scholarly journals Two-Dimensional and Three-Dimensional Single Particle Tracking of Upconverting Nanoparticles in Living Cells

2019 ◽  
Vol 20 (6) ◽  
pp. 1424 ◽  
Author(s):  
Kyujin Shin ◽  
Yo Song ◽  
Yeongchang Goh ◽  
Kang Lee
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Living Cells ◽  
Single Particle Tracking ◽  
Infrared Light ◽  
Objective Lens ◽  
Two Dimensional

Lanthanide-doped upconversion nanoparticles (UCNPs) are inorganic nanomaterials in which the lanthanide cations embedded in the host matrix can convert incident near-infrared light to visible or ultraviolet light. These particles are often used for long-term and real-time imaging because they are extremely stable even when subjected to continuous irradiation for a long time. It is now possible to image their movement at the single particle level with a scale of a few nanometers and track their trajectories as a function of time with a scale of a few microseconds. Such UCNP-based single-particle tracking (SPT) technology provides information about the intracellular structures and dynamics in living cells. Thus far, most imaging techniques have been built on fluorescence microscopic techniques (epifluorescence, total internal reflection, etc.). However, two-dimensional (2D) images obtained using these techniques are limited in only being able to visualize those on the focal planes of the objective lens. On the contrary, if three-dimensional (3D) structures and dynamics are known, deeper insights into the biology of the thick cells and tissues can be obtained. In this review, we introduce the status of the fluorescence imaging techniques, discuss the mathematical description of SPT, and outline the past few studies using UCNPs as imaging probes or biologically functionalized carriers.

Optimized micromirrors for three-dimensional single-particle tracking in living cells

2011 ◽  
Vol 98 (24) ◽  
pp. 243701 ◽  
Author(s):  
Houssam Hajjoul ◽  
Julien Mathon ◽  
Yannick Viero ◽  
Aurélien Bancaud
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Three Dimensional ◽  
Living Cells ◽  
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.

scholarly journals Single-Particle Tracking Porcine Epidemic Diarrhea Virus Moving along Microtubules in Living Cells

Proceedings ◽  
2020 ◽  
Vol 50 (1) ◽  
pp. 124
Author(s):  
Yangyang Li ◽  
Wei Hou ◽  
Jian Wang ◽  
Fei Liu
Keyword(s):  
Particle Tracking ◽  
Single Particle ◽  
Porcine Epidemic Diarrhea Virus ◽  
Living Cells ◽  
Single Particle Tracking ◽  
Microtubule Organizing Center ◽  
Swine Industry ◽  
Diarrhea Virus ◽  
Organizing Center ◽  
Porcine Epidemic Diarrhea

Porcine epidemic diarrhea virus (PEDV), a member of the genus Alphacoronavirus, has caused severe damage to the swine industry. Although viruses are believed to hijack the microtubule-based transport system, the exact manner of PEDV moving along microtubules has not been fully characterized. In this study, PEDV was labeled with quantum dots which have great brightness and photostability. By using quantum dot-labeled PEDV and single-particle tracking, we were able to systematically dissect the dynamic behaviors of PEDV moving along the microtubules in living cells. We found that PEDVs maintained a restricted motion mode with a relatively stable speed in the cell membrane region while displaying a slow–fast–slow velocity pattern with different motion modes in the cell cytoplasm region and near the microtubule-organizing center. The return movements of small amounts of PEDVs were also observed in living cells. Collectively, our work is crucial for understanding the movement of PEDV in living cells; the proposed work also provides important references for further analysis and studies of the infection mechanism of PEDV.

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