• DocumentCode
    1819370
  • Title

    Image acquisition and understanding in high-throughput high-resolution cell-based screening applications

  • Author

    Liron, Yuvalal ; Paran, Yael ; Lavelin, Irina ; Naffar-Abu-Amara, Suha ; Winograd-Katz, Sabina ; Geiger, Benjamin ; Kam, Zvi

  • Author_Institution
    Mol. Cell Biol., Weizmann Inst. of Sci., Rehovot
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    Quantitative interpretation of microscope images is more challenging the higher the resolution of the images is. The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. This system was successfully employed for screening of the effect of drugs, gene over-expression and siRNA of diverse cellular properties, including cell adhesion, migration, survival and cytoskeletal organization.
  • Keywords
    biomedical optical imaging; cellular biophysics; image segmentation; information retrieval; medical expert systems; medical image processing; molecular biophysics; cell adhesion; cell migration; cell survival; cell-based screening application; cell-perturbation response; cytoskeletal fibers; cytoskeletal organization; database retrieval; database storage; drug discovery; drug effect; fast screening microscopy; gene over-expression; image acquisition; image segmentation; microscope image; molecular mechanism; multicolor fluorescence intensity; siRNA; subcellular organelles; subcellular structures; Cells (biology); Drugs; Image analysis; Image color analysis; Image resolution; Image storage; Microscopy; Pipelines; Throughput; Writing; Biological Cells; Fluorescence Microscopy; Image Processing pipeline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541000
  • Filename
    4541000