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Related Experiment Video

Updated: Nov 4, 2025

A High-Throughput Platform for Culture and 3D Imaging of Organoids
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3D printed imaging platform for portable cell counting.

Diwakar M Awate1, Cicero C Pola1, Erica Shumaker1

  • 1Department of Mechanical Engineering, Iowa State University, 2529 Union Drive, Ames, IA 50011, USA. jjuarez@iastate.edu.

The Analyst
|May 26, 2021
PubMed
Summary
This summary is machine-generated.

A new 3D-printed imaging platform (3DPIP) offers affordable particle counting and fluorescence microscopy for point-of-care diagnostics. This low-cost device achieves accuracy comparable to commercial instruments, enhancing accessibility in resource-limited settings.

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Area of Science:

  • Biomedical Engineering
  • Microfluidics
  • Optical Imaging

Background:

  • Flow cytometry is crucial in biomedical sciences but limited in resource-limited settings due to cost and complexity.
  • 3D printing offers a cost-effective solution for developing accessible point-of-care (POC) diagnostic devices.

Purpose of the Study:

  • To introduce a 3D-printed imaging platform (3DPIP) for particle counting and fluorescence microscopy.
  • To develop an affordable and accessible alternative to traditional flow cytometers for POC diagnostics.

Main Methods:

  • Developed a 3D-printed imaging platform (3DPIP) with custom particle counter code utilizing machine vision algorithms.
  • Evaluated performance by counting polystyrene particles and comparing with a commercial particle counter.
  • Assessed static imaging capabilities for cell counting, comparable to plate readers.

Main Results:

  • The 3DPIP accurately counts particles down to ~100 particles/mL, comparable to commercial instruments.
  • Accurate flow-through measurements achieved at flow rates up to 9 mL/h for concentrations below 1000 particles/mL.
  • Static imaging successfully counted bacteria samples (10-250 cells/image).

Conclusions:

  • The 3DPIP demonstrates a viable, low-cost approach for particle analysis in resource-limited environments.
  • This platform is a significant step towards developing fully 3D-printable, affordable imaging flow cytometry for clinical use.