Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Induced Pluripotent Stem Cells

Induced Pluripotent Stem Cells

Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...

Induced Pluripotent Stem Cells

Induced Pluripotent Stem Cells

Stem cells are undifferentiated cells that divide and produce different cell types. Ordinarily, cells that have differentiated into a specific cell type are terminally differentiated; however, scientists have found a way to reprogram these mature cells so that they dedifferentiate and return to an unspecialized, proliferative state. These cells are pluripotent like embryonic stem cells—able to produce all cell types—and are called induced pluripotent stem cells (iPSCs).
Somatic...

You might also read

Related Articles

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

Sort by

Same author

A ferritin nanoparticle-displayed spike protein-based ELISA for serological surveillance and immune evaluation of porcine deltacoronavirus.

Virologica Sinica·2026

Same author

Succinate drives breast cancer bone metastasis by activating the HIF1α/YTHDF1/YAP signaling axis to upregulate chemokine CXCL5 and disrupt the bone microenvironment.

Apoptosis : an international journal on programmed cell death·2026

Same author

De Novo Protein Design Enables Targeting of Intractable Oncogenic Protein-Protein Interfaces.

Biologics (Basel, Switzerland)·2026

Same author

Genomic Profiling of Adults with Pharmacoresistant Genetic Generalized Epilepsy.

Brain sciences·2026

Same author

Characterization of RmlABCD Enzymes from Marine Bacteria and Efficient Synthesis of dTDP-L-Rhamnose.

Microorganisms·2026

Same author

Antimicrobial Efficacy and Food Application Potential of Bacteriocins LL3 and LL4 from Traditional Dairy-Derived Lactococcus lactis.

Journal of dairy science·2026

Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026

Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026

Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026

Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026

Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026

Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 16, 2026

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

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

Published on: October 4, 2024

Automated Image-Based Profiling of Pluripotent Stem Cell Colonies.

Rui Geng^1,2, Benjamin L Kidder^1,2

¹Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.

Biorxiv : the Preprint Server for Biology

|September 26, 2025

Summary

This summary is machine-generated.

ColonyQuant, a new open-source platform, automates stem cell colony analysis, moving beyond subjective scoring. It quantifies morphology and staining intensity for reproducible, high-content screening in stem cell research and drug discovery.

Keywords:

alkaline phosphatase staining automated image analysis colony morphology embryonic stem cells high-content screening image analysis machine learning morphometric profiling phenotypic heterogeneity pluripotency quantitative imaging

More Related Videos

Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts

Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts

Published on: February 20, 2012

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Published on: May 20, 2010

Related Experiment Videos

Last Updated: Jan 16, 2026

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

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

Published on: October 4, 2024

Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts

Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts

Published on: February 20, 2012

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Published on: May 20, 2010

Area of Science:

Stem Cell Biology
Developmental Biology
Drug Discovery
Quantitative Image Analysis

Background:

Manual scoring of stem cell colonies is subjective, slow, and not scalable.
Converting complex colony morphologies into reproducible datasets is a major challenge.

Purpose of the Study:

To develop an open-source platform, ColonyQuant, for automated quantitative image analysis of stem cell colonies.
To integrate segmentation, intensity quantification, morphometric profiling, and statistical classification into a single workflow.

Main Methods:

ColonyQuant performs automated colony segmentation and alkaline phosphatase (AP) intensity quantification.
It computes per-colony functional readouts and comprehensive shape descriptors.
The platform integrates these features into a unified framework for analysis.

Main Results:

ColonyQuant revealed dose-dependent reductions in colony area and AP signal in ESCs treated with a KDM4 inhibitor.
It identified systematic remodeling of morphometric metrics, with intensity and solidity as key features.
Multivariate analyses robustly stratified treatment groups based on colony responses.

Conclusions:

ColonyQuant transforms subjective scoring into objective, scalable, and biologically interpretable phenotyping.
It provides a reproducible platform for stem cell research and high-content screening.
The tool enables precise analysis of stem cell colony responses to chemical treatments.