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Changes in human short-wavelength-sensitive and achromatic resolution acuity with retinal eccentricity and meridian

Published online by Cambridge University Press:  05 April 2005

RAYMOND O. BEIRNE
Affiliation:
Vision Science Research Group, School of Biomedical Sciences, University of Ulster at Coleraine, Coleraine, Northern Ireland, UK
MARGARITA B. ZLATKOVA
Affiliation:
Vision Science Research Group, School of Biomedical Sciences, University of Ulster at Coleraine, Coleraine, Northern Ireland, UK
ROGER S. ANDERSON
Affiliation:
Vision Science Research Group, School of Biomedical Sciences, University of Ulster at Coleraine, Coleraine, Northern Ireland, UK

Abstract

Psychophysical measurements using achromatic grating resolution acuity in peripheral vision show a prominent retinal asymmetry in acuity which is consistent with predicted values based on available estimates of midget ganglion cell density. Recent studies have shown that peripheral grating resolution acuity values for short-wavelength-sensitive (SWS) isolating gratings in normal observers are closely related to predicted values based on the underlying small bistratified ganglion cell density. By measuring SWS resolution acuity at different locations across the visual field, we wished to see if any significant acuity asymmetry exists for the short-wavelength system. In addition to this, we wanted to compare SWS and achromatic resolution acuity at different retinal locations of equal eccentricity. SWS and achromatic grating resolution acuity was measured in two observers at a number of different retinal meridians of 10- and 25-deg eccentricity from the fovea, and out to 35-deg eccentricity along the horizontal meridian. Achromatic resolution acuity was higher than SWS resolution acuity at all locations. At 10-deg eccentricity there was slight radial asymmetry in SWS and achromatic acuity, both displaying highest acuity along the horizontal meridian. At 25-deg eccentricity, SWS and achromatic acuity showed significant asymmetry with acuity being higher in the nasal retina compared to the temporal retina and with higher acuity in the superior retina compared to the inferior retina. At 35-deg eccentricity, the acuity asymmetry along the horizontal meridian was maintained with acuity for both significantly higher in the nasal retina. The SWS acuity changes with eccentricity and meridian were qualitatively similar to that found for achromatic acuity at the majority of retinal locations. Like achromatic acuity, SWS acuity shows significant asymmetry at different retinal locations of equal eccentricity. This suggests that both the midget and small bistratified ganglion cell population density changes significantly with retinal location and eccentricity. SWS acuity appears to change in parallel with achromatic acuity for the majority of retinal locations measured, although the amount of nasotemporal asymmetry appears to be slightly less for the SWS system at 25- and 35-deg eccentricity.

