ArticleIUCrJ2020
A self-supervised workflow for particle picking in cryo-EM.
Article in IUCrJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
The trial behind it
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
18 citing papers in PubMed, 26 citations in OpenAlex.
- Cryo-electron microscopy structure of a zinc uptake ABC transporter.Structure (London, England : 1993) · 2026Article
- prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.Structure (London, England : 1993) · 2026Article
- Cryo-electron microscopy structure of a zinc uptake ABC transporter.bioRxiv : the preprint server for biology · 2025Article
- Cryo-EM structures of PP2A:B55 with p107 and Eya3 define substrate recruitment.Nature structural & molecular biology · 2025Article
- Self-supervised learning for generalizable particle picking in cryo-EM micrographs.Cell reports methods · 2025Article
- Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges.Briefings in bioinformatics · 2024Review
- REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers.Communications biology · 2024Article
- CryoTransformer: a transformer model for picking protein particles from cryo-EM micrographs.Bioinformatics (Oxford, England) · 2024Article
- Cryo-electron microscopy-based drug design.Frontiers in molecular biosciences · 2024Review
- CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs.bioRxiv : the preprint server for biology · 2023Article
- A large expert-curated cryo-EM image dataset for machine learning protein particle picking.Scientific data · 2023Article
- Structural mechanism of intracellular autoregulation of zinc uptake in ZIP transporters.Nature communications · 2023Article
- Structural basis for enzymatic terminal C-H bond functionalization of alkanes.Nature structural & molecular biology · 2023Article
- CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking.bioRxiv : the preprint server for biology · 2023Article
- Chromogranin B (CHGB) is dimorphic and responsible for dominant anion channels delivered to cell surface via regulated secretion.Frontiers in molecular neuroscience · 2023Article
- Cryo-EM structure of transmembrane AAA+ protease FtsH in the ADP state.Communications biology · 2022Article
- Structural basis for SARS-CoV-2 envelope protein recognition of human cell junction protein PALS1.Nature communications · 2021Article
- TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM.Nature communications · 2020Article
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 at 1 institution in 1 country.
Funding
Abstract
High-resolution single-particle cryo-EM data analysis relies on accurate particle picking. To facilitate the particle picking process, a self-supervised workflow has been developed. This includes an iterative strategy, which uses a 2D class average to improve training particles, and a progressively improved convolutional neural network for particle picking. To automate the selection of particles, a threshold is defined (%/Res) using the ratio of percentage class distribution and resolution as a cutoff. This workflow has been tested using six publicly available data sets with different particle sizes and shapes, and can automatically pick particles with minimal user input. The picked particles support high-resolution reconstructions at 3.0 Å or better. This workflow is a step towards automated single-particle cryo-EM data analysis at the stage of particle picking. It may be used in conjunction with commonly used single-particle analysis packages such as
Indexed as
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What OpenQuestion holds
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.