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Related Experiment Video

Updated: Nov 26, 2025

Cellular Redox Profiling Using High-content Microscopy

Cellular Redox Profiling Using High-content Microscopy

Published on: May 14, 2017

Digital postprocessing and image segmentation for objective analysis of colorimetric reactions.

M Shane Woolf¹, Leah M Dignan², Anchi T Scott²

¹Department of Chemistry, University of Virginia, Charlottesville, VA, USA. msw2s@virginia.edu.

Nature Protocols

|December 10, 2020

Summary

This summary is machine-generated.

This study presents an accessible ImageJ protocol for analyzing colorimetric reactions using inexpensive digital cameras. It simplifies objective detection, making advanced analysis feasible without custom software or expertise.

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Last Updated: Nov 26, 2025

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Area of Science:

Biochemistry
Analytical Chemistry
Image Analysis

Background:

Colorimetry is increasingly used to monitor chemical reactions.
Inexpensive digital imaging devices (smartphones, cameras) offer cost-effective detection.
Advanced software for image analysis requires specialized expertise.

Purpose of the Study:

To describe a user-friendly protocol for processing colorimetric images using ImageJ.
To enable objective analysis of colorimetric reactions with accessible tools.
To provide a low-cost alternative to complex, custom-developed software.

Main Methods:

Utilizing the freeware ImageJ program for image processing.
Implementing a protocol with three distinct workflow options.
Applying image segmentation and color space analysis (RGB, HSB, Y'UV, L*a*b*).

Main Results:

The protocol is accessible to users with minimal image processing or color science experience.
Analysis time is approximately 6 minutes for new users and under 3 minutes for experienced users.
No specialized equipment (e.g., fluorescence) or custom algorithms are required.

Conclusions:

ImageJ provides an affordable and robust solution for analyzing colorimetric experiments.
This protocol democratizes objective colorimetric analysis, reducing reliance on expensive tools and expertise.
The method facilitates efficient and accessible monitoring of colorimetric reaction progression and endpoints.