title: In-plane rotation classification for coherent X-ray imaging of single biomolecules.
abstract: We report a new classification scheme with computation complexity well within the capacity of a PC for coherent X-ray imaging of single biomolecules. In contrast to current methods, which are based on data from large scattering angles, we propose to classify the orientations of the biomolecule using data from small angle scattering, where the signals are relatively strong. Further we integrate data to form radial and azimuthal distributions of the scattering pattern to reduce the variance caused by the shot noise. Classification based on these two distributions are shown to successfully recognize not only the patterns from molecules of the same orientation but also those that differ by an in-plane rotation.
authors.affiliation: Center for Biophotonics Science and Technology, Sacramento, California 95817, USA. kqchu@ucdavis.edu
authors.forename: Kaiqin
authors.initials: K
authors.lastname: Chu
authors.forename: James
authors.initials: J
authors.lastname: Evans
authors.forename: Nina
authors.initials: N
authors.lastname: Rohringer
authors.forename: Stefan
authors.initials: S
authors.lastname: Hau-Riege
authors.forename: Alexander
authors.initials: A
authors.lastname: Graf
authors.forename: Matthias
authors.initials: M
authors.lastname: Frank
authors.forename: Zachary J
authors.initials: ZJ
authors.lastname: Smith
authors.forename: Stephen
authors.initials: S
authors.lastname: Lane
mesh_terms: D003198:Computer Simulation; D004258:DNA Polymerase III / Q000737:chemistry*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D017785:Photons; D012399:Rotation; D012542:Scattering, Radiation; D014965:X-Rays
chemical_list: D004258:DNA Polymerase III