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Updated: Feb 14, 2026

Intermediate Strain Rate Material Characterization with Digital Image Correlation
Published on: March 1, 2019
A new method for the rapid characterization of root growth and distribution using digital image correlation
Tan Bao1, Garrett W Melenka2, Megan K Ljubotina1
1Department of Biological Sciences, University of Alberta, CW-405 Biological Sciences Building, Edmonton, Alberta, T6G 2E9, Canada.
Researchers developed a new method to measure plant root growth by analyzing soil movement, not direct observation. This digital image correlation (DIC) technique offers a faster, scalable way to study root systems and biological patterns.
Area of Science:
- Plant Biology
- Soil Science
- Biophysics
Background:
- Accurate root growth assessment is crucial but challenging with current destructive or time-consuming methods.
- Existing techniques like excavation and root tracing limit high-throughput analysis of root system dynamics.
Purpose of the Study:
- To introduce a novel, non-destructive method for inferring and quantifying root growth patterns.
- To adapt digital image correlation (DIC) analysis for root biology applications.
Main Methods:
- Utilized digital image correlation (DIC) analysis on sequential images of plants in window boxes.
- Analyzed soil particle displacement to create quantifiable strain maps indicating soil movement.
- Inferred root growth and quantified root system metrics from strain patterns.
Main Results:
- Strain maps accurately reflected root spatial distribution and correlated with conventional root length measurements.
- The method detected root proliferation in nutrient-enriched soil patches.
- Demonstrated the effectiveness of DIC for rapid, scalable, and low-cost root analysis.
Conclusions:
- This novel DIC-based approach provides a powerful, non-destructive tool for studying root growth dynamics.
- The method is suitable for various plant biology research, especially for temporal analyses.
- Offers a flexible and complementary technology to existing root investigation tools.
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