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Machine-learning solutions for the analysis of single-particle diffusion trajectories
Single-particle traces of the diffusive motion of molecules, cells, or animals are by now
routinely measured, similar to stochastic records of stock prices or weather data …
routinely measured, similar to stochastic records of stock prices or weather data …
Coherent light scattering from cellular dynamics in living tissues
DD Nolte - Reports on Progress in Physics, 2024 - iopscience.iop.org
This review examines the biological physics of intracellular transport probed by the coherent
optics of dynamic light scattering from optically thick living tissues. Cells and their …
optics of dynamic light scattering from optically thick living tissues. Cells and their …
Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking
Modern microscopic techniques following the stochastic motion of labelled tracer particles
have uncovered significant deviations from the laws of Brownian motion in a variety of …
have uncovered significant deviations from the laws of Brownian motion in a variety of …
Single particle tracking in systems showing anomalous diffusion: the role of weak ergodicity breaking
Anomalous diffusion has been widely observed by single particle tracking microscopy in
complex systems such as biological cells. The resulting time series are usually evaluated in …
complex systems such as biological cells. The resulting time series are usually evaluated in …
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach
Single-particle trajectories measured in microscopy experiments contain important
information about dynamic processes occurring in a range of materials including living cells …
information about dynamic processes occurring in a range of materials including living cells …
Guidelines for the fitting of anomalous diffusion mean square displacement graphs from single particle tracking experiments
Single particle tracking is an essential tool in the study of complex systems and biophysics
and it is commonly analyzed by the time-averaged mean square displacement (MSD) of the …
and it is commonly analyzed by the time-averaged mean square displacement (MSD) of the …
Universal algorithm for identification of fractional Brownian motion. A case of telomere subdiffusion
We present a systematic statistical analysis of the recently measured individual trajectories
of fluorescently labeled telomeres in the nucleus of living human cells. The experiments …
of fluorescently labeled telomeres in the nucleus of living human cells. The experiments …
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion
Single-particle tracking (SPT) has become a popular tool to study the intracellular transport
of molecules in living cells. Inferring the character of their dynamics is important, because it …
of molecules in living cells. Inferring the character of their dynamics is important, because it …
Range entropy: A bridge between signal complexity and self-similarity
Approximate entropy (ApEn) and sample entropy (SampEn) are widely used for temporal
complexity analysis of real-world phenomena. However, their relationship with the Hurst …
complexity analysis of real-world phenomena. However, their relationship with the Hurst …
Stochastic climate theory
In this chapter we review stochastic modeling methods in climate science. First we provide a
conceptual framework for stochastic modeling of deterministic dynamical systems based on …
conceptual framework for stochastic modeling of deterministic dynamical systems based on …