1.IntroductionFunctional optical mapping of cardiac electrophysiology has become indispensable in the quantification of arrhythmia emergence and mechanisms, including in recently more widely used human induced stem-cell derived cardiomyocytes, iPSC-CMs.1–3 Microscope-based optical mapping in cultured cells using fluorescent dyes for voltage and calcium yields acceptable signal-to-noise ratio (SNR) due to the optimized high-NA optics.4 However, capturing wave propagation at the microscale [small field of view (FOV)] is difficult as it necessitates temporal resolution and has been achieved exclusively using custom-built photodiode arrays.5–7 To extend these measurements to arrhythmia-relevant spatial scales, a large FOV, closer to a centimeter, is needed to match the wavelength of the cardiac waves [action potential duration (APD) times conduction velocity]. At such large FOV, optical mapping in cultured cells is much more challenging than whole-heart imaging due to difficulties in gathering enough photons from a single cell layer at high speed.4,8 The first attempts at such large-FOV optical mapping in cultured cardiomyocytes struck a compromise between spatial and temporal resolution.9–11 Bub et al.11 used lower-speed calcium wave mapping in neonatal rat cardiomyocytes to elucidate complex bursting spiral wave dynamics—a first demonstration that simple two-dimensional cardiac systems can sustain spiral waves seen at the whole heart level.12–14 Arutunyan et al.9 deployed lower-speed confocal microscopy of calcium to capture ischemia-reperfusion triggered arrhythmias. We used a high-speed, lower spatial-resolution contact fluorescence imaging of voltage with an array of photodiodes and fiber optics to directly capture the virtual electrodes induced by applied electric fields during an anatomical reentry.10 With the emergence of human iPSC-CMs, replacing to a large degree the neonatal rat cardiomyocyte cell culture system as an experimental in vitro model, interest in sensitive large-FOV optical mapping for cultured cells has increased.1,2,15 This is dictated by the real translational opportunities to use human iPSC-CMs for preclinical studies—cardiotoxicity testing and drug discovery.16 When combined with optogenetic stimulation, these approaches yield scalable all-optical electrophysiology solutions.17–20 They provide powerful means for imaging and control of excitation waves,21–23 yet the “spectral congestion” brought about by the simultaneous use of multiple optical sensors and actuators20,24 requires special attention to the experimental conditions. An expensive, high-end system for all-optical electrophysiology in human iPSC-CMs with large FOV was deployed by Werley et al.25 and has entered commercial use for drug testing. Other commercial imaging systems for high-throughput analysis, e.g., fluorometric imaging plate reader (FLIPR) by molecular devices, tend to use calcium imaging as a proxy for voltage mapping of drug responses due to the superior SNR by calcium-sensitive indicators compared to voltage-sensitive dyes. Due to challenges with sensitivity, especially in macroscopic voltage mapping in cell culture, the cameras used in optical mapping have been traditionally high-end specialized scientific cameras, i.e., intensified charge-coupled devices (CCDs), electronmultiplication CCDs (EMCCDS), and scientific complementary metal-oxide semiconductor (sCMOS) cameras, with a price range of $30,000 to $100,000, making them by far the most expensive part of an imaging system. Over the last decade, driven by technological improvements in mobile phone cameras, CMOS chips have undergone dramatic performance improvement, including a boost in sensitivity at a lower price point. The goal of this study was to build a stand-alone, compact, and inexpensive macroscopic (large FOV) system for all-optical electrophysiology, with capabilities for multiparametric mapping of voltage, calcium, and contraction waves in thin experimental preparations, such as layers of human iPSC-CMs. Toward this goal, we demonstrate the utility of a recent generation of machine-vision CMOS cameras, at a price that is two orders of magnitude lower than the cameras typically used in optical mapping. Along with low-cost LEDs and simple design, the total cost of the full multicamera system is . We perform rigorous quantification of key electrophysiological parameters across various experimental conditions, including electrical versus optical stimulation, voltage versus calcium mapping, various experimental solutions, and light intensities. Overall, new insights about the impact of illumination parameters in all-optical electrophysiology are presented here that can be critical in guiding future all-optical electrophysiology studies. In example applications, we show that the system can detect conduction changes due to drugs targeting cell–cell coupling. We also demonstrate that the system, which is based on oblique transillumination in the current study, can be reconfigured into epi-illumination mode for future use with thicker tissues. The presented design and results can help the more rigorous characterization of human iPSC-CMs, help streamline drug development, and have overall positive impact on basic and translational studies of cardiac arrhythmias. 2.Methods2.1.Culture of Human iPSC-Cardiomyocytes and Optogenetic ModificationsThe human iPSC-CMs were the iCell2 (iCell Cardiomyocytes2 (Cat. C1016, Donor 01434) from Fujifilm/Cellular Dynamics International, Madison, Wisconsin. The hiPSC-CMs samples were cultured on fibronectin-coated () 35 mm dishes with 14 mm glass-bottom insert (Cellvis, Mountain View, California) at 270,000 cells per well and were grown in humidified incubator at 37°C and 5% in manufacturer-provided culture medium and following manufacturer’s instructions. The maintenance medium was changed every other day until 7 days postplating when measurements were conducted. For optogenetic actuation, channelrhodopsin2 (ChR2) was expressed in the cells by adenoviral transduction with Ad-CMV-hChR2(H134R)-eYFP (Vector Biolabs, Malvern, Pennsylvania) at multiplicity of infection (MOI 50) on day 5 postplating, optimized to provide healthy and light-responsive samples.26 2.2.Functional Experiments with Human iPSC-CMsOn day 7 after plating, samples were prepared for experiments. Comparative experiments were performed either in the phenol-red containing manufacturer-provided culture medium or in Tyrode’s solution (in mM: NaCl, 135; , 1; KCl, 5.4; , 1.8; , 0.33; glucose, 5.1; and HEPES, 5; adjusted to pH 7.4 with NaOH). We observed that the pH value of the Tyrode’s solution varies with temperature, and for stable readings, we chose to pH the solution and to conduct the