APPLICATION
CellProfiler is an open-source tool for analyzing biological images, helping researchers measure and classify cellular features in microscopy data.
FEATURES
Pre-Configured Pipelines, Adjustable Settings, Automated Processing, Data Export, Machine Learning for Phenotype Classification.
CONTACT
LICENSE
Open-source License
PROGRESS
Actively developed and improved by the Cimini Lab at the Broad Institute.
RESOURCES
CellProfiler is a widely-used open-source software designed for biological image analysis, originating from the Broad Institute of MIT and Harvard. Created in 2003 by Anne E. Carpenter and Ray Jones, CellProfiler enables researchers to process and analyze large sets of microscopy images to extract valuable data on cell phenotypes. It’s particularly beneficial for biologists needing to measure and quantify cellular features across large datasets automatically.
Key Features
- Easy-to-Use Pipelines: Load pre-configured pipelines with image-processing modules tailored for common analysis tasks.
- Customizable Settings: Adjust parameters to focus on specific phenotypes of interest in the images.
- Automated Image Processing: Process massive image datasets, even up to millions, with minimal manual intervention.
- Data Export: Export results directly to spreadsheets or databases for further analysis.
- Machine Learning Integration: Classify and explore subtle phenotypes using machine learning tools in CellProfiler Analyst.
This tool is ideal for research requiring in-depth cellular analysis, offering a robust, community-supported platform that continues to evolve through active development.