Type
Research Article
Copyright
© 2005 Cambridge University Press

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References

REFERENCES

Anderson, R.S., Wilkinson, M.O., & Thibos, L.N. (1992). Psychophysical localization of the human visual streak. Optometry and Vision Science 69, 171174.CrossRefGoogle Scholar
Anderson, R.S. (1996a). Aliasing in peripheral vision for counterphase gratings. Journal of the Optical Society of America A 13, 22882293.Google Scholar
Anderson, R.S. (1996b). The selective effect of optical defocus on detection and resolution acuity in peripheral vision. Current Eye Research 15, 351353.Google Scholar
Anderson, R.S., Zlatkova, M.B., & Demirel, S. (2002a). What limits detection and resolution of short-wavelength sinusoidal gratings across the retina. Vision Research 42, 981990.Google Scholar
Anderson, R.S., Zlatkova, M.B., & Beirne, R.O. (2002b). The contrast sensitivity function for detection and resolution of blue-on-yellow gratings in foveal and peripheral vision. Ophthalmic and Physiological Optics 22, 420426.Google Scholar
Anderson, R.S., Coulter, E., Zlatkova, M.B., & Demirel, S. (2003). Short-wavelength acuity: Optical factors affecting detection and resolution of short-wavelength sinusoidal gratings in foveal and peripheral vision. Vision Research 43, 101107.CrossRefGoogle Scholar
Anderson, S.J., Mullen, K.T., & Hess, R.F. (1991). Human peripheral spatial resolution for achromatic and chromatic stimuli: Limits imposed by optical and retinal factors. Journal of Physiology 442, 4764.CrossRefGoogle Scholar
Calkins, D.J. (2001). Seeing with S cones. Progress in Retinal and Eye Research 20, 255287.CrossRefGoogle Scholar
Campbell, F.W. & Green, D.G. (1965). Optical and retinal factors affecting visual resolution. Journal of Physiology 181, 576593.CrossRefGoogle Scholar
Campbell, F.W. & Gubisch, R.W. (1966). Optical quality of the human eye. Journal of Physiology 186, 558578.CrossRefGoogle Scholar
Curcio, C.A. & Allen, K.A. (1990). Topography of ganglion cells in human retina. Journal of Comparative Neurology 300, 525.CrossRefGoogle Scholar
Curcio, C.A., Allen, K.A., Sloan, K.R., Lerea, C.S., Hurley, J.B., Klock, I.B., & Milam, A.H. (1991). Distribution and morphology of human cone photoreceptors stained with anti-blue opsin. Journal of Comparative Neurology 312, 610624.CrossRefGoogle Scholar
Dacey, D.M. (1993a). The mosaic of midget ganglion cells in the human retina. Journal of Neuroscience 13, 53345355.Google Scholar
Dacey, D.M. (1993b). Morphology of a small-field bistratified ganglion cell type in the macaque and human retina. Visual Neuroscience 10, 10811098.Google Scholar
Dacey, D.M. & Lee, B.B. (1994). The “blue-on” opponent pathway in primate retina originates from a distinct bistratified ganglion cell type. Nature 367, 731735.CrossRefGoogle Scholar
Dacey, D.M. & Packer, O.S. (2003). Colour coding in the primate retina: Diverse cell types and cone-specific circuitry. Current Opinion in Neurobiology 13, 421427.CrossRefGoogle Scholar
Dacey, D.M., Peterson, B.B., & Robinson, F.R. (2002). Identification of an S-cone opponent OFF pathway in the macaque monkey retina: morphology, physiology and possible circuitry. Investigative Ophthalmology and Visual Science 43. ARVO E-abstract 2983.Google Scholar
Demirel, S. & Robinson, R. (2003). Upper vs. lower field asymmetry in SAP and SWAP thresholds: comparison to psychophysical estimates of ganglion cell density. Investigative Ophthalmology and Visual Science 44. ARVO E- abstract 69.Google Scholar
DeMonasterio, F.M., McCrane, E.P., Newlander, K.J., & Schein, S.J. (1985). Density profile of blue-sensitive cones along the horizontal meridian of macaque retina. Investigative Ophthalmology and Visual Science 26, 289302.Google Scholar
Drasdo, N. & Fowler, C.W. (1974). Nonlinear projection of the retinal image in a wide-angle schematic eye. British Journal of Ophthalmology 58, 709714.CrossRefGoogle Scholar
