The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

Research Articles, Systems/Circuits

Journal of Neuroscience 14 October 2020, 40 (42) 8132-8148; DOI: https://doi.org/10.1523/JNEUROSCI.1671-20.2020

Abstract

Two main subcortical pathways serving conscious visual perception are the midget-parvocellular (P), and the parasol-magnocellular (M) pathways. It is generally accepted that the P pathway serves red-green color vision, but the relative contribution of P and M pathways to spatial vision is a long-standing and unresolved issue. Here, we mapped the spatial sampling properties of P and M pathways across the human retina. Data were obtained from immunolabeled vertical sections of six postmortem male and female human donor retinas and imaged using high-resolution microscopy. Cone photoreceptors, OFF-midget bipolar cells (P pathway), OFF-diffuse bipolar (DB) types DB3a and DB3b (M pathway), and ganglion cells were counted along the temporal horizontal meridian, taking foveal spatial distortions (postreceptoral displacements) into account. We found that the density of OFF-midget bipolar and OFF-midget ganglion cells can support one-to-one connections to 1.05-mm (3.6°) eccentricity. One-to-one connections of cones to OFF-midget bipolar cells are present to at least 10-mm (35°) eccentricity. The OFF-midget ganglion cell array acuity is well-matched to photopic spatial acuity measures throughout the central 35°, but the OFF-parasol array acuity is well below photopic spatial acuity, supporting the view that the P pathway underlies high-acuity spatial vision. Outside the fovea, array acuity of both OFF-midget and OFF-DB cells exceeds psychophysical measures of photopic spatial acuity. We conclude that parasol and midget pathway bipolar cells deliver high-acuity spatial signals to the inner plexiform layer, but outside the fovea, this spatial resolution is lost at the level of ganglion cells.

SIGNIFICANCE STATEMENT We make accurate maps of the spatial density and distribution of neurons in the human retina to aid in understanding human spatial vision, interpretation of diagnostic tests, and the implementation of therapies for retinal diseases. Here, we map neurons involved with the midget-parvocellular (P pathway) and parasol-magnocellular (M pathway) through human retina. We find that P-type bipolar cells outnumber M-type bipolar cells at all eccentricities. We show that cone photoreceptors and P-type pathway bipolar cells are tightly connected throughout the retina, but that spatial resolution is lost at the level of the ganglion cells. Overall, the results support the view that the P pathway is specialized to serve both high acuity vision and red-green color vision.

  • human vision
  • magnocellular
  • parvocellular
  • primate retina
  • spatial acuity
  • subcortical visual pathways

Introduction

Neurons in the retina are organized into parallel pathways that convey signals serving distinct submodalities of vision (Wässle, 2004). Knowledge of the morphology and spatial distribution of retinal cells involved in specific pathways is pivotal to understanding how the visual scene is processed, and more broadly in relating the underlying precision of neural wiring to human visual performance.

It is customary to describe the midget-parvocellular (P) pathway in diurnal primates as serving high acuity achromatic vision and red/green color vision (Nassi and Callaway, 2009; Lee et al., 2010), whereas the parasol-magnocellular (M) pathway is primarily involved in motion detection (Kaplan and Shapley, 1986; Croner and Kaplan, 1995; Crook et al., 2008). This view is however not universally accepted, because several features of P cell receptive fields (for example, low contrast sensitivity) are inconsistent with properties of human spatial vision (for review, see Shapley and Perry, 1986; Lee et al., 2010). The broad aim of the present study is to measure spatial sampling properties of bipolar cell arrays serving P and M pathways in human retina and judge their suitability as substrates for human form and color vision. We concentrate here on OFF-bipolar arrays because well-characterized antibodies to label OFF-P and OFF-M bipolar cells are available.

The resolution capacity of the P pathway in the fovea is set by the one-to-one convergence and tight synaptic connectivity between cones, midget bipolar, and midget ganglion cells. Studies in macaque and human retina showed over 80% of bipolar input to midget ganglion cells derives from midget bipolar cells (Kolb and DeKorver, 1991; Calkins et al., 1994; Tsukamoto and Omi, 2015). In macaques, the one-to-one ratio between cones and midget bipolar cells extends to at least 8-mm (40°) eccentricity (Wässle et al., 1994), but it is not known whether the same pattern of connections is present in human retina. This is an important question because an array of single-cone contacting midget bipolar cells can deliver both spatial and chromatic selective signals to the inner plexiform layer, and support chromatic selective responses in midget ganglion cells in peripheral retina (Martin et al., 2001; Reid and Shapley, 2002; Kolb and Marshak, 2003; Buzás et al., 2006; Wool et al., 2018).

There is evidence that the M pathway is involved in spatial vision at low image contrast, because individual parasol ganglion cells have threshold spatial acuity as high as that of individual midget ganglion cells (Kaplan and Shapley, 1986; Crook et al., 1988, 2008; Merigan et al., 1991; Croner and Kaplan, 1995). Parasol ganglion cells receive cone input via diffuse bipolar (DB) cells which contact multiple cone photoreceptors (Boycott and Wässle, 1991). Studies in macaque and marmoset retinas showed that the major bipolar input to OFF-parasol cells derives from DB3a, with lesser input from DB2 and DB3b cells (Jacoby and Marshak, 2000; Jacoby et al., 2000; Tsukamoto and Omi, 2015; Masri et al., 2016), whereas the input to ON-parasol ganglion cells derives mainly from DB4 and DB5 cells (Puthussery et al., 2013; Tsukamoto and Omi, 2016). The spatial density of these bipolar cell arrays sets an upper bound to spatial resolution capacity of the M pathway, but only one population (DB4 cells) has been analyzed quantitatively in macaque retina and no data are available for human retina (Grünert and Martin, 2020). Here, we measured spatial density of DB3a and DB3b cells in human retina to establish the distribution of DB cells contributing to the OFF-M pathway.

In the fovea, ganglion cells are displaced from the position of the cones that feed the receptive field center (Sjöstrand et al., 1999; Drasdo et al., 2007; Bringmann et al., 2018). Here, we measured lateral displacements in the same preparations as used to determine the densities of cones, bipolar and ganglion cells, enabling accurate calculation of the spatial resolving power of bipolar cells feeding P and M pathways in the human fovea.

Materials and Methods

Tissue collection and preparation

Postmortem human eyes from male and female donors with no known history of eye disease were obtained from the Lions NSW Eye Bank (Sydney Eye Hospital) and Australian Ocular Biobank with consent and ethical approval from The University of Sydney Human Research Ethics Committee (HREC #2012/2833). Information about the donor eyes is summarized in Table 1. Four of the retinas used in this study were also used in our previous study on the rod pathway in human retina (Lee et al., 2019). Retinas from donors under 60 years of age with a postmortem delay shorter than 10 h from death to fixation were used. Eyes were received with the cornea removed, and in most cases, the posterior eye cup was immersed in 2% paraformaldehyde (PFA) in 0.1 m phosphate buffer (PB). In one case (#15415), eyes were first placed into CO2 independent medium (Invitrogen) for 1 h and subsequently fixed in 2% PFA in 0.1 m PB. Eyes were rinsed in 0.1 m PB, and the retina was dissected out of the eye cup. The vitreous was removed and relieving cuts were made to flatten the retina. Retina quadrants were immersed in 30% sucrose in 0.1 m PB overnight, then frozen in liquid nitrogen, and stored at −80°C until use. Retinal pieces measuring 3–5 mm in width and 4–5 mm in length were prepared from defined eccentricities along the nasal-temporal axis (1 mm nasal to 15 mm temporal). The retinal pieces were embedded in 3% low melting Agarose (Sea Plaque Agarose Lonza) dissolved in PBS and sectioned vertically at a thickness of 100 µm using a Vibratome (VT 1200 S, Leica Microsystems). Sections were processed immediately or kept in 0.1 m PB containing 0.05% NaN3 for up to four weeks until use.

Table 1.

Details of donor retinas

Immunohistochemistry

Sections were preincubated in 5% normal donkey serum (NDS; Jackson ImmunoResearch) and 0.5% Triton X-100 (BDH Chemicals) in PBS for 1 h or overnight. The antibodies used in this study are summarized in Table 2. Antibodies against recoverin were used to identify OFF-midget bipolar cells (Milam et al., 1993), antibodies against calbindin were used to identify DB3a cells (Haverkamp et al., 2003), and antibodies against CD15 were used to identify DB3b cells (Haverkamp et al., 2003; Puthussery et al., 2013). Cones were labeled with antibodies against cone arrestin (Wikler et al., 1997; Zhang et al., 2003), short wavelength-sensitive cones (S-cones) with antibodies against S-opsin, and ganglion cells were labeled with antibodies against RNA-binding protein with multiple splicing (RBPMS; Rodriguez et al., 2014). Sections were incubated with primary antibodies diluted in PBS containing 0.5% Triton X-100, 0.05% NaN3, and 3% NDS for 4–7 d. Secondary antibodies (made in donkey) coupled to Alexa 594, Alexa 488 or Alexa 647 (Jackson ImmunoResearch) were diluted in PBS containing 0.5% Triton X-100 and 3% NDS. The nuclear stain 4',6-diamidino-2-phenylindole dihydrochloride (DAPI; 10 µg/ml; D9542, Sigma) was usually added to the secondary antibody diluent. Sections were incubated in secondary antibody for 14–24 h. Adhesive spacers (20-mm diameter, 0.12-mm depth; ThermoFisher Scientific) were fitted onto poly-lysine-coated microscope slides. The tissue was rinsed, mounted within the wells of the adhesive spacers, then coverslipped using Vectashield Mounting Medium (Vector Laboratories Inc.).

Table 2.

Antibodies used in the current study

Microscopy

Images were obtained using a confocal scanning microscope (Zeiss LSM700) equipped with 405-, 408-, 555-, and 635-nm lasers. The entire vibratome section (at least 3 mm in length and up to 100-µm thickness) was imaged in tiled stacks which were subsequently stitched using Zeiss ZEN Black software. Stacks of images were obtained using 20× air objective (Plan Apochromat no. 420650-9901) at a resolution of 2048 × 2048 or 1024 × 1024 pixels and a step size of 0.87–1 µm for each optical section. At the fovea, we used a 40× water immersion objective (Plan Apochromat no. 421767-9970) to obtain stacks of images to distinguish individual cones. Depth readings taken using the air objective were corrected to account for the refractive index of the Vectashield mounting medium (1.45). The contrast and brightness of the images were adjusted using Zen Blue (Zeiss), Adobe Photoshop, or Imaris (Bitplane) software.

Experimental design and statistical analysis

Individual OFF-midget bipolar and DB cells (DB3a and DB3b) were reconstructed from stacks of confocal images using the surface tool in Imaris. The diameter of the bipolar axon terminals was measured from reconstructed terminals at three different eccentricities.

The density of cells was determined from tiled stacks of images using Zeiss ZEN Blue software as described previously by Lee et al. (2019). Cells were counted from volumetric reconstructions of Vibratome sections. The length of the section was divided into bins of 100 µm width, and cells were counted within each bin across a minimum depth of 10 µm in the z-plane. Areal densities (cells/mm2) were calculated for each bin using the formula

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
, where D is cell density, w is the bin width, and d is depth in the z-plane. Counts were made from between 9 and 21 sections for each antibody; a minimum of 20 cells was counted for each 100-µm bin by adjusting the z-plane sample depth. As in our previous study (Lee et al., 2019), these values were chosen to give the best practical compromise between sample statistical power at each point (i.e., ∼5% sample noise at each point) and accurate estimates of cell density gradients (i.e., 10 density samples/linear mm). For one preparation (case #1357R; recoverin staining) density values were cross-checked against counts obtained from whole mount pieces flanking the vibratome section yielding consistent results.

Cells were counted when the morphology, stratification, and pattern of expression was consistent with previous descriptions: OFF-midget bipolar cells (Boycott and Wässle, 1991; Milam et al., 1993; Wässle et al., 1994; Kolb and Marshak, 2003); DB cells (Boycott and Wässle, 1991; Grünert et al., 1994; Jacoby et al., 2000; Tsukamoto and Omi, 2015). Ganglion cells were always counted in conjunction with the DAPI nuclear stain to identify the nucleus and thereby avoid counting the same cell in more than one optical plane. Vertical sections taken across the entire length and depth of the fovea were used to locate the foveal center where the foveal pit was deepest and the cone density was highest.

Eccentricity was calculated by taking into account the triangulated distance from the fovea. Average densities for each cell population were determined from samples at various eccentricities along the temporal horizontal meridian. No correction for shrinkage was applied because (1) the retina remained attached to the ora serrata and retinal pigment epithelium during fixation, (2) PFA fixation produces minimal shrinkage (Curcio and Allen, 1990; Abbott et al., 2009), and (3) the tissue was mounted using a water based mounting medium (Vectashield). Postreceptoral cell density as a function of eccentricity was fit in MATLAB V9.2 (MathWorks) with three-stage difference-of-exponentials functions, across eccentricities from 0 to 15 mm along the temporal horizontal axis. Because a limited number of foveal sections was available, our sample resolution at the foveal center is lower than that achieved in previous studies of cones and ganglion cells in human retina (Curcio and Allen, 1990; Curcio et al., 1990). Optimal fit parameters are given in Table 3 for the equation:

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
, where D is cell density (cells/mm2),
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
are exponential coefficients,
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
are multiplicative coefficients, and X is eccentricity (mm). Negative fit values in the fovea were set to zero. Cumulative density across the horizontal meridian was calculated by circular integration of spatial densities within annuli of defined eccentricity ranges, radiating from the foveal center in a “bullseye” pattern. The following formula was applied to calculate the number of cells within each annulus:
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
where
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
represents the radius of the outer border and
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
represents the radius of the inner border of the eccentricity range in question.

Table 3.

Best fit parameters for pooled data

For comparison to human photopic acuity measurements, the maximum resolvable spatial frequency (Nyquist limit) of an hexagonal mosaic with spatial density D was calculated for each measured cell population using the formula

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
, where N is the Nyquist limit (cycles per degree), m is the retinal magnification factor, and a is the intercell distance. Intercell distance was calculated as
The lateral displacement of bipolar and ganglion cells within the macula lutea allow for
, where D is the population spatial density (cells/mm2). For simplicity, we ignored the nonlinear relation of retinal magnification to eccentricity (Drasdo and Fowler, 1974); we used a constant magnification factor of 0.29 mm/°. This simplification introduces maximum ∼10% overestimate of retinal magnification at 30°; exact magnification values can be recovered by reference to Drasdo and Fowler (1974; their Figure 5).

Receptoral and postreceptoral displacement

Receptoral displacement (Henle fiber length) in temporal retina was determined using stacks of confocal images to trace the axons of individual cone photoreceptors to their synaptic terminal (cone pedicle). The horizontal distance between the cone pedicle and the soma was measured. Postreceptoral displacement was measured as the horizontal distance from the midline of the dendritic tree (presumed location of the cone pedicle) of the bipolar cell to the midline of the bipolar axon terminal.

Terminology

Based on previous studies (Hendrickson, 2005; Provis et al., 2013; Strettoi et al., 2018; Lee et al., 2019), we employ the following definitions: foveal retina refers to a radius of 0.8 mm (5.5° diameter of visual angle), central retina refers to eccentricities up to 3.0 mm (first 10° radius of visual angle) where the ganglion cell layer is more than one cell thick, roughly equivalent to the diameter of the macula lutea (Boycott et al., 1987; Bringmann et al., 2018), mid-peripheral retina refers to eccentricities between 3.0 and 6 mm and eccentricities beyond 6 mm are referred to as far peripheral retina.

Results

Data were obtained from one male and five female human donor retinas aged from 30 to 60 years (Table 1). Retinas were free from any obvious pathology, and the yellow pigment of the macula lutea was readily distinguishable (which facilitated identification of the fovea before sectioning). We did not specifically address the question of age-related differences in the distribution of retinal neurons but observed that variation between retinas was not obviously dependent on donor age. Figure 1 shows confocal images of vertical sections through the fovea of a 54-year-old (#15415; Fig. 1A) and a 44-year-old (#14604; Fig. 1B–H) female donor. The center of the fovea, where cone photoreceptor density is highest and the inner retinal layers are displaced, is indicated by the arrow in Figure 1A. The figure also shows that the thickness of the nuclear layers, and thus the cell density changes significantly with eccentricity.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 1.

Retinal layers across the horizontal meridian. Confocal images of vertical sections through human retina cut through the fovea along the horizontal axis. A, Micrograph of a vertical section cut through the fovea of retina #15415. Nomarski optics is used to reveal retinal layers, the arrow points to the foveal pit. Tick marks are 500 µm apart. B, Micrograph of a vertical section cut through the fovea of retina #14064 showing DAPI nuclear stain. C–H, Regions of interest from retina #14064 showing DAPI labeled nuclei at different eccentricities. The ganglion cell layer is six cells deep at 1-mm eccentricity and about one cell deep by 5-mm eccentricity. ONL: outer nuclear layer, INL: inner nuclear layer, GCL: ganglion cell layer. Scale bars: 200 µm (B) and 50 µm (C, applies to C–H).

Multiple immunohistochemical markers were applied to such sections to compare different populations of neurons in the same preparation. Each section was imaged across its entire length and Z-stack depth at high resolution. Regions where there was distortion of retinal layers or poor immunohistochemical staining were excluded from the cell counts.

Cone photoreceptors

As reported previously, cone arrestin is expressed in the entire cone including the outer and inner segments, the axon (Henle fiber) and the pedicles of all cone types (Wikler et al., 1997; Zhang et al., 2003). This pattern of expression is consistent across all eccentricities (Fig. 2A–E). Figure 2A–E also shows that the diameter of the cone inner and outer segments increases with eccentricity whereas the cone density decreases.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 2.

Cone photoreceptors: immunohistochemical labeling and spatial density. A–E, Confocal images of vertical vibratome sections through the fovea stained with antibodies against cone arrestin to reveal cone photoreceptors in preparation #14064. Eccentricities are indicated in the upper right corners of the images. The diameter of the cone inner segments increases with eccentricity as cones become less tightly packed. The arrow in E points to the inner segment of a cone. F, Confocal image of a vertical section through the fovea of preparation #15415L showing S-opsin expression. S-cones are near-absent at the fovea. The Henle fibers of the S-cones can be observed. The inset in F shows a different focal plane of the same vibratome section. The region is 115 µm wide and includes the S-cone-free zone at the foveal center. Total cone density (G) and S-cone density (I) are plotted against eccentricity from up to six preparations. Each preparation is allocated a unique symbol and each point on the graph represents the density (y-axis) of the target cell type within a counting window at a particular eccentricity (x-axis). Pooled data from the six preparations is fit to a curve shown in H for all cones and in J for S-cones. Error bars (in many cases smaller than the marker symbols) show SDs. ONL: outer nuclear layer, HFL: Henle fiber layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bars: 50 µm (E, applies to A–E) and 100 µm (F).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 3.

OFF-midget bipolar cells: immunohistochemical labeling and spatial density. A–D, Confocal micrographs of a vertical section from preparation #14064 stained with antibodies against recoverin to label OFF-midget bipolar cells. Recoverin immunoreactivity is shown in conjunction with Nomarski optics to reveal retinal layers. Expression of recoverin can be observed in the photoreceptors as well as OFF-midget bipolar cells. E, Spatial density of OFF-midget bipolar cells is plotted against eccentricity for four preparations. F, Pooled data from the four preparations in E, fit to a curve to illustrate population density of OFF-midget bipolar cells across the retina. Error bars (in many cases smaller than the marker symbols) show SDs. ONL: outer nuclear layer, HFL: Henle fiber layer, OPL: outer plexiform layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bar: 50 µm (D, applies to A–D).

Cone density was estimated in fourteen vibratome sections from four preparations stained for cone arrestin by counting the cone inner segments (Fig. 2E, arrow). In two sections from mid-peripheral and far peripheral retina (preparations #13587 and #15415), cone density was estimated from calbindin labeling. Calbindin is expressed by medium and long wavelength but not S-cone photoreceptors in human retina (Chiquet et al., 2002). Thus, these latter counts do not include S-cones.

Peak cone density at the foveal center was derived from two preparations which demonstrated comparable density (150,667 cells/mm2 and 141,935 cells/mm2; Fig. 2G,H). These values are lower than the average peak density of 199,000 cells/mm2 reported by Curcio and colleagues, who measured density from whole mount preparations (Curcio et al., 1990), but our values lie within the range of individual variability in their study. The density of cones in the foveal center changes dramatically such that an error of 100 µm could reduce the peak cone density by half (Packer et al., 1989), meaning that we may have underestimated peak foveal densities. Overall, the pattern of cone distribution across the retina is consistent with previous reports (Østerberg, 1935; Curcio et al., 1990; Sjöstrand et al., 1999): cone density declines steeply outside the fovea, falling to an average of 15,000 cells/mm2 by 1-mm eccentricity. The cone density continues to decline gradually in mid-peripheral retina and drops to ∼3500 cells/mm2 beyond 12-mm eccentricity (Fig. 2G,H).

The S-cones were identified with an antibody against S-opsin (Fig. 2F). As expected, S-cones are sparse in the fovea and absent at the foveola (Curcio et al., 1991). The S-cones were counted at the level of their inner segments (#13587, #13699, #14064) or their somas (#15415 and #15649). The S-cone density was estimated in six preparations from 20 sections, two of which included the foveal center (Fig. 2I). Consistent with previous reports (Curcio et al., 1991), average S-cone density peaks at 0.36-mm eccentricity temporal with a density of 2400 cells/mm2 (range 2100–2880 cells/mm2; Fig. 2J). The location of the peak varied slightly between preparations, ranging from 0.23- to 0.32-mm eccentricity. The S-cone free zone was measured across the temporal axis in one preparation (#15415): it had a diameter of 70 µm, with the first S-cones appearing as close as 30-µm eccentricity in temporal retina (Fig. 2F, inset). The proportion of S-cones was determined from the pooled data shown in Figure 2H,J. The S-cones made up 6% of the cone population at their average peak density, and this proportion gradually increased to ∼8–10% beyond 1-mm eccentricity. These findings are consistent with previous reports in human (Curcio et al., 1991) and non-human primates (Marc and Sperling, 1977; Wikler and Rakic, 1990; Martin and Grünert, 1999). Taken together, our results show that the density of cone photoreceptors can be quantified using immunolabeled vertical sections through the retina, but some accuracy may be sacrificed in estimates of peak cone density.

Off-midget bipolar cells

Consistent with previous findings in human retina (Milam et al., 1993; Haverkamp et al., 2003) recoverin is expressed by rod and cone photoreceptors and also by large numbers of bipolar cells with cell bodies in the center of the inner nuclear layer (Figs. 3A–D, 4B). Recoverin immunoreactivity is present in the primary dendrite, the soma, and the axon terminal of the bipolar cells. The broadly stratifying axonal terminals are located in the outer half of the inner plexiform layer. This morphology is consistent with descriptions of OFF-midget bipolar cells (Kolb et al., 1992; Milam et al., 1993; Wässle et al., 1994). We note that Milam et al. (1993) suggest that recoverin is expressed by another bipolar cell type which is present at very low densities. We could not isolate an additional recoverin positive bipolar cell, but if this population is present its inclusion would result in only a slight overestimation of OFF-midget bipolar cell density.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 4.

Convergence of cones to midget bipolar cells. A, B, Confocal images of a vertical vibratome section through temporal retina 300 µm superior to the fovea of preparation #14064 stained with antibodies against cone arrestin (A) and recoverin (B). C–E, Confocal images from sections double labeled for cone arrestin and recoverin to illustrate connectivity between cone photoreceptors and OFF-midget bipolar cells at various eccentricities. Insets in each image show that single-headed flat midget bipolar cells can be identified up to at least 10-mm eccentricity. Eccentricity is indicated in the lower left corner. F, G, Cell density is plotted against eccentricity for cone photoreceptors and flat midget bipolar cells in preparation #13587 (F) and #14064 (G). Open circle symbols in panel F show values obtained from whole mounts, as described in the text. The curves represent the average density of cone photoreceptors across all preparations. In both preparations, the ratio of cones to OFF-midget bipolar cells is 1:1 in peripheral retina. Scale bars: 200 µm (B, applies to A, B) and 50 µm (E, applies to C–E).

In total 17 vibratome sections from four retinal preparations processed with antibodies against recoverin were analyzed; four sections included the fovea. In one preparation (#15649), some recoverin-labeled somas were also encountered near the border with the inner plexiform layer (data not shown). These cells did not show the typical bipolar morphology and thus were presumed to be amacrine cells and excluded from the counts. In preparation #15415 recoverin immunoreactivity was present in photoreceptors but near absent in bipolar cells, although the expression of other immunohistochemical markers was normal in this preparation (e.g. Fig. 2F). This preparation was not included in the density counts for midget bipolar cells.

Figure 3E,F shows the spatial density of recoverin labeled OFF-midget bipolar cells in four preparations. The greatest variation in density between preparations is between 0.5- and 1.5-mm eccentricity (Fig. 3E). The density of OFF-midget bipolar cells peaks near 1 mm at an average of 22,000 cells/mm2 (range 19,700–31,800 cells/mm2; Fig. 3F). The pooled fit shows the density of OFF-midget bipolar cells decreases rapidly between 1 and 4 mm, and then gradually declines to 6300 cells/mm2 by 9-mm eccentricity. There was no obvious variation in the distribution of OFF midget bipolar cells between temporal and nasal retina within 1 mm from the fovea. Peripheral nasal retina was not studied.

In one preparation (case #13587R) we compared the areal density calculated for recoverin-labeled cells with density measured from two flat mount pieces flanking the vibratome sections in peripheral retina (Fig. 4F, open circles). The whole mount counts yielded only marginally lower density estimates (mean ± SD, 4184 ± 545, n = 8) than did the vibratome section counts (5143 ± 938; n = 14; p = 0.02, Wilcoxon non-parametric rank-sum test for independent samples), indicating there is no large systematic bias in estimates of areal density from vertical sections.

We analyzed vibratome sections double labeled for cone arrestin (Fig. 4A) and recoverin (Fig. 4B) and found abundant examples of OFF-midget bipolar dendrites contacting single cone pedicles in central (Fig. 4C), mid-peripheral (Fig. 4D), and far peripheral (Fig. 4E) retina. We did not see clear examples of branched midget bipolar dendrites at eccentricities below 8 mm, but we did observe occasional examples of midget bipolar cells contacting multiple cones at eccentricities between 8 and 10 mm (Fig. 5C).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 5.

Reconstructions of OFF-midget bipolar cells. A–C, Confocal images and three-dimensional reconstructions of OFF-midget bipolar cells from recoverin-labeled vertical sections taken at three different eccentricities (indicated in the lower right corner). INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bar: 20 µm (A, applies to all).

We used double-labeled sections to directly compare the spatial density of cone photoreceptors and OFF-midget bipolar cells within the same preparation (#13587 and #14064). In both preparations the ratio of cones to OFF-midget bipolar cells is close to 1:1 up to at least 10-mm eccentricity (Figs. 4F,G). Taken together, the matched spatial densities and abundance of single-cone contacting OFF-midget bipolar cells implies predominantly one-to-one connectivity between these two populations at least to 10-mm (∼35°) eccentricity. Kolb et al. (1992) obtained consistent results from Golgi impregnated human retina and also showed examples of single-cone contacting invaginating (ON) midget bipolar cells up to 8-mm eccentricity their Fig. 26C, suggesting that low cone convergence may also be a feature of the ON-midget system in human retina.

We measured the diameter of the axonal terminals for reconstructed midget bipolar cells at 1-, 4-, and 10-mm eccentricity (Fig. 5A–C). The average axon terminal diameter was 10 µm (±1.8 µm, n = 10) at 1-mm eccentricity, 16.7 µm (±2.2 µm, n = 10) at 4-mm eccentricity, and 20.1 µm (±3.1 µm, n = 10) at 10-mm eccentricity. We used measurements of dendritic field diameters of midget ganglion cells from published data (Dacey and Petersen, 1992) and divided the average dendritic field area by the axon terminal area of midget bipolar cells. This result indicates that each midget bipolar cell provides input to one midget ganglion cell at 1 mm, increasing to over 10 midget bipolar cells converging onto each midget ganglion cell at 10 mm. Kolb and Marshak (2003) reported compatible values for central and mid-peripheral retina but lower convergence (∼4:1) from midget bipolar to midget ganglion cells in peripheral retina.

DB3a and DB3b cells

DB cell types involved with OFF-parasol cells were identified with antibodies against calbindin (DB3a) and antibodies against CD15 (DB3b). Figure 6A shows a vertical section labeled with antibodies against calbindin. Immunoreactivity is present in cone photoreceptors, and in the inner nuclear layer, it is localized to horizontal, bipolar, and amacrine cells. The axon terminals of calbindin-labeled DB3a cells form a distinct band in the OFF sublamina close to the middle of the inner plexiform layer. Two other bands can be distinguished in the inner plexiform layer: one is located in the ON sublamina close to its center and the other is located at the border with the ganglion cell layer. These bands are respectively formed by the processes of ON starburst amacrine, and the dendrites of inner stratifying melanopsin-expressing ganglion cells (Chandra et al., 2019).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 6.

Immunohistochemical labeling of DB3a and DB3b cells. A, Confocal image of a vibratome section from preparation #13587 (central retina) stained with antibodies against calbindin, imaged with Nomarski optics to reveal retinal layers. Calbindin expression can be observed in cone photoreceptors, horizontal cells, amacrine cells, and in DB3a bipolar cells (arrowheads). B, Confocal image of a vibratome section from preparation #13699 (central retina) labeled with antibodies against CD15 and imaged with Nomarski optics. Expression of CD15 is restricted to DB3b bipolar cells. C–E, Region of interest from a section double labeled with antibodies against calbindin (green, DB3a cells) and antibodies against CD15 (magenta, DB3b cells). DB3a and DB3b cells form separate populations. The axon terminals of DB3a cells are indicated by arrows and are located slightly more sclerad than the axon terminals of DB3b cells. ONL: outer nuclear layer, HFL: Henle fiber layer, OPL: outer plexiform layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bars: 100 µm (B, applies to A, B) and 25 µm (E, applies to C–E).

Antibodies against CD15 (Fig. 6B) revealed a single bipolar cell type, the DB3b cell, which stratifies at nearly the same level as the DB3a cell in stratum 2 of the inner plexiform layer (Haverkamp et al., 2003; Puthussery et al., 2013). Antibodies against CD15 in human also revealed weak expression in the ganglion cell layer and diffuse expression across the inner plexiform layer (Fig. 6B). In double-labeled sections, it becomes obvious that DB3a and DB3b cells form distinct non-overlapping populations (Fig. 6C–E). This finding is consistent with recent RNA sequencing of the macaque retina which showed that DB3a and DB3b cells have distinct molecular signatures (Peng et al., 2019).

We quantified the spatial density of DB3a and DB3b cells from 19 sections in six preparations. As shown in Figure 7, the two bipolar types follow a very similar distribution. The first DB3a cells appear 100 µm from the foveal center and the first DB3b cells are present at 180 µm temporal to the fovea. Both cell types have similar peak density at around 1-mm eccentricity. The average peak density of DB3a cells is 3900 cells/mm2 (range 4000–7000 cells/mm2). The average peak density of DB3b cells is close to 3500 cells/mm2 (range 3000–7000 cells/mm2). The density for both DB3a and DB3b cells decreases in peripheral retina to fall below 1500 cells/mm2 by 10-mm eccentricity. Taken together, our results suggest that the density of DB3a and DB3b cells is well-matched across the retina.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 7.

Spatial density of DB3a and DB3b bipolar cells. A, Density of DB3a cells quantified using antibodies against calbindin in six preparations. B, Data from A fit to a sum of exponents curve to illustrate the spatial density of DB3a cells across temporal retina. C, The density of DB3b cells plotted against eccentricity for five preparations. DB3b cells were identified with antibodies against CD15. D, Pooled data across these five preparations fit to a sum of exponents curve to show the population density of DB3a cells up to 15 mm temporal to the fovea. DB3a and DB3b cells have comparable densities across the retina. Error bars in B, D (in many cases smaller than the marker symbols) show SDs.

Figure 8 shows reconstructions of calbindin-labeled DB3a cells (Fig. 8A) and CD15-labeled DB3b cells (Fig. 8B,C). The axon terminal diameter of DB3a and DB3b cells was measured from reconstructed cells in two preparations (#14064 and #15415). For DB3a cells, the average axon terminal diameter was 25 µm (±0.7 µm, n = 2), 26.2 µm (±2.4 µm, n = 5), and 26 µm (±4.0 µm, n = 5) at 1, 4, and 9 mm, respectively. For DB3b cells, the axon terminal diameter was 20.7 µm (±0.6 µm, n = 2), 29.2 µm (±2.8 µm, n = 5), and 35 µm (±4.0 µm, n = 5) at 1, 4, and 9 mm, respectively. The DB3a terminals were difficult to isolate, and the expression of CD15 was poor in some sections, hence our measurements of DB3a and DB3b axon terminal diameter should be regarded as approximations.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 8.

Reconstructions of DB3a and DB3b bipolar cells. Confocal images and three-dimensional reconstructions of DB cells from immunolabeled vertical sections. A, DB3a bipolar cells (magenta) reconstructed from a section labeled with antibodies against calbindin (green) in mid-peripheral (5 mm) retina. B, C, DB3b cells (green and magenta) reconstructed from a section labeled with antibodies against CD15 (red) in far peripheral (8–10 mm) retina. DAPI nuclear stain is shown in blue. INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bar: 20 µm (A, applies to A–C).

In comparison to OFF-midget bipolar cells (Figs. 3, 5), DB3a and DB3b cells have a larger axon terminal diameter and a lower density across the retina. The OFF midget bipolar cells outnumber DB3a and DB3b cells (combined) by a ratio of 3:1 across the retina. In central retina the axon terminal diameter of OFF-midget bipolar cells is less than half that of DB cells. Our results imply high convergence between cones and DB cells and reflect the lower density of parasol ganglion cells compared with midget ganglion cells across the retina (Rodieck et al., 1985; Dacey and Petersen, 1992).

Ganglion cells

We identified ganglion cells by their immunoreactivity to antibodies against RBPMS (Kwong et al., 2010; Rodriguez et al., 2014). As shown in Figure 9A–F, RBPMS was localized to most somas in the ganglion cell layer, whereas presumed displaced amacrine cells were not labeled (Fig. 9B–F, arrows). Consistent with previous reports (Polyak, 1941; Curcio and Allen, 1990; Grünert et al., 1993), some ganglion cells as well as other cell types were observed within the foveal pit (Fig. 9A).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 9.

Retinal ganglion cells: immunolabeling and spatial density. A, Confocal micrograph of a vertical section through the fovea of preparation #15415 showing DAPI-labeled cell nuclei (white) and RBPMS-labeled ganglion cell somas (green) within 250-µm radius of the foveal center. In addition to RBPMS-labeled ganglion cell somas, other cell nuclei can be observed on the foveal floor. B–F, Regions of interest from vertical sections of the same preparation shown in A showing RBPMS-positive ganglion cells together with Nomarski optics. Occasional displaced ganglion cells can be observed in the inner nuclear layer. Arrows point to cells in the ganglion cell layer which do not express RBPMS. G–J, Confocal images of a region of interest from a vertical section at 1.2-mm eccentricity labeled with antibodies against parvalbumin (magenta) and antibodies against RBPMS (green). G, Nomarski optics reveals the layers of the retina. H, RBPMS-labeled ganglion cell somas. I, Parvalbumin-labeled cells in the ganglion cell layer: J, The merged image shows that most ganglion cells are double labeled for RBPMS and parvalbumin but there is a small population of ganglion cells (arrowheads) that do not express parvalbumin. K, L, Ganglion cell density is shown relative to eccentricity. Data from five preparations is shown in K and average density across all preparations, fit to a sum of exponents, is shown in L. Error bars (in many cases smaller than the marker symbols) show SDs. ONL: outer nuclear layer, HFL: Henle fiber layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. Scale bars: 50 µm (A), 50 µm (B, applies to B–F), and 20 µm (G, applies to G–J).

In two preparations (#13699 and #14064), antibodies against the calcium binding protein parvalbumin, which label a large proportion of cells in the ganglion cell layer in human retina (de Souza et al., 2016; Kántor et al., 2016) were applied. In order to determine whether ganglion cells are parvalbumin positive, two vertical sections from two preparations (#15415 and #15649) were double labeled with antibodies against parvalbumin and antibodies against RBPMS (Fig. 9G–J). Double-labeled cells were counted between 0- and 6-mm eccentricity. On average, 92% of RBPMS-labeled ganglion cells were also labeled for parvalbumin. This proportion varied between 80% and 100% for individual regions and was not dependent on eccentricity, indicating that a small population of ganglion cells is parvalbumin negative.

Ganglion cell density was determined from five preparations in central retina and two preparations in mid-peripheral and far peripheral retina, using 10 vibratome sections labeled for RBPMS (#13587, #15415, #15649) and three sections labeled for parvalbumin (#13699, #14064). The results are comparable in all preparations, but the peak ganglion cell density varies between individuals (range 28,000–50,000 cells/mm2; Fig. 9K). The average peak density of 34,000 cells/mm2 at 1-mm eccentricity falls at a steep rate within the central 3 mm temporal to the fovea, and then more gradually to 300 cells/mm2 at 12-mm eccentricity (Fig. 9L). Similar results were obtained by Curcio and Allen (1990), who reported a 2-fold variation in ganglion cell density between individuals and added that such individual differences imply a large variation in the total number of ganglion cells serving central vision.

As noted above, we did not observe any clear age-related changes in cell density. For example, preparations from older donors (#15415 and #13699) showed comparable ganglion cell densities to retinas from younger donors (#15469; Fig. 9K). Recent data are inconclusive regarding age-related changes in ganglion cell density, with some reports indicating changes are most pronounced past 60 years of age (Yoshioka et al., 2017), and others suggesting decrease in ganglion cell density occurs gradually from late 30 s onwards (Tong et al., 2019). Our sample size is too small to contribute to this debate. In summary, the ganglion cell density across the human retina determined here from vertical sections is in good agreement with previous studies using whole mount preparations (Curcio and Allen, 1990) and indicates that our bipolar cell measurements fit into a picture which is congruent with estimates of other cell types in human retina.

As outlined above, cone photoreceptors and OFF-midget bipolar cells exist in equal proportions up to 10-mm eccentricity (Fig. 4), indicating that convergence in the midget pathway occurs in the inner retina where multiple midget bipolar cells contact a single midget ganglion cell. Here, we compared the density of cones, OFF-midget bipolar cells and ganglion cells for two individual preparations (Fig. 10A,B) as well as the pooled densities across all preparations (Fig. 10C) from 1- to 10-mm eccentricity. Decline in ganglion cell density from central to peripheral retina is much steeper than that of cones or midget bipolar cells. Across all preparations, ganglion cell density exceeds that of cones between 1- and 2-mm eccentricity. The density of ganglion cells falls below that of cone photoreceptors at 2.3 mm (7.9°) in preparation #13587, 3.3 mm (11.4°) in preparation #14064, and at 2.6 mm (8.9°) when data are pooled from all preparations. These data are consistent with findings in macaque retina which show that the sampling density of ganglion cells decreases beyond 15° (3–4 mm; Wässle et al., 1990). Convergence in foveal retina needs to take the receptoral displacement into account and is discussed separately below.

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 10.

Density of cone photoreceptors, OFF-midget bipolar cells, and ganglion cells. The average densities of cone photoreceptors (blue), OFF-midget bipolar cells (orange), and ganglion cells (pink) are shown on a logarithmic scale from 1- to 10-mm eccentricity for preparations #13587 (A) and #14064 (B), as well as the average across all preparations (n = 6; C).

In addition to parvalbumin positive/RBPMS positive ganglion cells, we found cells in the ganglion cell layer which were parvalbumin positive but RBPMS negative (data not shown). These cells were usually located close to the border with the inner nuclear layer and had relatively small somas. Thus, these cells are presumed to be displaced amacrine cells. The density of parvalbumin positive displaced amacrine cells was quantified for one preparation (#15415) between 0.3- and 6-mm eccentricity. The peak density was 1400 cells/mm2 between 1- and 2-mm eccentricity and fell to 300 cells/mm2 by 6-mm eccentricity.

Receptoral and postreceptoral displacement

As outlined above (Fig. 2), in the center of the fovea, cone photoreceptors are densely packed, and the remaining layers of the retina are displaced away from the center. We determined this lateral displacement (see Materials and Methods) in the same preparations as used to determine bipolar and ganglion cell densities described above. We first measured the receptoral displacement (Henle fiber length), then we measured the postreceptoral displacement between the dendritic contacts of bipolar cells with cones and their axonal terminals (contacts with retinal ganglion cells). We ignored the additional displacement due to the offset of the ganglion cell dendritic tree from the soma (Perry and Cowey, 1988) since this accounts for <1% of total lateral displacement (Sjöstrand et al., 1999).

Figure 11A–C shows that the longest Henle fibers (300–400 µm) are found at cone soma eccentricities between 0.5 and 1 mm temporal. Outside the fovea, Henle fiber length decreased to <100 µm by 2.5 mm with some variation between preparations (Fig. 11C). By ∼6-mm eccentricity, cone photoreceptor somas are vertically aligned with their pedicles (Fig. 2E), and thus there is no receptoral displacement. These results are consistent with previous reports in human (Polyak, 1941; Sjöstrand et al., 1999) and macaque retinas (Perry and Cowey, 1988; Schein, 1988; Bringmann et al., 2018).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 11.

Lateral displacement. A, B, Confocal images of a vertical section through the fovea labeled with antibodies against cone arrestin. Eccentricities are indicated in the lower left corner. C, The lateral distance of the cone pedicle from the soma is plotted as receptoral displacement on the y-axis. The eccentricity of the soma is plotted on the x-axis against the horizontal distance to the cone pedicle. D, Postreceptoral displacement is plotted against eccentricity for three preparations. The displacement was measured from the center of the dendritic bouquet to the center of the axon terminal of calbindin, CD15, and recoverin labeled bipolar cells, respectively. On the x-axis, the distance of the center of the dendritic bouquet from the fovea is plotted as the assumed eccentricity of the cone pedicle. Curves show difference-of-exponentials functions. ONL: outer nuclear layer, HFL: Henle fiber layer, OPL: outer plexiform layer. Scale bar: 50 µm (B, applies to A, B).

Postreceptoral (bipolar cell) displacement was measured at eccentricities ranging from 0.24 to 8.6 mm along the temporal axis from recoverin labeled OFF-midget bipolar (Fig. 3A–D), calbindin-labeled DB3a (Fig. 6A,C) or CD15-labeled DB3b (Fig. 6B,D) cells; all these measurements yielded comparable results. Individual variability is less evident in postreceptoral displacement compared with receptoral displacement (Fig. 11D). The largest displacement occurs between 0.3- and 0.8-mm eccentricity with average magnitude 55 µm and maximum 70 µm (Fig. 11D). From ∼2.5-mm eccentricity, there is no appreciable displacement. Similar values were reported by Sjöstrand et al. (1999) in human retina and by Perry and Cowey (1988) in macaque retina.

The peak total displacement was 389 µm (range ∼300–400 µm) at 0.5 mm from the foveal center. Previous studies of human retina report a total displacement in the range of 370 µm (Sjöstrand et al., 1999) to 526 µm (Drasdo et al., 2007). Drasdo et al. (2007) attribute this interstudy variability to meridional differences, but no such differences were reported in macaque retinas (Perry and Cowey, 1988; Schein, 1988). Alternatively, Drasdo et al. (2007) may have overestimated displacement because of overcorrection for shrinkage and the exclusion of outliers. Overall, the peak total lateral displacement of 389 µm obtained here is consistent with previous studies.

Density variability

It is clear from the foregoing results that there is variation in spatial density (both within and between individuals) for each measured population at any given eccentricity (Figs. 2G–J, 3E, 4F,G, 7, 9K,L). It is therefore natural to question the extent to which conclusions based on six retinas can be applied to a larger population. Our study does not address this question directly, but our small sample can nevertheless provide rough upper and lower bounds to the densities and ratios calculated above. Table 4 compares mean density and SD of each cell population in central (1 mm), mid-peripheral (3 mm), and far peripheral retina (9 mm). In most cases, the coefficient of variation (mean/SD) lies between 20% and 30%, giving a rough estimate of variability expected at population level. For simplicity, we did not attempt a finer-grained analysis of ratios between all measured cell populations.

Table 4.

Spatial density in central and peripheral retina

Parallel pathways in the fovea

We used the density counts of cones, OFF-midget bipolar cells, DB3a, and ganglion cells (Fig. 12A–D, left panel) to determine the cumulative numbers of each cell type (Fig. 12A–D, right panel) within 2-mm eccentricity. We then accounted for receptoral displacement of bipolar cells and total displacement of ganglion cells to calculate cumulative cell numbers within the midget-parvocellular and parasol-magnocellular pathways (Fig. 12A–D, red dotted lines).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 12.

Cumulative density of cells in OFF-midget and OFF-parasol pathways of the retina. A–D, The panels on the left represent pooled average densities for cones, OFF-midget bipolar cells, DB3a bipolar cells, and ganglion cells from 0- to 2-mm eccentricity. The panels on the right show the cumulative counts for each cell population across the same eccentricity range. The red dotted lines represent the cumulative numbers for each cell type adjusted for receptoral (B, C) and total lateral displacement (D). E, Ratio of ganglion cells to cones from 0.5- to 2-mm eccentricity interpolated from data in panels A, D. F, Ratio of ganglion cells to OFF-midget bipolar cells interpolated from data in panels B, D. Circle symbols in E, F show pooled data; diamond and square symbols show individual double-labeled cases.

Midget-parvocellular pathway

The number of cones is 240,000 by 2-mm eccentricity (Fig. 12A), and the number of OFF-midget bipolar cells is 300,000 by 2 mm, taking Henle fiber displacement into account (Fig. 12B). The ratio of cones to OFF-midget bipolar cells is 1:1 at 0.4-mm eccentricity, 1.2:1 at 0.5-mm eccentricity, and 0.8:1 between 0.5- and 2-mm eccentricity. Therefore, after accounting for receptoral displacement due to Henle fibers, the number of OFF-midget bipolar cells in central retina allows for a single OFF-midget bipolar cell for every cone.

Parasol-magnocellular pathway

At 1 mm, the total number of DB3a cells is ∼22,200 (Fig. 12C), and the total number of cones is ∼88,000, which translates to four cones converging onto a single DB3a cell at the fovea. The ratio of cones to DB3a cells is fairly consistent across eccentricities. A similar pattern of convergence for DB3b cells is expected from the tightly matched densities of the two populations (Fig. 7B,D). Previous estimates of convergence of cones to DB3a cells exist only at eccentricities beyond 3 mm, and are in the range of 8–12 cones for each DB3a cell for macaque (Boycott and Wässle, 1991; Grünert et al., 1994; Tsukamoto and Omi, 2015) and marmoset (Luo et al., 1999) retinas. Our results thus show that multiple cone photoreceptors converge onto DB cells in foveal as well as peripheral primate retina.

Ganglion cell sampling density

At 1-mm eccentricity, the total number of ganglion cells is close to 180,000 (Fig. 12D). Figure 12E shows the ratio of ganglion cells to cones from 0.5- to 2-mm eccentricity after accounting for total lateral displacement. The ratio of ganglion cells to cones at 1 mm is 2.2:1. This ratio decreases from 1 mm onwards to a ratio of 1.5:1 by 2 mm, as the sampling density of ganglion cells decreases. Over this eccentricity range the OFF-midget bipolar cells is over half the density of ganglion cells (mean 64.2%; Fig. 12F), consistent with dominance of the midget-parvocellular pathway at the fovea (Dacey, 1993; Liu et al., 2017). If OFF-midget ganglion cells likewise make up 64% of all ganglion cells at the fovea, then the ratio of OFF-midget ganglion cells to OFF-midget bipolar cells would fall below unity (implying convergence of bipolar to ganglion cells) at eccentricities above 1.05 mm (3.6°). These calculations based on the pooled data sample are supported by analysis of three retinas where the relevant populations were measured in the same sections, in double-labeled preparations (case #14064, Fig. 12E,F; case #15415, Fig. 12E; case #13587, Fig. 12F). In each case, the ratio of ganglion cells to cones exceeds 2.2:1 within the central-most 1.5 mm, and midget bipolar cells are present at high density throughout foveal retina. In summary, at the fovea, a ratio of at least 2.2 ganglion cells for every cone allows for one-to-one connectivity of cones to midget ganglion cells, as well as the presence of parasol cells and other widefield cells at low densities.

Comparison to human photopic acuity

Finally, in Figure 13, we compare the resolving power of bipolar and ganglion cell arrays to achromatic grating resolution measured in photopic human vision (Anderson et al., 1991; Wilkinson et al., 2016). Such comparisons require assumptions and must be made with caution but can yield useful insights on the anatomic substrates of human visual performance. We calculated cell array acuity using the formulas described in Materials and Methods. Following Dacey (1993), we assumed that midget ganglion cells make up 95% of all ganglion cells in the central 10°, 85% at 15°, 70% at 20°, and 46% at 30°, and that parasol cells make up 10% of all ganglion cells throughout this eccentricity range. For simplicity, we did not take into account factors such as cell coupling (Vaney, 1994; Shlens et al., 2006) or the small proportion (∼20%) of synaptic input from DB cells to midget ganglion cells (Tsukamoto and Omi, 2015).

The lateral displacement of bipolar and ganglion cells within the macula lutea allow for

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Figure 13.

Comparison of cell array acuity to psychophysically measured photopic spatial acuity. A, Acuity of OFF-midget ganglion cell and OFF-midget bipolar cell arrays compared with two measures of human achromatic grating acuity [Anderson et al., 1991 (diamond symbols); Wilkinson et al., 2016 (triangle symbols)] across the eccentricity range 5–30°. Note the close correspondence of OFF-midget ganglion cell array acuity to the psychophysical measures. B, Comparison with OFF-DB cell (combined DB3a and DB3b) and parasol ganglion cell array acuity with the same psychophysical data. Note that parasol cell array acuity falls well below human acuity at all eccentricities.

Figure 13A shows that acuity of the human OFF-midget ganglion cell array closely follows photopic grating acuity between 5° and 30°. The OFF-midget bipolar array acuity is close to grating acuity at 5°, but is substantially higher at greater eccentricities, and falls less steeply than grating acuity to leave almost a log unit gap between the curves at 30°. In other words, although human grating acuity falls to only 6% of foveal acuity (Snellen fraction) by 30° eccentricity, the midget bipolar array acuity is much higher (close to 30% Snellen fraction). A similar pattern of results is evident for the OFF-parasol pathway (Fig. 13B), with the clear exception that OFF-parasol ganglion cell acuity is well below human grating acuity at all eccentricities. Overall, this result agrees with the studies cited above (Wilkinson et al., 2016; Anderson et al., 1991; see also Merigan and Katz, 1990), indicating that the midget-parvocellular pathway is a more compelling anatomic basis of human photopic acuity than is the parasol-magnocellular pathway. We return to this question in Discussion.

Discussion

Previous studies of human retina have quantified photoreceptors (Curcio et al., 1990) and ganglion cells (Curcio and Allen, 1990), but cone bipolar pathways have remained undescribed. Here, we have four main findings. First, the OFF-midget-bipolar cells in human retina preserve the spatial and chromatic signals from the cone array, transmitting them to the inner plexiform layer from the fovea to at least 30° eccentricity (Figs. 4, 5, 10, 12). Second, OFF-parasol contacting bipolar cells (DB3a, DB3b) are also present throughout the central 30°, at combined density close to one-third that of the midget bipolar array (Figs. 6, 7, 12). Third, ganglion cell and bipolar cell density in the human fovea is consistent with divergence of foveal cone signals to parallel midget and parasol pathways (Fig. 12). Finally, midget bipolar and ganglion cell density in peripheral retina can support the spatial resolution of human photopic vision (Fig. 13). In the following, we discuss these findings in context of other studies of human and non-human primate retina.

The off-midget-parvocellular pathway

The peak density of OFF-midget bipolar cells is 22,000 cells/mm2, which is very close to peak density estimated at 22,300 cells/mm2 in macaque retina (Wässle et al., 1994). We found that cone photoreceptors and OFF-midget bipolar cells are present in a one-to-one ratio to at least 10-mm eccentricity, also as previously shown for macaque retina (Wässle et al., 1994). By contrast, in marmoset monkeys, one-to-one connectivity of cones to midget bipolar cells is restricted to the fovea (Chan et al., 2001; Telkes et al., 2008; Weltzien et al., 2015).

One-to-one connections of cones to bipolar cells implies preservation of the chromatic specificity of the long/medium (L/M) wavelength cone arrays in inner peripheral retina. Some (but not all) electrophysiological studies in macaque retina (Martin et al., 2001; Solomon et al., 2005; Field et al., 2010; Wool et al., 2018) and psychophysical studies in human (Abramov et al., 1991; Mullen and Beaudot, 2002; Mullen et al., 2005) show that chromatic sensitivity is slightly above that predicted by random “hit or miss” connections with L/M cones.

An obvious question arising is whether the same patterns of distribution and connectivity that we see in the OFF-midget pathway are present in the ON-midget pathway. Ahmad and colleagues (2003) report twice as many OFF-DB cells than ON-DB cells in the fovea, but comparable numbers of OFF-midget and ON-midget bipolar cells. In macaque and human, receptive and dendritic fields of ON-parasol cells are larger than that of OFF-parasol cells (Dacey and Petersen, 1992; Chichilnisky and Kalmar, 2002), implying lower densities of ON-parasol than OFF-parasol cells, but whether this difference is reflected in bipolar cell densities needs to be determined.

Off-parasol-magnocellular pathway

The peak density of DB3a cells in human retina ranges between 4000 and 7000 cells/mm2. Similar values were obtained in macaque (Martin and Grünert, 1992) and marmoset retinas (Weltzien et al., 2015). The peak density of DB3b cells ranged from 3000 to 7000 cells/mm2 and thus DB3b cells exist in equal proportions to DB3a cells across human retina (Fig. 7). Comparable densities across species likely reflect consistencies in organization of the parasol-magnocellular pathway across primates (Ghosh et al., 1996; Jacoby et al., 2000; Masri et al., 2016).

We found the numerical convergence of cones to DB cells was close to 4:1, and that the combined density of DB3a and DB3b cells was close to one third that of midget bipolar cells across the retina. These observations are consistent with the functional properties of high sensitivity to contrast and weak chromatic selectivity which characterizes the parasol-magnocellular pathway. The OFF parasol pathway relies in part on a large receptive field (Schiller et al., 1990; Petrusca et al., 2007; Crook et al., 2008) and specializations of DB cell ion channels (Puthussery et al., 2013) to respond to high temporal frequency stimuli, and to detect motion and flicker in visual space.

Foveal sampling density

We measured receptoral displacement at the fovea by directly tracing the Henle fibers in sections through the center of the fovea. A degree of error in this method can arise from tissue distortions and the potential for misidentifying the foveal center (Packer et al., 1989; Curcio et al., 1990). Nonetheless, our results are consistent with previous estimates from Sjöstrand et al. (1999) and recent work by Bringmann et al. (2018) in human retina.

We estimate a ratio of 2.2 ganglion cells per cone in the fovea after accounting for total lateral displacement. Previous estimates in human fovea exist in the range of 1:1 (Missotten, 1974), 2:1 (Curcio and Allen, 1990; Drasdo et al., 2007), and 3–4:1 (Sjöstrand et al., 1999). Midget ganglion cells make up at least 80% of the ganglion cells in human fovea (Rodieck et al., 1985; Dacey, 1993; Yan et al., 2020), and existing evidence supports the presence of one ON-midget and one OFF-midget ganglion cell for every foveal cone (Kolb and DeKorver, 1991). It is assumed that the remaining 10–20% of ganglion cells in the human fovea consists of parasol cells, small bistratified and widefield ganglion cells, as shown for non-human primates (Dacey, 1993; Grünert et al., 1994; Percival et al., 2013; Sinha et al., 2017; Peng et al., 2019). It follows that estimates lower than 2:1 ganglion cells per cone do not allow for the presence of foveal non-midget ganglion cells.

Finally, we note that our estimates of peak cone density at the fovea for two retinas (respectively, 150,667 and 141,935 cells/mm2) correspond to Nyquist frequencies 60.5 and 58.7 cycles/° (cpd), which is close to foveal achromatic acuity values (∼45 cpd) reported by Anderson et al. (1991) and Wilkinson et al. (2016).

Functional roles of P and M pathways

Our anatomic results have some relevance to a debate over the role of midget-parvocellular (P) and parasol-magnocellular (M) pathways in spatial vision, which was ignited over 30 years ago (Shapley and Perry, 1986). The literature on this topic is extensive, and the details have been reviewed elsewhere (Lee et al., 2010). The nub of it lies in discrepancies between anatomy and function of midget ganglion (P) cells. As shown here and elsewhere, the midget-parvocellular pathway in the retina clearly has a much finer spatial grain than does the parasol-magnocellular (M) pathway (Kolb and DeKorver, 1991; Calkins et al., 1994; Boycott and Wässle, 1999). But (1) achromatic contrast sensitivity of individual P cells is much lower than human achromatic contrast sensitivity (for review, see Shapley and Perry, 1986), (2) P and M cells have comparable spatial acuity at low contrast (Hicks et al., 1983; Blakemore and Vital-Durand, 1986), and (3) M cells are a more viable substrate for the (high spatial resolution) luminance channel than are P cells (for review, see Lennie et al., 1993; Lee et al., 2010). Our anatomic results cannot resolve these specific functional questions (or, indeed, the broader question whether the brain uses only one ganglion cell type to achieve high-acuity vision: Schiller et al., 1990; Merigan and Maunsell, 1993), but they bring two new points to bear on the debate. First, our data (Fig. 13) have confirmed psychophysical predictions that parasol cell array acuity is too low to support photopic acuity at any retinal eccentricity (Anderson et al., 1991; Wilkinson et al., 2016). Second, high density of midget bipolar cells in peripheral retina has been suggested as a sign of specialization of the midget pathway for peripheral red/green color vision (Martin and Grünert, 1992; Wässle et al., 1994; Lee et al., 2010). But here we find that the DB3a and DB3b cells which feed parasol cells are present at high density in peripheral retina. This result implies that high density of bipolar cells in peripheral retina is a general feature of retinal wiring rather than something specific to the midget-parvocellular pathway.

Comparison of human and macaque retina

It could be argued that much of what we have found here has been predicted by previous studies of macaque monkey retina. But it is important to remember that human and macaques have had at least 25 million years independent evolution in widely differing environments. Clear precedents of rapid evolutionary changes in retinal populations are evident, for example, on comparison of wild and domestic cat retina (Williams et al., 1993) and wolf and domestic dog retina (Peichl, 1992). In humans, it has been estimated that alleles leading to red-green color vision deficiencies in European populations have increased in prevalence from <2% to over 8% in the past 120 generations (Post, 1982). Here, we have found that, overall, the similarities between human and macaque retina greatly outweigh the differences, supporting the value of macaque monkey as a non-human primate model for normal and abnormal visual function.

Footnotes

  • This work was supported by the National Health and Medical Research Council Project Grant 1123418 (to U.G. and P.R.M.), a Fellowship of the Sydney Medical School Foundation (U.G.), a Research Training Program Scholarship of the Australian Government (R.A.M.), and an Ophthalmology and Vision Science PhD Scholarship by Save Sight Institute (R.A.M.). We thank the Lions NSW Eye Bank at Sydney Eye Hospital for making human donor eyes available. We also thank Arzu Demir, Sammy Lee and Siva Purushothuman for assistance with experiments, and Larry Thibos for helpful comments on the manuscript.

  • The authors declare no competing financial interests.

  • Correspondence should be addressed to Paul R. Martin at prmartin{at}sydney.edu.au

References

What is the function of laterally displacing neurons above the photoreceptors in the fovea?

2) The fovea sits in a pit that the lateral displacement of the ganglion and bipolar cells creates above the photoreceptors. This allows light to strike the photoreceptors without passing through the other layers of retinal cells, minimizing light scatter that can blur the image.

Which receptor type is used for sound waves?

The organ of Corti is on the basilar membrane surface, and it contains hair cells which are the primary receptors in sound signal creation.

Which sensation has a receptor type that is a Chemoreceptor?

Chemoreceptors respond to chemicals in taste and smell and in internal changes. Thermoreceptors respond to temperature changes. Mechanoreceptors respond to physical forces in touch, hearing, and pressure.

What type of sensory receptor responds to changes in light intensity and wavelength?

Photoreceptors react to light, including the receptors in the retinas of the eyes. Thermoreceptors respond to temperature changes.