FIGURE 1.

Schematic of the embedded deep learning based on-site malaria diagnosis. (A) The miLab™ device not only automates the process (automated blood staining without liquid handling and autofocused digital images) of malaria diagnosis through microscopic analysis but also incorporates deep learning algorithm directly into the device for on-site review. (B) A web-based software allows experts to access the digital images for remotely reviewing the result through the internet. (C) Photograph of the result page in miLab™ for Plasmodium falciparum (P. falciparum) positive patient specimens. Users can review and confirm the results in the miLab™ for sample-to-answer, on-site malaria diagnosis. (D) Photograph of the screen shot of the result page from the same patient specimens on the web-based software, accessing remotely digital images and raw data from miLab™. Other experts can remotely review and confirm the same results from miLab™.