Cryo-EM and Single-Particle Analysis with Scipion
Author(s) -
Amaya Jiménez-Moreno,
Laura del Caño,
Marta Martínez,
Erney Ramírez-Aportela,
Ana Cuervo,
Roberto Melero,
Rubén Sánchez-García,
David Střelák,
E. Fernández-Giménez,
F.P. de Isidro-Gómez,
David Herreros,
Pablo Conesa,
Yordy E. Licea,
David Maluenda,
J. Jiménez de la Morena,
José R Macías,
Patricia Losana,
R. Marabini,
J.M. Carazo,
Carlos Óscar S. Sorzano
Publication year - 2021
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/62261
Subject(s) - workflow , computer science , image processing , sample (material) , cryo electron microscopy , resolution (logic) , microscope , microscopy , artificial intelligence , image (mathematics) , computer vision , data mining , computer graphics (images) , optics , physics , chemistry , nuclear magnetic resonance , database , chromatography
Cryo-electron microscopy has become one of the most important tools in biological research to reveal the structural information of macromolecules at near-atomic resolution. In single-particle analysis, the vitrified sample is imaged by an electron beam and the detectors at the end of the microscope column produce movies of that sample. These movies contain thousands of images of identical particles in random orientations. The data need to go through an image processing workflow with multiple steps to obtain the final 3D reconstructed volume. The goal of the image processing workflow is to identify the acquisition parameters to be able to reconstruct the specimen under study. Scipion provides all the tools to create this workflow using several image processing packages in an integrative framework, also allowing the traceability of the results. In this article the whole image processing workflow in Scipion is presented and discussed with data coming from a real test case, giving all the details necessary to go from the movies obtained by the microscope to a high resolution final 3D reconstruction. Also, the power of using consensus tools that allow combining methods, and confirming results along every step of the workflow, improving the accuracy of the obtained results, is discussed.
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