2010
DOI: 10.1016/j.jsb.2009.11.003
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Detecting consistent common lines in cryo-EM by voting

Abstract: The single-particle reconstruction problem of electron cryo-microscopy (cryo-EM) is to find the three-dimensional structure of a macromolecule given its two-dimensional noisy projection images at unknown random directions. Ab initio estimates of the 3D structure are often obtained by the "Angular Reconstitution" method, in which a coordinate system is established from three projections, and the orientation of the particle giving rise to each image is deduced from common lines among the images. However, a relia… Show more

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Cited by 67 publications
(82 citation statements)
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“…Particles were picked, contrast transfer function correction was performed per Sander et al (34), and further image processing was done in Imagic (35). A starting model was generated by using angular reconstitution facilitated by a voting algorithm (36). Two distinct conformations were detected in the dataset and it was split based on cross correlations.…”
mentioning
confidence: 99%
“…Particles were picked, contrast transfer function correction was performed per Sander et al (34), and further image processing was done in Imagic (35). A starting model was generated by using angular reconstitution facilitated by a voting algorithm (36). Two distinct conformations were detected in the dataset and it was split based on cross correlations.…”
mentioning
confidence: 99%
“…In other words, a necessary and sufficient condition for common lines data to be valid for N = 3 is that it satisfies the spherical triangle inequality, a fact already observed both by the cryo-EM ( [7], pp. 198-199) and mathematics ( [8], Equations 11 and 12) communities.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, the coordinates on the Grassmannian Gr(3, 2N) are the common line coordinates, together with these 'bad' minors Equation 8. If we consider the projection where we discard the 'bad' minors, we obtain the rational map…”
Section: Plücker Coordinates For Common Linesmentioning
confidence: 99%
“…More fundamentally, it has proved difficult to assign physical meaning to the outcome of graph-theoretic analyses [9], in the sense that the meaning of the dimensions in which the data manifold is embedded is unknown. Strategies to overcome this problem have included exploring the graph-theoretic consequences of specific changes in model systems [10], making restrictive assumptions about the nature of the data, and/or extracting specific information from the data first and subjecting this information to graph-theoretic analysis [9,11].…”
Section: Previous Workmentioning
confidence: 99%
“…However, it has proved difficult to assign physical meaning to the results [9,10]. Using the arsenal of tools developed in differential geometry, general relativity, and quantum mechanics, we elucidate the physical meaning of the outcome of graph-theoretic analysis of scattering data, without the need for restrictive a priori assumptions [11]. Finally, perception can be formulated as learning some functions on the observation manifold.…”
Section: Introductionmentioning
confidence: 99%