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5 March 2021 Large-scale single-cell fractal analysis based on quantitative phase imaging
Ziqi Zhang, Queenie T. K. Lai, Kelvin C. M. Lee, Kenneth K. Y. Wong, Kevin K. Tsia
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Proceedings Volume 11654, High-Speed Biomedical Imaging and Spectroscopy VI; 116540P (2021) https://doi.org/10.1117/12.2583204
Event: SPIE BiOS, 2021, Online Only
Abstract
We report a large-scale light-scattering single-cell characterization enabled by a high-throughput quantitative phase imaging platform (multi-ATOM) (10,000 cells/sec). By virtue of its subcellular resolution, multi-ATOM accesses the light-scattering information from individual cells via Fourier Transform light scattering (FTLS) analysis. Specifically, we applied FTLS analysis on multi-ATOM images to explore the statistical characteristics of single-cell fractal dimension (FD). We demonstrated that FD can be harnessed as an effective label-free phenotype that is indicative of cell types and states. FD can identify the heterogeneity among leukemia/lung cancer cell types and trace the different phases in cell cycle progression.
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Ziqi Zhang, Queenie T. K. Lai, Kelvin C. M. Lee, Kenneth K. Y. Wong, and Kevin K. Tsia "Large-scale single-cell fractal analysis based on quantitative phase imaging", Proc. SPIE 11654, High-Speed Biomedical Imaging and Spectroscopy VI, 116540P (5 March 2021); https://doi.org/10.1117/12.2583204
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KEYWORDS
Fractal analysis
Phase imaging
Light scattering
Statistical analysis
Cancer
Fourier transforms
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