ArticleBiomedical optics express2016
Tracking single fluorescent particles in three dimensions via extremum seeking.
Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Mapping Nanoscale Forces and Potentials in Live Cells with Microsecond 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Super-Resolving Particle Diffusion Heterogeneity in Porous Hydrogels via High-Speed 3D Active-Feedback Single-Particle Tracking Microscopy.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Super-resolving particle diffusion heterogeneity in porous hydrogels via high-speed 3D active-feedback single-particle tracking microscopy.bioRxiv : the preprint server for biology · 2025Article
- Information optimization of laser scanning microscopes for real-time feedback-driven single particle tracking.Optics express · 2023Article
- Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.Small (Weinheim an der Bergstrasse, Germany) · 2022Review
- Analysis of an Extremum Seeking Controller Under Bounded Disturbance.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2021Article
- Three-dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditions.Biomedical optics express · 2021Article
- Tracking Multiple Diffusing Particles Using Information Optimal Control.Proceedings of the ... American Control Conference. American Control Conference · 2021Article
- Information Optimal Control for Single Particle Tracking Microscopy.IFAC-PapersOnLine · 2021Article
- Article
- Feedforward Control for Single Particle Tracking Synthetic Motion.IFAC-PapersOnLine · 2020Article
- Monte Carlo Simulation of Brownian Motion using a Piezo-Actuated Microscope Stage.Proceedings of the ... American Control Conference. American Control Conference · 2019Article
- High-Speed Single-Molecule Tracking of CXCL13 in the B-Follicle.Frontiers in immunology · 2018Article
- Computationally efficient application of Sequential Monte Carlo expectation maximization to confined single particle tracking.Control Conference (ECC) ... European. European Control ConferenceArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to track single fluorescent particles in three-dimensions with sub-diffraction limit precision as well as sub-millisecond temporal resolution has enabled the understanding of many biophysical phenomena at the nanometer scale. While there are several techniques for achieving this, most require complicated experimental setups that are expensive to implement. These methods can offer superb performance but their complexity may be overwhelming to the end-user whose aim is only to understand the feature being imaged. In this work, we describe a method for tracking a single fluorescent particle using a standard confocal or multi-photon microscope configuration. It relies only on the assumption that the relative position of the measurement point and the particle can be actuated and that the point spread function has a global maximum that coincides with the particle's position. The method uses intensity feedback to calculate real-time position commands that "seek" the extremum of the point spread function as the particle moves through its environment. We demonstrate the method by tracking a diffusing quantum dot in a hydrogel on a standard epifluorescent confocal microscope.
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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.