Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented images - Lin, Ye; Andersson, Sean B. (PloS one, 2021)
Keywords: Algorithms; Analysis; Artificial neural networks; Background noise; Cameras; CMOS; Computer and Information Sciences; Computer simulation; Deep learning; Drafting software; Engineering and Technology; Experimental methods; Image segmentation; Kalman filters; Localization; Machine learning; Macromolecules; Mechanical engineering; Neural networks; Noise; Noise levels; Parameter estimation; Parameter identification; Particle tracking; Particle trajectories; Physical properties; Physical Sciences; Random variables; Research and Analysis Methods; Systems engineering; Trajectory analysis; United States; United States--US