title: An approach to automated particle picking from electron micrographs based on reduced representation templates.
abstract: Reduced representation templates are used in a real-space pattern matching framework to facilitate automatic particle picking from electron micrographs. The procedure consists of five parts. First, reduced templates are constructed either from models or directly from the data. Second, a real-space pattern matching algorithm is applied using the reduced representations as templates. Third, peaks are selected from the resulting score map using peak-shape characteristics. Fourth, the surviving peaks are tested for distance constraints. Fifth, a correlation-based outlier screening is applied. Test applications to a data set of keyhole limpet hemocyanin particles indicate that the method is robust and reliable.
authors.affiliation: The Burnham Institute, La Jolla, CA 92037, USA. niels@burnham.org
authors.forename: Niels
authors.initials: N
authors.lastname: Volkmann
mesh_terms: D000465:Algorithms; D000818:Animals; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing / Q000379:methods; D005583:Fourier Analysis; D006433:Hemocyanins / Q000737:chemistry / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008854:Microscopy, Electron / Q000379:methods*; D008974:Mollusca; D010316:Particle Size; D010363:Pattern Recognition, Automated
chemical_list: D006433:Hemocyanins; C032808:keyhole-limpet hemocyanin