Automated single-particle picking in electron cryo-microscopy data has seen important advances in the past couple of years and now enables computer-assisted particle selection even for challenging datasets. These advances have implications for streamlined and automated image processing, with potential benefits for improving the resolution of resulting structures.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 1 digital issues and online access to articles
$99.00 per year
only $99.00 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Commun. Biol. 2, 218 (2019).
Tegunov, D. & Cramer, P. Real-time cryo-electron microscopy data preprocessing with Warp. Nat. Methods 16, 1146–1152 (2019).
Bepler, T. et al. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nat. Methods 16, 1153–1160 (2019).
Stabrin, M. et al. TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM. Nat. Commun. 11, 5716 (2020).
Schenk, A. D., Cavadini, S., Thomä, N. H. & Genoud, C. Live analysis and reconstruction of single-particle cryo-electron microscopy data with CryoFLARE. J. Chem. Inf. Model. 60, 2561–2569 (2020).
Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).
Kimanius, D., Dong, L., Sharov, G., Nakane, T. & Scheres, S. H. W. New tools for automated cryo-EM single-particle analysis in RELION-4.0. Biochem. J. 478, 4169–4185 (2021).
Moebel, E. et al. Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms. Nat. Methods 18, 1386–1394 (2021).
Wang, Z. et al. The molecular basis for sarcomere organization in vertebrate skeletal muscle. Cell 184, 2135–2150 (2021).
Wang, Z. et al. Structures from intact myofibrils reveal mechanism of thin filament regulation through nebulin. Science https://doi.org/10.1126/science.abn1934 (2022).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Wagner, T., Raunser, S. Recent developments in automated single-particle selection. Nat Rev Methods Primers 2, 16 (2022). https://doi.org/10.1038/s43586-022-00105-x
Published:
DOI: https://doi.org/10.1038/s43586-022-00105-x
This article is cited by
-
Short articles for big impact
Nature Reviews Methods Primers (2022)
