Flexible workflows for on-the-fly electron-microscopy single-particle image processing using Scipion

• Authors: MALUENDA David; MAJTNER Tomáš; HORVÁTH Péter; VILAS Jose Luis; JIMÉNEZ-MORENO Amaya; MOTA Javier; RAMÍREZ-APORTELA Erney; CONESA Pablo; SANCHEZ-GARCIA Ruben; DEL CANO Laura; RANCEL Yaiza; FONSECA Yunior; MARTÍNEZ Marta; G. SHAROV Grigory; GARCÍA C.A.; STŘELÁK David; MELERO Roberto; MARABINI Roberto; CARAZO J.M.; S. SORZANO Carlos Oscar
• Year of publication: 2019
• Type: Article in Periodical
• Magazine / Source: Acta Crystallographica Section D
• MU Faculty or unit: Institute of Computer Science
• Web: http://dx.doi.org/10.1107/S2059798319011860
• Doi: http://dx.doi.org/10.1107/S2059798319011860
• Keywords: Scipion ; image processing; electron microscopy; single-particle analysis; stream processing; electron-microscopy facilities
• Description: Electron microscopy of macromolecular structures is an approach that is in increasing demand in the field of structural biology. The automation of image acquisition has greatly increased the potential throughput of electron microscopy. Here, the focus is on the possibilities in Scipion to implement flexible and robust image-processing workflows that allow the electron-microscope operator and the user to monitor the quality of image acquisition, assessing very simple acquisition measures or obtaining a first estimate of the initial volume, or the data resolution and heterogeneity, without any need for programming skills. These workflows can implement intelligent automatic decisions and they can warn the user of possible acquisition failures. These concepts are illustrated by analysis of the well known 2.2 A resolution beta-galactosidase data set.

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