Flexible workflows for on-the-fly electronmicroscopy single-particle image processing using Scipion
Author
Maluenda, D.; Majtner, T.; Horvath, P.; Vilas, J.L.; Jiménez-Moreno, A.; Mota, J.; Ramírez-Aportela, E.; Sánchez-García, R.; Conesa, P.; Caño, L. del; Rancel, Y.; Fonseca, Y.; Martínez, M.; Sharov, G.; García, C.A.; Strelak, D.; Melero, R.; Marabini Ruiz, Roberto; Carazo, J.M.; Sorzano, C.O.S.Entity
UAM. Departamento de Ingeniería InformáticaPublisher
International Union of CrystallographyDate
2019Citation
10.1107/S2059798319011860
Acta Cryst. 75.10 (2019): 882-894
ISSN
2059-7983DOI
10.1107/S2059798319011860Funded by
The authors would like to acknowledge financial support from The Spanish Ministry of Economy and Competitiveness through the BIO2016-76400-R (AEI/FEDER, UE) grant, the Comunidad Auto´noma de Madrid through grant S2017/BMD3817, the Instituto de Salud Carlos III (PT17/0009/0010), the European Union (EU) and Horizon 2020 through the CORBEL grant (INFRADEV-1-2014-1, Proposal 654248), the ‘la Caixa’ Foundation (ID 100010434, Fellow LCF/BQ/ IN18/11660021), Elixir–EXCELERATE (INFRADEV-3- 2015, Proposal 676559), iNEXT (INFRAIA-1-2014-2015, Proposal 653706), EOSCpilot (INFRADEV-04-2016, Proposal 739563) and INSTRUCT–ULTRA (INFRADEV03-2016-2017, Proposal 731005)Project
Gobierno de España. BIO2016-76400-R; Comunidad de Madrid. S2017/BMD- 3817/TOMOXLIVER-CM; Gobierno de España. PT17/0009/0010; info:eu-repo/grantAgreement/EC/H2020/654248/EU//CORBEL; info:eu-repo/grantAgreement/EC/H2020/676559/EU//ELIXIR-EXCELERATE; info:eu-repo/grantAgreement/EC/H2020/653706/EU//iNEXT; info:eu-repo/grantAgreement/EC/H2020/739563/EU//EOSCpilot; info:eu-repo/grantAgreement/EC/H2020/731005/EU//INSTRUCT-ULTRAEditor's Version
https://doi.org/10.1107/S2059798319011860Subjects
Scipion; image processing; electron microscopy; single-particle analysis; stream processing; electron-microscopy facilities; Biología y Biomedicina / BiologíaRights
© 2019 The AuthorsAbstract
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
Files in this item
Google Scholar:Maluenda, D.
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Majtner, T.
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Horvath, P.
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Vilas, J.L.
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Jiménez-Moreno, A.
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Mota, J.
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Ramírez-Aportela, E.
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Sánchez-García, R.
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Conesa, P.
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Caño, L. del
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Rancel, Y.
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Fonseca, Y.
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Martínez, M.
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Sharov, G.
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García, C.A.
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Strelak, D.
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Melero, R.
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Marabini Ruiz, Roberto
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Carazo, J.M.
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Sorzano, C.O.S.
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