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 Videos

CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Anne E Carpenter1, Thouis R Jones, Michael R Lamprecht

  • 1Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.

Genome Biology
|November 2, 2006
PubMed
Summary
This summary is machine-generated.

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

Identifying and targeting abnormal mitochondrial localization associated with psychosis.

bioRxiv : the preprint server for biology·2026
Same author

Quantitative Host Cell Protein Analysis of Antibody-Based Protein Therapeutics Using the Orbitrap Astral Mass Spectrometer.

Journal of the American Society for Mass Spectrometry·2026
Same author

Progress and new challenges in image-based profiling.

Molecular systems biology·2026
Same author

Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes.

Cell systems·2026
Same author

AI agents in drug discovery: applications and case studies.

Drug discovery today·2026
Same author

A scalable approach to resolving variants of uncertain significance.

bioRxiv : the preprint server for biology·2026
Same journal

Integrated lipidomic and transcriptomic profiling of the host response in human malaria.

Genome biology·2026
Same journal

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026
Same journal

Mapping the landscape of allele-specific expression in porcine genomes.

Genome biology·2026
Same journal

Genomic sequence evolution underlying human neocortical interareal diversification.

Genome biology·2026
Same journal

Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.

Genome biology·2026
Same journal

A longitudinal single-nucleus transcriptomic atlas of bovine placentation reveals dynamic cellular hierarchies and regulatory programs.

Genome biology·2026
See all related articles

CellProfiler is a free, open-source software for high-throughput cell image analysis. It enables biologists to quantitatively analyze thousands of cell samples daily for various biological questions.

Area of Science:

  • Biotechnology
  • Cell Biology
  • Genomics

Background:

  • Automation allows biologists to process thousands of samples daily.
  • High-throughput screening and functional genomics are advancing rapidly.
  • There is a need for flexible, open-source tools for cell image analysis.

Purpose of the Study:

  • To introduce CellProfiler, the first free, open-source system for high-throughput cell image analysis.
  • To provide a flexible platform for addressing diverse biological questions using cell imaging.
  • To enable quantitative analysis of both standard and complex cellular assays.

Main Methods:

  • Development of CellProfiler, a free and open-source software system.
  • Implementation of algorithms for high-throughput image processing and analysis.

Related Experiment Videos

  • Design for flexibility to accommodate various biological assays and research questions.
  • Main Results:

    • CellProfiler enables the analysis of thousands of samples per day.
    • The system supports quantitative analysis of standard assays like cell count and protein levels.
    • It also facilitates complex morphological assays, including cell shape and subcellular staining patterns.

    Conclusions:

    • CellProfiler offers a powerful, accessible solution for high-throughput cell image analysis.
    • The open-source nature promotes widespread adoption and further development in biological research.
    • This tool empowers biologists to quantitatively address a wide range of research questions.