English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/172712
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Using Scipion for stream image processing at Cryo-EM facilities

AuthorsGómez-Blanco, J.; Rosa-Trevín, J.M. de la; Marabini, Roberto; Cano, L. del; Jiménez, A.; Martínez, M.; Melero, Roberto ; Majtner, T.; Maluenda, D.; Mota, J.; Rancel, Y.; Ramírez-Aportela, E.; Vilas, J.L.; Carroni, M.; Fleischmann, S.; Lindahl, E.; Ashton, A.W.; Basham, M.; Clare, D.K.; Savage, K.; Siebert, C.A.; Sharov, G.G.; Sorzano, Carlos Óscar S.; Conesa Mingo, Pablo; Carazo, José M.
KeywordsElectron microscopy
Streaming
Image processing
Live processing
High throughput
Scipion
Issue DateOct-2018
PublisherElsevier
AbstractThree 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-Trevín 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.
Publisher version (URL)http://dx.doi.org/10.1016/j.jsb.2018.10.001
URIhttp://hdl.handle.net/10261/172712
DOI10.1016/j.jsb.2018.10.001.
ISSN1047-8477
E-ISSN1095-8657
Appears in Collections:(CNB) Artículos
Files in This Item:
File Description SizeFormat 
JSB - 2018.pdfArtículo principal1,16 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.