Selected article for: "low resolution and non uniform refinement"
Author: Ali Punjani; Haowei Zhang; David J. Fleet
Title: Non-uniform refinement: Adaptive regularization improves single particle cryo-EM reconstruction
  • Document date: 2019_12_16
    • ID: bqwmx5dy_24
    Snippet: Given a set of particle images and a low resolution ab initio 3D map, non-uniform refinement comprises three main steps, similar to conventional uniform (homogeneous) refinement (Alg. 1). The data are randomly partitioned into two halves, each of which is used to independently estimate a 3D half-map. This "gold standard" refinement [28] allows use of FSC for evaluating map quality, and for comparison with existing algorithms. The alignment of par.....
    Document: Given a set of particle images and a low resolution ab initio 3D map, non-uniform refinement comprises three main steps, similar to conventional uniform (homogeneous) refinement (Alg. 1). The data are randomly partitioned into two halves, each of which is used to independently estimate a 3D half-map. This "gold standard" refinement [28] allows use of FSC for evaluating map quality, and for comparison with existing algorithms. The alignment of particle images against their respective half-maps, and the reconstruction of the raw 3D density map (the E and M steps in Alg. 1) are also identical to uniform refinement.

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