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Related Experiment Video

Updated: Jul 3, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Real-time, automated, standardized, and transparent analysis of microfluidic nanoparticle data with RPSPASS.

Michelle L Pleet1,2, Sean Cook2, Bryce Killingsworth2

  • 1Viral Immunology Section, Neuroimmunology Branch, NINDS/NIH, Bethesda, MD, USA.

Biorxiv : the Preprint Server for Biology
|July 2, 2026
PubMed
Summary

Extracellular vesicles (EVs) are challenging to study due to their small size. A new software, RPSPASS, enhances microfluidic resistive pulse sensing (MRPS) for accurate, transparent, and high-throughput analysis of these critical nanoparticles.

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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Area of Science:

  • Biotechnology
  • Nanotechnology
  • Cell Biology

Background:

  • Extracellular vesicles (EVs) are crucial biomarkers but difficult to analyze due to their small size (<150 nm).
  • Existing detection technologies lack high-throughput single-particle measurement capabilities for accurate EV characterization.
  • Resistive pulse sensing (RPS) and microfluidic RPS (MRPS) offer potential but require improved accuracy and standardization.

Purpose of the Study:

  • To develop and assess a novel software application, RPSPASS, for enhanced microfluidic resistive pulse sensing (MRPS) analysis of nanoparticles.
  • To improve data accuracy, ergonomics, and reporting transparency in nanoparticle characterization using MRPS.
  • To provide automated features for cohort calibration, population gating, statistical analysis, and quality control plotting.

Main Methods:

  • Development of a post-acquisition analysis software application named RPSPASS.
  • Implementation of automated cohort calibration and population gating algorithms.
  • Integration of statistical output generation, QC plot creation, and standardized reporting templates.

Main Results:

  • RPSPASS facilitates automated, high-throughput single-particle measurements of nanoparticles, including extracellular vesicles.
  • The software enhances data accuracy, ergonomics, and reporting transparency for MRPS technology.
  • Standardized reporting and quality control features improve the reliability and reproducibility of nanoparticle characterization.

Conclusions:

  • RPSPASS significantly advances the capabilities of MRPS for accurate and transparent nanoparticle analysis.
  • The software addresses critical needs in extracellular vesicle research by enabling robust characterization.
  • RPSPASS promotes standardized reporting and quality control, crucial for advancing the field of nanoparticle detection.