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10 March 2020 Characterizing the refractive index auto-correlation function from whole cells using interferometric microscopy (Conference Presentation)
Aya Eid, Vadim Backman, Allen Taflove, Adam Eshein, Yue Li, Ranya Virk
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Proceedings Volume 11253, Biomedical Applications of Light Scattering X; 112530G (2020) https://doi.org/10.1117/12.2545053
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
The hyperspectral, interferometric microscopy technique, PWS has demonstrated the ability to measure variance in the nanoscale refractive index (Σ) of chromatin – the macromolecular assembly containing most of a cell’s genetic material. However, the question arises: how does Σ relate to the physical distribution of mass in chromatin, and specifically the organization of chromatin packing. We developed an analytical framework to relate Σ to the mass-density autocorrelation function – which can fully describe the distribution of mass and is characterized by D. This relationship was validated numerically using the rigorous modelling technique FDTD and experimentally with PWS and Chromatin Electron Microscopy (ChromEM).
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Aya Eid, Vadim Backman, Allen Taflove, Adam Eshein, Yue Li, and Ranya Virk "Characterizing the refractive index auto-correlation function from whole cells using interferometric microscopy (Conference Presentation)", Proc. SPIE 11253, Biomedical Applications of Light Scattering X, 112530G (10 March 2020); https://doi.org/10.1117/12.2545053
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KEYWORDS
Finite-difference time-domain method
Blood
Capillaries
Oxygen
Modeling
Optical coherence tomography
Scattering
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