experiments at room temperature. To mimic operation in an incubator, experiments in culture medium were performed at elevated temperature ( to 35°C). Prior to optical mapping, cells were dual-labeled with spectrally compatible fluorescent indicators for membrane voltage and intracellular calcium in Tyrode’s solution, as described previously.18 The indicator Rhod-4AM (AAT Bioquest, Sunnyvale, California) was used at concentration for 20 min, followed by a wash. Then the near-infrared dye BeRST1,27 courtesy of Evan W. Miller (UC Berkeley), was applied at concentration for 20 min. Final wash was conducted either in culture medium or Tyrode’s solution depending on experimental conditions and cells were prepared for imaging. Electrical stimulation was achieved by a bipolar platinum electrode, connected to a MyoPacer stimulator (IonOptix, Westwood, Massachusetts). Optical stimulation was integrated in the system, as described below. In some experiments, cells were treated with cell uncoupler 1-Heptanol (Sigma-Aldrich, St. Louis, Missouri) at concentration of 0.5 mM for 30 min. In another subset of experiments, cells were treated with an HDAC inhibitor Trichostatin A (TSA) (Sigma Aldrich)—a drug known to lead to proarrhythmic responses—at 100 nM for 24 h prior to experiments. 2.3.System ComponentsThe compact macroscopic system for all-optical electrophysiology is structured on a -inch aluminum breadboard which makes it portable; all mechanical components are standard parts from Thorlabs, Newton, New Jersey. The system is designed for multiparametric optical imaging of , , and dye-free (label-free) imaging of mechanical waves, under electrical and/or optical/optogenetic stimulation. Figures 1(a) and 1(b) show the system, which uses two low-cost cameras, both Basler acA720-520um (Basler AG, Germany), having , per pixel, capable of running at up to 525 frames per second (fps). Camera 1 collects the emitted fluorescence to image or , whereas simultaneously camera 2 collects the dye-free signal visualizing the mechanical contraction waves.28 The main imaging lens is a 50-mm camera lens (0.95 F-stop, Navitar Inc., Ottawa, Canada); two additional 25-mm aspherical condenser lenses (focal length 20 mm, NA 0.6, Thorlabs) are placed in front of each camera to focus the image. The system is based on oblique transillumination for the multimodal imaging of cardiac waves. In Fig. 1(a), the bottom F1–F2–F3 cube combines the excitation light for and imaging and directs it to the sample via oblique illumination. The top F1–F2–F3 cube represents an identical module that allows for epi-illumination regime, validated here and useful for future imaging of nontransparent samples. For oblique transillumination, the excitation light from the bottom cube is reflected by a mirror oriented at 30 deg from the horizontal plane, so that the angle of incident light related to the sample is 60 deg. The light sources in the system include a red LED (M660L4, Thorlabs) at 660 nm for excitation of the voltage-sensitive dye and a green LED (M530L4, Thorlabs) at 530 nm for excitation of the calcium-sensitive dye. The red and green LEDs are equipped with excitation filters: F1 (FF02-655/40-25, Semrock, Rochester, New York) and F2 (ET535/50m, Chroma, Bellows Falls, Vermont), respectively, and combined by a 640 long pass dichroic mirror F3 (FF640-FDi01-25x36, Semrock). Optogenetic stimulation is done from above the sample via a blue LED (M470L4, Thorlabs) at 470 nm, typical pulse duration 5 to 10 ms, controlled by TTL signals via an LED driver. The blue light is reflected by two 495 long pass dichroic mirrors (F5 and F6) (FF495-Di03-25x36, Semrock) to the sample; the blue LED is slightly tilted off its optical axis and light is focused to a 1.5-mm point off center of the sample. The emission filters and dichroic mirrors in front of the cameras are as follows: F7—a 473/532/660 multiband dichroic mirror (ZT473/532/660rpc-xt-UF1, Chroma) reflected the dye-free signal to camera 2 and transmitted the fluorescence signal through a multibandpass emission filter F8: 595/40 + 700LP (Semrock) to camera 1. To perform experiments with the epi-illumination module, one can simply remove the kinematic cube which holds F6 and fill the spot with the kinematic cube insert that holds F7. All dichroic mirrors are mounted in the kinematic cubes (DFM1L, Thorlabs), which makes the system modular and switching between transillumination module and epi-illumination module measurements, simple. Measurements of light power were done with an optical power meter (PM100D, Thorlabs). 2.4.Data Acquisition and Data AnalysisThe camera data acquisition can be done through a free Basler acquisition software (Pylon). In this study, we used Norpix software (Norpix, Montreal, Canada) to run the cameras and guarantee synchronization. The reported experiments were done at 100 fps, full frame, and data were stored as sequence (.seq) files (Norpix). At the selected demagnification in this study, the camera-based spatial resolution of the system was per pixel and the FOV was . The fluorescent records and the dye-free records were co-registered. Here we focus exclusively on the and records obtained under various conditions. Custom software19,28,29 in MATLAB, MathWorks, Natick, Massachusetts, was used to preprocess the data (baseline correction, Bartlett spatial filter, and locally weighted temporal regression filter) before event detection. Activation maps were constructed based on the detected times of activation, and the analysis software quantified the following functional parameters of interest: APD at 80% repolarization (APD80), calcium transient duration (CTD) at 80% recovery (CTD80), and conduction velocity (CV) (cm/s). Statistical analysis to quantify the effects of various experimental conditions was done using multiway ANOVA with Tukey post hoc correction, and with significance considered at . The analysis was performed in GraphPad Prism, San Diego, California. 