Quantification of cardiomyocyte contraction based on image correlation analysis

Area of Science:

• Cardiology
• Cell Biology
• Biophysics

Background:

• Quantifying cardiomyocyte contraction typically relies on global cell shortening measurements.
• Existing methods often require fluorescent calcium probes and wave tracking, limiting efficiency.

Purpose of the Study:

• To develop and validate a novel optical flow method for precise intracellular strain quantification during cardiomyocyte contraction.
• To enable accurate analysis of cardiomyocyte dynamics without fluorescent probes.

Main Methods:

• Developed a 2D image correlation analysis for phase-contrast microscopy time-lapse sequences.
• Utilized synthesized images for method validation.
• Computed intracellular strain fields from adult and neonatal cardiomyocyte videomicroscopy data.

Main Results:

• Successfully quantified the propagation of sarcomere contraction-relaxation waves.
• Accurately captured time-varying intracellular displacement patterns, even with cell bending.
• Demonstrated direct quantification of intracellular strain variations over time.

Conclusions:

• The developed optical flow method provides accurate, quantitative analysis of cardiomyocyte contraction at the sarcomere level.
• This approach offers a fast, efficient, and probe-free tool for studying cardiomyocyte mechanics and mechanosensitive processes.