Electroanatomic mapping the interrelation of intracardiac electrical activation with anatomic locations has become an important tool for clinical assessment of complex arrhythmias. Optical mapping of cardiac electrophysiology combines high spatiotemporal resolution of anatomy and physiological function with fast and simultaneous data acquisition. If applied to the clinical setting, this could improve both diagnostic potential and therapeutic efficacy of clinical arrhythmia interventions. The aim of this study was to explore this utility in vivo using a rat model. To this aim, we present a single-camera imaging and multiple light-emitting-diode illumination system that reduces economic and technical implementation hurdles to cardiac optical mapping. Combined with a red-shifted calcium dye and a new near-infrared voltage-sensitive dye, both suitable for use in blood-perfused tissue, we demonstrate the feasibility of in vivo multi-parametric imaging of the mammalian heart. Our approach combines recording of electrophysiologically-relevant parameters with observation of structural substrates and is adaptable, in principle, to trans-catheter percutaneous approaches.
Citation: Lee P, Taghavi F, Yan P, Ewart P, Ashley EA, et al. (2012) In Situ Optical Mapping of Voltage and Calcium in the Heart. PLoS ONE 7(8): e42562. doi:10.1371/journal.pone.0042562
Editor: Mathias Baumert, University of Adelaide, Australia
Received: March 7, 2012; Accepted: July 9, 2012; Published: August 2, 2012
Copyright: © Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Clarendon Fund Scholarship (to PL), Papsworth Hospital National Health Service Foundation Trust (Gledhill Fellowship Reference 175-2009-MD398 to FT), National Institutes of Health (NIH) New Investigator DP2 award (OD004613 to EAA), National Institute of Biomedical Imaging and Bioengineering (R01EB001963NIH to PY and LML), and the British Heart Foundation (to PK and CB), and NIH T32 award (HL094274-01A2 to CEW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Electrophysiological testing is a mainstay of clinical arrhythmia diagnosis. For simple arrhythmias, this involves a limited number of intracardiac electrogram measurements. But for complex arrhythmia, where mechanisms often are associated with underlying structural heart disease, spatially-resolved electroanatomic mapping (EAM) improves the efficacy of ablation . The principle behind EAM relies on registering electrical measurements in three-dimensional space to determine the tissue location underlying the arrhythmia focus. However, EAM catalogs the spatial context of electrical signals using an external localization system and triangulates position relative to a reference patch placed externally , rather than by directly visualizing underlying cardiac tissue anatomy and physiology simultaneously .
By comparison, basic science studies of arrhythmia have tended to rely on the higher spatiotemporal resolution of optical mapping using fluorescent probes both to image anatomy directly and to measure relevant physiological parameters such as transmembrane voltage (Vm) and intracellular calcium ([Ca2+]i) dynamics , . Using the isolated Langendorff-perfused mammalian heart, optical mapping of these two key parameters has played a pivotal role in arrhythmia research , . Vm mapping has also been used to delineate normal, peri-infarct, and scarred tissue rapidly in the in vitro setting . Yet, the use of optical mapping in vivo has only been published once to our knowledge (in 1998) . In our view, this is largely because it is experimentally challenging. However, a number of continued technological developments have now made the applicability of optical mapping to in vivo preparations more feasible, opening the door to beginning the process towards clinical development of an optical mapping tool . Specifically, second-generation voltage-sensitive dyes with enhanced photostability and emission spectra in the near-infrared range have been developed, making them suitable for imaging in the presence of blood . In addition, modern camera frame-rates permit simultaneous multi-color imaging using a single detector , in particular if combined with multi-band emission filters for optical mapping . Moreover, conventional light sources can be replaced now by powerful light-emitting-diodes (LEDs) which we and others have demonstrated to offer stable illumination that can also be switched on or off with nanosecond-microsecond response times, simplifying multi-parametric imaging . Based on these developments, in combination with a multi-band emission filter, we present a multi-parametric single-camera multi-LED imaging system and show its suitability for in vivo cardiac electrophysiology data acquisition.
We chose di-4-ANBDQPQ  to report Vm, and rhod-2(AM) to report [Ca2+]i changes, as both dyes had previously been used successfully in diluted-blood perfused Langendorff hearts . To avoid cross-talk between dye emissions, we made use of the ratiometric properties of di-4-ANBDQPQ , . As shown in Figure 1A, excitation of this dye with either blue or red wavelengths produces action potential (AP) fluorescence signals that increase or decrease with changes in Vm, respectively (although not used in this study, ratiometric Vm imaging can be used to reduce motion artifacts). During exposure to green light (used for excitation of rhod-2(AM)) there is no change in voltage-related emission, as this occurs at the excitation-isosbestic point for di-4-ANBDQPQ. This approach allows simultaneous Vm and [Ca2+]i imaging (Figure 1) without emitted signal cross-talk.
