Date of Completion
4-26-2024
Degree Type
Honors Thesis
Discipline
Electrical Engineering (ELEC)
First Advisor
Victor Lin
Second Advisor
Yong-Jun Li
Third Advisor
Robert Senter
Abstract
Malaria remains a significant global health challenge, with millions of cases reported annually, particularly in resource-limited regions. Timely and accurate diagnosis is crucial for effective treatment and disease management. Unfortunately, there are still significant challenges in existing testing procedures, which are often expensive, inaccurate, or impractical for mass testing. While spectrophotometry has been proposed as a detection tool for other tropical diseases such as dengue fever, no prototype has been made for any disease, including malaria. This report addresses this gap by presenting a spectrophotometric-based malaria detection tool that achieves high sensitivity at a low cost. The inclusion of a user-friendly interface ensures simplicity in its operation, making it suitable for deployment in field settings.
Recommended Citation
Wasylewski, Adrian; Faber, Christopher; and Lin, Victor, "Spectrophotometric Device for Early Malaria Detection" (2024). Honors Thesis. 522.
https://digitalcommons.lmu.edu/honors-thesis/522
