Detecting and tracking multiple fluorescence spot in noisy DXT image sequence

Reo Sakakura, Yoshimitsu Aoki, Keishi Shimizu, Shigetoshi Oiki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish
    Title of host publicationProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
    PublisherSociety of Instrument and Control Engineers (SICE)
    Pages96-98
    Number of pages3
    ISBN (Print)9784907764364
    Publication statusPublished - 2010 Jan 1

    Publication series

    NameProceedings of the SICE Annual Conference

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    Keywords

    • Background etimation
    • Component
    • Fluorescence image sequence
    • Kernel density estimation
    • Multiple object tracking
    • Occurrence probability

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science Applications
    • Electrical and Electronic Engineering

    Cite this

    Sakakura, R., Aoki, Y., Shimizu, K., & Oiki, S. (2010). Detecting and tracking multiple fluorescence spot in noisy DXT image sequence. In Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers (pp. 96-98). [5602418] (Proceedings of the SICE Annual Conference). Society of Instrument and Control Engineers (SICE).