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Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Published on: March 28, 2021

Nanoparticle vesicle encoding for imaging and tracking cell populations.

Paul Rees¹, John W Wills², M Rowan Brown²

¹1] Centre for Nanohealth, School of Engineering, Swansea University, Swansea, UK. [2] Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

|September 15, 2014

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This summary is machine-generated.

Researchers developed a novel cell tracking method using unique fluorescent nanoparticle codes. This technique enables high-throughput, long-term observation of individual cell behavior within populations.

Area of Science:

Cell biology
Microscopy
Biotechnology

Background:

Understanding cell lineage and local environment requires measuring individual cell properties relative to population traits.
High-throughput microscopy has been limited in its ability to accurately identify, track, and measure thousands of single cells for dynamic population studies.

Purpose of the Study:

To develop a novel method for unique cell labeling and tracking using fluorescent nanoparticles.
To enable high-throughput, dynamic studies of cell populations by overcoming limitations in single-cell measurement.

Main Methods:

Utilized heterogeneous random uptake of fluorescent nanoparticles with different emission colors for unique cell labeling.
Sequentially exposed cell populations to different particles to generate unique digital codes based on nanoparticle-loaded vesicles.

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Last Updated: Apr 23, 2026

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

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Published on: March 28, 2021

Viral Nanoparticles for In vivo Tumor Imaging

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Harmonic Nanoparticles for Regenerative Research

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Employed fluorescence microscopy to identify and track individual cell codes.

Main Results:

Generated a large number of unique digital codes (over 17,000 with three colors) identifiable via standard fluorescence microscopy.
Achieved immediate visualization of cell identity and successful tracking of human cells with a 78% success rate over 8-hour intervals.

Conclusions:

The developed nanoparticle-based color-coding assay provides a powerful tool for high-throughput single-cell identification and tracking.
This method facilitates dynamic studies of cell populations, offering insights into cell lineage and behavior within their local environment.