title: Automated detection and centring of cryocooled protein crystals.
abstract: A novel method is presented for the automated recognition of cryocooled macromolecular crystals. The method uses several texture-based image-processing algorithms for automated crystal centring, which are able to cope with a variety of crystal morphologies and illumination conditions. The results combined from different algorithms, together with their estimated standard uncertainties, provide a robust determination of the crystal location and allow an internal assessment of their reliability. The method was coded within the software XREC and showed a good performance on 104 sets of images from various beamlines.
authors.affiliation: European Molecular Biology Laboratory, c/o DESY, Notkestrasse 85, 22603 Hamburg, Germany.
authors.forename: Sudhir Babu
authors.initials: SB
authors.lastname: Pothineni
authors.forename: Tilo
authors.initials: T
authors.lastname: Strutz
authors.forename: Victor S
authors.initials: VS
authors.lastname: Lamzin
mesh_terms: D000465:Algorithms; D018360:Crystallography, X-Ray / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins