A novel capillary-driven dual-mode imaging flow cytometry system for malaria parasite detection and quantification

Suraj K Maurya1, Matt Stark2, Alexander Martin Küenzi2

  • 1Institute for Human Centered Engineering (HuCE), Bern University of Applied Sciences (BFH), Quellgasse 21, Biel, 2501, Bern, Switzerland; Bio/CMOS Interfaces Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), rue de la Maladière 71, 2000, Neuchâtel, Switzerland.

Summary

A new, cost-effective image flow cytometer simplifies malaria diagnosis by combining brightfield and fluorescence imaging. This automated system accurately quantifies parasitemia, offering a promising alternative to traditional microscopy for disease management.