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Light scattering imaging is a promising label-free technique for its sensitivity to the size and structure of both homogeneous and heterogeneous samples. This study explores the refractive index sensitivity of light scattering imaging to differentiate polystyrene and silica microparticles. Here, we use a light scattering imaging system to get the side scattering images of single microparticles. The obtained images are in good agreement with Mie theory simulation results. We demonstrate that light scattering could provide a high-sensitive image with a 0.2 difference in the refractive index within a small angular range (79º - 101º). This sensitivity is further validated by analyzing image datasets of polystyrene and silica microparticles based on the scattered far-field components at a positive defocusing distance. Our findings reveal that the ratio between the intensity and prominence of the side lobes is a potential marker for refractive index differences of the microparticles. There is a significant difference between each of the two types of polystyrene (3.87 μm and 4.19 μm, mean diameters) and the silica microparticles (3.93 μm, mean diameter) in the scattered field properties. This capability of light scattering imaging for refractive index differentiation could provide insights into the internal structure of heterogeneous samples, such as label-free single cells.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Faihaa Mohammed Eltigani,Nebras Ahmed Mohamed, andXuantao Su
"Refractive index-based microparticle differentiation by light scattering imaging", Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 127701N (27 November 2023); https://doi.org/10.1117/12.2685879
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Faihaa Mohammed Eltigani, Nebras Ahmed Mohamed, Xuantao Su, "Refractive index-based microparticle differentiation by light scattering imaging," Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 127701N (27 November 2023); https://doi.org/10.1117/12.2685879