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Quantitative generation of microfluidic flow by using optically driven microspheres.
Hu, Song Yu; Hu, Rui Feng; Tang, Li Ping; Jiang, Wei Wei; Deng, Bang Lin.
Afiliación
  • Hu SY; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.
  • Hu RF; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  • Tang LP; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.
  • Jiang WW; College of Computer Science < Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Deng BL; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.
Math Biosci Eng ; 16(6): 6696-6707, 2019 07 24.
Article en En | MEDLINE | ID: mdl-31698583
Microfluidic flow generation plays a fundamental role in microfluidic systems and shows potential for applications in basic biology and clinical medicine. In this study, an enabling technology is proposed to quantitatively generate microfluid flow through the automatic movement of a microsphere in liquid by using optical tweezers. A closed-loop control strategy with visual servoing feedback is introduced to achieve high precision and robustness. The theoretical solution of the generated microfluid is obtained on the basis of Stokes equations. An experimental method is proposed, and experiments are performed to verify the effectiveness of our approach. This method does not impose any dedicated fabrication of microtool, and the microfluidic flow can be dexterously adjusted by controlling the direction, speed, and distance of the microsphere from a target location. To the best of our knowledge, this is the first demonstration of optically actuating liquids through the translational movement of microspheres with closed-loop control. The proposed method will be useful in various biomedical applications needing quantitative, precise and controllable localized microfluid.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos