217 related articles for article (PubMed ID: 32294468)
1. High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines.
Li Y; Cash JN; Tesmer JJG; Cianfrocco MA
Structure; 2020 Jul; 28(7):858-869.e3. PubMed ID: 32294468
[TBL] [Abstract][Full Text] [Related]
2. Accounting Conformational Dynamics into Structural Modeling Reflected by Cryo-EM with Deep Learning.
Ye Q; Zhao Y; Li X; Zhao Y; Fu X; Zhang S; Yang Z; Zhang L
Comb Chem High Throughput Screen; 2023; 26(3):449-458. PubMed ID: 35570549
[TBL] [Abstract][Full Text] [Related]
3. User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy.
Kumar A; P S; Gulati S; Dutta S
J Vis Exp; 2021 Jul; (173):. PubMed ID: 34398142
[TBL] [Abstract][Full Text] [Related]
4. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.
Wagner T; Merino F; Stabrin M; Moriya T; Antoni C; Apelbaum A; Hagel P; Sitsel O; Raisch T; Prumbaum D; Quentin D; Roderer D; Tacke S; Siebolds B; Schubert E; Shaikh TR; Lill P; Gatsogiannis C; Raunser S
Commun Biol; 2019; 2():218. PubMed ID: 31240256
[TBL] [Abstract][Full Text] [Related]
5. Combining high throughput and high quality for cryo-electron microscopy data collection.
Weis F; Hagen WJH
Acta Crystallogr D Struct Biol; 2020 Aug; 76(Pt 8):724-728. PubMed ID: 32744254
[TBL] [Abstract][Full Text] [Related]
6. Focus: The interface between data collection and data processing in cryo-EM.
Biyani N; Righetto RD; McLeod R; Caujolle-Bert D; Castano-Diez D; Goldie KN; Stahlberg H
J Struct Biol; 2017 May; 198(2):124-133. PubMed ID: 28344036
[TBL] [Abstract][Full Text] [Related]
7. AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images.
Al-Azzawi A; Ouadou A; Tanner JJ; Cheng J
BMC Bioinformatics; 2019 Jun; 20(1):326. PubMed ID: 31195977
[TBL] [Abstract][Full Text] [Related]
8. cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud.
Cianfrocco MA; Lahiri I; DiMaio F; Leschziner AE
J Struct Biol; 2018 Sep; 203(3):230-235. PubMed ID: 29864529
[TBL] [Abstract][Full Text] [Related]
9. 2dx_automator: implementation of a semiautomatic high-throughput high-resolution cryo-electron crystallography pipeline.
Scherer S; Kowal J; Chami M; Dandey V; Arheit M; Ringler P; Stahlberg H
J Struct Biol; 2014 May; 186(2):302-7. PubMed ID: 24680783
[TBL] [Abstract][Full Text] [Related]
10. Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning.
Weber M; Bäuerle A; Schmidt M; Neumann M; Fändrich M; Ropinski T; Schmidt V
J Microsc; 2020 Jan; 277(1):12-22. PubMed ID: 31859366
[TBL] [Abstract][Full Text] [Related]
11. Data-driven determination of number of discrete conformations in single-particle cryo-EM.
Zhou Y; Moscovich A; Bartesaghi A
Comput Methods Programs Biomed; 2022 Jun; 221():106892. PubMed ID: 35597206
[TBL] [Abstract][Full Text] [Related]
12. Automatic post-picking using MAPPOS improves particle image detection from cryo-EM micrographs.
Norousi R; Wickles S; Leidig C; Becker T; Schmid VJ; Beckmann R; Tresch A
J Struct Biol; 2013 May; 182(2):59-66. PubMed ID: 23454482
[TBL] [Abstract][Full Text] [Related]
13. A pipeline approach to single-particle processing in RELION.
Fernandez-Leiro R; Scheres SHW
Acta Crystallogr D Struct Biol; 2017 Jun; 73(Pt 6):496-502. PubMed ID: 28580911
[TBL] [Abstract][Full Text] [Related]
14. Methods for merging data sets in electron cryo-microscopy.
Wilkinson ME; Kumar A; Casañal A
Acta Crystallogr D Struct Biol; 2019 Sep; 75(Pt 9):782-791. PubMed ID: 31478901
[TBL] [Abstract][Full Text] [Related]
15. Volta phase plate data collection facilitates image processing and cryo-EM structure determination.
von Loeffelholz O; Papai G; Danev R; Myasnikov AG; Natchiar SK; Hazemann I; Ménétret JF; Klaholz BP
J Struct Biol; 2018 Jun; 202(3):191-199. PubMed ID: 29337113
[TBL] [Abstract][Full Text] [Related]
16. A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy.
Zhu Y; Ouyang Q; Mao Y
BMC Bioinformatics; 2017 Jul; 18(1):348. PubMed ID: 28732461
[TBL] [Abstract][Full Text] [Related]
17. Cryo-EM image alignment: From pair-wise to joint with deep unsupervised difference learning.
Chen YX; Feng D; Shen HB
J Struct Biol; 2023 Mar; 215(1):107940. PubMed ID: 36709787
[TBL] [Abstract][Full Text] [Related]
18. High-quality, high-throughput cryo-electron microscopy data collection via beam tilt and astigmatism-free beam-image shift.
Wu C; Huang X; Cheng J; Zhu D; Zhang X
J Struct Biol; 2019 Dec; 208(3):107396. PubMed ID: 31562921
[TBL] [Abstract][Full Text] [Related]
19. Cryo-electron Tomography Remote Data Collection and Subtomogram Averaging.
Sheng Y; Morris K; Radecke J; Zhang P
J Vis Exp; 2022 Jul; (185):. PubMed ID: 35913165
[TBL] [Abstract][Full Text] [Related]
20. Real-time cryo-electron microscopy data preprocessing with Warp.
Tegunov D; Cramer P
Nat Methods; 2019 Nov; 16(11):1146-1152. PubMed ID: 31591575
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
