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μdroPi: A Hand-Held Microfluidic Droplet Imager and Analyzer Built on Raspberry Pi

  • Meng Sun [1] ; Zhengda Li [1] ; Qiong Yang [1]
    1. [1] University of Michigan–Ann Arbor

      University of Michigan–Ann Arbor

      City of Ann Arbor, Estados Unidos

  • Localización: Journal of chemical education, ISSN 0021-9584, Vol. 96, Nº 6, 2019, págs. 1152-1156
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • We built a low-cost and hand-held device to image and analyze microfluidic droplets mainly for educational/teaching purposes in laboratory settings of universities. The device was assembled based on a Raspberry Pi with a camera attached on the back and an LCD screen on the top. We evaluated the performance of this device to capture images and videos to visualize high-throughput droplet generation in a microfluidic device. The qualities of imaging resolution and speed were sufficient for us to perform subsequent droplet analysis quantitatively through automatic image possessing. Droplet characteristics including droplet size, volume, and dispersity, as well as droplet intensity, have been measured, showing the potential of this device to analyze droplet-based assays. Most importantly, in addition to learning the knowledge and principles from classroom lectures, students can thus gain practice of using an advanced, state-of-the-art technology in a laboratory course. It will also open up opportunities to train students with skills of interdisciplinary thinking and learning.


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