ArticleNature communications2022
Isotropic reconstruction for electron tomography with deep learning.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
231 citing papers in PubMed, 354 citations in OpenAlex.
- High-resolution nuclear cell biology by cryo-electron tomography.Nucleus (Austin, Tex.) · 2026Review
- Structural basis of lenacapavir-induced HIV-1 capsid defects during virion maturation.Nature communications · 2026Article
- MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography.Nature methods · 2026Article
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- Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography.Nature methods · 2026Article
- Addendum: In situ architecture of the human prohibitin complex.Nature cell biology · 2026Article
- The calcium-binding protein CSE links CaThe EMBO journal · 2026Article
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- Dual apical methyltransferases orchestrate motility initiation in apicomplexan parasites.Nature communications · 2026Article
- Beyond structure: spectroscopic imaging in cryogenic electron microscopy.Current opinion in structural biology · 2026Review
- FlyTomo: a streamlined software for on-the-fly cryo-ET data processing and diagnosis.Nature communications · 2026Article
- Atomic clarity: how structural biology is shaping blood-stage malaria vaccines.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026Review
- RBMP2 shapes specialized membranes for CObioRxiv : the preprint server for biology · 2026Article
- A general data-driven framework for scalable electron tomography.National science review · 2026Article
- Structural mechanisms of drebrin-mediated F-actin network modulation.Nature communications · 2026Article
- Genetic and pharmacological inactivation of peptidoglycan remodeling increases antibiotic susceptibility of vancomycin-resistant Enterococcus faecium.Nature communications · 2026Article
- Vesicle3D: An Integrative Platform for 3D Segmentation and Analysis of Vesicles in Cryo-electron Tomograms.Neuroscience bulletin · 2026Article
- Apical localization of RNA polymerases modulates transcription dynamics and supercoiling domains revealed by cryo-ET.Molecular cell · 2026Article
- Article
171 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Cryogenic electron tomography (cryoET) allows visualization of cellular structures in situ. However, anisotropic resolution arising from the intrinsic "missing-wedge" problem has presented major challenges in visualization and interpretation of tomograms. Here, we have developed IsoNet, a deep learning-based software package that iteratively reconstructs the missing-wedge information and increases signal-to-noise ratio, using the knowledge learned from raw tomograms. Without the need for sub-tomogram averaging, IsoNet generates tomograms with significantly reduced resolution anisotropy. Applications of IsoNet to three representative types of cryoET data demonstrate greatly improved structural interpretability: resolving lattice defects in immature HIV particles, establishing architecture of the paraflagellar rod in Eukaryotic flagella, and identifying heptagon-containing clathrin cages inside a neuronal synapse of cultured cells. Therefore, by overcoming two fundamental limitations of cryoET, IsoNet enables functional interpretation of cellular tomograms without sub-tomogram averaging. Its application to high-resolution cellular tomograms should also help identify differently oriented complexes of the same kind for sub-tomogram averaging.
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Registered trials
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.