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Using Scipion for stream image processing at Cryo-EM facilities
McGill Univ, Dept Anat & Cell Biol, Montreal, PQ, Canada..
Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
Univ Autonoma Madrid, Escuela Politecn Super, E-28049 Madrid, Spain..
CSIC, Natl Ctr Biotechnol, Biocomp Unit, C Darwin 3,Campus Univ Autonoma, Madrid 28049, Spain..
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2018 (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
ACADEMIC PRESS INC ELSEVIER SCIENCE , 2018. Vol. 204, no 3, p. 457-463
Keywords [en]
Electron microscopy, Streaming Image processing, Live processing, High throughput, Scipion
National Category
Structural Biology
Identifiers
URN: urn:nbn:se:kth:diva-241207DOI: 10.1016/j.jsb.2018.10.001ISI: 000454373000010PubMedID: 30296492Scopus ID: 2-s2.0-85054751453OAI: oai:DiVA.org:kth-241207DiVA, id: diva2:1280402
Note

QC 20190118

Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-01-18Bibliographically approved

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Lindahl, Erik

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CiteExportLink to record
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