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Using Scipion for stream image processing at Cryo-EM facilities

Authors :
Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
European Commission
Gómez-Blanco, J.
Rosa-Trevín, J. M. de la
Marabini, Roberto
Caño, Laura del
Jiménez, A.
Martínez, Marta
Melero, Roberto
Majtner, T.
Maluenda, D.
Mota, J.
Rancel, Y.
Ramírez-Aportela, Erney
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.
Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
European Commission
Gómez-Blanco, J.
Rosa-Trevín, J. M. de la
Marabini, Roberto
Caño, Laura del
Jiménez, A.
Martínez, Marta
Melero, Roberto
Majtner, T.
Maluenda, D.
Mota, J.
Rancel, Y.
Ramírez-Aportela, Erney
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.
Publication Year :
2018

Abstract

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-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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286531587
Document Type :
Electronic Resource