Microrheology, advances in methods and insights

Q Xia, H Xiao, Y Pan, L Wang - Advances in Colloid and Interface Science, 2018 - Elsevier
Microrheology is an emerging technique that probes mechanical response of soft material at
micro-scale. Generally, microrheology technique can be divided into active and passive …

Anomalous diffusion, nonergodicity, and ageing for exponentially and logarithmically time-dependent diffusivity: striking differences for massive versus massless …

AG Cherstvy, H Safdari, R Metzler - Journal of Physics D: Applied …, 2021 - iopscience.iop.org
Anomalous diffusion, nonergodicity, and ageing for exponentially and logarithmically time-dependent
diffusivity: striking differences for massive versus massless particles - IOPscience This site …

Non-Gaussianity, population heterogeneity, and transient superdiffusion in the spreading dynamics of amoeboid cells

AG Cherstvy, O Nagel, C Beta, R Metzler - … Chemistry Chemical Physics, 2018 - pubs.rsc.org
What is the underlying diffusion process governing the spreading dynamics and search
strategies employed by amoeboid cells? Based on the statistical analysis of experimental …

Mobility and repair of damaged DNA: random or directed?

R Oshidari, K Mekhail, A Seeber - Trends in Cell Biology, 2020 - cell.com
The increased mobility of damaged DNA within the nucleus can promote genome stability
and cell survival. New cell biology approaches have indicated that damaged DNA mobility …

Random coefficient autoregressive processes describe Brownian yet non-Gaussian diffusion in heterogeneous systems

J Ślęzak, K Burnecki, R Metzler - New Journal of Physics, 2019 - iopscience.iop.org
Many studies on biological and soft matter systems report the joint presence of a linear
mean-squared displacement and a non-Gaussian probability density exhibiting, for instance …

Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models

K Burnecki, G Sikora, A Weron, MM Tamkun, D Krapf - Physical Review E, 2019 - APS
In this paper we show that an autoregressive fractionally integrated moving average time-
series model can identify two types of motion of membrane proteins on the surface of …

Statistical methodology in single-molecule experiments

C Du, SC Kou - Statistical Science, 2020 - JSTOR
Toward the last quarter of the 20th century, the emergence of single-molecule experiments
enabled scientists to track and study individual molecules' dynamic properties in real time …

Modeling of water usage by means of ARFIMA–GARCH processes

J Gajda, G Bartnicki, K Burnecki - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
This paper addresses an important problem of modeling and prediction of phenomena with
antipersistent behavior and variance changing in time. As a proper stochastic model we …

Fractional dynamics identification via intelligent unpacking of the sample autocovariance function by neural networks

D Szarek, G Sikora, M Balcerek, I Jabłoński… - Entropy, 2020 - mdpi.com
Many single-particle tracking data related to the motion in crowded environments exhibit
anomalous diffusion behavior. This phenomenon can be described by different theoretical …

Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model

M Balcerek, H Loch-Olszewska… - Physical Chemistry …, 2019 - pubs.rsc.org
Single particle tracking experiments have recently uncovered that the motion of cell
membrane components can undergo changes of diffusivity as a result of the heterogeneous …