Real-time image-based droplet measurement

Date

2020

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences

Print ISSN

Electronic ISSN

Publisher

Chemical and Biological Microsystems Society

Volume

Issue

Pages

86 - 87

Language

English

Journal Title

Journal ISSN

Volume Title

Series

Abstract

The ability to measure physical properties of droplets in real-time is required to design precise operations on droplet-based systems. In this study, we implemented a real-time droplet tracker that tracks the positions of droplets and measures droplet generation frequency as well as droplets' physical properties, such as size, size distribution, shape, velocity, circularity. Furthermore, using the droplet length, we use curve fitting to determine the dispersed phase viscosity. Our droplet tracker is implemented in Python, using the OpenCV library and can be run on a routine PC.

Course

Other identifiers

Book Title

Citation

item.page.isversionof