Localization and Classification of Membrane Dynamics in TIRF Microscopy Image Sequences

Abstract : The detection of proteins and the classification of their temporal behaviors in live cell fluorescence microscopy are of utmost importance to understand cell mechanisms. In this paper, we aim at locating and recognizing temporal events in TIRF microscopy image sequences related to membrane dynamics. After segmenting the time-varying vesicles in the image, we exploit space-time information extracted from three successive images only to model, locate and recognize the two dynamic configurations of interest: translational motion or local fluorescence diffusion. A likelihood ratio test is defined to solve this issue. Results on synthetic and real TIRF sequences demonstrate the accuracy and efficiency of the proposed method.
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Communication dans un congrès
ISBI - 2014 IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China. 2014
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https://hal.inria.fr/hal-00921794
Contributeur : Antoine Basset <>
Soumis le : samedi 21 décembre 2013 - 15:01:28
Dernière modification le : vendredi 31 août 2018 - 09:18:24

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  • HAL Id : hal-00921794, version 1

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Antoine Basset, Patrick Bouthemy, Jérôme Boulanger, Jean Salamero, Charles Kervrann. Localization and Classification of Membrane Dynamics in TIRF Microscopy Image Sequences. ISBI - 2014 IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China. 2014. 〈hal-00921794〉

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