Event Title

Mobile Application for Biosensor Colorimetric Analysis

Location

Buller Hall

Start Date

2-26-2016 2:30 PM

End Date

2-26-2016 4:00 PM

Description

Inexpensive paper-based biosensors can be valuable screening tools to test for various illnesses, but it is often challenging to design them to produce a visual change that can easily be identified by untrained users. This research aims to compensate for the lack of distinct visual cues by developing a mobile application that will use machine learning to analyze a picture of a sensor and determine whether it shows a positive or negative result. The machine learning algorithm will be trained on a set of labeled sensor images and its classification accuracy will be calculated and compared to a human expert.

Acknowledgments

Dr. Rodney Summerscales

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Feb 26th, 2:30 PM Feb 26th, 4:00 PM

Mobile Application for Biosensor Colorimetric Analysis

Buller Hall

Inexpensive paper-based biosensors can be valuable screening tools to test for various illnesses, but it is often challenging to design them to produce a visual change that can easily be identified by untrained users. This research aims to compensate for the lack of distinct visual cues by developing a mobile application that will use machine learning to analyze a picture of a sensor and determine whether it shows a positive or negative result. The machine learning algorithm will be trained on a set of labeled sensor images and its classification accuracy will be calculated and compared to a human expert.