Team Members: Diana Arguijo, Benjamin Li, Poras Shroff, Mercedes Suazo
uDrop-Generation is an application that uses image processing techniques to perform droplet detection, quantification of droplet diameter, and quantification of droplet generation rate within a microfluidic device. The goal of our project l is to improve the functionality of the application to handle variations in the droplet videos. These variations can include transparency, oils, as well as background noise. It is important to increase the accuracy and precision of the uDrop-Generation tool, as this will allow a more efficient lab process to be implemented, saving time and cost.
Github - https://github.com/BU-EC552/uDrop-Generation
