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Summary
This summary is machine-generated.

This study introduces a novel coding method for resistive pulse sensing to improve particle size analysis. The technique resolves simultaneous particle detections, enhancing data accuracy and device throughput.

Keywords:
Barker CodesCoincidence CorrectionCoulter counterInverse ProblemsSuccessive Interference Cancellation

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Area of Science:

  • Biophysics
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Resistive pulse sensing (RPS) measures particle concentration and size distribution in fluids.
  • Current RPS methods face limitations in dynamic range due to channel dimensions and coincidence events (multiple particles simultaneously).
  • Discarding coincidence data reduces throughput and introduces errors in particle size distributions.

Purpose of the Study:

  • To develop a method to resolve coincidence events in RPS.
  • To enhance the dynamic range and accuracy of particle sizing in RPS.
  • To overcome limitations of current resistive pulse sensing techniques.

Main Methods:

  • Channel coding to generate a Manchester-encoded Barker-Code sequence for system response.
  • Formulating particle parameter estimation as a sparse inverse problem.
  • Employing a successive interference cancellation algorithm to resolve coincidences and estimate particle size and velocity.
  • Modifying the algorithm for device variations and flow stochasticity.

Main Results:

  • Demonstrated ability to resolve coincidence events in resistive pulse sensing.
  • Successfully screened particles of different sizes through a Barker-encoded device.
  • Indicated a potential increase in the device's dynamic range for particle detection.

Conclusions:

  • The proposed Barker-coded RPS method effectively resolves coincidence events.
  • This approach enhances data accuracy and throughput by utilizing previously discarded coincidence data.
  • The technique offers a pathway to significantly improve the dynamic range and reliability of particle analysis using resistive pulse sensing.