Identification of cellular dynamic patterns resulting from repetitive photobleaching using Independent Component Analysis
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.