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A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
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Optical tracking of nanoscale particles in microscale environments
P P Mathai1, J A Liddle2, S M Stavis2
1Center for Nanoscale Science and Technology, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA; Department of Materials Science and Engineering, University of Maryland, College Park, Maryland 20742, USA.
Applied Physics Reviews
|May 24, 2016
Summary
This study introduces an information theory framework to optimize nanoparticle tracking systems. It systematically analyzes trade-offs in optical microscopy for better particle and microenvironment characterization.
Area of Science:
- Physics
- Nanotechnology
- Information Theory
Background:
- Nanoparticle trajectories in microscale environments offer valuable data.
- Optical microscopy is a key tool for observing these trajectories.
- Current tracking methods involve inherent trade-offs in capability.
Purpose of the Study:
- To present an information theory-based framework for understanding nanoparticle tracking limitations.
- To guide the rational design of optical tracking systems for various applications.
- To systematically analyze the trade-offs in nanoparticle tracking measurements.
Main Methods:
- Developed a measurement framework grounded in information theory.
- Analyzed the degrees of freedom in optical microscopes.
- Reviewed nanoparticle tracking hardware, including emitters and probes.
- Examined techniques for single and multiple particle tracking.
Main Results:
- The framework elucidates theoretical and practical limitations of tracking systems.
- Identified how system components (sources, sensors, optics) impact measurement precision.
- Demonstrated various experimental approaches to enhance tracking performance.
- Highlighted the utility of prior information in refining measurements.
Conclusions:
- The information theory framework provides a systematic approach to designing nanoparticle tracking systems.
- Understanding theoretical and practical limitations is crucial for optimizing experimental setups.
- Diverse applications benefit from advanced particle tracking techniques, with potential for future advancements.
