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

Long-Term Outcomes of Glucagon-Like Peptide-1 Receptor Agonists in Patients With Peripheral Artery Disease and Type 2 Diabetes.

Journal of the American Heart Association·2026
Same author

AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review.

Cardiovascular revascularization medicine : including molecular interventions·2026
Same author

Diagnostic Approach to Left Ventricular Hypertrophy: A Review.

US cardiology·2026
Same author

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis.

IEEE transactions on medical imaging·2026
Same author

High-χ Block Copolymer Nanoreactors for the Confined Synthesis of Size-Controlled Nanoclusters.

ACS nano·2026
Same author

Outcomes of TAVR Plus TEVAR Versus TAVR Alone in Patients with Concomitant Aortic Stenosis and Thoracic Aortic Aneurysm.

Heart, lung & circulation·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: May 21, 2025

Studying the Effects of Temperature on the Nucleation and Growth of Nanoparticles by Liquid-Cell Transmission Electron Microscopy
07:02

Studying the Effects of Temperature on the Nucleation and Growth of Nanoparticles by Liquid-Cell Transmission Electron Microscopy

Published on: February 17, 2021

4.0K

Automated image segmentation for accelerated nanoparticle characterization.

Alexandra L Day1, Carolin B Wahl2,3, Roberto Dos Reis2,3,4

  • 1Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208, USA.

Scientific Reports
|May 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an automated image processing pipeline for nanoparticle characterization. The new method significantly speeds up materials analysis by intelligently segmenting images and optimizing data collection for techniques like 4D-STEM.

More Related Videos

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
11:01

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes

Published on: August 24, 2021

2.6K
Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
09:30

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

Published on: May 24, 2019

7.3K

Related Experiment Videos

Last Updated: May 21, 2025

Studying the Effects of Temperature on the Nucleation and Growth of Nanoparticles by Liquid-Cell Transmission Electron Microscopy
07:02

Studying the Effects of Temperature on the Nucleation and Growth of Nanoparticles by Liquid-Cell Transmission Electron Microscopy

Published on: February 17, 2021

4.0K
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
11:01

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes

Published on: August 24, 2021

2.6K
Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
09:30

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

Published on: May 24, 2019

7.3K

Area of Science:

  • Materials Science
  • Nanotechnology
  • Data Science

Background:

  • High-throughput synthesis produces millions of nanoparticles on a chip.
  • Current nanoparticle characterization relies heavily on manual input.
  • Automating characterization is crucial for efficient materials analysis.

Purpose of the Study:

  • To develop an automated image processing pipeline for high-throughput nanoparticle characterization.
  • To optimize data acquisition for analytical scanning transmission electron microscopy (STEM) techniques.
  • To reduce human input and accelerate materials characterization workflows.

Main Methods:

  • Utilized computer vision and unsupervised learning for image segmentation and coordinate generation.
  • Developed an intelligent pipeline to remove image backgrounds and identify regions of interest.
  • Implemented automated coordinate generation for optimized data collection, avoiding uniform grid sampling.

Main Results:

  • Achieved a 96.0% success rate on over 900 nanoparticle images.
  • Demonstrated a 25.0 to 29.1-fold reduction in total processing time compared to established 4D-STEM acquisition.
  • Successfully validated the pipeline for techniques including 4D-STEM, electron energy loss spectroscopy (EELS), and energy-dispersive X-ray spectroscopy (EDS).

Conclusions:

  • The automated pipeline significantly accelerates materials characterization.
  • Intelligent segmentation and coordinate generation optimize data collection, reducing unnecessary data.
  • This approach enhances the efficiency of high-throughput nanoparticle analysis.