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Updated: Oct 16, 2025

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
Published on: March 28, 2021
A standarized protocol for evaluation of large extracellular vesicles using the attune™ NXT system
Leslie Marisol Lugo-Gavidia1, Dylan Burger2, Erika Bosio3
1Dobney Hypertension Centre, Medical School - Royal Perth Hospital Unit, Medical Research Foundation, The University of Western Australia, Perth, Australia.
Standardized flow cytometry methods are crucial for characterizing extracellular vesicles (EVs) as biomarkers. This study presents a standardized approach for evaluating large EVs using the Attune™ Nxt Acoustic Focusing Flow Cytometer system.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Cell Biology
Background:
- Extracellular vesicles (EVs) are significant biomarkers in various medical fields.
- Flow cytometry (FC) is a key technique for EV characterization, offering quantitative data and subtype determination.
- Standardized methods for EV evaluation are lacking, hindering cross-center comparability.
Purpose of the Study:
- To present a standardized method for evaluating large extracellular vesicles (EVs).
- To address the challenges in EV characterization due to size limitations and lack of standardization.
- To optimize flow cytometry for sensitive EV detection.
Main Methods:
- Utilized the Attune™ Nxt Acoustic Focusing Flow Cytometer system.
- Developed and applied a standardized protocol for large EV evaluation.
- Focused on instrument-specific sensitivity optimization for flow cytometry.
Main Results:
- Demonstrated a standardized method for evaluating large EVs.
- Highlighted the importance of optimization for detecting small particles like EVs.
- Provided a reproducible approach for EV analysis using specific flow cytometry instrumentation.
Conclusions:
- A standardized flow cytometry method enables reliable characterization of large EVs.
- The Attune™ Nxt system offers a viable platform for sensitive EV analysis.
- Standardization is essential for advancing the use of EVs as clinical biomarkers.
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