Related Experiment Video
Updated: May 2, 2026

12:55
Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
Published on: January 13, 2023
9.5K
ColonyArea: an ImageJ plugin to automatically quantify colony formation in clonogenic assays
Camilo Guzmán1, Manish Bagga1, Amanpreet Kaur2
1Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
Plos One
|March 21, 2014
Summary
A new ImageJ plugin, ColonyArea, simplifies the analysis of cancer cell colony formation assays. This tool quantifies colony area and intensity, offering a robust measure of anti-proliferative effects for cancer research.
Area of Science:
- Cell Biology
- Cancer Research
- Bioinformatics
Background:
- The clonogenic or colony formation assay is crucial for assessing cancer cell proliferation and treatment efficacy.
- Current analysis methods can be time-consuming and lack standardization for automated applications.
Purpose of the Study:
- To introduce "ColonyArea", a free ImageJ plugin for simplified and standardized analysis of colony formation assays.
- To provide a quantitative method for assessing the anti-proliferative effects of cytotoxic agents and the transforming potential of genes.
Main Methods:
- The ColonyArea plugin processes multi-well dish images by separating, cropping, and background correcting individual wells.
- It quantifies colony formation by measuring the stained area and intensity, accounting for cell density.
- The plugin was validated using staurosporines (UCN-01 and STS) on human glioblastoma cells (T98G).
Main Results:
- ColonyArea provides robust quantification of IC50 values for cytotoxic effects.
- Results correlated well with absorbance-based methods and published data.
- The plugin enables efficient and accurate analysis of colony formation assays.
Conclusions:
- ColonyArea offers a simple, efficient, and quantitative analysis routine for colony formation assays.
- The plugin is freely available and expected to benefit cancer biologists and clinical radiation scientists.
- This tool supports both routine laboratory use and automated, parallelized analysis.

