Sorting nanoparticles by their optical absorption, White et al.

This project analyzes particle behavior under laser irradiation using video-based tracking combined with instrumental characterisation. The code is based on TrackPy tracking software and processes video data to identify particles, track their displacement, calculate velocities, and characterize the positional dependence of laser effects on particle motion. The data clearly demonstrate for the first time the separation of similarly sized nanoparticles by optical force using lasers. The use of collimated and lightly focused beams enables the efficient and scalable sorting of nanoparticles based on their optical properties alone.