Ms. Yumei Wu Profile

Yumei Wu

at Shantou Univ

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Proceedings Article | 19 December 2022 Poster + Paper

3D printed microfluidics-based droplet generation for single cell encapsulation and optical imaging

Zequan Lin, WenCong Zhang, Ting Liu, Shanhang Luo, YuMei Wu, Yeqian Liu, Yiya Qiu, Jing Song, Jiale Chen, Meiai Lin

Proceedings Volume 12320, 1232024 (2022) https://doi.org/10.1117/12.2644130

KEYWORDS: Microfluidics, 3D printing, Additive manufacturing, Minerals, Lithography, Optical imaging, Stereolithography, Satellites, Prototyping, Printing

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Droplet-based microfluidics has been demonstrated to offer the advantage of high precision control, high throughput, and material savings. Traditional fabrication methods of droplet generation involve soft lithography, molding, etching, and embossing process, relying on expensive equipment, tedious operations, and even requiring a cleanroom fabrication environment. Recently, 3D printing with the characteristics of low cost, easy reprinting, and well-achieved microstructure in three dimensions has been suggested as a promising technology to improve the fabrication of microfluidics. In this study, we combined 3D printing technology and microfluidics to design a microfluidic device that enables the continuous generation of droplets, which can be utilized to encapsulate single particles and cells. The digital model of the microfluidic device was designed and edited by software, and then uploaded to a stereolithography 3D printer with a resolution of 10 μm for printing. To verify the feasibility of the device to generate droplets, the mineral oil and water were used as the continuous phase and the dispersed phase, respectively. The diameters of droplets ranging from about 70 μm to 240 μm and the product rate about 1500/min can be achieved. The result of encapsulation probability of microspheres is around 55% with that of the single-microspheres about 30%, which verifies the ability of droplet device for encapsulating single particles. The droplet microfluidics is applied for cell imaging to monitor the cell viability for a long time. The result presents the viability changes from the living state to death of MDA-MB-231 breast cancer cells.

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