Using Scipion for stream image processing at Cryo-EM facilities

被引：21

作者：

Gomez-Blanco, J. ^{[1
]}

de la Rosa-Trevin, J. M. ^{[3
]}

Marabini, R. ^{[4
]}

del Cano, L. ^{[2
]}

Jimenez, A. ^{[2
]}

Martinez, M. ^{[2
]}

Melero, R. ^{[2
]}

Majtner, T. ^{[2
]}

Maluenda, D. ^{[2
]}

Mota, J. ^{[2
]}

Rancel, Y. ^{[2
]}

Ramirez-Aportela, E. ^{[2
]}

Vilas, J. L. ^{[2
]}

Carroni, M. ^{[3
]}

Fleischmann, S. ^{[3
]}

Lindahl, E. ^{[3
,5
]}

Ashton, A. W. ^{[6
]}

Basham, M. ^{[6
]}

Clare, D. K. ^{[6
]}

Savage, K. ^{[6
]}

Siebert, C. A. ^{[6
]}

Sharov, G. G. ^{[7
]}

Sorzano, C. O. S. ^{[2
]}

Conesa, P. ^{[2
]}

Carazo, J. M. ^{[2
]}

机构：

[1] McGill Univ, Dept Anat & Cell Biol, Montreal, PQ, Canada

[2] CSIC, Natl Ctr Biotechnol, Biocomp Unit, C Darwin 3,Campus Univ Autonoma, Madrid 28049, Spain

[3] Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden

[4] Univ Autonoma Madrid, Escuela Politecn Super, E-28049 Madrid, Spain

[5] KTH Royal Inst Technol, Swedish E Sci Res Ctr, Stockholm, Sweden

[6] Harwell Sci & Innovat Campus, Diamond Light Source, Didcot OX11 0DE, Oxon, England

[7] MRC, Lab Mol Biol, Francis Crick Ave, Cambridge CB2 OQH, England

来源：

JOURNAL OF STRUCTURAL BIOLOGY | 2018年 / 204卷 / 03期

基金：

欧盟地平线“2020”; 英国生物技术与生命科学研究理事会; 英国惠康基金;

关键词：

Electron microscopy; Streaming Image processing; Live processing; High throughput; Scipion; DATA-COLLECTION; ELECTRON; ACQUISITION; ROBUST; TOMOGRAPHY; INTERFACE; ALIGNMENT; DEFOCUS;

D O I：

10.1016/j.jsb.2018.10.001

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Three dimensional electron microscopy is becoming a very data-intensive field in which vast amounts of experimental images are acquired at high speed. To manage such large-scale projects, we had previously developed a modular workflow system called Scipion (de la Rosa-Trevfn et al., 2016). We present here a major extension of Scipion that allows processing of EM images while the data is being acquired. This approach helps to detect problems at early stages, saves computing time and provides users with a detailed evaluation of the data quality before the acquisition is finished. At present, Scipion has been deployed and is in production mode in seven Cryo-EM facilities throughout the world.

引用

页码：457 / 463

页数：7

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