Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis | Zendy

Tadayoshi Aoyama | Zendy; Amalka De Zoysa | Zendy; Qingyi Gu | Zendy; Takeshi Takaki | Zendy; Idaku Ishii | Zendy

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Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis

Author(s) -

Tadayoshi Aoyama,

Amalka De Zoysa,

Qingyi Gu,

Takeshi Takaki,

Idaku Ishii

Publication year - 2016

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2016.p0854

Subject(s) - microfluidics , microtechnology , microparticle , syringe driver , flow control (data) , sorting , volumetric flow rate , microchannel , computer science , lab on a chip , chip , flow (mathematics) , flow focusing , simulation , nanotechnology , materials science , engineering , syringe , mechanical engineering , mechanics , computer network , telecommunications , physics , chemical engineering , programming language

[abstFig src='/00280006/09.jpg' width='300' text='Snapshots of particle sorting experiment using our system' ] On-chip cell analysis is an important issue for microtechnology research, and microfluidic devices are frequently used in on-chip cell analysis systems. One approach to controlling the fluid flow in microfluidic devices for cell analysis is to use a suitable pumps. However, it is difficult to control the actual flow-rate in a microfluidic device because of the difficulty in placing flow-rate sensors in the device. In this study, we developed a real-time flow-rate control system that uses syringe pumps and high-speed vision to measure the actual fluid flow in microfluidic devices. The developed flow-rate control system was verified through experiments on microparticle velocity control and microparticle sorting.

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