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. 2018 Dec;204(3):457-463.
doi: 10.1016/j.jsb.2018.10.001. Epub 2018 Oct 5.

Using Scipion for stream image processing at Cryo-EM facilities

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Using Scipion for stream image processing at Cryo-EM facilities

J Gómez-Blanco et al. J Struct Biol. 2018 Dec.

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.

Keywords: Electron microscopy; High throughput; Image processing; Live processing; Scipion; Streaming.

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Figures

Fig. 1
Fig. 1
Graphical representation of the data flow through the CNB facility. Green, blue and red lines represent the microscope private network, the CNB local area network and the public (WAN) networks respectively.
Fig. 2
Fig. 2
Overview of the Session Wizard developed at SciLifeLab. (A) The user triggers the wizard for any of the current microscopes. (B) The wizard retrieves project information from the Application Portal and reservation details from the Booking System. (C) The wizard creates data folders, executes the image copying script, configures the Scipion streaming project and logs the current session into a database. (D) The Scipion project is used to generate on the fly web reports and invoice documents later on.

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