Accurate COVID detection using AI and Phi Optics SLIM

Researchers at Beckman Institute, the University of Illinois Urbana-Champaign, and the University of Illinois at Chicago published game-changing results about viral detection in the Nature Light: Science and Applications:

Goswami, N., He, Y.R., Deng, YH. et al. Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity. Light Sci Appl 10, 176 (2021). https://doi.org/10.1038/s41377-021-00620-8

3D tomograms of various viral particles detected by the study

The researchers measured various viral particles on glass slides using Phi Optics CellVista SLIM instrument and were able to identify SARS-CoV-2 vs. the other viruses with 96% accuracy in one minute. As Beckman Institute News reports, the test will move to clinical validation where subjects will transfer saliva droplets on a glass slide embedded in a face shield; the slide, and any particles attached to it, would be imaged and analyzed to detect any viruses present.