Related Experiment Video
Updated: Feb 5, 2026

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
Published on: July 21, 2014
New levels of high angular resolution EBSD performance via inverse compositional Gauss-Newton based digital image
T J Ruggles1, G F Bomarito2, R L Qiu3
1National Institute of Aerospace, 100 Exploration Way, Hampton, VA 23666, USA.
This study introduces inverse compositional Gauss Newton (ICGN) digital image correlation (DIC) for high angular resolution electron backscatter diffraction (HREBSD). The new ICGN-based HREBSD method significantly reduces strain error compared to conventional techniques.
Area of Science:
- Materials Science
- Crystallography
- Electron Microscopy
Background:
- Conventional high angular resolution electron backscatter diffraction (HREBSD) relies on cross-correlation to analyze diffraction patterns.
- This method quantifies relative elastic strain and misorientation by tracking feature shifts.
Purpose of the Study:
- To adapt inverse compositional Gauss Newton (ICGN) digital image correlation (DIC) for HREBSD applications.
- To improve the accuracy of strain and misorientation measurements in HREBSD.
Main Methods:
- Developed an ICGN-based digital image correlation (DIC) technique compatible with HREBSD.
- ICGN-DIC efficiently tracks both feature shifts and shape changes in diffraction patterns.
- Applied and compared ICGN-based HREBSD against conventional cross-correlation HREBSD methods using simulated data.
Main Results:
- ICGN-based HREBSD demonstrated approximately half the strain error compared to the best cross-correlation HREBSD method.
- The computational time for ICGN-based HREBSD was comparable to conventional methods.
- Incorporating shape change modeling in HREBSD enhances measurement accuracy.
Conclusions:
- ICGN-based HREBSD offers a more accurate and efficient approach for analyzing material deformation.
- This advancement provides improved precision in quantifying elastic strain and misorientation in materials.
Related Concept Videos
Drug Product Performance: In Vitro–In Vivo Correlation
Correlations
Gauss's Law
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Gauss's Law: Problem-Solving
Solution Composition During Acid/Base Titrations
The α0 and α1 values...

