ArticleProceedings of the ... American Control Conference. American Control Conference2019
Monte Carlo Simulation of Brownian Motion using a Piezo-Actuated Microscope Stage.
Article in Proceedings of the ... American Control Conference. American Control Conference, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Synthetic Stochastic Motion Platform for Testing Single Particle Tracking Microscopes.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2022Article
- An Estimation Algorithm for General Linear Single Particle Tracking Models with Time-Varying Parameters.Molecules (Basel, Switzerland) · 2021Article
- Estimation of general time-varying single particle tracking linear models using local likelihood.Control Conference (ECC) ... European. European Control Conference · 2020Article
- Feedforward Control for Single Particle Tracking Synthetic Motion.IFAC-PapersOnLine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Single particle tracking is a powerful tool for studying and understanding the motions of biological macromolecules integral to cellular processes. In the past three decades there has been continuous and rapid development of these techniques in both optical microscope design and in algorithms to estimate the statistics and positions of the molecule's trajectory. Although there has been great progress, comparison between different microscope configurations and estimation algorithms has been difficult beyond simulated data. In this paper we explore using a piezo actuated microscope stage to reproduce Brownian motion. Our goal is to use this as a tool to test performance of single particle tracking optical microscopes and estimation algorithms. In this study, Monte Carlo simulations were used to assess the ability of piezo actuated microscope stages for reproducing Brownian motion. Surprisingly, the dynamics of the stage together with configuration of the system allow for preservation of the Brownian motion statistics. Further, feed forward model inverse control allows for low error tracking of Brownian motion trajectories over a wide range of diffusion constants, varying stage response times, and trajectory discrete time steps. These results show great promise in using a piezo actuated microscope stage for testing single particle tracking experimental setups.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.