title: Quantifying the local resolution of cryo-EM density maps.
abstract: We propose a definition of local resolution for three-dimensional electron cryo-microscopy (cryo-EM) density maps that uses local sinusoidal features. Our algorithm has no free parameters and is applicable to other imaging modalities, including tomography. By evaluating the local resolution of single-particle reconstructions and subtomogram averages for four example data sets, we report variable resolution across a 4- to 40-Å range.
authors.affiliation: Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
authors.forename: Alp
authors.initials: A
authors.lastname: Kucukelbir
authors.affiliation: 1] Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA. [2] Department of Cellular and Molecular Physiology, Yale University, New Haven, Connecticut, USA.
authors.forename: Fred J
authors.initials: FJ
authors.lastname: Sigworth
authors.affiliation: 1] Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA. [2] Department of Diagnostic Radiology, Yale University, New Haven, Connecticut, USA.
authors.forename: Hemant D
authors.initials: HD
authors.lastname: Tagare
mesh_terms: D000465:Algorithms; D000483:Alleles; D020285:Cryoelectron Microscopy / Q000379:methods*; D005583:Fourier Analysis; D021621:Imaging, Three-Dimensional; D016013:Likelihood Functions; D008962:Models, Theoretical; D016011:Normal Distribution; D011506:Proteins / Q000737:chemistry*; D012270:Ribosomes / Q000737:chemistry; D012984:Software; D014780:Viruses / Q000737:chemistry
chemical_list: D011506:Proteins