Recognising charged oil drops in Millikan's oil drop experiment
-
Updated
Jul 18, 2018 - Python
Recognising charged oil drops in Millikan's oil drop experiment
Computer vision for particle trajectories.
Code to identify, track, analyse and visualize particle trajectories from video files for Bernal et al. (2022).
Python toolkit for detecting, tracking and analyzing photokinetic particles in video recordings. Features particle detection with Trackpy, trajectory analysis with spline-fitted kinematics, visualization tools, and parameter optimization. Supports complete workflow from detection to visualization with data storage in HDF5 format.
Add a description, image, and links to the trackpy topic page so that developers can more easily learn about it.
To associate your repository with the trackpy topic, visit your repo's landing page and select "manage topics."