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Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods. 2021
Carlos Oscar S Sorzano, and
Amaya Jiménez-Moreno, and
David Maluenda, and
Erney Ramírez-Aportela, and
Marta Martínez, and
Ana Cuervo, and
Robert Melero, and
Jose Javier Conesa, and
Ruben Sánchez-García, and
David Strelak, and
Jiri Filipovic, and
Estrella Fernández-Giménez, and
Federico de Isidro-Gómez, and
David Herreros, and
Pablo Conesa, and
Laura Del Caño, and
Yunior Fonseca, and
Jorge Jiménez de la Morena, and
Jose Ramon Macías, and
Patricia Losana, and
Roberto Marabini, and
Jose-Maria Carazo
National Centre for Biotechnology (CSIC), Madrid, Spain. coss@cnb.csic.es.
Cryo-electron microscopy has established as a mature structural biology technique to elucidate the three-dimensional structure of biological macromolecules. The Coulomb potential of the sample is imaged by an electron beam, and fast semi-conductor detectors produce movies of the sample under study. These movies have to be further processed by a whole pipeline of image-processing algorithms that produce the final structure of the macromolecule. In this chapter, we illustrate this whole processing pipeline putting in value the strength of "meta algorithms," which are the combination of several algorithms, each one with different mathematical rationale, in order to distinguish correctly from incorrectly estimated parameters. We show how this strategy leads to superior performance of the whole pipeline as well as more confident assessments about the reconstructed structures. The "meta algorithms" strategy is common to many fields and, in particular, it has provided excellent results in bioinformatics. We illustrate this combination using the workflow engine, Scipion.
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