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

TL;DR

This paper introduces an automatic method for analyzing molecular dynamics in complex biological systems using fluorescence image correlation, addressing heterogeneity in spatial and temporal behaviors.

Contribution

It proposes a novel system for automatic discrimination and identification of uniform regions for molecular dynamics analysis using STICS at various time lags.

Findings

Effective discrimination of different molecular behaviors.

Successful application on simulated and real microscopy images.

Improved analysis of heterogeneous biological systems.

Abstract

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.