Mr. Zhuo Wang Profile

Zhuo Wang

at Shandong Univ.

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Publications (2)

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Proceedings Article | 12 March 2024 Paper

Label-free light scattering imaging of nanoscale small extracellular vesicles

Faihaa Mohammed Eltigani, Zhuo Wang, Qiao Liu, Shuanglian Wang, Xuantao Su

Proceedings Volume 12846, 1284605 (2024) https://doi.org/10.1117/12.3001048

KEYWORDS: Light scattering, Nanoparticles, Quantitative analysis, Inverse scattering problem, Deep learning, Biomedical optics, Analytical research, Liver cancer

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Small extracellular vesicles (sEVs), which are nanoparticles around 100 nm, have been widely studied in recent years in many interesting areas, such as cancer detection and drug delivery. Bulk analysis of extracellular vesicles provides average information about the EV population. However, single EV characterization enables a profound understanding of the biophysical properties of EV subpopulations, establishing an insightful view of the EVs function and composition. It is worth to explore light scattering imaging method for the analysis of single sEVs. We introduce here the deep-learning-based light scattering imaging method for analyzing label-free sEVs (DeepEVAnalyzer), which has been applied to measure the size of single sEVs. We also report our recent development of a light scattering imaging method to address the inverse problem, which is demonstrated to differentiate the label-free sEVs from healthy mice and those injected with malignant cells. Light scattering imaging together with machine learning for sEVs analysis may have potential diagnostic and therapeutic applications.

Proceedings Article | 1 November 2021 Paper

Detection of microparticles in flow by 2D light scattering and fluorescence imaging

Xin Qi, Zhuo Wang, Xuantao Su

Proceedings Volume 12057, 120573J (2021) https://doi.org/10.1117/12.2606539

KEYWORDS: Light scattering, Particles, Mie scattering, Microfluidics, Sensors, Medical research

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The in-flow detection of microparticles is of great importance in biomedical fields. Previous studies have shown that twodimensional (2D) light scattering technology has the capability to detect and differentiate unlabeled cells, while fluorescence imaging can be used as a specific cytological detection method. Here, we built a system to acquire simultaneously the 2D light scattering patterns and fluorescence images of single microparticles in flow. A 488 nm laser beam was reshaped into a light sheet by a cylindrical lens, which was used to excite the microparticles in a microfluidic tube. The 2D light scattering and fluorescence signals were collected by a 10x objective lens through a 505 nm dichroic beam splitter, and they were simultaneously acquired by dual complementary metal oxide semiconductor (CMOS) detectors. Our system acquired the 2D light scattering patterns and fluorescence images of single microparticles from a mixture (2 μm fluorescent particles, 2 μm and 3.87 μm non-fluorescent particles) in flow. Based on the 2D light scattering patterns and the fluorescence images, the number and the ratio of mixed microparticles can be determined. Moreover, the label-free microparticle size differentiation can also be achieved with the 2D light scattering patterns. The detection of microparticles in flow that combines label-free 2D light scattering technology and fluorescence imaging may find potential applications for single cell analysis.

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