3.Results3.1.Design of a Low-Cost Portable Macroscopic All-Optical Electrophysiology SystemThe integrated portable low-cost all-optical macroscope is shown in Figs. 1(a) and 1(b). The total cost of the system, including two cameras, all optical components, all light sources and drivers, and the mechanical scaffolding is less than , substantially cheaper compared to existing optical mapping solutions. Key enabling technologies for building such a system are as follows: (1) improved low-cost machine-vision CMOS cameras28,30,31 over the last 5 years, offering sufficient sensitivity, suitable speed, spatial resolution, and spectral response to work in the demanding low-light conditions of fast fluorescence imaging in cell culture; (2) developments in LEDs, that allow easy on-off control and provide a lower-cost, stable alternative to incandescent lamps and lasers, so that they entered the optical mapping field almost 20 years ago;32,33 (3) improved voltage-sensitive probes in the near-infrared region developed recently, that offer sufficient SNR at high speed;27,34 and (4) development of optogenetic actuation tools, which offer optical control of cell function.20,35 The all-optical macroscopic system reported here includes capabilities for optogenetic actuation and multiparametric optical mapping of , , and mechanical waves. The latter is made possible by interferometric dye-free (label-free) imaging with oblique transillumination, as shown by Burton et al.,21 expanding upon a slightly different implementations reported earlier by Lee’s group using white light and a pinhole.36,37 The use of oblique illumination with LEDs or lasers creates local dye-free signal during small mechanical motions. This signal was shown to depend on the light source coherence and likely represents an interference based detection mechanism.21 Ongoing work in our group28 provides a rigorous look at the excitation–contraction coupling, made possible by such simultaneous electrical and mechanical mapping. The focus of this study was to demonstrate an all-optical macroscope with low-cost components and to provide detailed quantitative analysis of functional parameters from and mapping under various conditions of optogenetic treatment, illumination power, electrical versus optical pacing, and experimental media. Example activation maps under optical and electrical pacing and example traces are shown in Fig. 1(c). 3.2.Quantification of the Effects of Illumination Power on Key Electrophysiological Parameters in All-Optical ElectrophysiologySpectrally compatible optical actuators and sensors have been combined in various studies of cardiac function over the last decade.17,18,20–22,25,38–40 Yet, a detailed study of the effects of irradiance in the presence of multiple optical probes is missing. In Fig. 2(a), we show the spectra for spectrally compatible optogenetic actuator (ChR2) and optical sensors—Rhod-4 (calcium indicator) and Berst1 (voltage indicator). With proper selection of filters and light intensity, these have been demonstrated previously to work well together.18 However, the ChR2 activation spectrum does extend slightly into the green region, as pointed by an arrow in Fig. 2(a), so ChR2 may potentially be engaged when sufficiently strong green light is delivered. Using the designed system, we performed a systematic study to quantify the effects of irradiance (for the excitation light in voltage and calcium imaging) on key electrophysiological parameters—APD, CTD, and CV—in all-optical electrophysiology. Example and traces indicate equivalency of electrical and optogenetic stimulation in Fig. 2(b), as suggested in earlier studies. Results in Figs. 2(c) and 2(d) indicate that varying red or green light power has almost no appreciable impact on APD and CTD in control or ChR2-expressing samples, as seen in prior studies.18,19 However, the new findings here relate to the role of unintended ChR2 engagement during optical mapping and its effects on conduction velocity [Figs. 2(e) and 2(f)]. Although excitation light power did not affect CV in a significant way in control (no ChR2) samples, for optogenetically modified samples, higher light levels significantly decreased CV in green-light obtained calcium maps only, and not in red-light obtained voltage maps [Figs. 2(f) and 2(g)]. The effect was quite strong, such that at reasonable light levels of for green light, conduction could be slowed by 50% when ChR2 was present. At higher light levels, engaging ChR2 by green light through the spectral cross-talk can completely block wave propagation. ANOVA analysis (Table 1) corroborates these results. Thus safe optical mapping of calcium using green-light excitable sensors, without side-effects on conduction in the presence of an optogenetic actuator, e.g., ChR2, is only possible at very low irradiance levels, . Considering the quality of calcium sensors, these light levels still produce good SNR. Table 1P-values with two-way ANOVA analysis on illumination power and ChR2 infection for Figs. 2(c)–2(f).
3.3.Impact of Experimental Conditions on Restitution and Conduction Properties for Vm and [Ca2+]iMost functional optical mapping measurements in Langendorff hearts and in cardiac cell culture are done in Tyrode’s solution. For cultured human iPSC-CMs, optical measurements can be performed in culture medium especially when done within the incubator, although that is not the norm. We deployed the all-optical macroscope to quantify differences in electrophysiological parameters when the samples were studied in Tyrode’s solution (at room temperature) versus in culture medium containing phenol-red, serum, and fatty acids (at elevated temperature of about 33°C to 35°C). Figure 3 shows the results when samples were subjected to different pacing frequencies using electrical or optical stimulation. Excitation light was kept low for calcium mapping (green LED at ) and the red LED for voltage mapping was at . In all cases, in Tyrode’s and in culture medium, samples exhibited frequency adaptation (restitution), i.e., shortening in APD80, CTD80 and decrease in CV at higher pacing frequencies. CTD80 values were not influenced by the experimental conditions, whereas APD80 showed higher dispersion at lower pacing rates in culture medium at elevated temperature. The most dramatic effect was on conduction velocity—seen both for voltage and calcium CV, under electrical and optical pacing. Performing the experiments in culture medium at elevated temperature yielded approximately twofold higher CVs compared to experiments in standard Tyrode’s solution at room temperature, especially at lower pacing frequencies [Figs. 3(c) and 3(f)]. Table 2 shows the statistical ANOVA analysis of the data and indicates that in addition to the expected restitution responses, CV is significantly affected by the experimental medium and by the combination of pacing frequency and the experimental medium. Likely explanation for the increase in CV for the warmer culture medium is the strong temperature dependence of gap junctional conductance on temperature.41,42 The use of phenol-red containing medium required adjustment (increase) in blue light for the optogenetic stimulation due to its delivery from the top of the sample, and it led to some decrease in SNR for voltage imaging, nevertheless, it was possible to obtain maps and quantification for all parameters of interest. Table 2P-values with two-way ANOVA analysis on pacing frequency and experimental conditions for Figs. 3(a)–3(d).
