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Recent Advances in Single-Particle Tracking: Experiment and Analysis
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This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion.
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Keywords
- 3D single-particle tracking
- anomalous diffusion
- autocovariance function
- Brownian particle
- confinement
- CTRW
- deep learning
- diauxic growth
- diffusing-diffusivity
- endosomes
- estimation
- feature engineering
- Fisher information
- fractional Brownian motion
- heterogeneous
- Information theory
- Integro-differential equations
- machine learning classification
- Mathematics & science
- mesoscopic model
- Monte Carlo simulations
- multifractional Brownian motion
- Neural Network
- non-uniform illumination
- occupation time statistics
- phase contrast image segmentation
- Physics
- power of the statistical test
- Random Walk
- Reference, information & interdisciplinary subjects
- replicator equation
- Research & information: general
- residual neural networks
- single particle trajectory
- single pseudo-particle tracking
- single-particle tracking
- SPT
- statistical analysis
- Stochastic processes
- Stochastic Thermodynamics
- trajectory classification
- Trapping
- wound healing dynamics
Links
DOI: 10.3390/books978-3-0365-3486-2Editions