Real Time Mixing Index Measurement of Microchannels Using OpenCV

  • KhuushiEmail author
  • Vanadana Jain
  • Rajendra Patrikar
  • Raghavendra Deshmukh
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 892)


One of the main figures of merit for quantification of microchannels is mixing index (MI). The main challenge is to calculate the MI in real time, which is needed for improvising the performance of microfluidic system. In this contrast, present work is demonstrated the real time MI calculation using open source computer vision (OpenV) image processing tool. The MI application (MI-App) is developed by using Qt software which provide simple and easy platform to the end user. All open source software is handled through the Raspberry Pi which makes our system low cost and portable. The approach present in this work will helpful in various bio-medical applications.


Mixing index Real-Time OpenCV Micro-channels Image processing 


  1. 1.
    Hashmi, A., Xu, J.: On the quantification of mixing in microfluidics. J. Lab. Autom. 19(5), 488–491 (2014)CrossRefGoogle Scholar
  2. 2.
    Lee, C.-Y., et al.: Microfluidic mixing: a review. Int. J. Mol. Sci. 12(5), 3263–3287 (2011)CrossRefGoogle Scholar
  3. 3.
    Nguyen, N.-T., Wu, Z.: Micromixersa review. J. Micromech. Microeng. 15(2), R1 (2004)CrossRefGoogle Scholar
  4. 4.
    Liu, R.H., et al.: Passive mixing in a three-dimensional serpentine microchannel. J. Microelectromech. Syst. 9(2), 190–197 (2000)CrossRefGoogle Scholar
  5. 5.
    Stroock, A.D., et al.: Chaotic mixer for microchannels. Science 295(5555), 647–651 (2002)CrossRefGoogle Scholar
  6. 6.
    Park, S.-J., et al.: Rapid three-dimensional passive rotation micromixer using the breakup process. J. Micromech. Microeng. 14(1), 6 (2003)CrossRefGoogle Scholar
  7. 7.
    Cha, J., et al.: A highly efficient 3D micromixer using soft PDMS bonding. J. Micromech. Microeng. 16(9), 1778 (2006)CrossRefGoogle Scholar
  8. 8.
    Saravanan, C.: Color image to grayscale image conversion. In: 2010 Second International Conference on Computer Engineering and Applications (ICCEA), vol. 2. IEEE (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Khuushi
    • 1
    Email author
  • Vanadana Jain
    • 1
  • Rajendra Patrikar
    • 1
  • Raghavendra Deshmukh
    • 1
  1. 1.Visvesvaraya National Institute of TechnologyNagpurIndia

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