• DocumentCode
    917824
  • Title

    A Quantitative Zebrafish Phenotyping Tool for Developmental Biology and Disease Modeling [Life Sciences]

  • Author

    Liu, Tianming

  • Author_Institution
    Center for Bioinformatics, Harvard Med. Sch., Boston, MA
  • Volume
    24
  • Issue
    1
  • fYear
    2007
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    This paper discusses the challenges of automated quantitative phenotyping of zebrafish images. These challenges can be addressed by developing automated image analysis tools and integrating them in user-friendly software packages. As part of this strategic direction, we discussed the ZFIQ (zebrafish image quantitator) image processing pipeline and two examples, which show significant advantages over traditional methods based on manual labeling or visual inspection. By building ZFIQ on top of the public domain OpenCV platform, we aim to encourage the computer vision and signal/image processing communities to contribute their image quantification pipelines to the ZFIQ, and, in turn, expect the zebrafish research community to contribute quantification problems and associated image datasets to the development
  • Keywords
    biological techniques; biology computing; genetic engineering; image processing; Daniorerio; biological developments; biological model; computerized zebrafish image processing pipelines; disease modeling; genetic system; living embryo; pheno-typing; vertebrates; zebrafish image acquisition; zebrafish image quantitator; zebrafish phenotypes; Biological system modeling; Computational biology; Computer vision; Diseases; Image analysis; Image processing; Inspection; Labeling; Pipelines; Software packages;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.273080
  • Filename
    4049921