Harwerth, R.S., Smith, E.L., & DeSantis, L. (1993). Mechanisms mediating visual detection in static perimetry. Investigative Ophthalmology and Visual Science 34, 30113023.Google Scholar
Johnson, C.A., Adams, A.J., Twelker, J.D., & Quigg, J.M. (1988). Age-related changes in the central visual field for short-wavelength-sensitive pathways. Journal of the Optical Society of America A 5, 21312139.CrossRefGoogle Scholar
Kalloniatis, M. & Harwerth, R.S. (1991). Effects of chromatic adaptation on opponent interactions in monkey increment-threshold spectral-sensitivity functions. Journal of the Optical Society of America A 8, 18181831.CrossRefGoogle Scholar
Liang, J., Williams, D.R., & Miller, D.T. (1997). Supernormal vision and high-resolution retinal imaging through adaptive optics. Journal of the Optical Society of America A 14, 28842892.CrossRefGoogle Scholar
Martin, P.R. & Grunet, U. (1999). Analysis of the short wavelength-sensitive (“blue”) cone mosaic in the primate retina: Comparison of new world and old world monkeys. Journal of Comparative Neurology 406, 114.Google Scholar
Metha, A.B. & Lennie, P. (2001). Transmission of spatial information in S-cone pathways. Visual Neuroscience 18, 961972.CrossRefGoogle Scholar
Mullen, K.T. (1985). The contrast sensitivity of human color vision to red–green and blue–yellow chromatic gratings. Journal of Physiology 359, 381400.CrossRefGoogle Scholar
Mullen, K.T. (1991). Colour vision as a post receptoral specialization of the central visual field. Vision Research 31, 119130.CrossRefGoogle Scholar
Mullen, K.T. & Kingdom, F.A.A. (2002). Differential distributions of red–green and blue–yellow cone opponency across the visual field. Visual Neuroscience 19, 109118.CrossRefGoogle Scholar
Rovamo, J. & Virsu, V. (1979). An estimation and application of the human cortical magnification factor. Experimental Brain Research 37, 495510.Google Scholar
Rovamo, J., Virsu, V., Laurinen, P., & Hyvarinen, L. (1982). Resolution of gratings orientated along and across meridians in peripheral vision. Investigative Ophthalmology and Visual Science 23, 666670.Google Scholar
Sample, P.A., Martinez, G.A., & Yamagishi, N. (1997). Asymmetries in the normal short-wavelength visual field: Implications for short-wavelength automated perimetry. American Journal of Ophthalmology 124, 4652.CrossRefGoogle Scholar
Smith, R.A. & Cass, P.F. (1987). Aliasing in the parafovea with incoherent light. Journal of the Optical Society of America A 4, 15301534.CrossRefGoogle Scholar
Thibos, L.N. (1998). Acuity perimetry and the sampling theory of visual resolution. Optometry and Vision Science 75, 399406.CrossRefGoogle Scholar
Thibos, L.N., Cheney, F.E., & Walsh, D.J. (1987a). Retinal limits to the detection and resolution of gratings. Journal of the Optical Society of America A 4, 15241529.Google Scholar
Thibos, L.N., Walsh, D.J., & Cheney, F.E. (1987b). Vision beyond the resolution limit: Aliasing in the periphery. Vision Research 27, 21932197.Google Scholar
Valberg, A., Lee, B.B., & Tigwell, D.A. (1986). Neurones with strong inhibitory s-cone inputs in the macaque lateral geniculate nucleus. Vision Research 26, 10611064.CrossRefGoogle Scholar
Wang, Y., Thibox, L.N., & Bradley, A. (1997). Effects of refractive error on detection acuity and resolution acuity in peripheral vision. Investigative Ophthalmology and Visual Science 38, 21342143.Google Scholar
Williams, D.R. (1985). Aliasing in human foveal vision. Vision Research 25, 195205.CrossRefGoogle Scholar
Williams, D.R. & Collier, R.J. (1983). Consequences of spatial sampling by a human photoreceptor mosaic. Science 223, 385387.CrossRefGoogle Scholar
Williams, D.R., Artal, P., Navarro, R., McMahon, M.J., & Brainard, D.H. (1996). Off-axis optical quality and retinal sampling in the human eye. Vision Research 36, 11031114.CrossRefGoogle Scholar
Wyszecki, G. & Stiles, W.S. (1982). Color Science (2nd ed.) New York: John Wiley & Sons.
Zlatkova, M.B., Anderson, R.S., & Coulter, E. (2003). Short-wavelength acuity: Blue-yellow and achromatic resolution loss with age. Vision Research 43, 109115.CrossRefGoogle Scholar