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This protocol provides instructions to acquire high-quality cellular contractility data from adult, neonatal, and human induced pluripotent stem cell-derived cardiomyocytes. Contractility parameters are key to unravel mechanisms underlying cardiac pathologies, yet difficulties in acquiring data can compromise measurement accuracy and reproducibility. We provide optimized steps for microscope and camera setup, as well as cellular selection criteria for different cardiomyocyte cell types, aiming to obtain robust and reliable data. Moreover, we use CONTRACTIONWAVE software to analyze and show the optimized results.

Defocusing microscopy (DM) is a recently developed technique that allows quantitative analysis of membrane surface dynamics of living cells using a simple bright-field optical microscope. According to DM, the contrast of defocused images is proportional to cell surface curvature. Although, until now, this technique was used mainly to determine size and amount of membrane shape fluctuations, such as ruffles and small random membrane fluctuations, in macrophages, its applications on cell biology extend beyond that. We show how DM can be used to measure optical and mechanical properties of a living macrophage, such as cell refractive index n, membrane bending modulus Kc, and effective cell viscosity η for membrane-actin meshwork relaxation. Experimental data collected from defocused images of bone marrow-derived macrophages were used to evaluate these parameters. The obtained values, averaged over several different macrophages, are n=(1.384±0.015), Kc ≈ 3.2×10−19J, and η ≈ 459Pa·s. We also estimate the amplitude of the small fluctuations to be of the order of 3nm, which is around the step size of a polymerizing actin filament.

Cell membrane deformation is an important feature that occurs during many physiological processes, and its study has been put to good use to investigate cardiomyocyte function. Several methods have been developed to extract information on cardiomyocyte contractility. However, no existing computational framework has provided, in a single platform, a straightforward approach to acquire, process, and quantify this type of cellular dynamics. For this reason, we develop CONTRACTIONWAVE, high-performance software written in Python programming language that allows the user to process large data image files and obtain contractility parameters by analyzing optical flow from images obtained with videomicroscopy. The software was validated by using neonatal, adult-, and human-induced pluripotent stem-cell-derived cardiomyocytes, treated or not with drugs known to affect contractility. Results presented indicate that CONTRACTIONWAVE is an excellent tool for examining changes to cardiac cellular contractility in animal models of disease and for pharmacological and toxicology screening during drug discovery.