Single particle diffusion characterization by deep learning
N. Granik, E. Nehme, L. E. Weiss, M. Levin, M. Chein, E. Perlson, Y. Roichman, Y. Shechtman
This paper develops a deep learning method to classify and quantify anomalous diffusion processes from single-particle trajectories, outperforming traditional methods with fewer data points.
bioRxiv · Apr 4, 2019Biophysics