In vivo imaging the photoreceptors in the chicken eye with adaptive optics scanning laser ophthalmoscope

Longitudinal in vivo imaging of cones in the alert chicken

PURPOSE

To demonstrate the feasibility of in vivo measurements of cones and their distributions as a function of normal growth without adaptive optics (AO) and also discuss the potential advantages and disadvantages of AO imaging in the chick, an animal model of myopia.

METHODS

Chicks were obtained on the day of hatching. Axial length and retinoscopy measurements were performed on days 0 and 14. Chicks were imaged on the day of hatching and 14 days later in a custom-built confocal scanning laser ophthalmoscope. Angular densities, linear cone spacings, and cone packing arrangements were determined.

RESULTS

Four subarrays of hexagonally packed cones were identified on both days and, from their angular spacings, appear to correspond to different cone types. There were no significant changes in angular cone density with growth and linear spacings of cones increased with growth. This is true for both overall densities and those of the cone subtypes. There was no change in the percent of hexagonally packed cones with growth.

CONCLUSIONS

Cones can be imaged longitudinally in vivo in the awake chick. The packing arrangement of cones is 40% hexagonally packed. Although AO is not necessary to visualize the cones, including the subarrays of like cones, some closely spaced cones of different types may not be resolved. Most importantly, there is a need to use a larger pupil with growth to maintain the same linear resolution in the larger eye. Novel longitudinal imaging techniques and methods in animal models are shown here to give insights into normal development and, in future, will give insights into visual disorders and diseases, including myopia.

Single cell imaging of the chick retina with adaptive optics

PURPOSE

The chick eye is extensively used as a model in the study of myopia and its progression; however, analysis of the photoreceptor mosaic has required the use of excised retina due to the uncorrected optical aberrations in the lens and cornea. This study implemented high resolution adaptive optics (AO) retinal imaging to visualize the chick cone mosaic in vivo.

METHODS

The New England College of Optometry (NECO) AO fundus camera was modified to allow high resolution in vivo imaging on two 6-week-old White Leghorn chicks (Gallus gallus domesticus)-labeled chick A and chick B. Multiple, adjacent images, each with a 2.5(o) field of view, were taken and subsequently montaged together. This process was repeated at varying retinal locations measured from the tip of the pecten. Automated software was used to determine the cone spacing and density at each location. Voronoi analysis was applied to determine the packing arrangement of the cones.

RESULTS

In both chicks, cone photoreceptors were clearly visible at all retinal locations imaged. Cone densities measured at 36(o) nasal-12(o) superior retina from the pecten tip for chick A and 40(o) nasal-12(o) superior retina for chick B were 21,714 ± 543 and 26,105 ± 653 cones/mm(2) respectively. For chick B, a further 11 locations immediately surrounding the pecten were imaged, with cone densities ranging from 20,980 ± 524 to 25,148 ± 629 cones/mm(2).

CONCLUSION

In vivo analysis of the cone density and its packing characteristics are now possible in the chick eye through AO imaging, which has important implications for future studies of myopia and ocular disease research.

In vivo volumetric imaging of chicken retina with ultrahigh-resolution spectral domain optical coherence tomography

The chicken retina is an established animal model for myopia and light-associated growth studies. It has a unique morphology: it is afoveate and avascular; oxygen and nutrition to the inner retina is delivered by a vascular tissue (pecten) that protrudes into the vitreous. Here we present, to the best of our knowledge, the first in vivo, volumetric high-resolution images of the chicken retina. Images were acquired with an ultrahigh-resolution optical coherence tomography (UHROCT) system with 3.5 µm axial resolution in the retina, at the rate of 47,000 A-scans/s. Spatial variations in the thickness of the nerve fiber and ganglion cell layers were mapped by segmenting and measuring the layer thickness with a semi-automatic segmentation algorithm. Volumetric visualization of the morphology and morphometric analysis of the chicken retina could aid significantly studies with chicken retinal models of ophthalmic diseases.