3.4.Quantifying the Vm−[Ca2+]i Interrelations under Optical versus Electrical PacingAlthough the equivalency of electrical and optical stimulation has been established when short pulses are used,43 in Fig. 4, we present detailed comparison of APD80, CTD80, and CV in Tyrode’s and in culture medium. The correspondence of responses for all electrophysiological parameters of interest is very high (close to the identity line linking responses to electrical versus optical stimulation). Slight divergence from the identity line is seen for high CVs, both for voltage and calcium, most likely due to the different geometries of the stimulus origin site between electrical and optical stimulation in our setup. As the better SNR calcium probes are often favored in optical mapping of excitation in cell culture, it is interesting to quantify voltage–calcium relationships. Figure 5 presents APD80 versus CTD80 in different experimental solutions and under electrical and optical pacing. As expected, APD80 is shorter than CTD80, with tendency of APD80 and CTD80 converging at high pacing rates [Fig. 5(a)]. CVs obtained from voltage and calcium optical maps correlate well () and fall close to the identity line (slope 1.04), regardless of the experimental medium and the mode of pacing (electrical versus optical) [Fig. 5(b)]. Therefore, under controlled paced conditions, voltage, and calcium maps provide similar information. 3.5.Mapping the iPSC-CMs Response to Cellular Uncoupling Reagents in Different Sample FormatsThe utility of the designed system was illustrated in several applications. It was applied to detect changes in cardiac electrophysiology in response to cell uncoupling drugs. In Figs. 6(a)–6(c), the responses to 0.5 mM heptanol are shown (before and after drug application), under different pacing conditions, in Tyrode’s solution. As expected, at this dose, heptanol did not affect APD80 and CTD80 [Fig. 6(a)], however, it decreased CV both obtained through voltage mapping and calcium mapping [Figs. 6(b) and 6(c)]. ANOVA results (Table 3) confirm significant effects of both pacing frequency and heptanol on CV but not on APD80 and CTD80. Table 3P-values with two-way ANOVA analysis on pacing frequency and drug treatment for Figs. 6(a)–6(c).
Although most experiments were done in glass-bottom 35 mm dishes in Fig. 6(d), we demonstrate that in the current configuration and for the FOV ( per pixel), the system is compatible with other formats and can map four wells (from a 96-well plate) simultaneously. A different drug with effects on coupling and overall electrophysiology—an HDAC inhibitor, TSA was applied for 24 h at 100 nM concentration. Conduction slowing was documented in the TSA-treated samples, as seen in the activation maps. In one of the shown samples (E4), the conduction was slowed down sufficiently to sustain a rotating wave within a very small space (each well is 7 mm in diameter). 3.6.Validation of Extensibility to Epi-IlluminationThe oblique transillumination mode of imaging in the presented system works well with cultured iPSC-CMs, i.e., transparent monolayer samples. For the study of thicker, nontransparent samples in the future, we explored the possibility to reconfigure the system to an epi-fluorescent mode. Due to the modular design, this reconfiguring was straight-forward. Figure 6(e) illustrates the difference between the oblique transillumination and the epi-illumination configuration. We tested out how these two systems compare in terms of measured electrophysiological parameters from the same transparent iPSC-CMs monolayer. We quantified APD80, CTD80, and CV for both no ChR2 and ChR2 expressing samples at various pacing frequencies, using both modules, and compared the results. Control (no ChR2) results for APD80, CTD80, and CV are shown in Figs. 6(f) and 6(h); and results for ChR2-expressing samples are shown in Figs. 6(g) and 6(i). All measurements in Figs. 6(f)–6(i) show the characteristic restitution for both electrical and optical pacing. Note that in Figs. 6(h) and 6(i), the CVs of and are not distinguishable from each other due to them having similar values. Without further optimization, we found that the epi-illumination mode tended to produce noisier signals, which led to the corresponding APD80s to have larger uncertainties, especially at higher pacing frequencies. Overall, the epi-illumination results agree well with the transillumination, which verified that the epi-illumination configuration was functional and can be deployed in the future to study nontransparent samples, such as heart slices or whole hearts. Because of the thicker layer of cells from which photons are emitted, signals from heart slices or a whole heart are expected to be much stronger and easier to measure compared to the monolayer iPSC-CMs culture. 4.DiscussionEfforts have been put in place to standardize cardiac electrophysiology experiments by enforcing certain rules of reporting.44 Detailed experimental descriptions and adherence to standard experimental approaches are viewed as a way toward easier comparison of findings obtained by different laboratories. Yet, the complexity of experiments in cardiac electrophysiology, as an evolving field, using a variety of experimental models, variety of configurations and reagents, and with the adoption of new technologies, e.g., innovative optical tools,3 often prevents comprehensive analysis and consideration of all aspects that may impact the results. Here we report on the design and validation of a portable low-cost all-optical macroscopic mapping system (Fig. 1) to study cardiac electrophysiology in human iPSC-CMs. We show that the system can also be easily reconfigured to epi-illumination mode to perform all-optical mapping in nontransparent thicker samples, such as cardiac tissue slices or whole hearts [Figs. 6(e)–6(i)]. The hope is that simpler and more affordable mapping systems, offering a comprehensive, multiparametric view on cardiac responses to various stimuli and perturbations, can help quantify and standardize these complex measurements. Optical mapping offers a noninvasive way to probe electrophysiological function in a multicellular context, without