Retinal prostheses have the ability to generate visual perceptions. To advance the development of new prostheses, ex vivo methods are needed to test devices before implantation. This article provides a comprehensive protocol for studying calcium activity in the retinal ganglion cell layer when subjected to electrical stimulation.
Retinal dystrophies are a leading cause of blindness worldwide. Extensive efforts are underway to develop advanced retinal prostheses that can bypass the impaired light-sensing photoreceptor cells in the degenerated retina, aiming to partially restore vision by inducing visual percepts. One common avenue of investigation involves the design and production of implantable devices with a flexible physical structure, housing a high number of electrodes. This enables the efficient and precise generation of visual percepts. However, with each technological advancement, there arises a need for a reliable and manageable ex vivo method to verify the functionality of the device before progressing to in vivo experiments, where factors beyond the device’s performance come into play. This article presents a comprehensive protocol for studying calcium activity in the retinal ganglion cell layer (GCL) following electrical stimulation. Specifically, the following steps are outlined: (1) fluorescently labeling the rat retina using genetically encoded calcium indicators, (2) capturing the fluorescence signal using an inverted fluorescence microscope while applying distinct patterns of electrical stimulation, and (3) extracting and analyzing the calcium traces from individual cells within the GCL. By following this procedure, researchers can efficiently test new stimulation protocols prior to conducting in vivo experiments.
The retina contains photoreceptors, which are cells responsible for sensing light. They capture photons and convert them into nerve impulses. These impulses are then processed within the retina and transmitted to the visual cortex, resulting in the formation of a visual image1. Retinitis Pigmentosa (RP) and Age-related Macular Degeneration (AMD) are degenerative diseases characterized by the progressive loss of photoreceptors. These retinopathies are among the leading causes of blindness worldwide1, impacting millions of individuals and having significant medical, personal, and socioeconomic consequences for patients, healthcare systems, and society as a whole. Furthermore, with the aging population, it is projected that AMD cases will increase by 15% by 20502.
Currently, numerous research efforts are underway to restore vision in patients affected by these conditions3. One promising approach is the use of retinal prostheses, which have demonstrated effectiveness in partially restoring vision4,5. These devices capture light from the visual scene and convert it into electrical pulses. These pulses are delivered through electrodes within a microelectrode array (MEA) implanted in the eye, stimulating the surviving neurons and bypassing the function of the lost photoreceptors. The activated retinal ganglion cells (RGCs) transmit the output to the brain, where it is interpreted as visual perception. However, the main limitations of current implants lie in the resolution of the electrode-tissue interface6 and the non-selective stimulation of different cell types. Therefore, to optimize the design of new implantable devices for more efficient vision restoration, it is crucial to understand how stimulation paradigms can be developed to selectively activate cells in close proximity to the electrodes.
Calcium imaging is a widely employed technique for studying neural activity, offering several advantages over non-optical methods7,8. Firstly, it provides cellular and subcellular resolution. Secondly, calcium markers can target specific cell types. Thirdly, it allows for long-term tracking, and fourthly, it enables the observation of entire cell populations while distinguishing between active and inactive cells. This method provides indirect evidence of cellular activity with a temporal resolution in the range of hundreds of milliseconds. Genetically-encoded fluorescent calcium indicators, such as GCaMP sensors, undergo a conformational change upon binding to calcium, resulting in increased fluorescence9. Recombinant adeno-associated viral vectors (AAVs) are an effective means of transducing retinal cells with GCaMP10.
This protocol presents an efficient method that utilizes calcium imaging for testing stimulation protocols of retinal implants. Specifically, we focus on ex vivo rat retinal tissue and provide detailed step-by-step instructions, from sample acquisition to data analysis. By offering this comprehensive guide, researchers from various backgrounds can embark on electrical stimulation experimentation with confidence.
All animal procedures were conducted in accordance with standard animal ethical guidelines (European Communities Directive 86/609/EU) and approved by the local animal ethics committees. 8 weeks-old Long Evans rats were used for the present study. The animals were obtained from a commercial source (see Table of Materials).
