Cover Image
Read Now

Recent Advances in Single-Particle Tracking: Experiment and Analysis

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 stati...

Full description

Bibliographic Details
Main Author: Szwabiński, Janusz
Other Authors: Weron, Aleksander
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Stochastic Processes
Information Theory
Stochastic Thermodynamics
Spt
Deep Learning
Brownian Particle
Machine Learning Classification
Wound Healing Dynamics
Heterogeneous
Fisher Information
Monte Carlo Simulations
Endosomes
Single-particle Tracking
Replicator Equation
Trapping
Fractional Brownian Motion
Mesoscopic Model
Multifractional Brownian Motion
Non-uniform Illumination
Diffusing-diffusivity
Diauxic Growth
Phase Contrast Image Segmentation
Feature Engineering
Residual Neural Networks
Physics / Bicssc
Ctrw
Single Particle Trajectory
Confinement
Autocovariance Function
Estimation
Random Walk
Single Pseudo-particle Tracking
Trajectory Classification
Statistical Analysis
Occupation Time Statistics
Power Of The Statistical Test
Integro-differential Equations
Research And Information: General / Bicssc
Neural Network
Anomalous Diffusion
3d Single-particle Tracking
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (238 p.)
ISBN:books978-3-0365-3486-2
9783036534862
9783036534855

Similar Items