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 Experiment Video

Updated: May 10, 2026

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

A high content imaging-based approach for classifying cellular phenotypes.

Joseph J Kim1, Sebastián L Vega, Prabhas V Moghe

  • 1Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA. P41 EB001046

Methods in Molecular Biology (Clifton, N.J.)
|June 6, 2013
PubMed
Summary

This study introduces a high-content imaging platform to analyze individual stem cells. It identifies cell subpopulations and predicts their long-term fates, improving biomaterial screening for regenerative medicine.

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

Theranostic Nanoparticles for Fluorosensitive Visualization and Inhibition of Amyloid Beta-Induced Neuroinflammation.

Particle & particle systems characterization : measurement and description of particle properties and behavior in powders and other disperse systems·2026
Same author

Polycyclic Aromatic Hydrocarbons (PAHs) in Marine Sediments: Distribution, Sources, and Biological Risks in the Habitat of Resident Killer Whales and their Prey in British Columbia, Canada.

Archives of environmental contamination and toxicology·2026
Same author

Synthetic Phosphorylation Networks with Fluorescence and Luminescence Expansion.

ACS synthetic biology·2025
Same author

Correction: Sediment Spatial Distribution and Quality Assessment of Metals in Chinook Salmon and Resident Killer Whale Marine Habitat in British Columbia, Canada.

Archives of environmental contamination and toxicology·2024
Same author

Extracellular Peptide-Ligand Dimerization Actuator Receptor Design for Reversible and Spatially Dosed 3D Cell-Material Communication.

ACS synthetic biology·2024
Same author

Shortwave-Infrared-Emitting Nanoprobes for CD8 Targeting and In Vivo Imaging of Cytotoxic T Cells in Breast Cancer.

Advanced nanobiomed research·2024

Area of Science:

  • Biomaterials Science
  • Stem Cell Biology
  • Cellular Imaging

Background:

  • Current methods for cell-biomaterial interaction analysis are population-based, limiting insights into heterogeneous stem cell populations.
  • Analyzing stem cells in engineered microenvironments is challenging due to their diverse behaviors and developmental paths.
  • Existing techniques often rely on end-point imaging or biochemical markers, failing to capture dynamic single-cell responses.

Purpose of the Study:

  • To develop a high-content imaging platform for characterizing cell-biomaterial interactions at the single-cell level.
  • To identify microenvironment-responsive morphological descriptors for parsing heterogeneous stem cell populations.
  • To enable prediction of long-term cell lineage fates and facilitate screening of regenerative biomaterials.

More Related Videos

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

Related Experiment Videos

Last Updated: May 10, 2026

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

Main Methods:

  • Utilized a high-content imaging-based platform to capture detailed morphological descriptors of individual cells.
  • Developed algorithms to identify cell subpopulations based on distinct phenotypic characteristics.
  • Applied the platform to analyze stem cell behavior in engineered microenvironments and forecast cell fates.

Main Results:

  • Successfully identified distinct cell subpopulations within heterogeneous stem cell cultures using morphological descriptors.
  • Demonstrated the ability to pinpoint microenvironment-responsive features that correlate with specific cell phenotypes.
  • Validated the platform's efficacy in predicting long-term cell lineage trajectories and screening biomaterials for regenerative applications.

Conclusions:

  • The developed high-content imaging platform offers a powerful tool for dissecting complex cell-biomaterial interactions at single-cell resolution.
  • Morphological descriptors serve as reliable indicators of emergent phenotypes and can predict stem cell lineage fates.
  • This approach enhances the screening of biomaterials for regenerative medicine by enabling phenotype-specific assessments.