• DocumentCode
    2568495
  • Title

    Analysis of viral surfing based on fluorescence microscopy imaging and automatic tracking

  • Author

    Tsimashchuk, Vasil ; Godinez, William J. ; Lehmann, Maik ; Rohr, Karl

  • Author_Institution
    Dept. Bioinf. & Functional Genomics, Univ. of Heidelberg, Heidelberg, Germany
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    Ordered movement of virus particles along cell filopodia before cell entry known as viral surfing is an important pathway for cell infection. To quantitatively analyze the process of viral surfing, tracking of viruses over time in fluorescent time-lapse microscopy images is required. We have developed an automatic approach for tracking single surfing virus particles. The approach combines probabilistic tracking of virus particles with a novel approach for segmentation of cell filopodia which is used to discriminate surfing virus particles. The approach was successfully applied to synthetic images as well as live cell microscopy images.
  • Keywords
    cellular biophysics; fluorescence; image segmentation; image sequences; microorganisms; object tracking; optical images; optical microscopy; optical tracking; automatic tracking; cell entry; cell filopodia segmentation; cell infection; fluorescence microscopy imaging; fluorescent timelapse microscopy; live cell microscopy images; probabilistic tracking; synthetic images; viral surfing analysis; virus particle ordered movement; Biomedical imaging; Computed tomography; Image segmentation; Image sequences; Microscopy; Tracking; Trajectory; Microscopy image sequences; segmentation of cell filopodia; tracking virus particles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235563
  • Filename
    6235563