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Nonergodicity mimicking inhomogeneity in single particle tracking
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools, 2008Most statistical theories of anomalous diffusion rely on ensemble-averaged quantities such as the mean squared displacement. Recent single molecule tracking measurements require, however, temporal averaging. We contrast the two approaches in the case of continuous-time random walks with an asymptotic power law distribution of waiting times lacking the ...
Igor M. Sokolov +2 more
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2009
Single-particle techniques are a powerful approach to study systems with spatial or temporal inhomogeneity. The living cell is a prime example of both. Single-particle measurements give much more detailed information than ensemble-averaged measurements. One can find the distribution of properties or behavior, not just the average.
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Single-particle techniques are a powerful approach to study systems with spatial or temporal inhomogeneity. The living cell is a prime example of both. Single-particle measurements give much more detailed information than ensemble-averaged measurements. One can find the distribution of properties or behavior, not just the average.
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Single-Particle Tracking of Cell Surface Proteins
2018Single-particle tracking has been used extensively to advance our understanding of the plasma membrane and the mechanisms controlling the movement of cell surface proteins. These studies provide fundamental insights into the regulation of membrane receptor activation and the assembly of signaling clusters.
Laabiah, Wasim, Bebhinn, Treanor
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Statistics of camera-based single-particle tracking
Physical Review E, 2010Camera-based single-particle tracking enables quantitative determination of transport properties and provides nanoscale information about material characteristics such as viscosity and elasticity. However, static localization noise and the blurring of a particle's position over camera integration times introduce artifacts into measurement results even ...
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Development of fan‐shaped tracker for single particle tracking
Microscopy Research and Technique, 2020AbstractWith the development of super‐resolution fluorescence microscopy, complex dynamic processes in living cells can be observed and recorded with unprecedented temporal and spatial resolution. Single particle tracking (SPT) is the most important step to explore the relationship between the spatio‐temporal dynamics of subcellular molecules and their
Luhong Jin +8 more
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Single-Particle Tracking of Virus Entry in Live Cells
2023Novel imaging technologies such as single-particle tracking provide tools to study the intricate process of virus infection in host cells. In this chapter, we provide an overview of studies in which single-particle tracking technologies were applied for the analysis of the viral entry pathways in the context of the live host cell.
Xiaowei, Zhang, Wei, Li, Zongqiang, Cui
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Three dimensional single-particle tracking with nanometer resolution
Review of Scientific Instruments, 1998We have developed a method for three dimensional (3D) tracking of polystyrene spheres with nanometer resolution. The detection technique is based on measuring the displacement of a polystyrene sphere positioned in the center of a laser beam just behind the focus.
Peters, I.M. +4 more
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Setup for single-particle orbit tracking: artifacts and corrections
Journal of the Optical Society of America A, 2012We report on an experimental setup for single-particle orbit tracking, which allows following fluorescent nanoparticles for more than 10 min with a temporal resolution of 4 ms and a dynamic position accuracy of better than 10 nm. On a model sample--20 nm sized fluorescent polymer beads in glycerol--we will illustrate how artifacts caused by unavoidable
Dominique, Ernst +2 more
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Single-Particle Tracking by Graph Transformer
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Satoshi Kamiya +3 more
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Single-particle tracking: connecting the dots
Nature Methods, 2008Algorithms for analyzing single-particle tracking images to obtain the paths of individual particles are challenged by high-density data. Improvements in algorithms help to overcome these limitations.
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