• DocumentCode
    2720105
  • Title

    Zebrafish Cell/Neuron Quantitation by Modified Circular Hough Transform

  • Author

    Liu, Tianming ; Lu, Jianfeng ; Nie, Jingxin ; Li, Gang ; Yan, Hui ; Yang, Jingyu ; Guo, Lei ; Xia, Weiming ; Wong, Stephen T C

  • Author_Institution
    Center for Bioinformatics, Harvard Med. Sch., Boston, MA
  • fYear
    2006
  • fDate
    38899
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Microscopic imaging has become a critical step in the analysis of zebrafish phenotype, but tremendous amount of images generated from large number of embryos have become a bottleneck of data interpretation. The availability of an image informatics pipeline will be a significant step towards achieving reproducible quantitation of zebrafish phenotypes in scientific research and high-throughput screening. This paper presents an automated algorithm based on modified circular Hough transform for quantitation of zebrafish cells and neurons in microscopy imaging. Experimental results of three datasets are shown to demonstrate the performance of the algorithm. This algorithm has been integrated into our CBI Platform
  • Keywords
    Hough transforms; cellular biophysics; medical image processing; neurophysiology; cell quantitation; image informatics; microscopic imaging; modified circular Hough transform; neuron quantitation; zebrafish; Bioinformatics; Biomedical imaging; Embryo; Image edge detection; Microscopy; Molecular imaging; Neurons; Pixel; Radiology; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Life Science Systems and Applications Workshop, 2006. IEEE/NLM
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    1-4244-0277-8
  • Electronic_ISBN
    1-4244-0278-6
  • Type

    conf

  • DOI
    10.1109/LSSA.2006.250413
  • Filename
    4015814