cell isolation, which can adversely impact function. Although optical mapping has been a valuable tool in the cardiac field for more than 30 years45 and in the last 10 years it has been augmented with optical/optogenetic stimulation capabilities,20 very few studies have dealt with baseline characterization of the effects of experimental conditions. For example, Kanaporis et al.46 provided rigorous analysis of the effects of illumination power in optical mapping on key assessed parameters, e.g., APD and CV. They found that APD can be shortened and CV can be increased with higher excitation light irradiances. The effects were wavelength-dependent and likely related to transient thermal responses than phototoxicity of the sensing probes. This study uses irradiances substantially lower (in all cases ) than the ones that led to thermally mediated change in electrophysiological parameters, as seen in Ref. 46. Klimas et al.18 showed that irradiance of the excitation light can have nonlinear, nonmonotonic effect on the SNR in voltage and calcium imaging. Yet, very few studies quantify, report, or seriously consider these basic conditions of optical mapping experiments. When optogenetic stimulation is integrated with optical mapping using various sensors (for all-optical electrophysiology), and when their spectral profiles are close together, there is even more pressing need to carefully consider the conditions of such experiments. This study specifically draws attention to potential unintended engagement of ChR2 actuation through the excitation light for optical sensing, when it is in the green part of the spectrum. We show that green-excitable Rhod-4 calcium sensing in optogenetically modified cardiomyocytes only works without distortion of the results when the irradiance is very low () (Fig. 2). Engagement/opening of ChR2 ion channels directly contributes to depolarization of the membrane and inactivation of the sodium channels, hence impacting conduction. The effect is likely not specific to Rhod-4 but extends to other optical dyes (FluoVolt, di4-ANNEPS) and genetically encoded sensors, e.g., jR-GECO,47 excitable in the same green wavelength range. In addition to reducing the excitation light as a solution to this problem, using blue-shifted opsins, such as CheRiff,48 may help. In general, the all-optical mapping system developed here can help characterize the concurrent deployment of a large range of optical and optogenetic sensors and actuators as seen in use with human iPSC-CMs.49–52 Adding optical stimulation in all-optical mapping experiments is appealing because of its general equivalency to electrical stimulation43 and the many benefits it brings—contactless, spatially resolved, cell-specific actuation.22 Our results here corroborate the safe use of optogenetic stimulation (with short pulses) as an alternative to electrical stimulation (Figs. 3 and 4) with full preservation of APD, CTD, CV, and restitution responses. These findings are particularly impactful when considering high-throughput format testing with human iPSC-CMs for cardiotoxicity or drug development.17,18 In such format, it is much easier to implement contactless spatially distributed optical stimulation (rather than distributed electrical stimulation in each well) to expand the testing from observations of spontaneous activity to frequency-dependent responses when pharmacological or other therapies are tested. The system can be used in culture medium at elevated temperature (Figs. 3Fig. 4–5) for potential long-term recordings of activity in human iPSC-CMs. As suggested in Fig. 6(d), high-throughput format plates can be accommodated in this system, with appropriate further expansion of the FOV. Such scaling up in FOV has been done in industrial-grade expensive all-optical systems25 (although the FOV there was almost 10× smaller than the reported here), or in development of an optical mapping system of spontaneous or optically paced activity in HL-1 cells within multiwell plates;53 an alternative interesting solution for rapid mapping of multiple locations/samples has been proposed as random access dye-free imaging.54 Examples of the use of the low-cost machine-vision cameras in complex imaging solutions at the whole heart level—e.g., for panoramic30 or volumetric assessment31 of electrophysiology—promise emergence of more affordable tools across experimental models and scales. In general, portable low-cost imaging systems are of interest in space-constrained and/or low-resource conditions, such as laboratories in the developing countries or in mobile deployments (on the field, in space, etc.). These developments when combined with human iPSC-CMs have high translational value for preclinical testing of new drugs and for personalized medicine. Multiparametric characterization of function can better inform drug risk during the preclinical evaluation. In this study, voltage and calcium mapping was done sequentially in the same dual-labeled samples, with the possibility for simultaneous mechanical wave mapping. In future studies, we intend to combine the two measurements using temporal multiplexing onto the same camera, as we have done in a microscopic version of all-optical electrophysiology.18 Comprehensive electromechanical responses obtained in human iPSC-CMs28 over space and time under various pacing conditions can be used to develop better in silico tools for prediction of drug action.55,56 AcknowledgmentsThe authors would like to thank Dr. Wei Liu for developing the current version of the analysis software and PhD student Weizhen Li for help with some experiments, notably the TSA treatment of cells. This work was supported in part by the National Science Foundation (Grant Nos. PFI 1827535 and EFMA 1830941) and the National Institutes of Health (Grant No. R01HL144157). Code, Data, and Materials AvailabilityThe datasets from this study are available upon request to the corresponding author. All data points are explicitly presented in the figures. ReferencesS. Weinberg, E. A. Lipke and L. Tung,
“In vitro electrophysiological mapping of stem cells,”
Methods Mol. Biol., 660 215
–237 https://doi.org/10.1007/978-1-60761-705-1_14
(2010).
