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Flexible workflows for on‐the‐fly electron‐microscopy single‐particle image processing using Scipion
Author(s) -
Maluenda D.,
Majtner T.,
Horvath P.,
Vilas J. L.,
Jiménez-Moreno A.,
Mota J.,
Ramírez-Aportela E.,
Sánchez-García R.,
Conesa P.,
del Caño L.,
Rancel Y.,
Fonseca Y.,
Martínez M.,
Sharov G.,
García C.A.,
Strelak D.,
Melero R.,
Marabini R.,
Carazo J. M.,
Sorzano C. O. S.
Publication year - 2019
Publication title -
acta crystallographica section d
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.374
H-Index - 138
ISSN - 2059-7983
DOI - 10.1107/s2059798319011860
Subject(s) - workflow , computer science , automation , resolution (logic) , data acquisition , autofocus , image processing , electron microscope , focus (optics) , microscopy , set (abstract data type) , artificial intelligence , computer vision , image (mathematics) , engineering , optics , physics , database , mechanical engineering , operating system , programming language
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 Å resolution β‐galactosidase data set.