scholarly journals Fast and High-Accuracy Localization for Three-Dimensional Single-Particle Tracking

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Shu-Lin Liu ◽  
Jicun Li ◽  
Zhi-Ling Zhang ◽  
Zhi-Gang Wang ◽  
Zhi-Quan Tian ◽  
...  
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Three Dimensional ◽  
High Accuracy ◽  
Single Particle Tracking

Adaptive optics enables three-dimensional single particle tracking at the sub-millisecond scale

2013 ◽  
Vol 102 (17) ◽  
pp. 173702 ◽  
Author(s):  
Manuel F. Juette ◽  
Felix E. Rivera-Molina ◽  
Derek K. Toomre ◽  
Joerg Bewersdorf
Keyword(s):  
Adaptive Optics ◽  
Particle Tracking ◽  
Single Particle ◽  
Three Dimensional ◽  
Single Particle Tracking

Three-Dimensional Single Particle Tracking and Its Applications in Confined Environments

2020 ◽  
Vol 13 (1) ◽  
pp. 381-403
Author(s):  
Yaning Zhong ◽  
Gufeng Wang
Keyword(s):  
Mass Transport ◽  
Particle Tracking ◽  
Single Particle ◽  
Three Dimensional ◽  
Surface Interactions ◽  
Single Particle Tracking ◽  
Confined Space ◽  
Design And Optimization ◽  
Chemical Recognition ◽  
Molecule Surface

Single particle tracking (SPT) has proven to be a powerful technique in studying molecular dynamics in complicated systems. We review its recent development, including three-dimensional (3D) SPT and its applications in probing nanostructures and molecule-surface interactions that are important to analytical chemical processes. Several frequently used 3D SPT techniques are introduced. Especially of interest are those based on point spread function engineering, which are simple in instrumentation and can be easily adapted and used in analytical labs. Corresponding data analysis methods are briefly discussed. We present several important case studies, with a focus on probing mass transport and molecule-surface interactions in confined environments. The presented studies demonstrate the great potential of 3D SPT for understanding fundamental phenomena in confined space, which will enable us to predict basic principles involved in chemical recognition, separation, and analysis, and to optimize mass transport and responses by structural design and optimization.

Determination and Correction of Position Detection Nonlinearity in Single Particle Tracking and Three-Dimensional Scanning Probe Microscopy

2004 ◽  
Vol 10 (4) ◽  
pp. 425-434 ◽  
Author(s):  
Christian Tischer ◽  
Arnd Pralle ◽  
Ernst-Ludwig Florin
Keyword(s):  
Optical Tweezers ◽  
Particle Tracking ◽  
Single Particle ◽  
Scanning Probe Microscopy ◽  
Three Dimensional ◽  
Single Particle Tracking ◽  
Scanning Probe ◽  
Detection Scheme ◽  
Probe Microscopy ◽  
Position Detection

A general method is presented for determining and correcting nonlinear position detector responses in single particle tracking as used in three-dimensional scanning probe microscopy based on optical tweezers. The method uses locally calculated mean square displacements of a Brownian particle to detect spatial changes in the sensitivity of the detector. The method is applied to an optical tweezers setup, where the position fluctuations of a microsphere within the optical trap are measured by an interferometric detection scheme with nanometer precision and microsecond temporal resolution. Detector sensitivity profiles were measured at arbitrary positions in solution with a resolution of approximately 6 nm and 20 nm in the lateral and axial directions, respectively. Local detector sensitivities are used to reconstruct the real positions of the particle from the measured position signals.

scholarly journals Bayesian Estimation of the Axial Position in Astigmatism-Based Three-Dimensional Particle Tracking

2009 ◽  
Vol 2009 ◽  
pp. 1-6 ◽  
Author(s):  
Joshua W. Shaevitz
Keyword(s):  
Bayesian Estimation ◽  
Particle Tracking ◽  
Single Particle ◽  
Functional Form ◽  
Three Dimensional ◽  
Position Estimation ◽  
Single Particle Tracking ◽  
Axial Position ◽  
Accurate Estimation ◽  
Image Set

Accurate estimation of the axial position of a molecule using a single lateral image remains a challenge in fluorescent single particle tracking. Here, a principled algorithm for the Bayesian estimation of the axial position of a molecule in three-dimensional astigmatism-based particle tracking is proposed. This technique uses the data from a calibration image set to derive the position without assuming a functional form for the abberated defocusing curve. Using a calibration image set from forty 57 nm beads, the axial position is calculated, and the error associated with position estimation is discussed. This method is compared to previously published algorithms.

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