Improvement of fluorescent bead detection and classification algorithms for CD4 cell counting in portable flow cytometers

This research project focuses on the development of software for a device that can diagnose HIV and monitor its severity by taking a small sample of the patients blood. The software will count the number of immune cells present in the sample by taking images of the patients blood as it flows through the device. It will then report the cell count to the medical professional who will be able to make a diagnosis.
This project will ease the process of HIV diagnostics, and make HIV testing more accessible in general. This could greatly improve outcomes for patients in developing countries, where access to healthcare is sub-par and the need for accessible medical equipment is growing.

Faculty Supervisor:

Jan Andrysek

Student:

Vyshnavi Kommu

Partner:

ChipCare

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program: