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