ArticleBiomedical optics express2022
Automated wide-field malaria parasite infection detection using Fourier ptychography on stain-free thin-smears.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- High-throughput marker-free screening of cytoplasmic vacuoles in adherent cells via Fourier ptychographic microscopy.Biomedical optics express · 2025Article
- Fourier ptychography microscopy for digital pathology.Journal of microscopy · 2025Review
- Application of image recognition technology in pathological diagnosis of blood smears.Clinical and experimental medicine · 2024Review
- Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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 or uninfected before training the models, we make use of a
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