• DocumentCode
    2182953
  • Title

    Image content-based retrieval and automated interpretation of fluorescence microscope images via the protein subcellular location image database

  • Author

    Huang, Kai ; Lin, Jennifer ; Gajnak, James A. ; Murphy, Robert F.

  • Author_Institution
    Dept. of Biol. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    We describe the Protein Subcellular Location Image Database (PSLID), which collects and structures 2-D through 5-D fluorescence microscope images, annotations, and derived features in a relational schema. It is designed so that interpretations as well as annotations can be queried. The annotations in PSLID, composed of 28 linked tables with publicly available descriptions, provide a thorough description of sample preparation and fluorescence microscope imaging. Image interpretation is achieved using Subcellular Location Features that have been shown to be capable of recognizing all major subcellular structures and of resolving patterns that cannot be distinguished by eye. Results of queries can be ranked by image typicality and statistical tests can be performed on sets of images (e.g., to determine whether a drug alters the distribution of a tagged protein). We anticipate that PSLID will serve as a common repository for microscopy images documenting the subcellular location of proteins.
  • Keywords
    biological techniques; biology computing; cellular biophysics; fluorescence; optical microscopy; proteins; visual databases; biophysical research technique; cell biology; common repository; drug effects; fluorescent probe chemistry; image annotations; image interpretations; image sets; image typicality; major subcellular structures; microscopy images; molecular biology; proteins subcellular location; sample preparation; statistical tests; subcellular location features; tagged protein distribution; Content based retrieval; Fluorescence; Image databases; Image recognition; Image resolution; Image retrieval; Information retrieval; Microscopy; Pattern recognition; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7584-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2002.1029259
  • Filename
    1029259