Figure 1. Schematic illustration of multi-parametric imaging approach.
(A) di-4-ANBDQPQ fluorescence in a Langendorff-perfused rat heart (sinus rhythm), excited with blue (blue LED, 470±10 nm filter), green (green LED, 540±12.5 nm filter) and red (red LED, 640±10 nm filter) wavelengths. These fluorescence signals (taken from the 4×4-pixel white-square region on the left-ventricle) were collected through a custom-made multi-band emission filter (F3 in B, C). The green trace ([Ca2+]i) shows negligible emission changes when di-4-ANBDQPQ is excited at the excitation-isosbestic point. Scale bar = 5 mm. (B) Schematic outline of the imaging system, highlighting key components. Since only one camera is used, the system requires no challenging optical alignment. Excitation sources Ex1: red LED with a 640±10 nm filter (F1), Ex2: green LED with a 540±12.5 nm filter (F2). (C) Transmission spectrum of the custom multi-band emission filter that passes both Vm (Em1) and [Ca2+]i (Em2) emitted fluorescence signals. F1 and F2 excitation filter spectra are shown as dashed curves. (D) Basic principle behind the single-camera multi-LED approach: During any frame exposure (occurring between the vertical dashed lines), the parameter being measured by the camera sensor is determined by the excitation source (either Ex1 or Ex2) that is switched on during that period. A sufficiently fast camera (compared to Em1 and Em2 signal dynamics), and interpolation between measured data points, provides simultaneous measures of multiple parameters, here Vm and [Ca2+]i. For these images, blebbistatin was used to eliminate the contribution of motion to the signals.doi:10.1371/journal.pone.0042562.g001
A schematic illustration of the overall single-camera imaging/multiple-LED excitation system is shown in Figure 1B. The multi-band emission filter used (F3 in Figure 1B) was custom-fabricated by Chroma Technology (Bellows Falls, VT, USA) to provide transmission bands for fluorescence emitted from both di-4-ANBDQPQ (Em1) and rhod-2(AM) (Em2; Figure 1C). Figure 1D illustrates the principle behind our approach: During one camera frame-exposure, excitation light 1 (Ex1) is turned on, producing Vm signal emission collected through the Em1-band; during the next frame exposure, excitation light source 2 (Ex2) is turned on, producing [Ca2+]i signal emission collected through the Em2-band, and so on. Since the camera frame rate (here >500 frames-per-second; kHz frame rates can be achieved with pixel-binning) is faster than physiological signal dynamics, with interpolation, one can record electrophysiologically-relevant dynamic changes in both Vm and [Ca2+]i (such as the action potential [AP] and the calcium transient [CaT]), and assess AP and CaT propagation.
Figure 2 shows results obtained using the imaging system in proof-of-principle work on saline-perfused rat hearts in Langendorff-mode. In Figure 2A, AP and CaT fluorescence signals from one location on the left ventricle are plotted, while Figure 2B shows a time series of normalized Vm and [Ca2+]i fluorescence intensity maps, highlighting the well-known delay (here ~17 ms) of the CaT peak relative to AP upstroke (see Movie S1). Figure S1 shows AP and CaT fluorescence signals from four other points on the same heart, demonstrating signal quality across the whole field of view. Unless otherwise stated for these images and what follows, blebbistatin was used to reduce the contribution of motion to the fluorescence signals.
Figure 2. Simultaneous imaging of Vm and [Ca2+]i in a Langendorff-mode saline-perfused rat heart.
(A) Vm (red) and [Ca2+]i (green) fluorescence signals (camera signals on a 16-bit scale) taken from the 4×4-pixel white-square region on the left ventricle. (B) Normalized fluorescence intensity maps (colorbar shown) at progressive time points during sinus rhythm. The delay of the CaT relative to the AP peak (~17 ms from transients in part A) is clearly visible. Scale bar = 5 mm. For these images, blebbistatin was used to eliminate the contribution of motion to the signals.doi:10.1371/journal.pone.0042562.g002
Next, we applied our imaging system to the rat heart in vivo using di-4-ANBDQPQ and rhod-2(AM) in isolation. Figure 3 shows the in vivo preparation used (details can be found in the Materials and Methods section). In Figure 3F, we show summed results of the heart rate (in ms), PR, QRS, and QTc intervals for far field EKG recordings immediately before and 5 minutes after loading of voltage dye. We found no appreciable differences in these EKG traces (n = 3). In addition, mean arterial pressure (MAP) is shown again immediately before and 5 minutes after loading with voltage dye. There was no appreciable effect on MAP with voltage dye loading. As noted in the Materials and Methods section, to reduce motion contamination in both the Vm and [Ca2+]i fluorescence, blebbistatin was added during imaging. With the addition of blebbistatin we used cardiopulmonary bypass (CPB) circuit to maintain blood pressure as described in the Materials and Methods section. Figure 4A shows normalized Vm fluorescence intensity maps at progressive time points in a heart in vivo (see Movie S2). Figure 4B shows normalized Vm fluorescence intensity maps at progressive time points 1 hour after LAD suture ligation to induce local myocardial infarction (to be differentiated from scar) (see Movie S3). In the left panel, a raw grayscale fluorescence image of Vm signal emission during diastole shows that the infarcted tissue is darker than surrounding normal myocardium (upper right quadrant), as the dye cannot reach the infarct. In the normalized Vm fluorescence intensity maps, AP propagation proceeds through viable tissue (best appreciated in Movie S3). In Figure 4C, we show a necropsy specimen of the endocardial surface of the same heart, highlighting Vm emission differences at the normal (bright) and infarcted (dark) tissue. The left panel in Figure 4C shows the specimen submersed beneath ~1 cm of blood, while on the right, a coverslip has been placed on the tissue (bubbles highlight the coverslip-tissue interface). This gross demonstration of normal versus infarct tissue illustrates the ability of the dye to differentiate between the two tissue types rapidly. Clearly, collateralization of infarcted tissue by remodeling, and identification of scar from viable tissue will be critical to investigate, as has been done using voltage dyes in vitro . But, this was not possible in this small animal model because, while the LAD infarct did indeed lead to scar formation (as confirmed in subsequent cardiac MRI studies conducted in hearts; data not shown), we did not see collateralization in our infarct model. In Figure 4D, we show an example of calcium fluorescence measurements in vivo. Here, normalized [Ca2+]i fluorescence intensity maps are shown for the epicardial surface containing the atria. The activity shown is during atrial fibrillation. Because the electrical activation frequency of atrial fibrillation is exceedingly high and (~8–9 Hz in the rat) and disorganized, atrial contraction is uncoordinated. While this is detrimental clinically, imaging is improved as movement is minimized (no blebbistatin needed; see Movie S4).
Figure 3. In vivo rat whole-heart preparation.
(A) A schematic of the rat cardiopulmonary bypass (CPB) circuit based on a standard pump circuit (EJV: right external jugular vein catheter, VR: venous reservoir, RP: roller pump, MO: miniature membrane oxygenator, FA: right femoral artery catheter, AA: ascending aorta catheter via right carotid artery). In CPB mode, blood is pumped from the EJV through the MO to the FA, epicted by arrows in the figure. Dye is injected through the AA catheter. (B) Whole-animal view of the preparation. (C) Zoomed-in view of the open chest, with the heart in clear view (EL: esophageal ECG lead, ET: endotracheal tube). (D) An example of RVP at 12 Hz to drop blood pressure (BP; red trace), after which dye was injected via the aortic root. The BP recovered soon after cessation of pacing. Immediately after loading as shown here, the BP increased reflecting the Frank-Starling effect of prolonged loading. The accompanying ECG (black trace) is also shown. (E) Zoomed-in view of the heart immediately after rhod-2(AM) injection demonstrating a fluorescent coronary angiogram. (F) Pooled data on heart rate (HR in ms), mean arterial BP (MAP in mmHg—right axis), as well as far field EKG parameters of PR, QRS, and QTc intervals (in ms) for immediately before (black) and at 5 minutes after loading with voltage dye (red).doi:10.1371/journal.pone.0042562.g003
Figure 4. In vivo imaging of Vm and [Ca2+]i dynamics in rat ventricles/atrium, during sinus rhythm and in atrial fibrillation.
