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_31
Snippet: With each dataset the same mask is used for both uniform and non-uniform refinement when computing FSC curves. Masks are tested using phase randomization [3] to ensure they do not cause FSC bias. In addition, the same B-factor is used to sharpen both uniform and non-uniform refinement maps for each dataset. This consistency helps to ensure that the visible differences in 3D structure are due to algorithmic differences and not to differences in th.....
Document: With each dataset the same mask is used for both uniform and non-uniform refinement when computing FSC curves. Masks are tested using phase randomization [3] to ensure they do not cause FSC bias. In addition, the same B-factor is used to sharpen both uniform and non-uniform refinement maps for each dataset. This consistency helps to ensure that the visible differences in 3D structure are due to algorithmic differences and not to differences in the amplification of high spatial frequencies. Where maps are colored by local resolution estimates, a straightforward implementation of Blocres [2] is used for resolution estimation.
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