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Fluorescence spectroscopy is an image correlation technique to analyze andcharacterize the molecular dynamics from a sequence of fluorescence images.Many image correlation techniques have been developed for differentapplications [1]. But in practice the use of these techniques is often limitedto a manually selected region of analysis where it is assumed that the observedmolecules have homogeneous and constant behavior over time. Due to the spatialand temporal complexity of biological objects, this assumption is frequently atfault. It is then necessary to propose a robust method for discriminating thedifferent behaviors over time from experience, as well as identification of thetype of dynamics (diffusion or flow). This paper presents an original system ofautomatic discrimination and identification of spatially and temporally uniformregions for the analysis of molecular different dynamics over time bycalculating STICS (Spatio-Temporal Image Correlation Spectroscopy) at differenttime lags. An evaluation of system performance is presented on simulated imagesand images acquired by fluorescence microscopy on actin cytoskeleton.

Developpement des methodes de correlation d images pour l analyse de la  mobilite moleculaire dans un systeme biologique complexe spatialement et  temporellement