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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, Nuclear Medicine 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