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Extract latent features of single-particle trajectories with historical experience learning
Single-particle tracking has enabled real-time, in situ quantitative studies of complex
systems. However, inferring dynamic state changes from noisy and undersampling …
systems. However, inferring dynamic state changes from noisy and undersampling …
[HTML][HTML] An estimation algorithm for general linear single particle tracking models with time-varying parameters
Single Particle Tracking (SPT) is a powerful class of methods for studying the dynamics of
biomolecules inside living cells. The techniques reveal the trajectories of individual particles …
biomolecules inside living cells. The techniques reveal the trajectories of individual particles …
Model segmentation in single particle tracking
In this paper, we implement and compare two different change detection techniques applied
to determining the time points in Single Particle Tracking (SPT) data where the particle …
to determining the time points in Single Particle Tracking (SPT) data where the particle …