Maximum likelihood refinement of electron microscopy data with normalization errors.

@article{Scheres2009MaximumLR,
  title={Maximum likelihood refinement of electron microscopy data with normalization errors.},
  author={Sjors H W Scheres and Mikel Valle and Patricia Grob and Eva Nogales and Jos{\'e} Mar{\'i}a Carazo},
  journal={Journal of structural biology},
  year={2009},
  volume={166 2},
  pages={234-40}
}
Commonly employed data models for maximum likelihood refinement of electron microscopy images behave poorly in the presence of normalization errors. Small variations in background mean or signal brightness are relatively common in cryo-electron microscopy data, and varying signal-to-noise ratios or artifacts in the images interfere with standard normalization procedures. In this paper, a statistical data model that accounts for normalization errors is presented, and a corresponding algorithm… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

Similar Papers

Loading similar papers…