Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Recognising charged oil drops in Millikan's oil drop experiment
Computer vision for particle trajectories.
Particle tracking script used for visualising the flow of graphite particles inside a blender. Part of a MEng final year project at the University of Birmingham.
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.
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