedge-masked differences.
Article in Journal of structural biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.
What it found
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Who cites it
150 citing papers in PubMed.
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- Adaptations in Plasmodium tubulin determine distinct microtubule architectures, mechanics and drug susceptibility.Nature communications · 2026Article
- Resolving structural heterogeneity in situ through cryogenic electron tomography.Current opinion in structural biology · 2026Review
- Capsid flexibility during Ty1 virus-like particle assembly.bioRxiv : the preprint server for biology · 2025Article
- The asymmetric opening of HIV-1 Env by a potent CD4 mimetic enables anti-coreceptor binding site antibodies to mediate ADCC.Nature communications · 2025Article
- Integrative Structure and Function of thebioRxiv : the preprint server for biology · 2025Article
- Characterisation of the manchette architecture and its role as transport scaffold using cryo-electron tomography.Life science alliance · 2025Article
- Mouse radial spoke 3 is a metabolic and regulatory hub in cilia.Nature structural & molecular biology · 2025Article
- Nanoscale analysis of human G1 and metaphase chromatin in situ.The EMBO journal · 2025Article
- Comparison of cable bacteria genera reveals details of their conduction machinery.EMBO reports · 2025Article
- Article
- Cryo-electron tomography of eel sperm flagella reveals a molecular "minimum system" for motile cilia.Molecular biology of the cell · 2025Article
- Tubulin tyrosination/detyrosination regulate the affinity and sorting of intraflagellar transport trains on axonemal microtubule doublets.Nature communications · 2025Article
- Memory engram synapse 3D molecular architecture visualized by cryoCLEM-guided cryoET.bioRxiv : the preprint server for biology · 2025Article
- DeepSSETracer 2.0: Improved Deep Learning Model Performance for Protein Secondary Structure Segmentation from Cryo-EM Maps.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025Article
- Capturing intermediates and membrane remodeling in class III viral fusion.Science advances · 2024Article
- Structures of Epstein-Barr virus and Kaposi's sarcoma-associated herpesvirus virions reveal species-specific tegument and envelope features.Journal of virology · 2024Article
- An image processing pipeline for electron cryo-tomography in RELION-5.FEBS open bio · 2024Article
- Protofilament-specific nanopatterns of tubulin post-translational modifications regulate the mechanics of ciliary beating.Current biology : CB · 2024Article
90 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cryo-electron tomography provides 3D imaging of frozen hydrated biological samples with nanometer resolution. Reconstructed volumes suffer from low signal-to-noise-ratio (SNR)(1) and artifacts caused by systematically missing tomographic data. Both problems can be overcome by combining multiple subvolumes with varying orientations, assuming they contain identical structures. Clustering (unsupervised classification) is required to ensure or verify population homogeneity, but this process is complicated by the problems of poor SNR and missing data, the factors that led to consideration of multiple subvolumes in the first place. Here, we describe a new approach to clustering and variance mapping in the face of these difficulties. The combined subvolume is taken as an estimate of the true subvolume, and the effect of missing data is computed for individual subvolumes. Clustering and variance mapping then proceed based on differences between expected and observed subvolumes. We show that this new method is faster and more accurate than two current, widely used techniques.
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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.