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Related Experiment Video

Updated: Nov 11, 2025

Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
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Compact and automated particle counting platform using smartphone-microscopy.

Shahrzad Talebian1, Mehdi Javanmard1

  • 1Department of Electrical and Computer Engineering, Rutgers University, New Jersey, USA.

Talanta
|March 28, 2021
PubMed
Summary
This summary is machine-generated.

A new smartphone-based cell counting platform offers an accessible solution for resource-limited settings. This portable technology accurately detects and counts particles, overcoming limitations of complex, expensive lab equipment.

Keywords:
MicrofluidicsParticle countingSmartphone-microscopy

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Area of Science:

  • Biomedical Engineering
  • Microfluidics
  • Point-of-Care Diagnostics

Background:

  • Advanced automated cell counters are typically complex, costly, and bulky, limiting their use to well-equipped laboratories.
  • Accessibility to advanced cell counting technology is a challenge in rural and developing regions due to the scarcity of specialized equipment.
  • The widespread adoption of mobile phones presents an opportunity for developing portable, user-friendly diagnostic tools.

Purpose of the Study:

  • To develop an automated, portable, and easy-to-use smartphone-based particle counting platform.
  • To provide a cost-effective and accessible cell counting solution for resource-limited environments.
  • To demonstrate the feasibility of leveraging smartphone technology for particle analysis.

Main Methods:

  • A novel pump-less, flow-based portable technology was developed.
  • A small lens attached to a smartphone camera magnifies particles in a microfluidic channel.
  • Captured videos are processed by a custom algorithm on a local computer for automated particle counting.

Main Results:

  • The platform accurately detects and counts polystyrene beads as small as 16.2 μm with ~100% accuracy.
  • Performance evaluation using various particle sizes showed results comparable to manual microscope-based counting.
  • The technology demonstrated high accuracy and reliability in particle detection and quantification.

Conclusions:

  • The developed smartphone-based platform offers a viable and accessible alternative for cell counting in diverse settings.
  • This technology has broad applicability in biological, biomedical, and industrial fields, especially in resource-limited areas.
  • The portable and user-friendly design facilitates widespread adoption and improved diagnostic capabilities.