Electron microscopy studies of soft nanomaterials
Z Lyu, L Yao, W Chen, FC Kalutantirige… - Chemical …, 2023 - ACS Publications
This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …
biological) nanomaterials. We will show how developments of both the hardware and …
Heterogeneous anomalous transport in cellular and molecular biology
TA Waigh, N Korabel - Reports on Progress in Physics, 2023 - iopscience.iop.org
It is well established that a wide variety of phenomena in cellular and molecular biology
involve anomalous transport eg the statistics for the motility of cells and molecules are …
involve anomalous transport eg the statistics for the motility of cells and molecules are …
Objective comparison of methods to decode anomalous diffusion
G Muñoz-Gil, G Volpe, MA Garcia-March… - Nature …, 2021 - nature.com
Deviations from Brownian motion leading to anomalous diffusion are found in transport
dynamics from quantum physics to life sciences. The characterization of anomalous diffusion …
dynamics from quantum physics to life sciences. The characterization of anomalous diffusion …
Bayesian deep learning for error estimation in the analysis of anomalous diffusion
H Seckler, R Metzler - Nature Communications, 2022 - nature.com
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …
in a wide variety of systems, from single-molecule motion in living-cells to movement …
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda… - Applied Physics …, 2021 - pubs.aip.org
Video microscopy has a long history of providing insight and breakthroughs for a broad
range of disciplines, from physics to biology. Image analysis to extract quantitative …
range of disciplines, from physics to biology. Image analysis to extract quantitative …
Machine-learning solutions for the analysis of single-particle diffusion trajectories
H Seckler, J Szwabinski, R Metzler - The Journal of Physical …, 2023 - ACS Publications
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 …
Anomalous diffusion, aging, and nonergodicity of scaled Brownian motion with fractional Gaussian noise: Overview of related experimental observations and models
W Wang, R Metzler, AG Cherstvy - Physical Chemistry Chemical …, 2022 - pubs.rsc.org
How does a systematic time-dependence of the diffusion coefficient D (t) affect the ergodic
and statistical characteristics of fractional Brownian motion (FBM)? Here, we answer this …
and statistical characteristics of fractional Brownian motion (FBM)? Here, we answer this …
Towards a robust criterion of anomalous diffusion
V Sposini, D Krapf, E Marinari, R Sunyer… - Communications …, 2022 - nature.com
Anomalous-diffusion, the departure of the spreading dynamics of diffusing particles from the
traditional law of Brownian-motion, is a signature feature of a large number of complex soft …
traditional law of Brownian-motion, is a signature feature of a large number of complex soft …
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion
HD Pinholt, SSR Bohr, JF Iversen… - Proceedings of the …, 2021 - National Acad Sciences
Single-particle tracking (SPT) is a key tool for quantitative analysis of dynamic biological
processes and has provided unprecedented insights into a wide range of systems such as …
processes and has provided unprecedented insights into a wide range of systems such as …
DeepMoD: Deep learning for model discovery in noisy data
GJ Both, S Choudhury, P Sens, R Kusters - Journal of Computational …, 2021 - Elsevier
Abstract We introduce DeepMoD, a Deep learning based Model Discovery algorithm.
DeepMoD discovers the partial differential equation underlying a spatio-temporal data set …
DeepMoD discovers the partial differential equation underlying a spatio-temporal data set …