Contents and links: 

introduction 

retinal anatomy 

retinal anatomy II 

a neuronal
lens
 

ON-OFF and
center-surround
 
 


Helga's retina
book: 

From inside the US 

From Europe:

 


Ron Douglas:

Vision in deep
sea fish


Contents and links: 

introduction 

retinal anatomy 

retinal anatomy II 

a neuronal
lens
 

ON-OFF and
center-surround
 
 


Helga's retina
book: 

From inside the US 

From Europe:

 


Ron Douglas:

Vision in deep
sea fish


Contents and links: 

introduction 

retinal anatomy 

retinal anatomy II 

a neuronal
lens
 

ON-OFF and
center-surround
 
 


Helga's retina
book: 

From inside the US 

From Europe:

 


Ron Douglas:

Vision in deep
sea fish




 
 

May 9, 1998 
 

In order to get a more complete picture of the changing morphology within the same class of cell, we drew every single cell within several sections. A summary drawing is shown below. 

 
  Summary drawing of the variability encountered  within the same class of retinal biplar cell,  depending on the retinal location. In the central  retina, the cells are numerous and small, whereas  in the periphery, the density decreases by a factor  of about 100, concomittant with an enormous  increase in size of the cell and the dendritic field.  Interestingly, the size of the output location does  not vary with retinal eccentricity 

   (VS: visual streak; D: dorsal; V: ventral)

 
It is quite difficult to obtain exact measurements from vertical sections of the retina, simply because of the fact that with increasing cell size and concurrent decrease in density, chances of missing important pieces of the mosaic increase dramatically. For this reason, we started to look for alternative approaches to get a handle on parameters like size of the dendritic fields (the area in which a neuron collects its input) and to compare the data with the size of the axonal terminals (the site of its output). 

The first approach was to try staining a retina as a whole (retinal wholemount). Unfortunately, this approach, although it resulted in extremely beautiful views of the retinal surface, did not yield the anticipated data. The photoreceptors themselves utilize colored oil droplets as color filters to enhance color vision and these very oil droplets turned out to be a major obstacle to the attempt of viewing the detailed pattern of stained bipolar cell dendritic processes. Thus, the desired structures could, in the best case only partially be detected 
 

Wholemount view of the turtle retina stained with an antibody against serotonin. Some labeled processes are faintly visible between the colored oil droplets of the photoreceptors. Note that because of the fluorescent illumination, the colors of oil droplets are not represented correctly, that is, in reality, the black droplets are red 
 

Another, quite a bit more difficult approach was to take the retina, flatten it and cut it tangentially, not an easy task, considering the fact that the entire layer of neural tissue is only 150 – 200 µm thick. Nevertheless, it is possible and the following pictures show a series of such sections through the different retinal layers. 

Section through the outer nuclear layer, showing the honeycomb pattern of photoreceptors with labeled Landolt's clubs interspersed between them.
 

Sections through the outer nuclear layer, show the mosaic of the photoreceptor cells, visible as a honeycomb pattern of black circles. In  between, the bright yellow dots are sectioned Landolt’s clubs of bipolar cells stained by the immunoreaction against serotonin. Sections like the one shown allowed us to perform a quantitative analysis of the number of photoreceptors in each given retinal area as well as a correlation of the number of stained bipolar cells with the number of photoreceptors. Today, it is almost generally accepted that this number is constant through the entire retina but 15 years ago, when this study was conducted, this finding was quite exciting. The differential distribution of photoreceptors, depending on the retinal topography had been  known for almost 100 years but almost no further data regarding other classes of retinal cell were available at the time, for the simple fact, that no specific markers were available yet. 
In the specific case of the turtle, which has about 100 times more photoreceptors in the visual streak area than in the retinal periphery, this meant that our preliminary assumption about bipolar cells showing a similar density distribution was correct. It is well established that humans as well as other species have a much lower visual acuity in the retinal periphery. If this were not only caused by a lower number of photoreceptors but also reflected in the numbers of all other retinal cells, including bipolar and ganglion cells, one would only have to assume that each ganglion cell occupies the same amount of territory in the brain. In other words, only a few bipolar and ganglion per given area in the periphery as opposed to a 100-fold higher number in the central retinal area would almost suffice to provide the anatomic correlate to the magnification factor established by physiologic methods. 

The question we were interested in, however, was not so much the density distribution of  bipolar cells and photoreceptors but the size of the area in which they receive input (the dendritic field) compared to the size of their output location (axonal ramifications). Another question of interest was, whether the individual fields would overlap, and if they did, to what degree, because that would strongly influence the resolution as well as the quality of the signal transmitted to the inner retina. To use a different paradigm, a strong overlap would cause lower resolution but at the same time provide a much more stable picture owing to transmission of the same bit of information by several independent channels. 

 
Tangential section at the level of the outer plexiform layer which allows to examine the individual dendritic processes in detail.
 

The section following the one shown above turned out to answer most of these questions. In several sections like this, we were able to trace and analyze in detail the processes of the bipolar cells involved in data collection. Upon drawing a substantial number of these dendritic fields, the unambiguous result was that each cells sends it’s processes out until it reaches the center of the neighboring cell’s field marked by the Landolt’s club. As a consequence, each photoreceptor, independent of its retinal location, falls into the dendritic field of 3 bipolar cells belonging to the same class. 
 

On the left, the panel shows an original micrograph of a tangential section though the OPL, the middle panel shows the locations of the Landolt's clubs and the traced dendrites of one cell. The right panel shows the overlapping dendritic fields of three neighboring bipolar cells
 
If one now takes the area covered by the field of each cell and compares it to the total size of the retina, the result is that there is an overlap (called the coverage factor; **) of 300 %. What this also means is that there is a 300 % redundancy or safety factor (or Error Correction Code) built into the system. Actually, it is more than that because three cells look at the same signal from three different angles which offers an additional level of error correction. 
The most exciting finding at the time, however, was that there was now an extremely easy way to determine the dendritic field sizes by simply drawing the perimeter around the nearest neighbor Landolt’s clubs. Using this method, we could confirm that also the signal collection area of bipolar cells grows from about 350 square µm / cell in the central retinal portions to about 40.000 square µm in the periphery. Again, the same size of stimulus reported by only one cell or by more than 100 cells of the same class, depending on which part of the retina it is projected makes a huge difference in the amount of brain space that has to deal with it (assuming that each ganglion cell claims the same size territory in the brain). 
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