(A) Normalized Vm fluorescence intensity maps (colorbar shown) at progressive time points of the cardiac cycle with the heart in sinus rhythm (red arrow indicates electrical wave propagation direction). (B) Normalized Vm fluorescence intensity maps at sequential time points of the heart in sinus rhythm, 1 hour after suture-ligation of the proximal LAD (to mimic myocardial infarction; red arrow indicates electrical wave propagation direction). In the left-most (raw grayscale) panel, the infarcted tissue can be recognized as the dark region (one side demarcated by dotted white line) in the top-right quadrant of the image; in the normalized fluorescence maps it is recognized as the persistently blue region in the same area. Suture location is indicated with a white arrow. The asterisk marks lung tissue. (C) Endocardial view of same infracted heart as in (B), after necropsy, submerged in blood (left) and with a coverslip gently placed on the tissue (right). The bright areas correspond to non-infarcted tissue, while the dark areas correspond to infarcted tissue where the dye is absent. The dashed white line demarcates heart tissue border. Note the air bubbles on the left side of the panel at the coverslip-tissue interface. (D) Normalized [Ca2+]i fluorescence intensity maps at sequential camera frames in part of the left and right atria during atrial fibrillation, induced by global ventilatory hypoxia. Scale bar = 5 mm. For A and B, blebbistatin was used to reduce, but not eliminate, the contribution of motion to the signals, while for C, no blebbistatin was used. Tissue shown in B and C correspond to a different heart than that shown in A.doi:10.1371/journal.pone.0042562.g004
In the final set of experiments, we dual-loaded the in vivo heart with both rhod-2(AM) and di-4-ANBDQPQ. Figure 5A shows Vm (red) and [Ca2+]i (green) fluorescence signals from a point on the left ventricle, demonstrating AP and CaT measurements (some motion artifacts present in signals). Figure 5B shows normalized Vm and [Ca2+]i fluorescence intensity maps at progressive time points from the same heart (see Movie S5). Figure 5C shows Vm (top traces) and [Ca2+]i (bottom traces) fluorescence signals from three points on the left ventricle of another heart, demonstrating varying motion artifact effects when contraction is not completely eliminated. In contrast to the loading of di-4-ANBDQPQ, during which hemodynamic effects were not seen, rhod-2(AM) application by direct root injection required CPB support, as the [Ca2+]i dye could lead to asystolic arrest during initial injection, with subsequent beating recoverable with circulatory support (which was always needed for calcium dye experiments). Dye loading protocols in vivo need to be optimized. Our data, however, shows that it is possible in principal to conduct combined Vm and [Ca2+]i imaging in the blood-perfused mammalian heart in vivo.
Figure 5. In vivo imaging of Vm and [Ca2+]i dynamics in rat ventricles during sinus rhythm.
(A) AP (red) and CaT (green) fluorescence signals taken from the 4×4-pixel white-square region highlighted in the top panel (left ventricle). (B) Normalized fluorescence intensity maps (colorbar shown) for Vm and [Ca2+]i during sinus rhythm from the same heart; note the previously mentioned delay between Vm and [Ca2+]i peaks (red arrow indicates electrical wave propagation direction). (C) AP (top traces) and CaT (bottom traces) fluorescence signals taken from three 4×4-pixel square regions from the left ventricle of another heart, showing varying motion artifact effects. Scale bar = 5 mm. For these images, blebbistatin was used to reduce, but not eliminate, the contribution of motion to the signals. For B, non-uniform dye-loading and motion artifact are the cause of signal quality heterogeneity.doi:10.1371/journal.pone.0042562.g005
Here, we introduce a multi-parametric imaging approach, building on a near-infrared voltage dye and red-shifted calcium dye, which relies on a multi-band filter to study two key parameters responsible for arrhythmia in vivo using a single camera. The technique, also suitable for Langendorff-perfused hearts, is scalable and less expensive than traditional optical mapping methods. In contrast to the single previous report on in vivo optical mapping , our system is adaptable, in principle, to trans-catheter endoscopic methods, such as used to visualize the endocardium in humans , , , , opening the door to clinical development as an arrhythmia mapping tool.
Because EAM suffers from suboptimal spatiotemporal resolution and can be very time consuming , , alternative invasive modalities have been developed to circumvent some of these limitations. As an example, direct endocardial visualization through optical catheters can simplify the procedure of ablation by relying on visualized anatomy through a saline-filled balloon , . However, visualization catheters do not report complex electrical activity by comparison to EAM. With its high spatiotemporal resolution, optical mapping may meet this need by allowing for complex electrophysiology and direct anatomy to be mapped simultaneously through a minimally invasive approach. In addition, because optical catheters can visualize ablation lesions , in combination with optical mapping, it may be possible to visualize the interplay of ablation lesions and electrical block. Optical mapping also allows [Ca2+]i measurements, a parameter not accessible to traditional EAM. Given the interplay of Vm and [Ca2+]i in arrhythmogenesis , clinically mapping this parameter could be fruitful.Finally, optical mapping can be conducted beat by beat, allowing for mapping of transient arrhythmias or infrequent ectopic events.
Our study has several limitations. First and foremost, we have yet to couple our imaging system to a direct visualization catheter. Second, in our experiments, excitation-contraction un-couplers were needed to reduce motion artifact from fluorescence transients, which is undesirable. However, motion correction algorithms  and ratiometric imaging of fluorescence transients  have been used extensively to deal with motion artifacts in signals. In the isolated heart preparation, mechanical restriction or ratiometric imaging with post-acquisition motion tracking has been shown to significantly reduce motion artifacts, but imaging a strongly contracting whole-heart is still an unsolved problem . Indeed, an even simpler approach has been used with direct visualization catheters where local mechanical immobilization by the endocardial balloon successfully limits motion artifacts , even as applied to high resolution laser based ablation in patients . Third, while we found no evidence of short-term detrimental effects of di-4-ANBDQPQ, long term toxicity studies need to be done. However, the recent track record in voltage-sensitive dye development has been impressive, making us optimistic overall. Fourth, the calcium arrest seen during in vivo loading is thought to be caused by the calcium-buffering properties of the dye on either intra- or extracellular calcium levels. Further exploration of lower-affinity calcium dyes with red-shifted emissions may prove fruitful. In spite of these significant limitations discussed above, this proof-of-principle investigation confirms that ‘optical EAM’ is possible in vivo and argues for continued development.
Materials and Methods
Studies were approved by the Stanford University Administrative Panel on Laboratory Animal Care and conform to the Guide for the Care and Use of Laboratory Animals published by the National Institutes of Health.
Our system was constructed from readily-available optical filters, lenses, LEDs, electronics, and a single high-speed, electron-multiplied charge-coupled-device (EMCCD) camera (Photometrics, Tucson, AZ, USA). We measured Vm using di-4-ANBDQPQ (Berlin Center for Cell Analysis and Modeling, University of Connecticut, USA) and [Ca2+]i using rhod-2(AM) (Molecular Probes, Eugene, OR, USA). Di-4-ANBDQPQ was excited with Ex1: LED CBT-90-R (peak power output 32 W; peak wavelength 628 nm; Luminus Devices, Billerica, MA, USA) using excitation filter D640/20× (Chroma Technology, Bellows Falls, VT, USA). Rhod-2(AM) was excited with Ex2: LED CBT-90-G (peak power output 58 W; peak wavelength 524 nm; Luminus Devices) with excitation filter D540/25× (Chroma Technology). Light from the LEDs was collimated with plano-convex lenses (LA1951; Thorlabs, Newton, NJ, USA). Fluorescence emission from dye-loaded hearts was passed through custom-made multi-band emission filter F3, available from Chroma (ET585/50-800/200 m; Chroma Technology), with high-percentage transmission spectra for both emission bands (~560–610 nm and ≥700 nm), and collected with a fast camera-suitable lens (f/# 0.95; DO-2595; Navitar). Fluorescence images were taken with a high-speed EMCCD camera (Cascade® 128+ or Evolve™ 128, Photometrics) running at 510 (Cascade) or 530 (Evolve) frames-per-second (both at 128×128 pixels).
A microcontroller-based interface was implemented to synchronize excitation light switching with EMCCD camera frame exposure periods (in our experiments, the camera ran off its internal clock; i.e. the camera was master and the LEDs were slaves). LEDs were controlled with a custom-built high-power LED driver circuit that enables illumination power to be tuned, and light output to be switched in the kHz range. An eight-processor microcontroller (Propeller chip; Parallax, Rocklin, CA, USA) was used to control and coordinate all major components of the set-up. Control software for time-critical tasks was written in the microcontroller's assembly language, to ensure a time resolution of 50 ns. Communication with a standard desktop computer was implemented via a USB interface module (UM245R; Future Technology Devices International, Glasgow, UK). Custom software, written in MATLAB (The MathWorks, Natick, MA) was used to design experiments, to communicate with the microcontroller, and to perform optical mapping image processing. All electronic components used to build the microcontroller-based interface were acquired from major electronic components distributors (e.g. Digi-Key, Thief River Falls, MN, USA). Circuit schematics can be made available upon request.
