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Related Experiment Video

Updated: Jul 17, 2025

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Published on: December 16, 2014

CellProfiler plugins -- an easy image analysis platform integration for containers and Python tools.

Erin Weisbart¹, Callum Tromans-Coia¹, Barbara Diaz-Rohrer¹

¹Broad Institute of MIT and Harvard, Cambridge MA, USA.

|August 30, 2023

Summary

This summary is machine-generated.

CellProfiler-plugins enhances image analysis with new modules and containerized tool integration. This upgrade improves documentation and citation features for broader community use.

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Area of Science:

Bioimage analysis
Computational biology
Scientific software development

Background:

CellProfiler is a popular open-source software for reproducible biological image analysis.
Its plugin system enables custom module development, integrating external Python or containerized tools.
The CellProfiler-plugins repository hosts experimental and dependency-heavy modules.

Conclusions:

The upgraded CellProfiler-plugins repository facilitates easier use and contribution.
Enhanced integration with external tools and improved usability are key outcomes.
These advancements support reproducible and collaborative bioimage analysis.