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

Artificial Intelligence-Enabled Cardiac Function Estimation from Phone Videos of Echocardiograms.

medRxiv : the preprint server for health sciences·2026
Same author

The optical origin of the human skin color 'banana' in CIELAB space.

bioRxiv : the preprint server for biology·2026
Same author

SMURF: soft-segmentation for single-cell reconstruction and topological analysis of spatial transcriptomic data.

Nature communications·2026
Same author

MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening.

bioRxiv : the preprint server for biology·2026
Same author

A Pan-Cancer Single-Cell Atlas to Evaluate Tumor Identity, Cell Line Concordance, and Dependency Mapping.

bioRxiv : the preprint server for biology·2026
Same author

Non-invasive profiling of the tumour microenvironment with spatial ecotypes.

Nature·2026

Related Experiment Video

Updated: Jun 29, 2025

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

550

Mapping single-cell developmental potential in health and disease with interpretable deep learning.

Minji Kang, Jose Juan Almagro Armenteros, Gunsagar S Gulati

    Biorxiv : the Preprint Server for Biology
    |April 2, 2024
    PubMed
    Summary

    CytoTRACE 2, a new deep learning tool, accurately measures cell potency from single-cell RNA sequencing (scRNA-seq) data. This framework reveals cell differentiation landscapes in development and disease.

    More Related Videos

    Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
    10:55

    Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

    Published on: December 16, 2017

    8.7K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.0K

    Related Experiment Videos

    Last Updated: Jun 29, 2025

    Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
    11:38

    Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

    Published on: October 4, 2024

    550
    Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
    10:55

    Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

    Published on: December 16, 2017

    8.7K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.0K

    Area of Science:

    • Developmental Biology
    • Genomics
    • Computational Biology

    Background:

    • Single-cell RNA sequencing (scRNA-seq) has revolutionized developmental biology, but quantifying cellular potency remains difficult.
    • Identifying molecular markers of cell potency is crucial for understanding cell fate and differentiation.
    • Existing methods struggle to accurately capture the full spectrum of cellular potency.

    Conclusions:

    • CytoTRACE 2 provides a broadly applicable platform for delineating single-cell differentiation landscapes.
    • Illuminates a fundamental feature of cell biology related to potency and differentiation.
    • Offers new insights into cellular phenotypes in cancer, impacting survival and treatment resistance.