Isolated Langendorff-perfused rat heart
Hearts from female Wistar rats (n = 3) weighing 250–350 g were isolated after cervical dislocation in accordance with Schedule 1 of the UK Home Office Animals (Scientific Procedures) Act of 1986, and swiftly connected to a Langendorff setup. Hearts were perfused at a constant rate of 5 mL/min with Tyrode's solution (containing, in mmol/L: NaCl 140, CaCl2 1.8, KCl 5.4, MgCl2 1, Glucose 11, HEPES 5; bubbled with oxygen; pH 7.4). All chemicals were obtained from Sigma-Aldrich (Dorset, UK) if not otherwise stated.
Fluorescent dyes were sequentially injected into the aortic cannula for coronary perfusion. Hearts were first stained by re-circulating perfusion with 50 mL of 10 µmol/L rhod-2(AM) for 30 min. The myocardium was then stained by delivering, without recirculation, a 20 µL bolus of 27.3 mmol/L (in pure ethanol) di-4-ANBDQPQ, applied over 5 min (i.e. diluted in 25 mL perfusate).  To improve di-4-ANBDQPQ loading, Pluronic F-127 (Molecular Probes) was added to the bolus at a final concentration of 0.2–0.5%.
Excitation-contraction coupling (ECC) was blocked for some of the final imaging studies with blebbistatin (Sigma-Aldrich), using a concentration of 10 µmol/L . All experiments were conducted at 36±1°C.
In vivo rat animal model
Male Sprague-Dawley rats (250–350 g) were anesthetized with 1–2% isoflurane in oxygen. Rats were maintained at 37°C and depth of anesthesia was monitored throughout according to standard protocols (APLAC, Stanford University). Tracheotomy was established with a 14-gauge cannula and the animal was ventilated at a pressure support of 15 mmHg at 60 breaths per minute (Kent Scientific, San Diego, CA, USA). A standard sternotomy was then performed. The right femoral artery (FA), external jugular vein (EJV), and ascending aorta (AA), via the carotid artery (CA), were cannulated with polyethylene tubing. Heparin (1,000 units/kg, Sigma-Aldrich) was administered intravenously (Figure 3). A 1.4 Fr conductance catheter (Millar Instruments, Houston, Texas, USA) was introduced via the esophagus to provide an ECG lead. Blood pressure was monitored with a pressure transducer (Hugo Sachs Electrical, March-Hugstetten, Germany) attached to the side-port of the FA cannula. For experiments with ventricular pacing, a pacing stimulator (Millar Instruments) was placed on the left ventricular epicardial apex. Dyes were loaded as specified in the text via the CA catheter. For select experiments as specified in the text, a cardiopulmonary bypass (CPB) circuit was used to maintain a mean coronary perfusion pressure of 60 mmHg, on average (Figure 3A) . The CPB circuit involved a micro-peristaltic pump (Digital Reglo Pump Model 1329, Ismatec Ltd., Wertheim-Mondfeld, Germany), in line with the tubing and a miniature membrane oxygenator (Living Systems Inc St. Albans, Vermont, USA), and in parallel to a venous reservoir, which was utilized to avoid air leaks. The circuit was primed with 5 mL of heparinized saline (20 units/mL) to remove all air. The CPB circuit was attached in series to the EJV and FA, and run in a retrograde manner when used.
Figures 3B and 3C show photographs of the imaging camera view of the preparation. Traditional coronary catheterization has already been employed to load voltage dyes in larger animals without complications , but was impractical in the rat. Therefore, dyes were injected into the ascending aorta via the carotid artery and towards the coronary circulation. To accomplish this, blood pressure had to be reduced to allow sufficient coronary perfusion with the dyes. As shown in Figure 3D and 3E, blood pressure was reduced through combination of rapid ventricular pacing (RVP, 12 Hz) to impair ventricular diastolic filling, thereby reducing stroke volume sufficiently to decrease arterial blood pressure, similarly to what done clinically during stent-valve implantation . Once blood pressure was reduced sufficiently to decrease resistance to injection (Figure 3D), the aorta was temporarily cross-clamped, and dye was injected through the carotid artery catheter, mimicking the clinical aortic root injections of contrast agents . Figure 3E shows a still image during dye loading (rapidly thereafter the dye leaves the vascular space because of its amphiphilic properties. We found that RVP and cross-clamp periods not exceeding 10 seconds were sufficient to permit dye loading through the coronary circulation. Blebbistatin was added to the circulation during final imaging to reduce wall motion . When blebbistatin was used, cardiopulmonary bypass was used to preserve coronary perfusion.
