Related Experiment Video
Updated: Jun 8, 2025

08:32
Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis
Published on: February 14, 2022
7.6K
Evaluation of extracellular vesicle aggregation by single vesicle analysis
Johan Yi1, Suyeon Kim2, Chungmin Han2,3
1Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, the Republic of Korea. jpark@postech.ac.kr.
The Analyst
|November 5, 2024
Summary
This study introduces a new method, single vesicle analysis (SVA), to quantify extracellular vesicle (EV) aggregation. This technique helps understand how EV aggregation impacts their function and how to control it.
Area of Science:
- Biotechnology
- Cell Biology
- Nanotechnology
Background:
- Extracellular vesicles (EVs) are crucial for intercellular communication.
- EV aggregation significantly impacts their biological functions and therapeutic potential.
- Current methods for assessing EV aggregation are limited.
Purpose of the Study:
- To develop and validate a quantitative method for assessing EV aggregation.
- To investigate factors influencing EV aggregation, including isolation and storage.
- To evaluate the effectiveness of EV aggregate removal techniques.
Main Methods:
- Utilized total internal reflection fluorescence microscopy (TIRFm) for single vesicle analysis (SVA).
- Employed two-colored fluorescently labeled EVs to distinguish aggregated from non-aggregated particles.
- Calculated an aggregation ratio based on fluorescence signal colocalization.
Main Results:
- The SVA method accurately quantifies EV aggregation.
- Isolation methods, storage conditions, and biochemical factors (salt, pH, antibodies) affect EV aggregation.
- Significant variability exists in the efficacy of different aggregate removal methods.
Conclusions:
- SVA provides a robust platform for characterizing EV aggregation dynamics.
- Understanding EV aggregation is critical for reliable EV-based diagnostics and therapeutics.
- This approach may establish a new standard for EV characterization.

