Check out the latest from the Chan Zuckerberg Biohub SF: The Remoscope - an affordable device that leverages edge compute AI for the rapid diagnosis of blood infections, in this case with malaria. This device can process and analyze approximately 2 million cells in 12 minutes, using only finger-prick amounts of blood, with no staining or fixation, and without an internet connection. Staining parasites followed by manual examination and counting with a microscope has been the gold standard for over 100 years. The Remoscope removes the need for time consuming processing of slides, as well as the inherent variability of human counters. As a malaria researcher, this has been a personal dream for decades. Importantly, the Remoscope detects live parasites, unlike PCR assays or lateral flow assays. In this paper, the Remoscope was deployed in the field for true head-to-head comparisons of performance. At its heart, the Remoscope is an imaging flow cytometer with built in AI image processing. As such, the Remoscope may be trained to recognize not just parasites, but other abnormalities in the blood, making it a versatile platform for interrogating blood samples without specialized reagents. Hats off to the amazing Bioengineering team at the CZ Biohub SF. Check out the paper here!
Read the paper here.