Single Vm mapping experiments (n = 3) were possible within ~5 min of dye loading, while dual Vm/[Ca2+]i mapping (n = 3) required ~30 min before imaging (prolonged waiting time necessary for rhod-2(AM) de-esterification inside the cells; di-4-ANBDQPQ was loaded after rhod-2(AM)). For the coronary infarct model, the proximal left anterior descending coronary artery (LAD) was ligated with a 4-0 suture. 1 hour was allowed to pass to mimic acute myocardial infarction prior to imaging, after which dye was injected as described above (in the presence of the tied-off LAD ligature).
Custom MATLAB software was used to perform optical map image processing. Signals were filtered (in time) with local regression using weighted linear least squares and a 1st degree polynomial model (MATLAB's built-in smooth function) and images were filtered using 2D median filtering (MATLAB's built-in medfilt2 function).
More Optical transients of Figure 1 .
Optical mapping video of Figure 2B .
Optical mapping video of Figure 4A .
Optical mapping video of Figure 4B .
Optical mapping video of Figure 4D .
Optical mapping video of Figure 5B .
We would like to thank Photometrics for graciously loaning their Evolve-128 EMCCD camera for the in vivo studies.
Conceived and designed the experiments: PL FT PY CB CEW. Performed the experiments: PL FT CB CEW. Analyzed the data: PL PY CB CEW. Contributed reagents/materials/analysis tools: PE EAA LML PK. Wrote the paper: PL CEW.
- 1. Bhakta D, Miller JM (2008) Principles of electroanatomic mapping. Indian Pacing Electrophysiol J 8: 32–50.
- 2. Gepstein L, Hayam G, Ben-Haim SA (1997) A novel method for nonfluoroscopic catheter-based electroanatomical mapping of the heart. In vitro and in vivo accuracy results. Circulation 95: 1611–1622. doi: 10.1161/01.cir.95.6.1611
- 3. Efimov IR, Nikolski VP, Salama G (2004) Optical imaging of the heart. Circ Res 95: 21–33.
- 4. Salama G, Hwang SM (2009) Simultaneous optical mapping of intracellular free calcium and action potentials from Langendorff perfused hearts. Curr Protoc Cytom Chapter 12: Unit 12 17. doi: 10.1002/0471142956.cy1217s49
- 5. Skrzypiec-Spring M, Grotthus B, Szelag A, Schulz R (2007) Isolated heart perfusion according to Langendorff—still viable in the new millennium. J Pharmacol Toxicol Methods 55: 113–126. doi: 10.1016/j.vascn.2006.05.006
- 6. Bers DM (2008) Calcium cycling and signaling in cardiac myocytes. Annu Rev Physiol 70: 23–49. doi: 10.1146/annurev.physiol.70.113006.100455
- 7. Ding C, Gepstein L, Nguyen DT, Wilson E, Hulley G, et al. (2010) High-resolution optical mapping of ventricular tachycardia in rats with chronic myocardial infarction. Pacing Clin Electrophysiol 33: 687–695. doi: 10.1111/j.1540-8159.2010.02704.x
- 8. Dillon SM, Kerner TE, Hoffman J, Menz V, Li KS, et al. (1998) A system for in-vivo cardiac optical mapping. IEEE Eng Med Biol Mag 17: 95–108. doi: 10.1109/51.646226
- 9. Herron TJ, Lee P, Jalife J (2012) Optical imaging of voltage and calcium in cardiac cells & tissues. Circ Res 110: 609–623. doi: 10.1161/circresaha.111.247494
- 10. Matiukas A, Mitrea BG, Qin M, Pertsov AM, Shvedko AG, et al. (2007) Near-infrared voltage-sensitive fluorescent dyes optimized for optical mapping in blood-perfused myocardium. Heart Rhythm 4: 1441–1451. doi: 10.1016/j.hrthm.2007.07.012
- 11. Waggoner AS, Wachman ES, Farkas DL (2001) Optical filtering systems for wavelength selection in light microscopy. Curr Protoc Cytom Chapter 2: Unit 2 4. doi: 10.1002/0471142956.cy0204s15
- 12. Lee P, Bollensdorff C, Quinn TA, Wuskell JP, Loew LM, et al. (2011) Single-sensor system for spatially resolved, continuous, and multiparametric optical mapping of cardiac tissue. Heart Rhythm 8: 1482–1491. doi: 10.1016/j.hrthm.2011.03.061
