Evaluation of image sequences additive decomposition algorithms for membrane analysis in fluorescence video-microscopy

Anatole Chessel 1, 2 Thierry Pecot 3, 1, 2 Sabine Bardin 4 Charles Kervrann 1 Jean Salamero 2, 4
1 VISTAS - Spatio-Temporal Vision and Learning
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
4 Mécanismes moléculaires du transport intracellulaire
CDC - Compartimentation et dynamique cellulaires
Abstract : A wide range of proteins viewed using xFP probes in fluores- cence video-microscopy shows a cytosolic state diffusing slowly and a membrane state eventually moving as vesicles or small tubules along the cell cytoskeleton network. Due to the property of fluores- cence, the measured intensity is the sum of the contributions of these two components. In this study we perform an evaluation of different methods for the automatic decomposition of the two additive com- ponents/states. Four algorithms are studied: i) gray-scale opening (a.k.a. "rolling ball"); ii) wavelet-based detection combined with image interpolation; iii) Conditional Random Field-based detection; iv) computational geometry for temporal signal analysis. The eval- uation protocol, related to the actual use of image sequence decom- position, includes a qualitative evaluation on real image sequences by experts and a quantitative evaluation on simulated sequences that mimic real images.
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IEEE International Symposium on Biomedical Imaging, IEEE, 2009, pp.1099-1102
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Anatole Chessel, Thierry Pecot, Sabine Bardin, Charles Kervrann, Jean Salamero. Evaluation of image sequences additive decomposition algorithms for membrane analysis in fluorescence video-microscopy. IEEE International Symposium on Biomedical Imaging, IEEE, 2009, pp.1099-1102. 〈hal-00794867〉

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