promoting cardiomyocyte maturity as indicated by sarcomere size, gene expression, metabolism, and Ca 2+ waves. Similarly, Khodabukus et al. [2] found electrical stimulation (70 mA amplitude, 2 ms, and 1 or 10 Hz) improved protein expression, force generation, calcium handling, and fatty acid oxidation in human skeletal muscles, which demonstrated the enhancement in maturation, structure, and metabolism. However, there are still concerns about the effectiveness of external stimuli. For example, in a review summarized by Love et al., [3] electrical stimulations can trigger an increase, decrease, or neutral effect on cell proliferation and apoptosis. This is perhaps due to non-optimized electrical and material parameters: voltage, type, number of pauses, frequency, duration, treatment period, and cell type. Thus, the underlying mechanism has not thoroughly been studied and understood.Simple detection or verification methods are necessary to fully decipher the mechanism and optimize the function of electric stimuli. Currently used techniques such as gene expression and Ca 2+ detection methods are mature but complex. Mechanical measurement methods (e.g., tensile, hardness, bending, burst testing) have been explored, which were nonideal for soft non-uniform cardiac tissues due to their [4] small size, viscoelasticity, hierarchical and porous structures, hydration levels, complex compositions, and high surface roughness. Novel methods, including patch-clamp, indentation, [5] optical tweezer, [6] multifunctional membrane, [7] and voltagesensitive dye, have also been applied for mechanic and beating properties' measurement. However, these methods are invasive; and the results exhibit high variations and deviations due to the viscoelasticity and non-uniformity characteristics of soft biomaterials. [6] Compared to invasive mechanical measuring methods, digital image correlation (DIC) [8] is a non-invasive and comprehensive method to detect cardiac beating mechanics, measuring nano-and micro-deformation of the tested object through the change of gray value patterned subsets. For example, Shradhanjali et al. [9] designed an adaptive reference-DIC method to study the mechanics of cardiomyocyte contraction.The mechanism of DIC analysis involves tracking and imaging micro-deformation of the tested object through detecting the corresponding subsets' differences between the reference and deformed images. [8] More specifically, it detects the correlations among all the subsets in the reference and Electrical pacing/stimulations (EP) have been widely adopted to promote the maturation of hiPSC-derived cardiomyocytes. However, there is a debate about their functions and effectiveness due to non-optimized pacing conditions. Here, the effectiveness of EP (13 V cm −1 , 2 ms in width, and 5 Hz frequency) on cardiac tissue beating mechanics are analyzed using digital image correlation (DIC). The cardiac tissues with and without EP at tissue culture time from day 2 to 11 (D2-D11) are characterized and compared. The results indicate EP dec...