Identification of cellular dynamic patterns resulting from repetitive photobleaching using independent component analysis

  • Authors:

  • A. M. C. Van Gemert;C. R. Jost;A. M. A. Van Der Laan;R. W. Dirks;J. H. C. Reiber;H. J. Tanke;B. P. F. Lelieveldt

  • Affiliations:

  • Dept. of Molecular Cell Biology, Leiden University Medical Center, the Netherlands;Dept. of Molecular Cell Biology, Leiden University Medical Center, the Netherlands;Dept. of Molecular Cell Biology, Leiden University Medical Center, the Netherlands;Dept. of Molecular Cell Biology, Leiden University Medical Center, the Netherlands;Division of Image Processing, Leiden University Medical Center, Leiden, the Netherlands;Dept. of Molecular Cell Biology, Leiden University Medical Center, the Netherlands;Division of Image Processing, Leiden University Medical Center, Leiden, the Netherlands and Dept. of Mediamatics, Delft University of Technology, Delft, the Netherlands

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Fluorescence Loss In Photobleaching (FLIP) experiments are used to determine the dynamic properties of fluorescently labeled macromolecules in cells. This paper presents a novel method to facilitate the interpretation of dynamic patterns in FLIP experiments based on Independent Component Analysis. By decomposing the image sequence into a stationary and a dynamic component, and by deriving a bleaching contrast function, we demonstrate that the triplet of component and bleaching images enhances the interpretation of FLIP sequences by outlining the movement of two fluorescent proteins with well defined dynamic characteristics.