Event Scheduled for Jan 3, 2013
Event: Masters Thesis Defense: Michael Jorgensen-Automated Point-of-Care Imaging System for the Diagnosis of Malaria
Location: UCHC, Biodynamics Laboratory, Main Conference Room
Time: 03:00 pm
Details of Event:
Malaria has profoundly influenced human history for over four thousand years and despite numerous attempts at eradication, the prevention, diagnosis and treatment of malaria have been largely ineffective.
More than five hundred million people are affected by malaria every year, resulting in over one million annual deaths. Drug resistance development by the parasite has diminished the effectiveness of several treatment options, due in part to overtreatment of negative patients according to insufficient clinical algorithms and diagnostic methods. The objective of this research was to develop an automated imaging system to diagnose malaria with a high degree of sensitivity and specificity in addition to performing auxiliary features that are not available in any current technology.
The proposed imaging system, which exhibits a sensitivity of 100% and specificity of 97.7%, can also facilitate automated parasitemia measurements to determine disease severity, simultaneously perform a complete blood count, calculate hemoglobin content of infected cells, differentiate intraerythrocytic stages by detecting intraerythrocytic hemozoin, and transmit images to any clinician in the world, all in less time than any current diagnostic method.
The supplementary information made available by this system will allow clinicians to make a more informed diagnosis and determine appropriate treatment methods on a patient-by-patient basis. This will contribute to the early detection of malaria, limit unnecessary exposure to antimalarial drugs, and improve resource waste in endemic regions.
Target Audience: Not Available
Sponsored By: Biomedical Engineering
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