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5 March 2021 Single virus detection using phase imaging with computational specificity (PICS)
Neha Goswami, Yuchen R. He, Yu-Heng Deng, Chamteut Oh, Nahil Sobh, Enrique Valera, Rashid Bashir, Nahed Ismail, Hyun J. Kong, Thanh H. Nguyen, Catherine Best-Popescu, Gabriel Popescu
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Proceedings Volume 11653, Quantitative Phase Imaging VII; 1165313 (2021) https://doi.org/10.1117/12.2584450
Event: SPIE BiOS, 2021, Online Only
Abstract
In this study, we use phase imaging with computational specificity (PICS) to detect single Adenovirus and SARS-CoV2 particles. These viruses are sub-diffraction particles, with maximum diameter of approximately 120nm, which implies that we cannot fully visualize their internal structure. However, due to the very high spatial sensitivity of SLIM (0.3 nm pathlength), we can detect and localize individual viruses and, furthermore, using deep learning, classify them with high accuracy.
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Neha Goswami, Yuchen R. He, Yu-Heng Deng, Chamteut Oh, Nahil Sobh, Enrique Valera, Rashid Bashir, Nahed Ismail, Hyun J. Kong, Thanh H. Nguyen, Catherine Best-Popescu, and Gabriel Popescu "Single virus detection using phase imaging with computational specificity (PICS)", Proc. SPIE 11653, Quantitative Phase Imaging VII, 1165313 (5 March 2021); https://doi.org/10.1117/12.2584450
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KEYWORDS
Microscopy
Phase imaging
Photonic integrated circuits
Viruses
Machine learning
Artificial intelligence
Image classification
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