• DocumentCode
    2570165
  • Title

    Automating the quantification of membrane proteins under confocal microscopy

  • Author

    Vallotton, Pascal ; Payne, Matthew ; Bednarz, Tomasz ; Domanski, Luke ; James, David ; Hughes, Will ; Sun, Changming

  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    776
  • Lastpage
    779
  • Abstract
    In a prior contribution, we described a semi-automated system that allowed a user to quantify the relative abundance of fluorescently labeled membrane proteins in confocal microscopy images. Here, we describe a step change in assay automation, enabled by explicitly casting the problem in terms of mathematical graphs. This permitted to include extensive and relevant image information in the tracing process; something not possible when using the marginally faster traditional algorithms. These improvements bring us closer to an industrial strength membrane tracing assay suitable in a drug discovery and development environment.
  • Keywords
    biochemistry; biological techniques; biomembranes; cellular transport; molecular biophysics; optical microscopy; proteins; assay automation; casting; confocal microscopy imaging; development environment; drug discovery; fluorescently labeled membrane proteins; industrial strength membrane tracing assay; marginally faster traditional algorithms; mathematical graphs; membrane protein quantification; semiautomated system; tracing processing; Algorithm design and analysis; Biomembranes; Drugs; Fluorescence; Microscopy; Proteins; Sun; Dijkstra; Membrane tracing; circular shortest paths; high content analysis; high content screening; shortest paths;
  • 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.2012.6235663
  • Filename
    6235663