• DocumentCode
    529214
  • Title

    Detecting and tracking multiple fluorescence spot in noisy DXT image sequence

  • Author

    Sakakura, Reo ; Aoki, Yoshimitsu ; Shimizu, Keishi ; Oiki, Shigetoshi

  • Author_Institution
    Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    96
  • Lastpage
    98
  • Abstract
    Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied propose method to real DXT image data acquired for potassium ion channel structural changing analysis for evaluation. The result of experiments show that the method has high accuracy and be able to replace manual analysis.
  • Keywords
    X-ray detection; biology computing; fluorescence; image denoising; image matching; image sequences; molecular biophysics; tracking; DXT image data; automatic analysis method; diffracted X-ray tracking method; experimental data; frame-by-frame matching; molecular structural change; multiple fluorescence spot detection; multiple fluorescence spot tracking; noisy DXT image sequence; potassium ion channel structural changing analysis; quantitative analysis; Accuracy; Estimation; Image sequences; Kernel; Noise; Pixel; Visualization; background etimation; fluorescence image sequence; kernel density estimation; multiple object tracking; occurrence probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602418