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Research article2012Peer reviewed

Segmentation of Virus Particle Candidates in Transmission Electron Microscopy Images

Kylberg, G.; Uppström, M.; Hedlund; K.O.; Borgefors; G.; Sintorn, I.M.

Abstract

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

Published in

Journal of Microscopy
2012, volume: 245, number: 2, pages: 140-147
Publisher: Blackwell Publishing

SLU Authors

  • Sintorn, Ida-Maria

    • Centre for Image Analysis, Swedish University of Agricultural Sciences

  • Borgefors, Gunilla

    • Centre for Image Analysis, Swedish University of Agricultural Sciences

UKÄ Subject classification

Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Radiology and Medical Imaging

Publication identifier

  • DOI: https://doi.org/10.1111/j.1365-2818.2011.03556.x

Permanent link to this page (URI)

https://res.slu.se/id/publ/35992