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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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A Flow Cytometry-Based Cell Surface Protein Binding Assay for Assessing Selectivity and Specificity of an Anticancer Aptamer
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An aptamer-based magnetic flow cytometer using matched filtering.

Chih-Cheng Huang1, Partha Ray2, Matthew Chan3

  • 1Materials Science and Engineering Program, University of California - San Diego, La Jolla, CA, 92093, USA.

Biosensors & Bioelectronics
|September 10, 2020
PubMed
Summary
This summary is machine-generated.

A novel giant magnetoresistive spin-valve (GMR SV) biosensor array enables rapid, accurate point-of-care (PoC) detection of cancer cells. This magnetic flow cytometry system enhances noncommunicable disease diagnostics.

Keywords:
AptasensorFlow cytometryMagnetic biosensorMatched filteringPancreatic cancerPoint-of-Care (PoC) testing

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Medical Diagnostics

Background:

  • Noncommunicable diseases (NCDs) management requires advanced point-of-care (PoC) testing due to global population-ageing.
  • Magnetic flow cytometry offers a promising avenue for rapid cellular detection in PoC settings, particularly for cancer diagnostics.

Purpose of the Study:

  • To develop and validate a giant magnetoresistive spin-valve (GMR SV) biosensor array for enhanced accuracy and throughput in cellular detection.
  • To enable multi-parametric measurements comparable to optical flow cytometry (FCM) for PoC applications.

Main Methods:

  • Utilized a GMR SV biosensor array with multi-stripe sensor geometry and matched filtering for improved signal-to-noise ratio (SNR).
  • Employed magnetic nanoparticles (MNPs) for cell labeling and a biomimetic model using polymer microspheres for system calibration.
  • Evaluated detection efficiency and counting accuracy against optical observation and for aptamer-based pancreatic cancer cell detection.

Main Results:

  • Achieved enumeration and multi-parametric measurements across a wide throughput range (37-2730 cells/min).
  • Demonstrated high detection efficiency (92%) and counting accuracy (95% for biomimetic models, 98% for cancer cells) with low SNR detection (2.5 dB).
  • The matched filtering processing gain significantly improved detection capabilities.

Conclusions:

  • The developed GMR SV biosensor array provides reliable flow cytometry capabilities for PoC diagnostics.
  • This technology can significantly benefit noncommunicable disease control plans by enabling faster and more accurate diagnoses.
  • The system's performance highlights its potential for widespread adoption in clinical settings.