Google Scholar
T. J. Herron, P. Lee and J. Jalife,
“Optical imaging of voltage and calcium in cardiac cells and tissues,”
Circ. Res., 110
(4), 609
–623 https://doi.org/10.1161/CIRCRESAHA.111.247494 CIRUAL 0009-7330
(2012).
Google Scholar
M. C. Müllenbroich et al.,
“Novel optics-based approaches for cardiac electrophysiology: a review,”
Front. Physiol., 12 769586 https://doi.org/10.3389/fphys.2021.769586 FROPBK 0301-536X
(2021).
Google Scholar
E. Entcheva and H. Bien,
“Macroscopic optical mapping of excitation in cardiac cell networks with ultra-high spatiotemporal resolution,”
Prog. Biophys. Mol. Biol., 92
(2), 232
–257 https://doi.org/10.1016/j.pbiomolbio.2005.10.003 PBIMAC 0079-6107
(2006).
Google Scholar
S. Rohr,
“Determination of impulse conduction characteristics at a microscopic scale in patterned growth heart cell cultures using multiple site optical recording of transmembrane voltage,”
J. Cardiovasc. Electrophysiol., 6
(7), 551
–568 https://doi.org/10.1111/j.1540-8167.1995.tb00428.x JCELE2 1045-3873
(1995).
Google Scholar
S. Rohr and B. M. Salzberg,
“Multiple site optical recording of transmembrane voltage (MSORTV) in patterned growth heart cell cultures: assessing electrical behavior, with microsecond resolution, on a cellular and subcellular scale,”
Biophys. J., 67
(3), 1301
–1315 https://doi.org/10.1016/S0006-3495(94)80602-2 BIOJAU 0006-3495
(1994).
Google Scholar
V. Sharma and L. Tung,
“Spatial heterogeneity of transmembrane potential responses of single guinea-pig cardiac cells during electric field stimulation,”
J. Physiol., 542
(2), 477
–492 https://doi.org/10.1113/jphysiol.2001.013197 JPHYA7 0022-3751
(2002).
Google Scholar
L. Tung and Y. Zhang,
“Optical imaging of arrhythmias in tissue culture,”
J. Electrocardiol., 39
(4 Suppl), S2
–S6 https://doi.org/10.1016/j.jelectrocard.2006.04.010 JECAB4 0022-0736
(2006).
Google Scholar
A. Arutunyan et al.,
“Localized injury in cardiomyocyte network: a new experimental model of ischemia-reperfusion arrhythmias,”
Am. J. Physiol. Heart Circ. Physiol., 280
(4), H1905
–H1915 https://doi.org/10.1152/ajpheart.2001.280.4.H1905
(2001).
Google Scholar
E. Entcheva et al.,
“Contact fluorescence imaging of reentry in monolayers of cultured neonatal rat ventricular myocytes,”
J. Cardiovasc. Electrophysiol., 11
(6), 665
–676 https://doi.org/10.1111/j.1540-8167.2000.tb00029.x JCELE2 1045-3873
(2000).
Google Scholar
G. Bub et al.,
“Bursting calcium rotors in cultured cardiac myocyte monolayers,”
Proc. Natl. Acad. Sci. U. S. A., 95
(17), 10283
–10287 https://doi.org/10.1073/pnas.95.17.10283
(1998).
Google Scholar
F. X. Witkowski et al.,
“Spatiotemporal evolution of ventricular fibrillation,”
Nature, 392
(6671), 78
–82 https://doi.org/10.1038/32170
(1998).
Google Scholar
J. M. Davidenko et al.,
“Stationary and drifting spiral waves of excitation in isolated cardiac muscle,”
Nature, 355
(6358), 349
–351 https://doi.org/10.1038/355349a0
(1992).
Google Scholar
R. A. Gray, A. M. Pertsov and J. Jalife,
“Spatial and temporal organization during cardiac fibrillation,”
Nature, 392
(6671), 75
–78 https://doi.org/10.1038/32164
(1998).
Google Scholar
P. Lee et al.,
“Simultaneous voltage and calcium mapping of genetically purified human induced pluripotent stem cell-derived cardiac myocyte monolayers,”
Circ. Res., 110
(12), 1556
–1563 https://doi.org/10.1161/CIRCRESAHA.111.262535 CIRUAL 0009-7330
(2012).
Google Scholar
G. Gintant et al.,
“Use of human induced pluripotent stem cell–derived cardiomyocytes in preclinical cancer drug cardiotoxicity testing: a scientific statement from the American Heart Association,”
Circ. Res., 125
(10), e75
–e92 https://doi.org/10.1161/RES.0000000000000291 CIRUAL 0009-7330
(2019).
Google Scholar
G. T. Dempsey et al.,
“Cardiotoxicity screening with simultaneous optogenetic pacing, voltage imaging and calcium imaging,”
J. Pharmacol. Toxicol. Methods, 81 240
–250 https://doi.org/10.1016/j.vascn.2016.05.003 JPTMEZ 1056-8719
(2016).
Google Scholar
A. Klimas et al.,
“Multimodal on-axis platform for all-optical electrophysiology with near-infrared probes in human stem-cell-derived cardiomyocytes,”
Prog. Biophys. Mol. Biol., 154 62
–70 https://doi.org/10.1016/j.pbiomolbio.2019.02.004 PBIMAC 0079-6107
(2020).
Google Scholar
A. Klimas et al.,
“OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology,”
Nat. Commun., 7 11542 https://doi.org/10.1038/ncomms11542 NCAOBW 2041-1723
(2016).
Google Scholar
E. Entcheva and M. W. Kay,
“Cardiac optogenetics: a decade of enlightenment,”
Nat. Rev. Cardiol., 18
(5), 349
–367 https://doi.org/10.1038/s41569-020-00478-0
(2021).
