Automated Malaria Microscopy Shows High Diagnostic Accuracy in Multicenter Study

A multicenter diagnostic accuracy study published in Clinical Infectious Diseases evaluated the Noul miLab automated microscope using 2,201 samples from febrile patients in Ethiopia and Ghana. The portable device integrates smear preparation, staining, imaging, and artificial intelligence–supported parasite detection. Samples were tested using local microscopy, miLab, and rapid diagnostic tests, with quantitative polymerase chain reaction (qPCR) and expert microscopy serving as reference standards.

Against expert microscopy, miLab sensitivity was 96.3% for Plasmodium falciparum (335/348) and 96.8% for Plasmodium vivax (399/412). Against qPCR-positive infections with densities above 200 parasites/µL, sensitivity was 97.4% (298/306) and 95.9% (419/437), respectively. Specificity against qPCR was 98.8% for P. falciparum and 97.8% for P. vivax. The device was significantly more sensitive than health-center microscopy. Among miLab-positive samples in Ethiopia, species assignment was correct for 98.7% of P. falciparum and 96.2% of P. vivax monoinfections.

These findings support automated microscopy as a potential tool for malaria diagnosis where microscopist performance varies. However, the reported qPCR-based sensitivity estimates apply only to infections above 200 parasites/µL and do not establish sensitivity at lower densities. Only the abstract was available; it did not report patient outcomes, operational costs, or funding disclosures.