- 13. Entcheva E, Kostov Y, Tchernev E, Tung L (2004) Fluorescence imaging of electrical activity in cardiac cells using an all-solid-state system. IEEE Trans Biomed Eng 51: 333–341. doi: 10.1109/tbme.2003.820376
- 14. Qian YW, Clusin WT, Lin SF, Han J, Sung RJ (2001) Spatial heterogeneity of calcium transient alternans during the early phase of myocardial ischemia in the blood-perfused rabbit heart. Circulation 104: 2082–2087. doi: 10.1161/hc4201.097136
- 15. Anh DJ, Eversull CS, Chen HA, Mofrad P, Mourlas NJ, et al. (2008) Characterization of human coronary sinus valves by direct visualization during biventricular pacemaker implantation. Pacing Clin Electrophysiol 31: 78–82. doi: 10.1111/j.1540-8159.2007.00928.x
- 16. Eversull CS, Lin B, Irani AR, Quigley ML, Mourlas NJ, et al. (2009) Direct visualization of cardiac radiofrequency ablation lesions. J Cardiovasc Transl Res 2: 198–201. doi: 10.1007/s12265-009-9094-9
- 17. Anh DJ, Chen HA, Eversull CS, Mourlas NJ, Mead RH, et al. (2006) Early human experience with use of a deflectable fiberoptic endocardial visualization catheter to facilitate coronary sinus cannulation. Heart Rhythm 3: 875–878. doi: 10.1016/j.hrthm.2006.04.029
- 18. Irani AR, Lin B, Eversull C, Hsia HH, Zei PC, et al. (2009) Visualizing ablation gaps in vitro using a deflectable fiber optic endocardial visualization catheter. J Interv Card Electrophysiol 25: 107–110. doi: 10.1007/s10840-008-9338-7
- 19. LaPage MJ, Saul JP (2011) Update on rhythm mapping and catheter navigation. Curr Opin Cardiol 26: 79–85. doi: 10.1097/hco.0b013e3283437d48
- 20. Hameedullah I, Chauhan VS (2009) Clinical considerations for allied professionals: understanding and optimizing three-dimensional electroanatomic mapping of complex arrhythmias–part 1. Heart Rhythm 6: 1249–1252. doi: 10.1016/j.hrthm.2009.04.032
- 21. Metzner A, Schmidt B, Fuernkranz A, Wissner E, Tilz RR, et al. (2011) One-year clinical outcome after pulmonary vein isolation using the novel endoscopic ablation system in patients with paroxysmal atrial fibrillation. Heart Rhythm 8: 988–993. doi: 10.1016/j.hrthm.2011.02.030
- 22. Gerstenfeld EP, Michele J (2010) Pulmonary vein isolation using a compliant endoscopic laser balloon ablation system in a swine model. J Interv Card Electrophysiol 29: 1–9. doi: 10.1007/s10840-010-9501-9
- 23. Rohde GK, Dawant BM, Lin SF (2005) Correction of motion artifact in cardiac optical mapping using image registration. IEEE Trans Biomed Eng 52: 338–341. doi: 10.1109/tbme.2004.840464
- 24. Kong W, Walcott GP, Smith WM, Johnson PL, Knisley SB (2003) Emission ratiometry for simultaneous calcium and action potential measurements with coloaded dyes in rabbit hearts: reduction of motion and drift. J Cardiovasc Electrophysiol 14: 76–82. doi: 10.1046/j.1540-8167.2003.02077.x
- 25. Phillips KP, Schweikert RA, Saliba WI, Themistoclakis S, Raviele A, et al. (2008) Anatomic location of pulmonary vein electrical disconnection with balloon-based catheter ablation. J Cardiovasc Electrophysiol 19: 14–18. doi: 10.1111/j.1540-8167.2007.00964.x
- 26. Fedorov VV, Lozinsky IT, Sosunov EA, Anyukhovsky EP, Rosen MR, et al. (2007) Application of blebbistatin as an excitation-contraction uncoupler for electrophysiologic study of rat and rabbit hearts. Heart Rhythm 4: 619–626. doi: 10.1016/j.hrthm.2006.12.047
- 27. Gunzinger R, Wildhirt SM, Schad H, Heimisch W, Gurdan M, et al. (2007) A rat model of cardiopulmonary bypass with cardioplegic arrest and hemodynamic assessment by conductance catheter technique. Basic Res Cardiol 102: 508–517. doi: 10.1007/s00395-007-0668-x
- 28. Cribier A, Litzler PY, Eltchaninoff H, Godin M, Tron C, et al. (2009) Technique of transcatheter aortic valve implantation with the Edwards-Sapien heart valve using the transfemoral approach. Herz 34: 347–356. doi: 10.1007/s00059-009-3264-z