Microfluidic droplet tracking using machine vision

An intelligent, accurate and fast droplet tracking method based on machine vision is proposed to improve control stability and obtain dynamic information for digital microfluidics. A correlation filter tracker is added to track the transparent droplets in real-time and avoid noise from background patterns or inconsistent lighting.

This method was able to estimate droplet velocities up to 20 mm/s.

Source: Intelligent droplet tracking with correlation filters for digital microfluidics