1. Preparation of media and flat-mounting assembly
2. GCL labeling and rat retina flat-mounting
NOTE: This labeling method does not differentiate RGCs from displaced amacrine cells. If selective labeling of RGCs is desired, consider using AAVs with RGC-specific promoters11 and/or retrograde labeling through the optic nerve12. To discriminate between classes of ON- and OFF-center RGCs, classify RGCs based on their light response13,14, and utilize newer versions of genetically encoded calcium indicators that offer increased sensitivity and the ability to measure single action potentials15.
3. Ex vivo calcium imaging upon electrical stimulation
NOTE: In this work, a proof-of-concept MEA was used for ex vivo experimentation. The custom MEAs were fabricated with 25 µm diameter porous graphene-based electrodes on 500 µm thick borosilicate glass with Ti/Au traces and later insulated with silicon nitride and SU-8 photoresist12. However, the calcium imaging methods are valid irrespective of the electrode material used for stimulation.
4. Data analysis
The protocol described in this study is based on the fluorescence imaging and electrical stimulation studies conducted by Weitz et al.12. The protocol consists of three main parts: (1) fluorescent labeling of the GCL and flat-mounting of the retina on the MEA (Figure 1-left), (2) visualization of calcium activity in the GCL during electrical stimulation (Figure 1-middle), and (3) extraction, processing, and interpretation of the imaging data (Figure 1-right).
First, as depicted in Figure 1-left, Long Evans rats are intravitreally injected with AAV2-CAG-GCaMP5G prior to the imaging session. The optimal viral expression for this vector occurs 2 to 3 weeks after injection12,18. After fully anesthetizing the animal, a pilot hole is made using a 30 G needle, and then 5 µL of AAV2-CAG-GCaMP5G is slowly injected into the vitreous using a 36 G blunt needle attached to a precision syringe to prevent reflux. During viral expression, an in vivo retinal imaging system is used to assess the condition of the retina post-surgery, with OCT images providing detailed visualization of the retinal layers. Once gene expression is achieved, the retina is carefully extracted from the eyecup using a stereo microscope and high-precision dissection tools. From this point onwards, the tissue is manipulated in oxygenated media to preserve the sample. The excised retina, with the GCL facing up, is then mounted on a platform designed for flat-mounting to ensure stability and prevent sample floating. The sample is mounted on the MEA surface with the GCL facing the electrodes.
Next, the MEA is mounted on its interface board on an inverted fluorescent microscope (Figure 1-middle). The retinal sample is perfused with oxygenated media at 33 °C using a perfusion system. The sample can be maintained in this configuration for several hours. The desired stimulation scheme is programmed, and images are acquired at a rate of 10 frames per second. It is recommended to name the movies according to the applied electrical stimulation parameters. Image acquisition should begin before the initiation of stimulation to obtain some baseline frames without stimulation, which will serve as a negative control.
Finally, as illustrated in Figure 1-right, the data is extracted from the time-lapse images by segmenting the cell somas. Photobleaching effects are corrected by fitting the data, and responsive cells are identified. Responsive cells are defined as those with fluorescence peaks during stimulation that exceeds their baseline by 2.5 times. If a cell responds to three out of the five bursts of stimulation, it is considered responsive to that specific train of stimulation.
Figure 1: Overview of the study. Schematic illustration of the protocol for (left) fluorescently labeling the GCL of the retina and sample mounting, (middle) set up preparation for ex vivo recordings with electrical stimulation provided by a MEA, and (right) analyzing the calcium imaging data to classify responsive cells. Please click here to view a larger version of this figure.
Intravitreal-injected retina
The incidence of complications associated with intravitreal injections is very low. However, there are some complications that can arise from the surgery itself, regardless of the injected component. These complications include cataract formation, vitreous hemorrhage, elevation of intraocular pressure, and endophthalmitis23. To determine whether these complications are caused by the surgery, the animal needs to undergo evaluation before the procedure using funduscopy and OCT. Three days after the injection, the animals should be followed up. In Figure 2A–D, the retina of a healthy injected animal is shown. After two weeks of injection, the RGCs begin to express fluorescence, which can be visualized using fluorescence fundoscopy (Figure 2B,C). OCT images provide detailed visualization of the disposition and thickness of retinal layers (Figure 2D), offering higher resolution compared to funduscopy, particularly when assessing retinal detachment. Once the retina is flat-mounted and imaged using an inverted fluorescence microscope, it becomes possible to distinguish the cells and axon bundles. Unlike other calcium indicators, the GCaMP indicator is restricted to the cytoplasm7, and fluorescence is excluded from the nucleus (Figure 2E).
Figure 2: Representative images of the intravitreal-injected retina. (A) Fundoscopy, (B) fluorescence fundoscopy, (C) zoom-in of the fluorescence fundoscopy, (D) OCT image, and (E) epi-fluorescence image of the excised retina mounted on a custom MEA with graphene-based electrodes on 500 µm thick borosilicate glass. In (E), black lines correspond to Ti/Au traces. Scale bars: 115 µm (D) and 100 µm (E). Please click here to view a larger version of this figure.
Electrodes and GCL contact
In order to evoke neural responses effectively, it is crucial to ensure that the flat-mounted retina is in close contact with the surface of the MEA. A simple way to verify this is by visually confirming whether the cells and electrodes are located in the same focal plane (Figure 3A). If the cells are not in the same focal plane as the electrodes (Figure 3B), it indicates that the contact is suboptimal, which will result in less effective stimulation.
Figure 3: Electrodes and GCL contact. (A) Cells and the electrode (asterisk) in the same focal plane. (B) Cells and electrodes not in the same focal plane, indicating suboptimal contact for electrical stimulation in that area. Please click here to view a larger version of this figure.
Ex vivo calcium imaging upon electrical stimulation provided by a MEA
The resulting data from calcium imaging consist of time-lapse images that monitor the neural activity of hundreds of cells in response to electrical stimulation. Suprathreshold stimuli cause a calcium influx into the cell somas, resulting in a sudden change in fluorescence intensity (Video 1). This protocol enables determining whether an electrode, MEA, and/or stimulation algorithm elicits the desired response in neural tissue. The size and pitch of the electrodes on the MEA, as well as the proportion of tissue being studied, will determine the appropriate objective magnification to choose. Typically, for single-electrode stimulation studies with diameters ranging from 5 µm to 100 µm, a 20-25x objective magnification is suitable (Figure 4A), providing a FOV of approximately 600 µm x 600 µm. For experiments involving stimulation with multiple electrodes, a 4-10x objective magnification may be necessary to assess a wider area of around 2 mm x 2 mm. Responsive cells can be easily identified by generating a standard deviation image projection of the time-lapse movie (Figure 4B and Video 1).
Figure 4: Calcium imaging of the GCL with electrical stimulation provided by a 25 µm-diameter electrode. (A) Maximum projection of a 60 s time-lapse movie and (B) standard deviation projection clearly depicting cells that respond to electrical stimuli from a 25 µm diameter porous graphene-based electrode. The stimulating electrode is indicated with an asterisk. Scale bar: 50 µm. Please click here to view a larger version of this figure.
Analysis of the calcium dynamics over time upon controlled stimulation
For each identified cell soma, the mean intensity values were extracted over time. Figure 5A shows the photobleaching-corrected calcium traces from the responsive cells. In this example, five bursts of biphasic pulse trains (cathodic-first, 40 cycles, 1 ms duration, 2 µA amplitude) were delivered every 10 s (indicated by black lines) during a 60 s image acquisition. Within a given experiment, the same five pulse trains are applied to test the consistency of the response. The frames captured during the non-stimulating periods (highlighted in red) are used to perform a linear fit, correcting for the photobleaching effect.
Once the responding cells are identified, and their coordinates (x,y) are known relative to the stimulating electrode, one can examine the relationship between the current required to activate the cells and the distance from the stimulating electrode (Figure 5B). As expected, cells located closer to the stimulating electrode require lower current values to evoke a response.
