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Ifac-Papersonline|March 10, 2022
Joint Estimation of Trajectory and Model Parameters for Single Particle Tracking of 3D Confined Diffusion Using the Double-Helix Point Spread FunctionYe Lin, Fatemeh Sharifi, Sean B Andersson
Biomedical Optics Express|October 25, 2021
Three-dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditionsYe Lin, Fatemeh Sharifi, Sean B Andersson
Optics Express|June 29, 2023
Information optimization of laser scanning microscopes for real-time feedback-driven single particle trackingNicholas A Vickers, Fatemeh Sharifi, Sean B Andersson
Plos One|May 21, 2021
Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented imagesYe Lin, Sean B Andersson
Control Conference (ECC) ... European. European Control Conference|January 26, 2022
Computationally efficient application of Sequential Monte Carlo expectation maximization to confined single particle trackingYe Lin, Sean B Andersson
Proceedings of the ... American Control Conference. American Control Conference|September 6, 2021
EM-based algorithms for single particle tracking of Ornstein-Uhlenbeck motion from sCMOS camera dataYe Lin, Sean B Andersson
Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control|August 11, 2020
Simultaneous Localization and Parameter Estimation for Single Particle Tracking via Sigma Points based EMYe Lin, Sean B Andersson
Proceedings of the ... American Control Conference. American Control Conference|August 30, 2021
Tracking Multiple Diffusing Particles Using Information Optimal ControlSamuel C Pinto, Nicholas A Vickers, Fatemeh Sharifi, et al.
Proceedings of the ... American Control Conference. American Control Conference|September 6, 2021
A time-varying approach to single particle tracking with a nonlinear observation modelBoris I Godoy, Ye Lin, Sean B Andersson
Asian Control Conference. Asian Control Conference|July 15, 2021
A 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum LikelihoodBoris I Godoy, Ye Lin, Juan C Agüero, et al.
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