Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

PIGMENT: A deep learning framework for Porcine Immunohistochemistry seGMENTation.

bioRxiv : the preprint server for biology·2026
Same author

Mechanical deformation explains distinct neuroimaging patterns and etiologies in brain trauma.

NeuroImage·2026
Same author

Reversibly-sealable microfluidic platform for multi-molecule gradient delivery to large adherent cell cultures.

Biomedical microdevices·2026
Same author

Microglia modulate concussion biomarkers and cognitive recovery in male mice.

bioRxiv : the preprint server for biology·2026
Same author

Tropomyosin 1 Promotes Platelet Adhesion and Clot Contraction Separate from Its Roles in Developmental Hematopoiesis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Open-source robotic chip-to-plate interface for high-throughput microfluidic generation of materials libraries.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Sep 22, 2025

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
09:16

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

Published on: January 7, 2019

10.0K

Ultrasensitive Single Extracellular Vesicle Detection Using High Throughput Droplet Digital Enzyme-Linked

Zijian Yang1, Yasemin Atiyas2, Hanfei Shen2

  • 1Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

Nano Letters
|May 19, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a high-throughput droplet optofluidic platform for sensitive and specific quantification of individual extracellular vesicles (EVs). The novel system achieves unprecedented throughput, enabling detection of rare EV subpopulations for biomedical applications.

Keywords:
diagnosticsdigital assaysdroplet microfluidicsextracellular vesiclesmicrofluidicsparallelization

More Related Videos

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis
08:32

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

Published on: February 14, 2022

8.2K
Characterizing Extracellular Vesicles from Biological Fluids
05:07

Characterizing Extracellular Vesicles from Biological Fluids

Published on: February 28, 2025

541

Related Experiment Videos

Last Updated: Sep 22, 2025

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
09:16

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

Published on: January 7, 2019

10.0K
Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis
08:32

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

Published on: February 14, 2022

8.2K
Characterizing Extracellular Vesicles from Biological Fluids
05:07

Characterizing Extracellular Vesicles from Biological Fluids

Published on: February 28, 2025

541

Area of Science:

  • Biotechnology
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Extracellular vesicles (EVs) show promise for diagnostics and therapeutics.
  • Current methods struggle with sensitivity, specificity, and throughput for EV analysis.
  • Detecting rare EV subpopulations remains a significant challenge.

Purpose of the Study:

  • To develop a droplet-based optofluidic platform for high-throughput quantification of specific individual EV subpopulations.
  • To overcome limitations in sensitivity, specificity, and throughput in current EV detection methods.

Main Methods:

  • Development of a parallelized droplet generation, processing, and analysis optofluidic platform.
  • Achieved a throughput of approximately 20 million droplets per minute.
  • Demonstrated detection of human EVs in complex biological media.

Main Results:

  • Achieved a limit of detection of 9 EVs/μL, a >100-fold improvement over gold standards.
  • Enabled quantification of specific individual EV subpopulations at high throughput.
  • Demonstrated clinical potential through detection in complex media.

Conclusions:

  • The developed optofluidic platform significantly enhances EV quantification capabilities.
  • This technology offers a >100x improvement in throughput and sensitivity for EV detection.
  • The platform holds potential for accurate quantification of rare EV subpopulations in diverse biomedical applications.