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Communication Dans Un Congrès Année : 2016

Fusion detection in time-lapse microscopy images: application to lipid droplets coalescence in plant seeds

Résumé

Detecting fusion events between lipid droplets of Arabidopsis thaliana embryos is of significant interest to understand the role of lipid droplet proteins. Lipid droplet proteins, called oleosins, have been shown to influence the size of lipid droplets possibly by preventing coalescence. We propose to detect fusion events in timelapse microscopy images of several oleosin deficient A. thaliana embryos. To detect volume preserving fusion events in a dense environment, we propose a procedure based on particle tracking and statistical tests. Using synthetic data, we compare the performances of our method to heuristic decision rules adapted from tracking algorithms from the literature.

Dates et versions

hal-02743608 , version 1 (03-06-2020)

Identifiants

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François Deslandes, Béatrice Laroche, Alain Trubuil. Fusion detection in time-lapse microscopy images: application to lipid droplets coalescence in plant seeds. 6th IFAC Conference on Foundations of Systems Biology in Engineering, Oct 2016, Magdeburg, Germany. pp.6, ⟨10.1016/j.ifacol.2016.12.132⟩. ⟨hal-02743608⟩
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