Images showing the performance of the ISETBio cone mosaic generator compared to the actual data from M3. At top, the model trichromatic photoreceptor mosaic generated by ISETBio (left) and the corresponding model cone density (right) (compare to Fig 1B). At bottom left, a comparison of the median diameter of cones are compared between the model and the M3 data. At bottom middle and bottom right, the cone diameters of the model and measured data from M3 are compared across the horizontal and vertical meridians respectively. (PDF)</p
<p>Each column represents an individual subject’s retina at 1.5 deg temporal eccentricity. The last ...
<p>On the left are embeddings of the dichromatic retinal mosaic: (<b>A</b>) the full embedding; (<b>...
<p>Photoreceptor mosaic images acquired at 1.50 degree superior location and corresponding Voronoi d...
<p>(<b>A</b>) The fraction of cones correctly classified for various combinations of L∶M cone ratio ...
(A) Example cone mosaics simulated by our computational observer model. The highest tested cone dens...
Many algorithms have been proposed to help clinicians evaluate cone density and spacing, as these ma...
<p>(<b>A</b>) 3D embeddings of the correlation matrix of the mosaic from <a href="http://www.plosco...
(A) Classifier accuracy for absorption rates as a function of stimulus contrast for the 4 different ...
To interpret the AOSLO-based STF measurements (Fig 5) in terms of the spatial pooling of cone signal...
Purpose: To evaluate how metrics used to describe the cone mosaic change in response to simulated ph...
PURPOSE: To investigate the influence of various technical factors on the variation of cone packing ...
<p>(A) A cone mosaic image 0.5 mm from the center of the fovea in a normal eye. (B) Cone labeling re...
PURPOSE. To assess reliability and agreement among three metrics used to evaluate the distribution o...
Purpose: To investigate the influence of various technical factors on the variation of cone packing ...
A simple model cone mosaic using hexagonal packing was created in MATLAB for the centermost 2400 con...
<p>Each column represents an individual subject’s retina at 1.5 deg temporal eccentricity. The last ...
<p>On the left are embeddings of the dichromatic retinal mosaic: (<b>A</b>) the full embedding; (<b>...
<p>Photoreceptor mosaic images acquired at 1.50 degree superior location and corresponding Voronoi d...
<p>(<b>A</b>) The fraction of cones correctly classified for various combinations of L∶M cone ratio ...
(A) Example cone mosaics simulated by our computational observer model. The highest tested cone dens...
Many algorithms have been proposed to help clinicians evaluate cone density and spacing, as these ma...
<p>(<b>A</b>) 3D embeddings of the correlation matrix of the mosaic from <a href="http://www.plosco...
(A) Classifier accuracy for absorption rates as a function of stimulus contrast for the 4 different ...
To interpret the AOSLO-based STF measurements (Fig 5) in terms of the spatial pooling of cone signal...
Purpose: To evaluate how metrics used to describe the cone mosaic change in response to simulated ph...
PURPOSE: To investigate the influence of various technical factors on the variation of cone packing ...
<p>(A) A cone mosaic image 0.5 mm from the center of the fovea in a normal eye. (B) Cone labeling re...
PURPOSE. To assess reliability and agreement among three metrics used to evaluate the distribution o...
Purpose: To investigate the influence of various technical factors on the variation of cone packing ...
A simple model cone mosaic using hexagonal packing was created in MATLAB for the centermost 2400 con...
<p>Each column represents an individual subject’s retina at 1.5 deg temporal eccentricity. The last ...
<p>On the left are embeddings of the dichromatic retinal mosaic: (<b>A</b>) the full embedding; (<b>...
<p>Photoreceptor mosaic images acquired at 1.50 degree superior location and corresponding Voronoi d...