Figure 5: Representation of the electrical-evoked responses. (A) Calcium traces of cell somas upon 5 bursts of pulse trains (biphasic, cathodic-first, 40 cycles, 1 ms duration, 2 µA amplitude) every 10 s (black lines) during a 60 s image acquisition. Non-stimulating (red-highlighted frames) and stimulating periods (yellow-highlighted frames) are shown. Traces surpassing the baseline signal (root mean square of the non-stimulating periods) by 2.5 times are considered evoked responses. Cells responding in three out of the five stimulating periods are classified as responding cells. (B) Calcium activity distribution map showing the stimulating electrode (black outlined circle) and cells (gray outlined circle). The color code represents the minimum pulse amplitude necessary to evoke a cellular response. Please click here to view a larger version of this figure.
Video 1: Calcium imaging of the GCL with electrical stimulation provided by a 25 µm-diameter electrode. The video displays differences in fluorescence intensity due to electrical stimulation from a 25 µm diameter porous graphene-based electrode. The left side shows the original movie, and the right side shows the standard deviation projection where responding cells can be easily identified. Scale bar: 50 µm. Please click here to download this Video.
The protocol described here serves to study the calcium dynamics occurring in the rat retinal GCL upon electrical stimulation provided with a MEA. It is a reliable and manageable method but requires some training, particularly to uniformly label the GCL efficiently and to mount the retina properly to ensure optimal tissue-electrode contact. This protocol is specific to rodents and needs to be adapted if applied to a different laboratory species. The critical points, modifications, and limitations of the methodology are presented in detail.
Intravitreal injections
Injections are widely used for ocular gene delivery, with intravitreal injections being the preferred procedure. They have been proven to be safer and less invasive compared to subretinal injections, which introduce the molecules of interest directly between the photoreceptors and the retinal pigment epithelium (RPE), risking retinal detachment10. However, there are limitations, especially when performing these injections in rodent models. The vitreous humor is gelatinous, hindering viral diffusion. Moreover, the lens in rodent eyes is large, making it non-trivial to insert the needle without scratching it. The precision syringe needles are delicate and need to be replaced often. To prevent obstruction, wash them with deionized water before and after every use and replace them regularly. Additionally, inject the content slowly to prevent solution reflux and changes in intraocular pressure. Achieving large and uniform fluorescence across the retina may require practice.
Retinal cell transduction
Viral vectors are an excellent method for in vivo gene delivery, and AAVs have been widely used for transducing retinal cells10. They have been approved as a treatment for some retinopathies causing human blindness24. However, their carrier capacity is limited to 5 kb, including the required regulatory elements (e.g., the promoter)10,25. There are multiple serotypes available, each with different tropism. Choose the most suitable AAV based on the genes to be delivered and the cells to be transduced26. For labeling the RGCs, it is recommended to use AAV227.
Gene expression window
The optimal viral expression for AAV2-CAG-GCaMP5G is 2 to 3 weeks after injection12,18. Beyond that timeframe, the nuclei from transfected cells become fluorescent, cells stop responding to stimuli, and ultimately die7,28,29. This is due to the overexpression of the GCaMP indicator, which is translocated into the nucleus. The time window for optimal gene expression will vary depending on the viral vector and the chosen promoter30 and needs to be determined experimentally before proceeding with this protocol.
Tissue-electrode contact
For optimal and reproducible results, achieving good tissue-electrode contact is crucial. Poor contact is typically due to the natural curvature of the retina. One approach is to cut the retina into quarters, mount and image one section at a time. Small portions of the retina can be better flattened, resulting in more effective contact with the surface of the MEA. Another potential reason for poor contact is the presence of vitreous humor. When conducting stimulation experiments simulating an epi-retinal implant, it is important to carefully remove the vitreous humor during retina excision as it can act as an insulator to current. Here, a simple method is described to check if the contact is sufficient by visualizing the electrode and cells in the same focal plane.
An alternative to ex vivo retinal measurements is to grow neurons directly on the surface of the electrodes. Primary culture of neurons, such as hippocampal neurons31, can be useful for initial tests to evaluate the functionality of the novel stimulating device. However, this approach still requires the use of laboratory animals and does not represent the complexity of the retinal network, which is important for evaluating synaptic responses to stimulation.
