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A computer vision based optical method for measuring fluid level in cell culture plates.

Pierre V Baudin1,2, Mircea Teodorescu1,2

  • 1Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America.

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A novel sensing device uses light magnification to measure fluid volume in transparent wells. This 3D printable system, employing computer vision, offers a simple method for fluid level sensing.

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Area of Science:

  • Optical sensing
  • Fluid dynamics
  • Computer vision

Background:

  • Fluid level monitoring is crucial in various scientific and industrial applications.
  • Traditional methods can be complex or expensive.
  • A non-contact, optical method for fluid volume measurement is desirable.

Purpose of the Study:

  • To develop a low-cost, 3D printable sensing device for measuring fluid volume.
  • To leverage the principle of light magnification due to fluid level changes.
  • To integrate computer vision for accurate measurement.

Main Methods:

  • Utilized the predictable change in magnification of an overhead light source with fluid level.
  • Employed computer vision contour analysis with OpenCV for magnification measurement.
  • Designed and implemented a 3D printable sensing device with a Raspberry Pi Zero and camera.

Main Results:

  • Demonstrated a calculable relationship between fluid volume and light source magnification.
  • Successfully measured magnification changes using camera and OpenCV.
  • Developed a functional 3D printable sensing device.

Conclusions:

  • The developed device offers a viable, low-cost solution for fluid volume sensing.
  • The principle of light magnification provides a reliable basis for fluid level detection.
  • 3D printing and Raspberry Pi integration enable accessible sensor design.