title: Sphere size distributions from finite thickness sections: a forward approach employing a genetic algorithm.
abstract: We formulate, implement and test a robust method of determining sphere size distributions from finite thickness planar sections. The method uses a forward approach in which populations of proposed distributions are tested against the input data and refined using a genetic algorithm. This method is then applied to a real-world data set concerning endo- and exocytotic vesicles in the apical region of tip growing pollen tubes of Arabidopsis thaliana.
authors.affiliation: Laboratory of Plant Cell Biology, Wageningen University, Arboretumlaan 4, Wageningen, The Netherlands.
authors.forename: S
authors.initials: S
authors.lastname: De Nooijer
authors.forename: T
authors.initials: T
authors.lastname: Ketelaar
authors.forename: B
authors.initials: B
authors.lastname: Mulder
mesh_terms: D000465:Algorithms; D017360:Arabidopsis / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D046529:Microscopy, Electron, Transmission / Q000379:methods*; D053205:Pollen Tube / Q000648:ultrastructure; D022142:Secretory Vesicles / Q000648:ultrastructure; D022161:Transport Vesicles / Q000648:ultrastructure