To visualize the cells underneath the electrode and electrode traces, MEAs fabricated with transparent materials such as indium tin-oxide (ITO) can be used19,20,32. In addition to optical measurements, GCL activity upon electrical stimulation can be assessed through electrical recordings. The MEA can be used to record the local field potential (LFP) of the tissue. However, this compromises spatial resolution, as each electrode captures activity from multiple cells simultaneously (depending on the electrode dimensions). Optical recording overcomes this limitation and offers higher spatial resolution mapping. Its main advantage is the ability to distinguish between active and inactive cells while measuring a large FOV with single-cell resolution. Among all cellular activity reporters, calcium indicators are well-described and most commonly used33.
The authors have nothing to disclose.
We are thankful to Merche Rivas, Angel Sandoval, Jesús Planagumà, Jordi Cortés, Sandra Ortonobés Lara and Alina Hirschmann (ICFO-Institut de Ciències Fotòniques) for their technical support, to Anna Duarri (VHIR, Vall d'Hebron Institute of Research) from the Ophthalmology Research group for their support with the intravitreal injections and the in vivo retinal imaging.
The funding entities that supported this work are: Fundació CELLEX; Fundació Mir-Puig; Ministerio de Economía y Competitividad – Severo Ochoa program for Centres of Excellence in R&D (CEX2019-000910-S, [MCIN/AEI/10.13039/501100011033]); Generalitat de Catalunya through CERCA program; Laserlab-Europe (EU-H2020 GA no. 871124); La Caixa Foundation (LCF/HR19/52160003); and Fondo Social Europeo (PRE2020-095721, M.C.).
20x NA 0.75 S Fluor air objective | Nikon | CFI Super Fluor 20X | – |
3.5 cm Cell culture dish | Nunc | 12-565-90 | – |
30 G needle | VWR | 613-5373 | – |
36 G blunt needle | World Precision Instruments | NF36BL-2 | – |
6 cm Cell culture dish | Nunc | 12-565-94 | – |
AAV2-CAG-GCaMP5G | Vector Biolabs | – | – |
Ames' Medium | Sigma Aldrich | A1420 | – |
Blade | Swann-morton | 0308 | – |
Camera | Hamamatsu | ORCA Flash v4.0 | – |
Carbogen | Air liquide | – | – |
Curved-forceps | – | – | – |
Fine spring-scissors | FST | 91501-09 | – |
FITC filter cube | Nikon | Standard series | – |
Fluorescent lamp | Nikon | C-HGFI | – |
Fluorescent stereomicroscope | Nikon | SMZ25 | – |
HBSS | Capricorn | HBSS-1A | – |
ImageJ/FIJI | NIH | v1.50i | – |
In vivo retinal imaging system | Phoenix Research Laboratories | Micron III | – |
Inverted fluorescence microscope | Nikon | Eclipse Ti | – |
Isofluorane | Arrane Baxter Laboratories | – | – |
Long-Evans rat | Janvier | – | – |
MATLAB (Version R2021b) | Mathworks | – | – |
Media filters | Merckmillipore | SCGPS02RE | – |
Methocel 2% | Omni Vision | – | – |
Microelectrode array (MEA) | – | Custom-made | |
NaHCO3 | Thermofisher | 42427 | – |
Penicillin/Streptomycin 100x | Thermofisher | 15140122 | – |
Phenylephrine | Alcon Cusí Laboratories | 653437.3 | 100 mg/mL |
Plastic pipette | VWR | 612-1793 | – |
Porous membrane | Merckmillipore | #JVWP01300 | – |
Precision syringe | World Precision Instruments | 10 µl Nanofil | – |
Prescaina | Llorens | – | Oxybuprocaine chlorhydrate (2 mg/mL), local anesthetic |
Rat nasal mask | Xenotec | XRK-RA | – |
Small curved-forceps | Bbraun | AESCBD311R | – |
Spring-scissors | FST | 15040-11 | – |
Stereo microscope | Zeiss | Stemi 2000 | – |
Straight forceps | FST | 11252-20 | – |
Suture filament | Vitrex Medical | 4328 | Nilon monofilament, 7/0, DS12 |
Tobradex | Alcon Cusí Laboratories | – | Tobramycin (3 mg/mL) and dexamethasone (1 mg/mL) |
Tropicamide | Alcon Cusí Laboratories | 653486 | 10 mg/mL |
Washer | Thorlabs | W8S038 | – |