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MOESM4 of Infrared spectroscopy coupled to cloud-based data management as a tool to diagnose malaria: a pilot study in a malaria-endemic country

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posted on 2019-10-17, 05:00 authored by Philip Heraud, Patutong Chatchawal, Molin Wongwattanakul, Patcharaporn Tippayawat, Christian Doerig, Patcharee Jearanaikoon, David Perez-Guaita, Bayden Wood
Additional file 4: Table S1. Primers and probes of 18s rRNA malaria parasites according to Perandin et al. [17]. Table S2. Parameters of the QCs independents of the model used on this study. NOTE. SD: Standard deviation. Table S3. summarizing the comparison of malaria diagnosis by light microscopy and serological RDT against the gold standard real time-PCR analysis (a). Diagnostic sensitivity and specificity of RDT (b) and light microscopy (c) were calculated.

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Australian Research Council

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    Malaria Journal

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    Malaria diagnosisInfrared spectroscopyCloud based diagnosticsPlasmodium

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