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Using Scipion for stream image processing at Cryo-EM facilities

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 presen...

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Detalles Bibliográficos
Autores principales: Gómez-Blanco, J., de la Rosa-Trevín, J.M., Marabini, R., del Cano, L., Jiménez, A., Martínez, M., Melero, R., 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, C.O.S., Conesa, P., Carazo, J.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303188/
https://www.ncbi.nlm.nih.gov/pubmed/30296492
http://dx.doi.org/10.1016/j.jsb.2018.10.001
Descripción
Sumario: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.