2018
DOI: 10.1016/j.str.2017.12.018
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MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps

Abstract: Since the beginning of electron microscopy, resolution has been a critical parameter. In this article, we propose a fully automatic, accurate method for determining the local resolution of a 3D map (MonoRes). The foundation of this algorithm is an extension of the concept of analytic signal, termed monogenic signal. The map is filtered at different frequencies and the amplitude of the monogenic signal is calculated, after which a criterion is applied to determine the resolution at each voxel. MonoRes is fully … Show more

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Cited by 194 publications
(175 citation statements)
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“…The twin problems of the resolution at which a reconstruction remains interpretable, and of variable local "resolution" or SNR, have been heavily investigated within the single particle analysis field. Independent halfset refinement, in which over-fitting is mitigated against during the refinement process (Grigorieff, 2000;Scheres & Chen, 2012;Henderson et al, 2012), local resolution measurement (Cardone et al, 2013, Kucukelbir et al, 2014 and local resolution filtering (Cardone et al, 2013;Vilas et al, 2018a), pursued after the refinement process, have been widely adopted to avoid over-interpretation of reconstructed densities.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The twin problems of the resolution at which a reconstruction remains interpretable, and of variable local "resolution" or SNR, have been heavily investigated within the single particle analysis field. Independent halfset refinement, in which over-fitting is mitigated against during the refinement process (Grigorieff, 2000;Scheres & Chen, 2012;Henderson et al, 2012), local resolution measurement (Cardone et al, 2013, Kucukelbir et al, 2014 and local resolution filtering (Cardone et al, 2013;Vilas et al, 2018a), pursued after the refinement process, have been widely adopted to avoid over-interpretation of reconstructed densities.…”
Section: Discussionmentioning
confidence: 99%
“…where signal becomes indistinguishable from noise (Stewart & Grigorieff, 2004). Several methods for evaluation and treatment of local resolution in cryo-EM reconstruction have previously been proposed (Stewart & Grigorieff, 2004;Cardone et al, 2013;Chen et al, 2013;Kucukelbir et al, 2014;Vilas et al, 2018a;Ramírez-Aportela et al, 2018), however none provide a way to minimise over-fitting during the reconstruction process.…”
Section: Globally Filtered Reconstruction Methods Must Be Expected Tomentioning
confidence: 99%
“…CCV particles were picked using FindEM Template picking (44), resulting in a total of 80k CCV particle images (894-pixel box size). FSC was generated using even and odd masked half maps, and the local resolution for the mini-coat vertex was calculated using monores (45).…”
Section: Tryptic Peptides Separation and Detectionmentioning
confidence: 99%
“…We processed four classes (155,192,315, and 240 particles) using a 50 pixel box size and 15 iterations. The limited number of particles available in cryo-ET experiments did not allow to obtain a high-resolution structure; the resolution estimated using the local resolution algorithm MonoRes (Vilas et al, 2018) is around 3 nm. The method is reference-free; the process was started from a weighted average structure obtained from random orientations of all particles.…”
Section: Subtomogram Averaging and Classificationmentioning
confidence: 99%
“…Due to the large box size, part of the plate associated with decorative nucleosomes is also included in the subtomogram average. The limited number of particles available in cryo-ET experiments did not allow to obtain a high-resolution structure; the resolution estimated using the local resolution algorithm MonoRes (Vilas et al, 2018) is around 3 nm.…”
Section: Subtomogram Averaging and Classificationmentioning
confidence: 99%