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Using Scipion for stream image processing at Cryo-EM facilities
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
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Number of Authors: 252018 (English)In: Journal of Structural Biology, ISSN 1047-8477, E-ISSN 1095-8657, Vol. 204, no 3, p. 457-463Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2018. Vol. 204, no 3, p. 457-463
Keywords [en]
Electron microscopy, Streaming Image processing, Live processing, High throughput, Scipion
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-165809DOI: 10.1016/j.jsb.2018.10.001ISI: 000454373000010PubMedID: 30296492OAI: oai:DiVA.org:su-165809DiVA, id: diva2:1287519
Available from: 2019-02-11 Created: 2019-02-11 Last updated: 2019-02-11Bibliographically approved

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de la Rosa-Trevín, José MiguelMajtner, T.Carroni, MartaFleischmann, StefanLindahl, ErikSharov, G. G.
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Department of Biochemistry and BiophysicsScience for Life Laboratory (SciLifeLab)
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