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Segmentation of virus particle candidates in transmission electron microscopy images
Author(s) -
KYLBERG G.,
UPPSTRÖM M.,
HEDLUND K.O.,
BORGEFORS G.,
SINTORN I.M.
Publication year - 2012
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.1365-2818.2011.03556.x
Subject(s) - segmentation , transmission electron microscopy , pixel , electron microscope , transmission (telecommunications) , particle (ecology) , microscopy , artificial intelligence , virus , computer vision , computer science , pattern recognition (psychology) , optics , physics , biological system , biology , virology , telecommunications , ecology
Summary In this paper, we present an automatic segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighbourhoods of all the pixels in the image followed by an object width discrimination and finally, for elongated objects, a border refinement step. It requires only one input parameter, the approximate width of the virus particles searched for. The proposed method is evaluated on a large number of viruses. It successfully segments viruses regardless of shape, from polyhedral to highly pleomorphic.