Institute of Endemic Diseases, Medical Campus
Khartoum, Sudan
NCT Number: NCT04558515
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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Notify Me5 year and older
All sexes
Observational
Khartoum, Sudan
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Next generation microscopy tools for malaria diagnosis and medical applications
Time frame: up to 6 months
Point estimates of clinical performance characteristics with 95% confidence intervals (sensitivity, specificity) of next generation microscopy tools using nPCR as the reference test for the detection of malaria clinical cases
Time frame: up to 6 months
Point estimate with 95% confidence intervals of the percentage agreement in interpreting malaria diagnostics between the app and visual reading
Foundation for Innovative New Diagnostics, Switzerland
Other
Clinical Evaluation of Automated Microscope Solutions for Malaria Diagnosis
Acronym: AutoMic
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