Real-time image-based droplet measurement
Date
2020
Authors
Elahi, Sepehr
Kalantarifard, Ali
Kalantarifard, Fatemeh
Elbüken, Çağlar
Editor(s)
Advisor
Supervisor
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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
Type
Journal Title
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Volume Title
Attention Stats
Usage Stats
10
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views
5
downloads
downloads
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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.