Google Scholar
R. A. B. Burton et al.,
““Optical control of excitation waves in cardiac tissue,” 12,”
Nat. Photonics, 9
(12), 813
–816 https://doi.org/10.1038/nphoton.2015.196 NPAHBY 1749-4885
(2015).
Google Scholar
E. Entcheva and G. Bub,
“All-optical control of cardiac excitation: combined high-resolution optogenetic actuation and optical mapping,”
J. Physiol., 594
(9), 2503
–2510 https://doi.org/10.1113/JP271559 JPHYA7 0022-3751
(2016).
Google Scholar
H. M. McNamara et al.,
“Optically controlled oscillators in an engineered bioelectric tissue,”
Phys. Rev. X, 6
(3), 031001 https://doi.org/10.1103/PhysRevX.6.031001 PRXHAE 2160-3308
(2016).
Google Scholar
C. M. Ambrosi et al.,
“Cardiac applications of optogenetics,”
Prog. Biophys. Mol. Biol., 115
(2–3), 294
–304 https://doi.org/10.1016/j.pbiomolbio.2014.07.001 PBIMAC 0079-6107
(2014).
Google Scholar
C. A. Werley, M.-P. Chien and A. E. Cohen,
“Ultrawidefield microscope for high-speed fluorescence imaging and targeted optogenetic stimulation,”
Biomed. Opt. Express, 8
(12), 5794
–5813 https://doi.org/10.1364/BOE.8.005794 BOEICL 2156-7085
(2017).
Google Scholar
C. M. Ambrosi and E. Entcheva,
“Optogenetic control of cardiomyocytes via viral delivery,”
Methods Mol. Biol., 1181 215
–228 https://doi.org/10.1007/978-1-4939-1047-2_19
(2014).
Google Scholar
Y.-L. Huang, A. S. Walker and E. W. Miller,
“A photostable silicon rhodamine platform for optical voltage sensing,”
J. Am. Chem. Soc., 137
(33), 10767
–10776 https://doi.org/10.1021/jacs.5b06644 JACSAT 0002-7863
(2015).
Google Scholar
W. Liu et al.,
“Simultaneous widefield voltage and interferometric dye-free optical mapping quantifies electromechanical waves in human iPSC-cardiomyocytes,”
(2022). https://doi.org/10.1101/2022.10.10.511562 Google Scholar
H. Bien, L. Yin and E. Entcheva,
“Calcium instabilities in mammalian cardiomyocyte networks,”
Biophys. J., 90
(7), 2628
–2640 https://doi.org/10.1529/biophysj.105.063321 BIOJAU 0006-3495
(2006).
Google Scholar
P. Lee et al.,
“Low-cost optical mapping systems for panoramic imaging of complex arrhythmias and drug-action in translational heart models,”
Sci. Rep., 7 43217 https://doi.org/10.1038/srep43217 SRCEC3 2045-2322
(2017).
Google Scholar
L. Sacconi et al.,
“KHz-rate volumetric voltage imaging of the whole Zebrafish heart,”
Biophys. Rep., 2
(1), 100046 https://doi.org/10.1016/j.bpr.2022.100046
(2022).
Google Scholar
E. Entcheva et al.,
“Fluorescence imaging of electrical activity in cardiac cells using an all-solid-state system,”
IEEE Trans. Biomed. Eng., 51
(2), 333
–341 https://doi.org/10.1109/TBME.2003.820376 IEBEAX 0018-9294
(2004).
Google Scholar
E. B. Bourgeois et al.,
“Simultaneous optical mapping of transmembrane potential and wall motion in isolated, perfused whole hearts,”
J. Biomed. Opt., 16
(9), 096020 https://doi.org/10.1117/1.3630115 JBOPFO 1083-3668
(2011).
Google Scholar
A. Matiukas et al.,
“Near-infrared voltage-sensitive fluorescent dyes optimized for optical mapping in blood-perfused myocardium,”
Heart Rhythm., 4
(11), 1441
–1451 https://doi.org/10.1016/j.hrthm.2007.07.012
(2007).
Google Scholar
G. Nagel et al.,
“Channelrhodopsin-2, a directly light-gated cation-selective membrane channel,”
Proc. Natl. Acad. Sci. U. S. A., 100
(24), 13940
–13945 https://doi.org/10.1073/pnas.1936192100
(2003).
Google Scholar
S. Hwang, T. Y. Kim and K. J. Lee,
“Complex-periodic spiral waves in confluent cardiac cell cultures induced by localized inhomogeneities,”
Proc. Natl. Acad. Sci. U. S. A., 102
(29), 10363
–10368 https://doi.org/10.1073/pnas.0501539102
(2005).
Google Scholar
S.-M. Hwang, K.-H. Yea and K. J. Lee,
“Regular and alternant spiral waves of contractile motion on rat ventricle cell cultures,”
Phys. Rev. Lett., 92
(19), 198103 https://doi.org/10.1103/PhysRevLett.92.198103 PRLTAO 0031-9007
(2004).
Google Scholar
A. B. Arrenberg et al.,
“Optogenetic control of cardiac function,”
Science, 330
(6006), 971
–974 https://doi.org/10.1126/science.1195929 SCIEAS 0036-8075
(2010).
Google Scholar
Z. Jia et al.,
“Stimulating cardiac muscle by light: cardiac optogenetics by cell delivery,”
Circ. Arrhythm. Electrophysiol., 4
(5), 753
–760 https://doi.org/10.1161/CIRCEP.111.964247 1941-3149
(2011).
Google Scholar
B. O. Bingen et al.,
“Light-induced termination of spiral wave arrhythmias by optogenetic engineering of atrial cardiomyocytes,”
Cardiovasc. Res., 104
(1), 194
–205 https://doi.org/10.1093/cvr/cvu179 CVREAU 0008-6363
(2014).
