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Advancing Cancer Diagnostics: Technologies for Quantifying the Particle Concentration of Extracellular Vesicles in
Gisela Ströhle1, Manjusri Misra1,2, Huiyan Li1
1College of Engineering, University of Guelph, Guelph, Canada.
Advanced Healthcare Materials
|November 18, 2025
Summary
Extracellular vesicles (EVs) are key in cancer biology for early detection. Measuring EV particle concentration offers a promising, non-invasive diagnostic approach, but current methods need improvement for clinical use.
Area of Science:
- Oncology
- Biotechnology
- Nanomedicine
Background:
- Extracellular vesicles (EVs) are crucial mediators in cancer biology, reflecting their parent cells' molecular profiles.
- Increased EV release by tumor cells makes their particle concentration a potential biomarker for cancer diagnostics.
- Current EV quantification methods face challenges due to EV size, heterogeneity, and complex properties.
Purpose of the Study:
- To comprehensively evaluate the latest technological advancements in quantifying extracellular vesicle (EV) particle concentration.
- To highlight the principles, benefits, and limitations of current EV quantification strategies.
- To identify key challenges and drive innovation in EV-based cancer diagnostics.
Main Methods:
- Review of state-of-the-art assays for EV quantification.
- Analysis of strategies leveraging EV size, optical properties, and surface protein markers.
- Evaluation of technological advances in measuring EV particle concentration.
Main Results:
- Current EV quantification methods are limited by EV nanoscale size, heterogeneity, and physicochemical properties.
- Emerging strategies exploit EV size, optical properties, and surface markers for improved detection.
- Significant progress has been made in developing advanced EV quantification technologies.
Conclusions:
- Accurate, scalable, and clinically adaptable EV particle quantification platforms are essential for next-generation non-invasive cancer diagnostics.
- This review serves as a resource for researchers to accelerate the clinical translation of EV-based technologies.
- Advancements in EV quantification promise to transform early cancer detection and disease monitoring.

