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2 March 2022 Image-based single-cell biophysical phenotyping of SARS-CoV-2 infection by high-throughput quantitative phase imaging flow cytometry
Gwinky G. K. Yip, Alex W. H. Chin, Shobana V. Stassen, Michelle C. K. Lo, Rashmi Sreeramachandramurthy, Kelvin C. M. Lee, Kenneth K. Y. Wong, Leo L. M. Poon, Kevin K. Tsia
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Proceedings Volume PC11971, High-Speed Biomedical Imaging and Spectroscopy VII; PC119710N (2022) https://doi.org/10.1117/12.2609174
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
We report the use of high-throughput quantitative phase imaging (QPI) flow cytometry (based on multiplexed asymmetric-detection time-stretch optical microscopy (multi-ATOM)) to investigate biophysical profiles of single cells infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This technique reveals the subtle biophysical heterogeneity of SARS-CoV-2 infection under the same multiplicity of infection. Furthermore, analyzing the label-free high-dimensional single-cell biophysical profiles (derived from multi-ATOM images) based on an unsupervised trajectory inference algorithm accurately recovers the infection progression over time. This study could offer biophysical insight of cellular morphogenesis of SARS-CoV-2 and shows the potential of label-free morphological profiling as a complementary drug discovery strategy for SARS-CoV-2.
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Gwinky G. K. Yip, Alex W. H. Chin, Shobana V. Stassen, Michelle C. K. Lo, Rashmi Sreeramachandramurthy, Kelvin C. M. Lee, Kenneth K. Y. Wong, Leo L. M. Poon, and Kevin K. Tsia "Image-based single-cell biophysical phenotyping of SARS-CoV-2 infection by high-throughput quantitative phase imaging flow cytometry", Proc. SPIE PC11971, High-Speed Biomedical Imaging and Spectroscopy VII, PC119710N (2 March 2022); https://doi.org/10.1117/12.2609174
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KEYWORDS
Flow cytometry
Phase imaging
Proteins
Drug discovery
Image resolution
Luminescence
Multiplexing
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