Holographic Imaging Technique Diagnoses Malaria Automatically, Accurately

A quantitative phase spectroscopy (QPS) system that incorporates digital holography has been used to spot malaria-infected cells from a simple, untouched blood sample without any help from a human. The technique employs machine learning algorithms and has been shown accurate in detecting malaria infection 97 to 100 percent of the time. The research could form the basis of a fast, reliable test for malaria that could be given by most anyone, anywhere in the field.

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