An estimation algorithm for general linear single particle tracking models with time-varying parameters

BI Godoy, NA Vickers, SB Andersson - Molecules, 2021 - mdpi.com
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 …

A time-varying approach to single particle tracking with a nonlinear observation model

BI Godoy, Y Lin, SB Andersson - 2020 American Control …, 2020 - ieeexplore.ieee.org
Single Particle Tracking (SPT) is a powerful class of tools for analyzing the dynamics of
individual biological macromolecules moving inside living cells. The acquired data is …

Dynamic rEvolution: Adaptive state estimation via Gaussian processes and iterative filtering

A Kullberg - 2024 - diva-portal.org
For virtually every area of science and engineering, state estimation is ubiquitous. Accurate
state estimation requires a moderately precise mathematical model of the system, typically …

Model segmentation in single particle tracking

BI Godoy, NA Vickers, SB Andersson - Ifac-papersonline, 2021 - Elsevier
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 …

Evaluating and Optimizing the Performance of Real-Time Feedback-Driven Single Particle Tracking Microscopes Through the Lens of Information and Optimal Control

NA Vickers - 2023 - search.proquest.com
Single particle tracking has become a ubiquitous class of tools in the study of biology at the
molecular level. While the broad adoption of these techniques has yielded significant …

Particle detection, extraction, and state estimation in single particle tracking microscopy

Y Lin - 2022 - search.proquest.com
Abstract Single Particle Tracking (SPT) plays an important role in the study of physical and
dynamic properties of biomolecules moving in their native environment. To date, many …