Real-time 4D tracking of airborne virus-laden droplets and aerosols

被引:0
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作者
Devendra Pal
Marc Amyot
Chen Liang
Parisa A. Ariya
机构
[1] McGill University,Department of Atmospheric and Oceanic Sciences
[2] Complexe des Sciences,Department of Biological Sciences, Univerité de Montréal
[3] McGill University and Jewish General Hospital,Department of Medicine, Division of Experimental Medicine
[4] McGill University,Department of Chemistry
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10.1038/s44172-023-00088-x
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摘要
There is currently no real-time airborne virus tracking method, hindering the understanding of rapid virus changes and associated health impacts. Nano-digital in-line holographic microscopy (Nano-DIHM) is a lensless technology that can directly obtain the interference patterns of objects by recording the scattered light information originating from the objects. Here, we provide evidence for real-time physicochemical tracking of virus-laden droplets and aerosols in the air using desktop label-free Nano-DIHM. The virus interference patterns, as single and ensemble particles, were imaged by the Nano-DIHM with 32.5 ms resolution. The next-generation Stingray and Octopus software was used to automate object detection, characterization and classification from the recorded holograms. The detection system was demonstrated to detect active MS2 bacteriophages, inactivated SARS-CoV-2 and RNA fragments, and an MS2 mixture with metallic and organic compounds. This work demonstrates the feasibility of using Nano-DIHM to provide rapid virus detection to improve transmission management in real time.
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