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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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In Situ Flow Cytometer Calibration and Single-Molecule Resolution via Quantum Measurement.

Javier Sabines-Chesterking1,2, Ivan A Burenkov1,2, Sergey V Polyakov2,3

  • 1Joint Quantum Institute, University of Maryland, College Park, MD 20742, USA.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a quantum measurement framework for flow cytometry, enabling accurate detection of rare fluorescent biomarkers. This method enhances rare-event detection for applications like early disease diagnostics.

Keywords:
flow cytometrysingle-moleculesingle-photon sources

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Area of Science:

  • Biomedical Engineering
  • Quantum Optics
  • Analytical Chemistry

Background:

  • Flow cytometry is crucial for analyzing cell populations using fluorescent biomarkers.
  • Detecting trace amounts of biomarkers in flow cytometry presents significant challenges.
  • Current methods struggle with sensitivity for rare events.

Purpose of the Study:

  • To develop a framework for establishing a detection baseline for single emitters in flow cytometry.
  • To enable absolute calibration of flow cytometers using quantum measurements.
  • To improve the detection accuracy of rare fluorescent biomarkers.

Main Methods:

  • Utilized single-photon detection techniques.
  • Measured the second-order autocorrelation function of fluorescent light.
  • Computed the success rate of rare-event detection across various signal-to-noise ratios (SNR).

Main Results:

  • Demonstrated high-accuracy identification of events with occurrence rates below 10^-5.
  • Achieved reliable detection even at modest signal-to-noise ratios.
  • Established a robust baseline for detecting single emitters.

Conclusions:

  • The proposed quantum measurement framework significantly enhances flow cytometer sensitivity.
  • This approach enables reliable detection of rare biomarkers, crucial for diagnostics.
  • The method supports early disease diagnostics and post-disease monitoring through improved biomarker detection.