Journal
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY
Volume 75, Issue -, Pages 782-791Publisher
INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S2059798319010519
Keywords
cryo-EM; merging of data; single-particle processing; RELION
Funding
- European Molecular Biology Organization - European Commission [ALTF66-2015, GA-2013-609409]
- Gates Cambridge
- Cambridge-Rutherford Memorial PhD Scholarship
- European Union (ERC) [725685]
- Medical Research Council [MC_U105184330, MC_U105192715]
- European Research Council [AdG-693087-SPLICE3D]
- MRC [MC_U105184330, MC_U105192715] Funding Source: UKRI
- European Research Council (ERC) [725685] Funding Source: European Research Council (ERC)
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Recent developments have resulted in electron cryo-microscopy (cryo-EM) becoming a useful tool for the structure determination of biological macromolecules. For samples containing inherent flexibility, heterogeneity or preferred orientation, the collection of extensive cryo-EM data using several conditions and microscopes is often required. In such a scenario, merging cryo-EM data sets is advantageous because it allows improved three-dimensional reconstructions to be obtained. Since data sets are not always collected with the same pixel size, merging data can be challenging. Here, two methods to combine cryo-EM data are described. Both involve the calculation of a rescaling factor from independent data sets. The effects of errors in the scaling factor on the results of data merging are also estimated. The methods described here provide a guideline for cryo-EM users who wish to combine data sets from the same type of microscope and detector.
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