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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Fluorescence detection methods for microfluidic droplet platforms
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An optofluidic platform for cell-counting applications.

Meryem Beyza Avci1,2, S Deniz Yasar1,3, Arif E Cetin1

  • 1Izmir Biomedicine and Genome Center, Balcova, Izmir 35340, Turkey. arifengin.cetin@ibg.edu.tr.

Analytical Methods : Advancing Methods and Applications
|May 2, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an optofluidic cell-counting platform for accurate and rapid cell analysis. The new device scans over 2000 cells, improving accuracy and reducing costs for life sciences and medical applications.

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Area of Science:

  • Biotechnology
  • Medical Devices
  • Microfluidics

Background:

  • Manual cell counting using hemocytometry is low-cost but time-consuming and operator-dependent.
  • Existing automated cell counters improve throughput but have limited accuracy due to small sample sizes (100-200 cells) and high costs.
  • Current automated methods often require specific consumables and counting chambers, increasing overall expense.

Purpose of the Study:

  • To develop an advanced optofluidic cell-counting platform to overcome the limitations of manual and existing automated methods.
  • To enhance accuracy and throughput in cell counting applications across various scientific disciplines.
  • To provide a cost-effective and user-friendly solution for precise cell analysis.

Main Methods:

  • Development of an integrated optofluidic platform for automated cell imaging and analysis.
  • Implementation of a high-throughput scanning system capable of analyzing over 2000 cells per sample.
  • Incorporation of a built-in fluidic system for automated sample handling and self-cleaning functionalities.

Main Results:

  • Achieved high accuracy with error rates below 1% for cell viability and below 5% for cell concentration.
  • Demonstrated rapid analysis, delivering results in approximately one minute, including all processing steps.
  • Eliminated the need for external counting chambers, reducing costs and simplifying operation.

Conclusions:

  • The optofluidic platform offers a significant advancement in cell-counting technology, providing superior accuracy and speed.
  • The integrated design and automated features make it a versatile and cost-effective tool for diverse cell-counting needs.
  • This technology presents a critical asset for accurate, low-cost, and high-throughput cell analysis in research and clinical settings.