Programmable multi-source embedded control of Large-Scale Integrated microfluidic circuits with an application for real time flow rate modulation

Nissim Arfi, Elishai Ezra Tsur

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Integrated microfluidic circuits' applications range from microbiology to quantum physics. Here we propose a programmable microcontroller-mediated platform, able to control and automate Large-Scale Integrated (LSI) microfluidic circuits. Our platform supports local and remote control of flow and data acquisition. Demonstration includes regulation schemes of real-time flow modulation. We utilized Raspberry-Pi as a controller and developed a Java-based stand-alone software to control solenoid valves and pressure sources, as well as to parse text-based instruction sets. We used node.js to define an embedded web server to allow network capabilities and developed an Android application for mobile-based control. Messaging protocol includes broadcasting and verifications to allow synchronization among the control sources. The system can be rapidly extended to support additional pressure sources, control and flow lines, and microfluidic components. Our system offers a comprehensive solution for establishing automation protocols and perfusion sequences in integrated microfluidic circuits.

Original languageEnglish
Title of host publication2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages495-498
Number of pages4
ISBN (Electronic)9781509060870
DOIs
StatePublished - 7 Jun 2017
Externally publishedYes
Event3rd International Conference on Control, Automation and Robotics, ICCAR 2017 - Nagoya, Japan
Duration: 22 Apr 201724 Apr 2017

Publication series

Name2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017

Conference

Conference3rd International Conference on Control, Automation and Robotics, ICCAR 2017
Country/TerritoryJapan
CityNagoya
Period22/04/1724/04/17

Keywords

  • Fluid flow control
  • MEMS
  • Microfluidics
  • Multi-source control
  • Raspberry-Pi

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Optimization
  • Control and Systems Engineering

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