Fluorescence Intensity Detection Improvement for an Isothermal Diagnostic Detector

This thesis outlines the improvements made to the fluorescence-based isothermal diagnostic device, for the detection of COVID-19, that was previously developed by students.
The main goal of this thesis is to find a configuration that minimizes the amount of recorded noise in the baseline fluorescence sample. As the detector detects the presence of COVID-19 by comparing the amount of fluorescence within the presented sample against a baseline value, it is imperative that the baseline be as consistent and noise-free as possible to avoid an erroneous detection.
To find such a configuration, the thesis looks at various factors including heating, the use of optical filters, physical location, and variations in the number per round (count), number of rounds (cycle), and frequency (delay) of the recorded data.