Automated wide-field malaria parasite infection detection using Fourier ptychography on stain-free thin-smears.

ABSTRACT: Diagnosis of malaria in endemic areas is hampered by the lack of a rapid, stain-free and sensitive method to directly identify parasites in peripheral blood. Herein, we report the use of Fourier ptychography to generate wide-field high-resolution quantitative phase images of erythrocytes infected with malaria parasites, from a whole blood sample. We are able to image thousands of erythrocytes (red blood cells) in a single field of view and make a determination of infection status of the quantitative phase image of each segmented cell based on machine learning (random forest) and deep learning (VGG16) models. Our random forest model makes use of morphology and texture based features of the quantitative phase images. In order to label the quantitative images of the cells as either infected o

SUBMITTER: Akcakır O 

PROVIDER: S-EPMC9352279 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature