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Logo of hhmipaAbout Author manuscriptsSubmit a manuscriptHHMI Howard Hughes Medical Institute; Author Manuscript; Accepted for publication in peer reviewed journal
 
J Neurosci. Author manuscript; available in PMC 2012 December 13.
Published in final edited form as:
PMCID: PMC3521507
HHMIMSID: HHMIMS276084

Imaging Light Responses of Targeted Neuron Populations in the Rodent Retina

Abstract

Decoding the wiring diagram of the retina requires simultaneous observation of activity in identified neuron populations. Available recording methods are limited in their scope: electrodes can access only a small fraction of neurons at once, whereas synthetic fluorescent indicator dyes label tissue indiscriminately. Here, we describe a method for studying retinal circuitry at cellular and subcellular levels combining two-photon microscopy and a genetically encoded calcium indicator. Using specific viral and promoter constructs to drive expression of GCaMP3, we labeled all five major neuron classes in the adult mouse retina. Stimulus-evoked GCaMP3 responses as imaged by two-photon microscopy permitted functional cell type annotation. Fluorescence responses were similar to those measured with the small molecule dye OGB-1. Fluorescence intensity correlated linearly with spike rates >10 spikes/s, and a significant change in fluorescence always reflected a significant change in spike firing rate. GCaMP3 expression had no apparent effect on neuronal function. Imaging at subcellular resolution showed compartment-specific calcium dynamics in multiple identified cell types.

Introduction

The mammalian retina comprises five neuron classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, and ganglion cells) that each contain between 2 and 30 morphological types (Masland, 2001). Types in one class connect selectively to types in another class, forming pathways that signal specific aspects of the visual input (e.g., contrast, color, motion, diurnal cycle) to the brain (Casagrande and Xu, 2004). Although some signaling pathways are known in reasonable detail (Wässle, 2004), how many pathways exist or how discrete they are at the functional level is unknown, and a comprehensive map of their underlying circuits is lacking. Consequently, our knowledge of functional connectivity between the retina and the brain is mostly incomplete.

Given the ~60 retinal cell types, the number of potential circuits is large. The challenge to resolve circuits is compounded by the fact that a single cell type might contribute to multiple circuits. Because of this complexity, mapping retinal circuits efficiently requires a method that permits simultaneous monitoring of the activity in many neurons and across neuron classes. Although single-cell patch recording is the gold standard, it does not permit efficient simultaneous targeting of multiple cells. A planar multielectrode array (Meister et al., 1989) can record from many neurons at once but permits spike recordings from only the (superficial) ganglion cell layer; a penetrating multielectrode method (Jones et al., 1992) does not solve this problem because most retinal neurons are nonspiking.

Functional optical imaging can potentially overcome these limitations, contingent on a two-photon-excitable indicator that can be targeted to neuronal subpopulations, and reports neuronal activity reliably, both in spiking and nonspiking neurons. This is the promise of genetically encoded calcium indicators (GECIs) (Palmer and Tsien, 2006), which have already shown their potential in other parts of the mouse brain (Pologruto et al., 2004; Yasuda et al., 2004; Mao et al., 2008), and in other species (Wang et al., 2004; Dreosti et al., 2009; Tian et al., 2009).

We evaluate the genetically encoded calcium indicator GCaMP3 (Tian et al., 2009) as a tool for dissecting neural circuits in the adult mouse retina. Transgene expression could be targeted to all five major retinal neuron classes, with different combinations of adenoassociated virus (AAV) serotype and promoter elements used to drive expression.

Ganglion cells that expressed GCaMP3 had normal light responses. Simultaneous electrophysiological and optical recordings of light-evoked calcium responses showed that a significant change in fluorescence always signaled a significant change in spike rate. A specific functional type, direction-selective (DS) ganglion cells, could be detected among a larger labeled population based on the stimulus-evoked fluorescence response.

GCaMP3 can be used to detect correlated activity across neuron populations. It allows generation of new hypotheses pertaining to connectivity between cells. We demonstrate how whole-cell patch-clamp recording-based hypotheses can be validated through subcellular optical imaging of amacrine cell and bipolar cell neurites. Optical recordings from somas, dendrites, and presynaptic terminals of neuron types across the retina demonstrate the potential of GCaMP3 as a tool for mapping retinal circuits.

Materials and Methods

Gene constructs

Retinal neurons were targeted using different AAV serotype/promoter combinations. The promoters used in this study were the murine synapsin-1 (syn1; the 1200 bp before the translation start codon), the 200 bp enhancer for mGluR6 followed by an SV40 polyadenylation site (Kim et al., 2008), and a synthetic mGluR1 promoter. The latter was generated as follows.

Cross-species alignment (ECR browser; ecrbrowser.decode.org) (Ovcharenko et al., 2004) of the genomic sequences flanking the mouse metabotropic glutamate receptor 1 gene (mGluR1/Grm1) using ECR setting 350/77 (length/similarity) revealed five conserved domains 200–600 bp in length. Two of these were found ~6 kb upstream of the transcription start site; three were in the untranslated region and in the first intron of mGluR1. The conserved domains were fused in silico, forming the synthetic 1200 bp promoter (see Notes), which was synthesized de novo (DNA 2.0). In the viral constructs, the syn1 and mGluR1 promoters were preceded by the 350 bp CMV-IE enhancer (Niwa et al., 1991); the mGluR1 construct did not contain an enhancer. GCaMP3 coding sequence was inserted immediately after a promoter and Kozak sequence, and followed by a woodchuck hepatitis virus posttranscriptional regulatory element (WPRE) and SV40 [full sequence shown (see Notes)]. Viral particles were assembled using a modified helper-free system (Stratagene) as a serotype 2/1, 2/2, 2/5, 2/7, or 2/9 (rep/cap genes) AAV, and harvested and purified over sequential cesium chloride gradients as previously described (Grieger et al., 2006).

Viral transfection

Adult (age, 1.5– 6 months) C57BL/6J mice (Charles River Laboratories) of either sex were injected intravitreally with AAV as follows. First, a mouse was anesthetized with isoflurane (3%) and placed under a dissection microscope. Ventilation with isoflurane (1.5%) was continued for the duration of the procedure (5–10 min). A drop of the topical analgesic Proparacaine (0.5%; Bausch & Lomb) was applied to each eye, followed by a drop of Tropicamide (0.5%; Bausch & Lomb) to dilate the pupil and paralyze the ciliary muscle. Then, a 30 gauge sharp needle (BD Biosciences) was used to make a single puncture through the sclera at the level of the ora serrata. Through this puncture, we inserted a 33 gauge blunt-tipped needle mounted on a Hamilton syringe (Hamilton) to inject 0.8–1.0 µl of virus [AAV; 108–109 genome copies/µl; University of Pennsylvania Vector Core, Philadelphia, PA; or assembled per published protocols (Grieger et al., 2006)] in dH2O into the vitreous humor over the central retina. After 2–4 weeks, the animal was killed, its eyes removed, and the retinas harvested for optical imaging and recording.

In vivo electroporation

Plasmid DNA was electroporated into the retina of postnatal day 0 (P0) to P1 mouse pups using published methods (Matsuda and Cepko, 2004). Briefly, a pup was anesthetized by chilling on ice, the eyelid covering one eye opened, and plasmid DNA (0.3–0.4 µl, 2.2 µg/µl) injected with a blunt-tipped 33 gauge needle, inserted through a small incision in the sclera. Subretinal injection was followed by five square wave pulses (80 V, 50 ms duration, 950 ms interval) applied to the eyes. Retinas were harvested for recording 4 – 6 weeks after electroporation.

Tissue preparation

After enucleation, an eye was placed in oxygenated (95% O2–5% CO2) Ames medium (Sigma-Aldrich), hemisected, and the anterior half and lens discarded. The posterior half was carefully removed from the pigment epithelium and incised radially to permit flattening of the tissue. For whole-mount preparation, the isolated retina was then mounted on filter paper and placed under an upright microscope for imaging and recording. Five 1.0 mm apertures in the filter paper permitted bright-field imaging and visual stimulation through the condenser lens. For retinal slice preparation, the isolated retina was placed on a nitrocellulose filter membrane (item no. HAWP01300; Millipore) and cut into 200-µm-thick slices with a tissue slicer (Narishige). Retinal slices attached to the cellulose filter membrane were transferred to a recording chamber, secured with vacuum grease, and then moved to the microscope stage for imaging and recording.

Tissue was continuously perfused (3–6 ml min−1) with oxygenated Ames medium without recycling and imaged with a two-photon microscope (see below). Each retina was fixed after recording (4% paraformaldehyde, 1 h, 20°C), mounted on a glass slide, and counterstained with the nuclear dye 4′,6-diamidino-2-phenylindole (DAPI) (Vector Laboratories) for confocal imaging [Zeiss 510 laser-scanning microscope; 10×, 0.45 numerical aperture (NA), and 40×, 1.3 NA objectives].

Electrophysiological recording

Extracellular spike recordings were obtained with glass microelectrodes in loose-patch configuration (electrode impedance, 8–12 MΩ; Flaming/Brown P-97 pipette puller; Sutter Instrument). Electrodes were filled with Ames medium (see above) and a red fluorescent dye (Alexa Fluor 568; Invitrogen) for visual guidance under two-photon imaging. The electrode signal was conventionally amplified (Neurodata IR-283; Cygnus Technologies) and filtered, spikes detected in hardware (custom built analog window discriminator), and their time of occurrence recorded with 0.5 ms precision using a data acquisition board (PCI 1200; National Instruments), Apple Macintosh G4, and custom software (Metroworks Codewarrior; Freeware Semiconductors). After recording, a fluorescent dye (Alexa Fluor 568) was electrophoresed into the recorded cell to verify cell identity (±1 nA square wave current pulses through the electrode, 1 Hz duty cycle; 1 min).

Loading of small molecule calcium dye

Oregon Green 488 BAPTA-1 acetoxymethyl ester [OGB-1-AM (OGB)] [synthesized according to published protocols (U.S. Patent 6,162,931)] was dissolved in 20% Pluronic F-127/DMSO (Invitrogen) and diluted to a final concentration of 1.0 mm in Ames solution. A 0.1 µl bolus of OGB-1-AM in solution was injected under the inner limiting membrane into the intracellular space of the ganglion cell layer. Fluorescent labeling in ganglion cell somas first became apparent ~15 min after injection of the dye. Fluorescence intensity gradually increased until reaching steady state ~1 h after injection. All OGB-1-mediated calcium recordings were performed between 1 and 3 h after dye injection.

Optical recording

Fluorescence measurements were obtained with a modified Olympus BX microscope controlled with ScanImage software (Pologruto et al., 2003) (www.ephus.org) and an Olympus 60×, 0.9 NA, LUMPlanFl/IR objective. Two-photon excitation of GCaMP3 was evoked with a laser (Chameleon Vision II; Coherent) tuned to 910 nm. Epifluorescence emission was separated into “green” and “red” channels with a 565 nm dichroic mirror and BG22 (green channel) and HQ620/90 (red channel) emission filters, respectively, and collected using separate photomultiplier tubes (Hamamatsu). Images were acquired at a resolution of 512 × 128 pixels, at 8 or 16 frames per second and represented between 20 × 20 µm (single cell or dendrites) and 75 × 75 µm (neuron population) on the retina.

Fluorescence responses in somas and dendrites were calculated with custom, ScanImage-compatible algorithms in Matlab. Fluorescent structures were outlined by hand using the roipoly function (Signal Processing Toolbox; The MathWorks). Annotating ~30 somas in a 75 × 75 µm area required <5 min, obviating the development of a more sophisticated, automated method for our purposes.

The fluorescence intensity of a neuron is reported throughout as the average intensity of all pixels over its soma, including the nucleus. Fluorescence intensity in the nucleus of recorded neurons was always more than threefold dimmer than the cytosol [consistent with short-term expression of GCaMP3 in neurons distal to the viral injection site (Tian et al., 2009)]. Calculations showed that including pixels representing the nucleus had a negligible effect on our measurement of fluorescence change (<5%), which was confirmed experimentally (see Notes). To reduce analysis effort, we forfeited this small margin for improvement.

At all magnifications, a soma was represented by >500 pixels in each image frame. Where subcellular compartments were measured in isolation, this is indicated in the text. Fluorescence responses are reported as normalized increases as follows:

equation M1
(1)

where F is instantaneous fluorescence and F0 is starting fluorescence. Dark noise of the photomultiplier tube was omitted from the calculations because for all recorded cells it was smaller than F0 by >100-fold.

Simultaneous optical and electrophysiological recordings showed that a GCaMP3-labeled cell that modulated its spike rate by 5 spikes or less over the course of a 5 s trial (530 of 747 trials, 71%; n = 42 neurons) showed a 6.9 ± 7.4% decrease in fluorescence intensity from the first to the last 750 ms of recording. The same decrease was observed in ganglion cells labeled with OGB-1 (data not shown). Most of the decrease occurred during the first 250 ms after scan onset. This is consistent with local bleaching of the fluorophore, which monotonically decreases fluorescence until dynamic equilibrium is reached between bleached and unbleached sensor at the focal point. As such, this fluorescence change does not reflect a change in intracellular calcium caused by a change in neuronal activity. For population analyses in which we relied on the fluorescence signal alone to determine what fraction of neurons responded to the flash, we therefore set our threshold for significant response at this average nonspike evoked change plus 1 SD (i.e., 15% ΔF/F).

Signal-to-noise ratio (SNR) of the fluorescence response was calculated as the average ratio of the flash-response amplitude and the SD of the baseline fluorescence as follows:

equation M2
(2)

where i is the image frame where the fluorescence signal after a light flash peaked (window-averaged over 100 ms), and σbaseline is the SD of the fluorescence response during a 2 s time window (>15 image frames), starting 3 s after scan onset, in trials in which no light flash was presented.

Visual stimulation

Light responses were evoked with visual stimuli delivered through the condenser lens of the microscope focused on the photoreceptors. A schematic overview of the stimulus setup is shown in Figure 1. Stimuli included (1) spatially uniform flashes from a linearized, calibrated light-emitting diode (LED) (maximum light output, 20 mW/cm2 at the retina; peak emission at 458 nm; Luxeon) and (2) spatiotemporal patterns generated with a miniature digital light projector (DLP) (Pico; Texas Instruments). DLP stimulus spectrum was 420 – 460 nm; light intensity ranged from 0.1 to 1 mW/cm2 at the retina.

Figure 1
Schematic of the visual stimulation method

Spatial stimuli included drifting sine wave gratings and contrast edges. Receptive field maps were obtained with a binary checkerboard stimulus (Chichilnisky, 2001) with 15 × 15 patches (40 × 40 µm each; 70% Michelson contrast), updated every 30 ms according to a binary random sequence, followed by spike-triggered averaging (Chichilnisky, 2001).

Data analysis

Data were analyzed with custom software (Matlab; The MathWorks). Unless otherwise indicated, all trial-averaged values are given as the mean ± SD. Statistical tests were implemented using the standard functions in Matlab.

Results

Targeting GCaMP3 expression to genetically defined cell types in rodent retina

In search of a concise set of vectors that gives genetic access to each neuron class in the mouse retina, we injected a series of AAVs with different serotype and promoter combinations into the mouse eye. The gene expression pattern was assessed after 10–14 d [summarized (see Notes)]. As shown in Figure 2A–E, neurons in each of five major cell classes of the retina can be successfully labeled with GCaMP3 driven by an appropriate combination of serotype and promoter. AAV2/9 with the mouse synapsin-1 (syn1) promoter expressed GCaMP3 in both rod and cone photoreceptors (Fig. 2A). Horizontal cells were also labeled with AAV2/9 and the syn1 promoter (Fig. 2B). These two cell classes could be independently targeted for optical recording because of their distinct morphologies and adequate spatial separation. Attempts to transfect ON-type bipolar cells with a viral vector and the mGluR6 promoter (AAV2/1-mGluR6-SV40) were not successful (data not shown). This is possibly attributable to incompatibility of the bipolar cell surface receptors with the AAV2/1 capsid serotype. However, when the same mGluR6 construct was electroporated into P0 mouse pups, it gave broad labeling exclusively in ON-type bipolar cells (Fig. 2C) (see Notes). AAV2/1 with a synthetic mGluR1 promoter (see Materials and Methods) (see Notes) expressed strongly and almost exclusively in type AII amacrine cells (Fig. 2D). Ganglion cells were labeled with both AAV2/1 and 2/9 combined with the syn1 promoter.

Figure 2
Summary of vectors and their target neurons in mouse retina

To test whether GCaMP3 is functional in each of the cell classes, we presented a brief blue light flash (125 ms duration; 458 nm LED; 100 µW/cm2), delivered 2 s after two-photon scan onset. Strong (>20% ΔF/F) light stimulus-evoked fluorescence changes were detected in cone photoreceptors, ON-type bipolar cells, AII amacrine cells and ganglion cells, but not in rod spherules or horizontal cells (Fig. 2E–J) (see Notes).

Characterization of GCaMP3 expression in ganglion cells

Intravitreal injection of AAV2/1-syn1-GCaMP3 into an adult mouse retina typically gave patchy labeling, with 10–25 clusters of 20–100 strongly labeled cells distributed across the retina (Fig. 3A). Within a cluster, >70% of all somas were labeled (Fig. 3B). In addition to distributed clusters, often a “hot spot” of strongly labeled neurons was visible around the injection site (see Notes). Larger injection volumes (up to 2.0 µl) labeled a similar fraction of cells, but over a larger area (Fig. 3C). We characterized the performance of GCaMP3 in ganglion cells in terms of expression pattern, cytotoxicity, fluorescence response to light stimuli, and correlation to neural signaling. Furthermore, we compared properties of GCaMP3 with those of the calcium indicator OGB.

Figure 3
AAV2/1-synapsin-1-mediated expression patterns in the mouse retina

The ganglion cell layer contains ganglion cells as well as numerous somas of starburst amacrine cells. We found that GCaMP3 was selectively targeted to ganglion cells because all labeled cells were axon bearing. Amacrine cells, whose somas are smaller than those of most ganglion cells, were absent or grossly underrepresented in the labeled population, in agreement with known selectivity of the syn1 promoter (Mandell et al., 1992). In the inner plexiform layer (IPL), GCaMP3 resolved individual dendritic processes that could typically be traced back to the soma of a neuron (Fig. 4A,C).

Figure 4
AAV2/1-syn1-GCaMP3 labels a subset of neurons in the ganglion cell layer and permits imaging with tolerably low laser power

Bulk loading of OGB under the inner limiting membrane, however, labeled all ganglion cells and amacrine cells in the imaged volume indiscriminately (Fig. 4B,E). It also labeled the entire IPL diffusely, with almost no discernable structure (Fig. 4D). The fluorescence intensity of both GCaMP3- and OGB-labeled neurons was similar at the same laser power and wavelength (25 mW at the sample; λ = 910 nm) (Fig. 4F).

GCaMP3 has no apparent effect on ganglion cell function

To test whether GCaMP3 expression interferes with cell function (e.g., through interference with endogenous calcium dynamics), we compared electrophysiological recordings from GCaMP3-labeled cells with unlabeled neurons of the same type (ON α ganglion cells). First, spike responses to a brief light flash were similar (Fig. 4G). Second, spatiotemporal filters recorded with a white noise stimulus matched (Fig. 4H). Finally, using a white noise stimulus and spike-triggered averaging methods (Chichilnisky, 2001), we found that unlabeled and GCaMP3-expressing neurons showed no significant differences in the receptive field and time-to-peak of their temporal filter characteristics (Fig. 4H) (120 ± 8.8 ms, n = 15; vs 120 ± 13.5 ms, n = 13, respectively; t test, p = 0.34). These data suggest that buffering of intracellular Ca2+ by the sensor did not affect the spatiotemporal response properties of a ganglion cell, consistent with a previous report (Margolis et al., 2010). Temporal filters recorded from OGB-labeled neurons, however, peaked slightly later than control neurons and this difference was significant (136 ± 10.4 ms, n = 12; ~10% increase; t test, p = 0.002) (Fig. 4I).

Adapting light reduces scan laser-evoked light responses

In the dark-adapted retina, photoreceptor activation by the infrared scan laser evoked significant spike responses from ON- and OFF-type ganglion cells (Fig. 5A). Scanning retinas in the absence of fluorophore gave the same pattern and strength of activation (data not shown), demonstrating that the scan laser, and not fluorescence emission, is responsible for the scan artifact. Because the dark-adapted retina is extremely sensitive (Barlow et al., 1971), adding light-adapting background illumination reduced photoreceptor activation by the scan laser. With a constant background stimulus set at the measured laser-equivalent intensity (2.5 µW/cm2) (Fig. 5B), the laser-evoked response never exceeded 10 spikes s−1 and in >80% of cells was 1 spike s−1 or less (Fig. 5C).

Figure 5
Light-adapting background minimized scan laser-evoked light responses

GCaMP3 shows functional differences between ganglion cells in a labeled population

To measure light-evoked calcium dynamics in a neural population, we stimulated the whole-mount retina with full-field stimuli and measured the fluorescence response of a population of GCaMP3- or OGB-labeled ganglion cells.

Fluorescence responses during light stimulation showed a variety of response dynamics: slow and fast responses, and responses of opposite sign (Fig. 6B), thus reflecting the known diversity of ganglion cell types that includes sluggish and brisk, ON and OFF (Masland, 2001). Averaged across populations, the amplitude of a light flash-evoked response signaled by GCaMP3 and OGB was similar, 22 ± 1.8% (n = 816) and 17 ± 0.6% ΔF/F (n = 449), respectively (Fig. 6C). Of all GCaMP3-labeled neurons, 27% showed a light response >15% ΔF/F, compared with 28% of neurons for OGB. Amplitude distributions were nearly identical, except for a group of cells with very large response amplitude (>80% ΔF/F) in the GCaMP3 population that was not present in the OGB population. Accordingly, of cells that showed >15% ΔF/F, the average response amplitudes were 59 ± 5.7% (GCaMP3; n = 221) and 35 ± 1.2% (OGB; n = 126).

Figure 6
Light-evoked response dynamics of GCaMP3- and OGB-labeled neuronal populations are similar

Temporal kinetics of the GCaMP3 fluorescence response in ganglion cells was slightly slower than those of OGB (half-rise: 200 ± 8 ms for GCaMP3, n = 139; 170 ± 30 ms for OGB, n = 11; not significant, p = 0.39, t test; half-decay: 710 ± 8 ms for GCaMP3, n = 854; 630 ± 10 ms for OGB, n = 464; significant, p < 0.0001, t test) (Fig. 6D).

GCaMP3 was more photostable than OGB. Repetitive scanning of GCaMP3-labeled ganglion cells at adequate laser power (25 mW at specimen) gave a minor reduction in baseline fluorescence. In most cells, average fluorescence decreased <2% per trial (Fig. 6E), and 40 continuous, 5 s frame scans, separated by 1.5 s nonscanning intervals, reduced average fluorescence intensity <7% (n = 42 cells) (Fig. 6F). The same experiment with bulk-loaded OGB showed much more pronounced bleaching, >40% (Fig. 6F).

Above detection threshold, the GCaMP3 signal is linear with spike response amplitude

To further characterize the fluorescence changes in response to neural signaling [action potential (AP) firing], we targeted labeled ganglion cells for simultaneous electrophysiological and optical recording (Fig. 7). The number of APs (spikes) evoked by a brief light flash varied from trial to trial, in accordance with known neural response properties of retinal ganglion cells (Dhingra et al., 2003) (Fig. 7A,B,E,F). Average fluorescence intensity of the soma covaried with the number of spikes fired during each 5 s trial. Average SNR (ratio of fluorescence response amplitude to SD of the baseline fluorescence) (see Materials and Methods) of the light-evoked response for cells that showed a >5% change in spike rate was 19.7 ± 21.2 (range, 0.98–114; n = 37).

Figure 7
GCaMP3 signal gain and linearity vary across the recorded ganglion cell population

In most cells, the relationship was distinctly linear (Fig. 7A–D), evidenced by a value of R > 0.7 in 25 of 42 cells. In some cells, responses comprising less than ~10 spikes did not show a significant response in the fluorescence signal (Fig. 7E–H). This apparent rectification of the sensor at low spike rates was not ubiquitous, as we encountered at least one case in which the average fluorescence response for trials with zero and two spikes differed significantly (p = 0.006, t test) (Fig. 7I).

Next, we compared the gain of the sensor (change in fluorescence for a given change in spiking) for all recorded cells. We tested three related measures of the gain: (1) peak fluorescence response against the flash-dependent change in the total number of spikes fired (Fig. 7J), (2) peak fluorescence response against the flash-dependent change in spike rate (Fig. 7K), and (3) sensor gain against baseline fluorescence (Fig. 7L). All three measures varied strongly between cells. The third measure produced a weakly linear relationship (Fig. 7L), suggesting that, at high expression levels, free Ca2+ is in excess relative to the sensor binding sites.

Because intracellular calcium dynamics might vary between ganglion cell types, we compared the fluorescence gain of cells of the same apparent functional type. Recorded cells (n = 42) were grouped based on the similarity, S, of their flash-evoked spike responses, where

equation M3
(3)

and x and y represent the respective spike rates of cell x and cell y, broken into n time bins (50 ms time bins, 5 s trials). A conservative threshold applied to S (>5) grouped only highly similar cells, gave four groups of two or more cells and left >50% of recorded cells unsorted (Fig. 8A,B). Fluorescence response amplitude within a group could differ by more than threefold—despite near-identical spike responses (Fig. 8C–E). The cause of this variation is not known and may reflect expression level changes resulting from stochastic differences in viral infection, sensor transcription and translation rates, or physiological heterogeneity between cells with similar spike response patterns (i.e., same apparent functional type).

Figure 8
Sensor gain varied across ganglion cells of the same functional type

Fluorescence responses in dendrites are larger and faster than in soma

Dendritic arbors of GCaMP3-expressing neurons could be resolved at high spatial resolution (<1 µm) and traced from the ganglion cell into the specific sublamina in the IPL where they stratified (Fig. 9) (see Notes). To compare dendritic and somatic GCaMP3 signals, we simultaneously recorded light-evoked fluorescence responses from the soma and primary dendrites of a cell. The response amplitude in the primary dendrites was always larger than in the soma (1.89 ± 0.61-fold difference; n = 7). The slope of a linear fit to the data constrained to pass through the origin was 1.6 (Fig. 9A,B). The fluorescence signal in the dendrites also peaked earlier and had faster temporal dynamics (see Notes), reflected by a nearly twofold shorter decay time constant in dendrites compared with their respective somas (1.79 ± 0.32-fold difference; n = 7). Here, the slope of a linear fit to the data constrained to pass through the origin was 0.52 (Fig. 9C). Stimulated with a full-field flash, the speed and amplitude of the fluorescence response scaled such that the total response (integral of the fluorescence change over time) in soma and dendrites was the same (Fdendrite:Fsoma = 0.97 ± 0.42; n = 7) (Fig. 9D).

Figure 9
Calcium responses in dendrites are twofold larger and faster than in somas

GCaMP3 response can identify known functional types

To efficiently study a specific neural circuit (or part thereof), one would ideally label just a single type of neuron within a class with a genetically encoded calcium indicator for optical measurement. For want of genetic markers, most neuron types cannot currently be targeted exclusively and specifically. An alternate approach to achieve specificity uses the fluorescence response of a broadly expressed neural activity indicator to detect a specific functional type in a larger labeled population. Extracellular spike recordings confirmed that ganglion cells with respectively ON- and OFF-type fluorescence responses (as in Fig. 6) were indeed ON- and OFF-type cells based on their spike response (Fig. 10A–D). Since GCaMP3 labeled all ganglion cells, we tested whether we could differentiate DS ganglion cells based on their fluorescence response evoked by motion stimuli.

Figure 10
Stimulus-evoked GCaMP3 responses identify distinct functional types

DS ganglion cells represent a subset of ganglion cells that respond selectively to contrast edges moving in a preferred direction (Barlow and Levick, 1965; Oyster, 1968) (for review, see Demb, 2007). To detect DS ganglion cells among their non-DS neighbors, we presented low spatial frequency square wave gratings drifting in four orthogonal directions, and compared the fluorescence response of ~30 GCaMP3-expressing cells in the stimulated region (Fig. 10E). Although cells differed in the modulation amplitude (F1) of their fluorescence response, most cells showed no significant difference in the modulation amplitude evoked by the different directions of motion. However, among the recorded population, two cells did show a significant (>1.5 SD) asymmetry in their response to the different motion directions (Fig. 10E, white arrowheads), suggesting that these are DS ganglion cells.

Next, we tested the feasibility of optically measuring spatiotemporal tuning curves, which vary between ganglion cell types and are an established means to discriminate between retinal ganglion cells of different types in cat (X vs Y) (Derrington and Lennie, 1984) and primate (P vs M) (Frishman et al., 1987). We presented drifting sine wave gratings of different spatial and temporal frequencies, recorded the fluorescence response of a cell, and compared it with the simultaneously recorded spike response (Fig. 10F).

The peaks of spatiotemporal tuning curves recorded optically and electrophysiologically broadly matched (Fig. 10F). Tuning curves were similar except at low spike rates, where response modulation that was apparent in the spike response could not be resolved from the fluorescence signal. Furthermore, because GCaMP3 has a fluorescence decay time constant of ~700 ms (see above) (Tian et al., 2009), frequencies above ~2 Hz were increasingly attenuated. The absence of modulation in the fluorescence response at high temporal frequencies may be attributable to signal integration by the sensor (see Notes). Signal integration is apparent in the recordings (Fig. 10E) (see Notes) and can be used to discriminate between a cell that is not activated by the stimulus and a cell whose response modulation exceeds the temporal bandwidth of the sensor (see Notes).

Compartmentalized calcium dynamics in a nonspiking neuron

As shown in Figure 2D, AAV2/1 with a synthetic mGluR1 promoter drove expression strongly in type AII amacrine cells. Because these were the only labeled neurons with processes in the IPL, the dendritic arbor of each cell could be traced unambiguously from the soma to the distal dendrites (Fig. 11A), and calcium responses could be recorded at different distances from the soma.

Figure 11
Type AII amacrine cells feature calcium dynamics localized to subcellular compartments that can operate in two apparently distinct response modes

Light-evoked fluorescence responses recorded from labeled AII amacrine cells differed distinctly between different subcellular compartments (n = 12). In response to a brief light flash, a small decrease was observed in the soma, a large increase in the lobular appendages, and a small decrease in the distal dendrites (Fig. 11B). Our data agree with an earlier measurement of calcium dynamics in lobular appendages and distal dendrites in a slice preparation (Habermann et al., 2003), with the reported distribution of L-type voltage-gated calcium channels of the AII (Habermann et al., 2003), and with the presence of glycinergic synapses in the lobes of type AII amacrine cells (Xin and Bloomfield, 1999; Wässle et al., 2009). Calcium signals measured in the lobular appendages likely reflect the presynaptic calcium influx that drives synaptic glycine release onto OFF bipolar and OFF-type ganglion cells (Liang and Freed, 2010).

For the first time, we were able to observe two distinct calcium responses in the lobular appendages, which differed in time course and amplitude. In one apparent response mode, the fluorescence response amplitude was high, the response time-to-peak was short (<1.0 s), and the signal returned to baseline with a time constant <2 s (Fig. 11C, dashed lines). In the other, the calcium response recorded in the same dendrite was slower (time to peak, >1.5 s), and for a light flash paired with scan onset showed a dip followed by a slow rise (half-rise time, >1 s) (Fig. 11C, solid lines). In all recordings, GCaMP3-expressing AII cells in a local population shared the same response dynamic. This dynamic switched over time, possibly after changes in the light-adapted state of the retina, which could change from dark-adapted (rod-mediated) signaling to light-adapted (cone-mediated) signaling during experiments. The exact relationship between light adaptation and response mode has not yet been resolved. The function of the two apparent “response modes” and the neuronal mechanism that underlies them are unknown, but can now be studied.

Discussion

We analyzed the properties of GCaMP3 and the feasibility of its application for mapping rodent retinal circuits. Our results demonstrate that GCaMP3 is a powerful tool to faithfully report physiological neural activity (both spiking and graded potentials) in the retina (although quantifying low-level activity is difficult) and to assist in assembling functional circuit diagrams.

GCaMP3 has adequate response amplitude and dynamic range

Our data show that the dynamic response range of GCaMP3 is adequate under natural stimulus conditions (i.e., with light presented to the photoreceptors): fluorescence signals did not saturate even at the highest evoked spike rates. Fast, large fluorescence responses recorded in dendrites integrated to the same total fluorescence change as the slower, smaller responses simultaneously recorded in a connected soma. This shows that calcium dynamics in both compartments remained within the linear response range of the sensor, because a temporary lack of free sensor (caused by too rapid increase in local Ca2+) would locally reduce the integrated fluorescence response.

A match in total fluorescence change in soma and dendrites would not be expected for spatial stimuli that generate differential input across the dendritic arbor of a cell, or for cell types with active (nonlinear) signal processing mechanisms in the dendrites—such as starburst amacrine cells (Hausselt et al., 2007) or direction-selective ganglion cells. Our measurements show that GCaMP3 can be used to detect and study such mechanisms.

GCaMP3 versus OGB: similar kinetics, higher resolution, and greater photostability

We identified many advantages of GCaMP3 over traditional small molecule calcium dyes. Although both produced light-evoked fluorescent responses with comparable amplitude and kinetics, GCaMP3 labeling gave useful cell type specificity and enabled functional imaging at subcellular resolution: GCaMP3 labeled neurites clearly, whereas OGB diffusely labeled neuropil. In addition, GCaMP3 was photostable under repeated illumination, whereas OGB showed profound photobleaching.

Genetic targeting methods can be combined to study identified cell types in parallel

We identified different promoter elements, transfection methods, and viral serotypes to target GCaMP3 expression with a degree of selectivity that ranged from indiscriminant expression [all types within a class (e.g., both rod and cone photoreceptors); all ganglion cell types], via expression in just a subset of types (ON- and not OFF-type bipolar cells), to expression in just a single neuron type among many in its class (AII amacrine cells) (Xin and Bloomfield, 1999). GCaMP3-labeled cells exhibited the cytoplasmic-specific fluorescence characteristic of cells that have not been damaged by overexpression of the sensor protein (Tian et al., 2009). The constructs can be used to produce retinal tissues with predictable and reproducible expression of GCaMP3 in selected neuron types. This is extremely useful for targeted electrophysiology and optical recording of neuronal activity at subcellular or circuit levels, with high temporal and spatial resolution. Preliminary data show that, for two coinjected vectors, expression patterns are additive (see Notes). This “genetic superposition” allows targeting multiple cell classes in the same retina, for example to record calcium dynamics in presynaptic and postsynaptic neurons simultaneously. Ideally, indicators with nonoverlapping spectral bandwidth will be developed in the future to take full advantage of this.

Two-photon fluorescence imaging in a light-sensitive part of the brain

When recording from the retina with optical methods, it is important to take into account that this tissue contains light-sensitive neurons—a caution that does not apply to other brain preparations. Because of the exceptional light sensitivity and signal transduction cascade of the photoreceptors [in the dark-adapted retina, individual photoisomerization events can be detected in the ganglion cell spike response (Barlow et al., 1971)], the scan laser can evoke large responses, even with a high numerical aperture objective and focal plane >150 µm above the photoreceptor layer. Furthermore, the presence of at least one group of melanopsin-containing (intrinsically photosensitive) ganglion cells must be taken into consideration.

In summary, the strength of the laser-evoked response depends on several factors including the light-adapted state of the retina, the ratio of scan area to receptive field area, the distance between the focal plane of the scan laser and the photoreceptors, and the response gain (i.e., the calcium response amplitude per unit intensity change). As such, the scan laser evokes different levels of activation in different cell types and scan configurations. Light adapting the retina with a constant visible light source, or potentially through continuous laser scanning, can help minimize scan artifacts. When experiments permit, using a retinal slice preparation instead of a whole-mount preparation (see Notes) can avoid scan laser artifacts altogether.

GCaMP3 is broadly applicable across experimental paradigms

The properties that we report here for GCaMP3 permit simultaneous optical recording from populations of retinal neurons, both spiking and nonspiking. The sensor is sufficiently sensitive to identify specific ganglion cell types based on their fluorescence morphology and stimulus-evoked responses. In addition to optical measurements, identified cells can be efficiently targeted for anatomical tracing, electrophysiological recording, or single-cell PCR. With GCaMP3, one can study calcium dynamics in dendrites, somas, and axonal arbors, and compare these dynamics between multiple neurons of same or different type, recorded simultaneously at scan rates up to (but not limited to) 60 frames per second (see Notes).

Specific connectivity between cells in a circuit can be resolved through current injection in one cell and simultaneous monitoring of fluorescence responses in surrounding GCaMP3-expressing cells. Coupled neurons so identified can then be targeted for electrophysiological recording (e.g., using dual patch to quantify the connectivity pattern). Finally, GCaMP3 photostability permits stable (time lapse) recording of a labeled structure for multiple hours so that it can be used to test for sustained changes in intracellular calcium concentration that may be associated with adaptive mechanisms such as long-term synaptic potentiation, light adaptation, and contrast gain control. This, together with genetic encodability, permits measurements from the same neurons over extended time periods in vivo [several months (Tian et al., 2009)], which is not feasible with OGB because dye injection permits optical recording over a short time period only (<1 d).

GCaMP3 shows potential for proposing testable hypotheses about the function of particular neuronal populations (Fig. 2). The success of such a paradigm depends on the discriminatory power of the stimulus. It would be expected to work best when identifying characteristics are “discrete” (all-or-none), such as blue-green color opponency (Ekesten et al., 2000), or direction selectivity (Weng et al., 2005)—as demonstrated here (Fig. 10). However, this still leaves unsorted more than a dozen ganglion cell types, most of which are traditionally classified by their dendritic arbor or spatiotemporal receptive fields, and range from large and fast to small and slow, and are much less discrete (Roska and Werblin, 2001; Sun et al., 2002; Kong et al., 2005). Improved cell type-specific expression methods, more subtle optical stimulation paradigms, and large-scale analysis of retinal neuron populations will likely allow annotation of many of these cell types.

Limitations of GCaMP3

An ideal sensor for the optical readout of neural activity would permit unambiguous inference of the time-varying spike (or graded potential) history of a cell from its evolving fluorescence response. Electrophysiological recordings of GCaMP3-expressing cells showed that a change in fluorescence signal always signaled a change in spiking. However, a change in spiking did not always give a detectable change in fluorescence, particularly at low firing rates. Thus, GCaMP3 is most reliable in the suprathreshold stimulus regime [consistent with previous measurements (Tian et al., 2009)]. Ambiguity also exists between expression level and spontaneous spike rate: whether a cell is bright because of high indicator expression level or to high spontaneous activity cannot be known without an electrophysiological measurement, pharmacological manipulation, or proxy for sensor expression level. Because sensor gain varied from cell to cell (even within a functional type), calculating absolute spike rates from the measured fluorescence signal is not possible in principle without additional calibration.

The cell-to-cell variation ofGCaMP3gain and linearity will result in serious problems for population coding studies. Additional experiments are required to determine whether this is attributable to differences in indicator concentration, cell type-dependent indicator properties, or other phenomena. Ratiometric GECIs [such as D3cpV (Wallace et al., 2008), TN-XXL (Mank et al., 2008), and YC3.60 (Lütcke et al., 2010)] may be preferable to single-wavelength indicators such as GCaMP3 for quantifying cellular [Ca2+] and precise levels of neural activity, although in situ calibration is always required. Coexpression or direct fusion of a reference fluorescent protein along with GCaMP3 might aid quantification of neural activity from fluorescent responses.

Long-term overexpression of GECIs can result in altered cell physiology, fluorescent morphology, and Ca2+ handling, even culminating in behavioral changes (Tian et al., 2009). The exact cause of these effects is unknown, but Ca2+ buffering and CaM/M13 interference with endogenous proteins have been implicated (Hasan et al., 2004). Nuclear fluorescence has been shown to be an optical correlate for GCaMP3-induced cytomorbidity (Tian et al., 2009), although mechanistic details are lacking. In our study, retinas were harvested 2–4 weeks after viral transduction. All retinas had apparently healthy cells (Figs. 27, ,9,9, ,10)10) with nuclear-excluded fluorescence, but subtle defects from GCaMP3 overexpression cannot be ruled out.

Improved GECIs, more varied promoter and viral tropism variants, and good assays will further facilitate cellular-resolution mapping of the retina and many other circuits in the future.

Supplementary Material

Suppl1

Acknowledgments

This work was supported by the Howard Hughes Medical Institute (B.G.B., L.T., B.Y.Z., and L.L.L.) and the National Institutes of Health (Y.X., S.S.N., and N.V.). Experiments were performed in the laboratory of Anthony Leonardo. Karel Svoboda generously provided the two-photon microscope and advised the project. We thank Vijay Iyer for technical assistance with the imaging system and scan software. OGB-1-AM was a generous gift from Luke Lavis. Thanks to Anthony Leonardo and Vivek Jayaraman for helpful discussion. We thank Amy Hu and Alma Arnold for assistance with histology. All affiliations are Howard Hughes Medical Institute, Janelia Farm. We also thank Jean Bennett and Albert Maguire (University of Pennsylvania) for introducing B.G.B. to the use of viral methods and intravitreal injection into the living mouse eye. All constructs and viruses used in this research are available from the University of Pennsylvania Vector Core (http://www.med.upenn.edu/gtp/vector_core.shtml). All experiments were conducted according to protocols approved by the Institutional Animal Care and Use and Institutional Biosafety Committees of the Howard Hughes Medical Institute, Janelia Farm Research Campus. B.G.B. and L.L.L. designed the research. B.G.B. performed all experiments. L.T. created GCaMP3 constructs. B.V.Z. created AAV vectors and constructed the synthetic mGluR1 promoter. N.V., Y.X., and S.S.N. electroporated retinas and assisted with bipolar cell recordings. B.G.B. and L.L.L. wrote the paper, with input from the other authors.

Footnotes

The authors declare no competing financial interests.

Supplemental material for this article is available at http://research.janelia.org/looger/Supp_Borghuis2010/. This material has not been peer reviewed.

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