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).

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.

Label-free SARS-CoV-2-detection with PICS and Phi Optics SLIM
Virus-particle classification using Phi Optics SLIM and AI: Phase Imaging with Computational Specificity (PICS)

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