• DocumentCode
    2523696
  • Title

    PROSPECTING FOR LIVE CELL BIOIMAGING PROBES WITH CHEMINFORMATIC ASSISTED IMAGE ARRAY (CAIA)

  • Author

    Posada, Maria M. ; Shedden, Kerby ; Chang, Young-tae ; Li, Qian ; Rosania, Gus R.

  • Author_Institution
    Dept. of Pharm. Sci., Michigan Univ., Ann Arbor, MI
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    1108
  • Lastpage
    1111
  • Abstract
    Cheminformatic assisted image array (CAIA) is a data mining and visualization tool linking chemical structures to microscope images of cells incubated with prospective bioimaging probes. In a CAIA, machine vision can be used to calculate the quantitative contribution of the chemical features of candidate probes to the apparent image features. In turn, image arrays can be constructed and sorted based on the features of molecules or images, so that the contribution of chemical features on visual features of the images can be readily discerned, across a large data set. By enabling visualization of complex multidimensional relationships between chemical structures and visual signals, CAIA can facilitate the search for new classes of fluorescent probes of cell structure and function.
  • Keywords
    biomedical optical imaging; cellular biophysics; computer vision; data mining; feature extraction; medical image processing; probes; cheminformatic; cheminformatic assisted image array; data mining; fluorescent probes; image features; live cell bioimaging probes; machine vision; Chemicals; Data visualization; Extracellular; Fluorescence; Image analysis; Machine vision; Microscopy; Pixel; Probes; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.357050
  • Filename
    4193484