Google Scholar
S. Weinberg, N. Malhotra and L. Tung,
“Vulnerable windows define susceptibility to alternans and spatial discordance,”
Am. J. Physiol.-Heart Circ. Physiol., 298
(6), H1727
–H1737 https://doi.org/10.1152/ajpheart.01036.2009
(2010).
Google Scholar
U. Shah, H. Bien and E. Entcheva,
“Cardiac arrhythmogenesis and temperature,”
in Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.,
841
–844
(2006). https://doi.org/10.1109/IEMBS.2006.260090 Google Scholar
J. C. Williams and E. Entcheva,
“Optogenetic versus electrical stimulation of human cardiomyocytes: modeling insights,”
Biophys. J., 108
(8), 1934
–1945 https://doi.org/10.1016/j.bpj.2015.03.032 BIOJAU 0006-3495
(2015).
Google Scholar
T. A. Quinn et al.,
“Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing,”
Prog. Biophys. Mol. Biol., 107
(1), 4
–10 https://doi.org/10.1016/j.pbiomolbio.2011.07.001 PBIMAC 0079-6107
(2011).
Google Scholar
G. Salama, R. Lombardi and J. Elson,
“Maps of optical action potentials and NADH fluorescence in intact working hearts,”
Am. J. Physiol., 252
(2 Pt 2), H384
–394 https://doi.org/10.1152/ajpheart.1987.252.2.H384 AJPHAP 0002-9513
(1987).
Google Scholar
G. Kanaporis et al.,
“Optical mapping at increased illumination intensities,”
J. Biomed. Opt., 17
(9), 0960071 https://doi.org/10.1117/1.JBO.17.9.096007 JBOPFO 1083-3668
(2012).
Google Scholar
H. Dana et al.,
“Sensitive red protein calcium indicators for imaging neural activity,”
eLife, 5 e12727 https://doi.org/10.7554/eLife.12727
(2016).
Google Scholar
D. R. Hochbaum et al.,
“All-optical electrophysiology in mammalian neurons using engineered microbial rhodopsins,”
Nat. Methods, 11
(8), 825
–833 https://doi.org/10.1038/nmeth.3000 1548-7091
(2014).
Google Scholar
N. Shaheen et al.,
“Human induced pluripotent stem cell-derived cardiac cell sheets expressing genetically encoded voltage indicator for pharmacological and arrhythmia studies,”
Stem Cell Rep., 10
(6), 1879
–1894 https://doi.org/10.1016/j.stemcr.2018.04.006
(2018).
Google Scholar
R. Shinnawi et al.,
“Monitoring human-induced pluripotent stem cell-derived cardiomyocytes with genetically encoded calcium and voltage fluorescent reporters,”
Stem Cell Rep., 5
(4), 582
–596 https://doi.org/10.1016/j.stemcr.2015.08.009
(2015).
Google Scholar
C. A. Werley et al.,
“Geometry-dependent functional changes in iPSC-derived cardiomyocytes probed by functional imaging and RNA sequencing,”
PLoS One, 12
(3), e0172671 https://doi.org/10.1371/journal.pone.0172671 POLNCL 1932-6203
(2017).
Google Scholar
C. J. Chua et al.,
“Integration of engineered ‘spark-cell’ spheroids for optical pacing of cardiac tissue,”
Front. Bioeng. Biotechnol., 9 658594 https://doi.org/10.3389/fbioe.2021.658594
(2021).
Google Scholar
C. Credi et al.,
“Fast optical investigation of cardiac electrophysiology by parallel detection in multiwell plates,”
Front. Physiol., 12 692496 https://doi.org/10.3389/fphys.2021.692496 FROPBK 0301-536X
(2021).
Google Scholar
M. Ashraf et al.,
“Random access parallel microscopy,”
eLife, 10 e56426 https://doi.org/10.7554/eLife.56426
(2021).
Google Scholar
D. C. Kernik et al.,
“A computational model of induced pluripotent stem-cell derived cardiomyocytes incorporating experimental variability from multiple data sources,”
J. Physiol., 597
(17), 4533
–4564 https://doi.org/10.1113/JP277724 JPHYA7 0022-3751
(2019).
Google Scholar
M. Paci et al.,
“All-optical electrophysiology refines populations of in silico human iPSC-CMs for drug evaluation,”
Biophys. J., 118
(10), 2596
–2611 https://doi.org/10.1016/j.bpj.2020.03.018 BIOJAU 0006-3495
(2020).
Google Scholar
BiographyYuli W. Heinson received her BS, MS, and PhD degrees in physics from Harbin Normal University, China, in 2010, Creighton University, Omaha, Nebraska, USA, in 2012, and Kansas State University, Manhattan, Kansas, USA, in 2016, respectively. She is a postdoctoral associate at George Washington University. Her research interests lie in the design and development of optical instruments. Julie L. Han received her BS degree in chemistry from Bryn Mawr College. She is a PhD student at George Washington University. Her prior research was on green chemistry methods and signaling pathways in cancer. Her doctoral dissertation focuses on innovative optical, optogenetic, and gene modulation (CRISPRi/a) methods for control of cardiomyocytes. Emilia Entcheva is a professor of biomedical engineering and directs the Cardiac Optogenetics and Optical Imaging Laboratory at George Washington University. She is a lifetime SPIE and Optica member and an AIMBE fellow. Her group has been involved in the extension of optogenetic methods to cardiac applications, their integration with optical mapping techniques, and the deployment of all-optical electrophysiology in human stem-cell derived cardiomyocytes. |
CITATIONS
Cited by 9 scholarly publications.
Calcium
Imaging systems
Electrophysiology
Optogenetics
Portability
Cameras
Light sources and illumination