ArticleJournal of synchrotron radiation2019
DeepCentering: fully automated crystal centering using deep learning for macromolecular crystallography.
Article in Journal of synchrotron radiation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- A short history of Auto-Rickshaw.Acta crystallographica. Section D, Structural biology · 2026Review
- Method of precise optical crystal alignment by tilting the diamond anvil cell.Journal of applied crystallography · 2025Article
- Ligand identification in CryoEM and X-ray maps using deep learning.Bioinformatics (Oxford, England) · 2024Article
- Ligand Identification in CryoEM and X-ray Maps Using Deep Learning.bioRxiv : the preprint server for biology · 2024Article
- CHiMP: deep-learning tools trained on protein crystallization micrographs to enable automation of experiments.Acta crystallographica. Section D, Structural biology · 2024Article
- An ancestral fold reveals the evolutionary link between RNA polymerase and ribosomal proteins.Nature communications · 2024Article
- Deep learning applications in protein crystallography.Acta crystallographica. Section A, Foundations and advances · 2024Review
- SDU - software for high-throughput automated data collection at the Swiss Light Source.Journal of synchrotron radiation · 2023Article
- Lewis fucose is a key moiety for the recognition of histo-blood group antigens by GI.9 norovirus, as revealed by structural analysis.FEBS open bio · 2022Article
- Identification of TCR repertoires in functionally competent cytotoxic T cells cross-reactive to SARS-CoV-2.Communications biology · 2021Article
- FragMAXapp: crystallographic fragment-screening data-analysis and project-management system.Acta crystallographica. Section D, Structural biology · 2021Article
- Computer-controlled liquid-nitrogen drizzling device for removing frost from cryopreserved crystals.Acta crystallographica. Section F, Structural biology communications · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
High-throughput protein crystallography using a synchrotron light source is an important method used in drug discovery. Beamline components for automated experiments including automatic sample changers have been utilized to accelerate the measurement of a number of macromolecular crystals. However, unlike cryo-loop centering, crystal centering involving automated crystal detection is a difficult process to automate fully. Here, DeepCentering, a new automated crystal centering system, is presented. DeepCentering works using a convolutional neural network, which is a deep learning operation. This system achieves fully automated accurate crystal centering without using X-ray irradiation of crystals, and can be used for fully automated data collection in high-throughput macromolecular crystallography.
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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.