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• W2027705224 abstract "In CryoEM single particle analysis, images are recorded of individual molecules or macromolecular assemblies in the 10-100 nm size range embedded in vitreous ice. These images approximately represent a projection of the electron density of the specimen. Due to dose limitations, these images are extremely noisy, with spectral signal-to-noise ratios generally peaking at less than 1. To perform a 3D reconstruction from such images, the orientations of all of the thousands of particle images must be accurately determined. The most common strategy for accomplishing this task is iterative projection matching, meaning that the accuracy and resolution of the structure are limited by the similarity metric used to assess the similarity of each particle image vs. a set of projection references. A wide range of metrics has been used for this purpose, such as correlation coefficient, phase residual and Fourier ring correlation, with variants in application of each. Each of these methods represent a tradeoff in sharpening the orientation vs. decreasing the probability of making a noise-based, rather than a data-based decision. We present a thorough comparison of a number of different similarity metrics when applied to particles with varying noise levels and symmetries." @default.
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• W2027705224 date "2010-01-01" @default.
• W2027705224 modified "2023-09-26" @default.
• W2027705224 title "Determining Orientation in Cryoem Single Particle Analysis" @default.
• W2027705224 doi "https://doi.org/10.1016/j.bpj.2009.12.2072" @default.
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