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Modélisation et estimation du trafic intracellulaire par tomographie de réseaux et microscopie de fluorescence

Thierry Pecot 1, 2
1 VISTAS - Spatio-Temporal Vision and Learning
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This thesis presents a new method for analyzing and simulating vesicular trafficking in fluorescence video-microscopy. Instead of tracking each individual vesicle, we have developed a global approach (network tomography) that is inspired from previous works on road traffic analysis and network telecom- munication traffic analysis. This approach makes use of local countings of vesicles and a routing proce- dure to recover the global trajectories of vesicles on a whole image sequence. Contrary to the previous applications of network tomography, the local countings and the routing are also unknown in our case. In order to measure local countings of vesicles, we have developed a method for object and background estimation in fluorescence video-microscopy. This method exploits a non local detection term based on the similarity between image patches and considers the estimated background component as a reference to improve the detection. The routing procedure depends on vesicle countings for the traffic analysis, and is controlled by the user for the simulations. The generated synthetic image sequences enabled to evaluate quantitatively the vesicular trafficking estimation method. This method was also tested on real image sequences in the context of a study on the membranar transport and vesicular trafficking regulated by Rab6 isoforms.
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Submitted on : Tuesday, November 30, 2010 - 12:27:13 PM
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  • HAL Id : tel-00541304, version 1
  • PRODINRA : 246930

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Thierry Pecot. Modélisation et estimation du trafic intracellulaire par tomographie de réseaux et microscopie de fluorescence. Interface homme-machine [cs.HC]. Université Rennes 1, 2010. Français. ⟨tel-00541304⟩

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