• DocumentCode
    3511292
  • Title

    Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms

  • Author

    Rittscher, J. ; Padfield, D. ; Santamaria, A. ; Tu, J. ; Can, A. ; Bello, M. ; Gao, D. ; Sood, A. ; Gerdes, M. ; Ginty, F.

  • Author_Institution
    GE Global Res., Niskayuna, NY, USA
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    1712
  • Lastpage
    1716
  • Abstract
    While high-content screening is already playing an important role in drug discovery, a growing number of academic laboratories are applying these techniques to conduct a system-level analysis of biological processes. In this context more complex assays and model systems are being imaged at higher throughput. Examples include co-culture assays, tissues, and entire model systems, as for example zebrafish. This summary presents examples of methods and algorithms that have been developed at GE Global Research that facilitate the quantitative analysis of such complex specimens.
  • Keywords
    biological specimen preparation; biological tissues; biology computing; cellular biophysics; feature extraction; fluorescence; image segmentation; optical microscopy; zoology; cell culture assays; cell tracking; complex assays; feature extraction; fluorescence microscopy; image segmentation; tissues; zebrafish; Algorithm design and analysis; Biomedical imaging; Image analysis; Image segmentation; Microscopy; Proteins; High-content screening; cell tracking; fluorescence microscopy; segmentation; tissue quality; zebrafish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872734
  • Filename
    5872734