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Since the introduction of Giemsa stain in 1904 until today, malaria microscopy has been the standard of practice for malaria diagnosis. However, microscopic detection of malaria parasites is labour-intensive, time-consuming and expertise-demanding. Moreover, the slide interpretation is highly dependent on the staining technique and the technician's expertise.
To address these, multiple organisations have developed next generation microscopes to move towards a next generation microscope that can improve slide preparation, interpretation or data collection, or a combination of these features.
In this study, a prospective evaluation of miLab™ and other next generation automated microscope solutions as well as a malaria rapid diagnostic test (RDT) reader app will be performed in malaria-endemic countries to assess their clinical performance for detection of malaria clinical cases at POC.
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190 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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