Automatic detection of diffusion modes within biological membranes using back-propagation neural network.
Fiche publication
Date publication
mai 2016
Journal
BMC bioinformatics
Auteurs
Membres identifiés du Cancéropôle Est :
Dr RASSAM Patrice
Tous les auteurs :
Dosset P, Rassam P, Fernandez L, Espenel C, Rubinstein E, Margeat E, Milhiet PE
Lien Pubmed
Résumé
Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and can diffuse according to different motion modes. Trajectories are often reconstructed frame-by-frame and dynamic properties often evaluated using mean square displacement (MSD) analysis. However, to get statistically significant results in tracking experiments, analysis of a large number of trajectories is required and new methods facilitating this analysis are still needed.
Mots clés
Diffusion, Membrane, Neural network, Single molecule tracking, Trajectory
Référence
BMC Bioinformatics. 2016 05 4;17(1):197