Single-Particle Diffusion Due to Magnetically Guarded Hangers in a Toroidal Octupole

1970 ◽  
Vol 13 (6) ◽  
pp. 1646
Author(s):  
C. W. Erickson
Keyword(s):  
Single Particle ◽  
Particle Diffusion

scholarly journals Single-Particle Diffusion Characterization by Deep Learning

2019 ◽  
Vol 117 (2) ◽  
pp. 185-192 ◽  
Author(s):  
Naor Granik ◽  
Lucien E. Weiss ◽  
Elias Nehme ◽  
Maayan Levin ◽  
Michael Chein ◽  
...  
Keyword(s):  
Deep Learning ◽  
Single Particle ◽  
Particle Diffusion

scholarly journals TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data

2021 ◽  
Author(s):  
Francesco Reina ◽  
John M. A. Wigg ◽  
Mariia Dmitrieva ◽  
Joёl Lefebvre ◽  
Jens Rittscher ◽  
...  
Keyword(s):  
Graphical User Interface ◽  
Particle Tracking ◽  
Single Particle ◽  
Trajectory Analysis ◽  
Membrane Dynamics ◽  
Single Particle Tracking ◽  
Particle Diffusion ◽  
Particle Mobility ◽  
Link Type ◽  
Tracking Trajectory

SummarySingle Particle Tracking (SPT) is one of the most widespread techniques to evaluate particle mobility in a variety of situations, such as in cellular and model membrane dynamics. The proposed TRAIT2D Python library is developed to provide object tracking, trajectory analysis and produce simulated datasets with graphical user interface. The tool allows advanced users to customise the analysis to their requirements.Availability and implementation: the software has been coded in Python, and can be accessed from: https://github.com/Eggeling-Lab-Microscope-Software/TRAIT2D, or the pypi and condaforge repositories.A comprehensive user guide is provided at https://eggeling-lab-microscope-software.github.io/TRAIT2D/.

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