A Comprehensive Method for Accurate Strain Distribution Measurement of Cell Substrate Subjected to Large Deformation

Area of Science:

• Cardiovascular mechanobiology
• Biomedical engineering
• Materials science

Background:

• In vitro cell mechanical stretching is vital for cardiovascular mechanobiology.
• Accurate measurement of substrate strain fields under varying cellular strains is crucial.
• Traditional digital image correlation (DIC) algorithms struggle with large strain measurements.

Purpose of the Study:

• To propose and evaluate an improved DIC method for accurate strain distribution measurement in large deformation scenarios.
• To assess the effectiveness and accuracy of the proposed method using numerical experiments and experimental validation.

Main Methods:

• Development of an improved DIC algorithm tailored for large strain measurements.
• Numerical experiments to validate the accuracy and effectiveness of the proposed method.
• Uniaxial substrate stretching experiments to apply and verify the method in a real-world setting.

Main Results:

• The improved DIC method demonstrated high accuracy and effectiveness in numerical simulations.
• Experimental validation confirmed the method's ability to accurately measure substrate strain distribution during large stretching.
• The proposed method overcomes limitations of traditional DIC in large deformation analysis.

Conclusions:

• The developed DIC method provides accurate strain distribution measurements for substrates undergoing large deformations.
• This advancement enables more precise characterization of cellular responses to varying substrate strains in mechanobiology research.
• The findings support improved experimental designs in cardiovascular research utilizing cell stretching techniques.