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Sphere size distributions from finite thickness sections: a forward approach employing a genetic algorithm
Author(s) -
DE NOOIJER S.,
KETELAAR T.,
MULDER B.
Publication year - 2008
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.2008.02032.x
Subject(s) - algorithm , planar , set (abstract data type) , genetic algorithm , finite set , data set , computer science , biological system , mathematics , mathematical optimization , mathematical analysis , biology , artificial intelligence , computer graphics (images) , programming language
Summary 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 .