Literature DB >> 23276813

A study of factors affecting the human cone photoreceptor density measured by adaptive optics scanning laser ophthalmoscope.

Sung Pyo Park1, Jae Keun Chung, Vivienne Greenstein, Stephen H Tsang, Stanley Chang.   

Abstract

To investigate the variation in human cone photoreceptor packing density with various demographic or clinical factors, cone packing density was measured using a Canon prototype adaptive optics scanning laser ophthalmoscope and compared as a function of retinal eccentricity, refractive error, axial length, age, gender, race/ethnicity and ocular dominance. We enrolled 192 eyes of 192 subjects with no ocular pathology. Cone packing density was measured at three different retinal eccentricities (0.5 mm, 1.0 mm, and 1.5 mm from the foveal center) along four meridians. Cone density decreased from 32,200 to 11,600 cells/mm(2) with retinal eccentricity (0.5 mm to 1.5 mm from the fovea, P < 0.001). A trend towards a slightly negative correlation was observed between age and density (r = -0.117, P = 0.14). There was, however, a statistically significant negative correlation (r = -0.367, P = 0.003) between axial length and cone density. Gender, ocular dominance, and race/ethnicity were not important determinants of cone density (all, P > 0.05). In addition, to assess the spatial arrangement of the cone mosaics, the nearest-neighbor distances (NNDs) and the Voronoi domains were analyzed. The results of NND and Voronoi analysis were significantly correlated with the variation of the cone density. Average NND and Voronoi area were gradually increased (all, P ≤ 0.001) and the degree of regularity of the cone mosaics was decreased (P ≤ 0.001) with increasing retinal eccentricity. In conclusion, we demonstrated cone packing density decreases as a function of retinal eccentricity and axial length and the results of NND and Voronoi analysis is a useful index for cone mosaics arrangements. The results also serve as a reference for further studies designed to detect or monitor cone photoreceptors in patients with retinal diseases.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23276813      PMCID: PMC4388135          DOI: 10.1016/j.exer.2012.12.011

Source DB:  PubMed          Journal:  Exp Eye Res        ISSN: 0014-4835            Impact factor:   3.770


  31 in total

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2.  MEMS-based adaptive optics scanning laser ophthalmoscopy.

Authors:  Yuhua Zhang; Siddharth Poonja; Austin Roorda
Journal:  Opt Lett       Date:  2006-05-01       Impact factor: 3.776

3.  Simultaneous imaging of human cone mosaic with adaptive optics enhanced scanning laser ophthalmoscopy and high-speed transversal scanning optical coherence tomography.

Authors:  M Pircher; R J Zawadzki; J W Evans; J S Werner; C K Hitzenberger
Journal:  Opt Lett       Date:  2008-01-01       Impact factor: 3.776

4.  Retinally stabilized cone-targeted stimulus delivery.

Authors:  David W Arathorn; Qiang Yang; Curtis R Vogel; Yuhua Zhang; Pavan Tiruveedhula; Austin Roorda
Journal:  Opt Express       Date:  2007-10-17       Impact factor: 3.894

5.  A biometric investigation of late onset myopic eyes.

Authors:  N A McBrien; M Millodot
Journal:  Acta Ophthalmol (Copenh)       Date:  1987-08

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Adaptive-optics imaging of human cone photoreceptor distribution.

Authors:  Toco Yuen Chui; Hongxin Song; Stephen A Burns
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-12       Impact factor: 2.129

8.  Human photoreceptor topography.

Authors:  C A Curcio; K R Sloan; R E Kalina; A E Hendrickson
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9.  Individual variations in human cone photoreceptor packing density: variations with refractive error.

Authors:  Toco Yuen Ping Chui; Hongxin Song; Stephen A Burns
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-06-14       Impact factor: 4.799

10.  Adaptive optics retinal imaging reveals S-cone dystrophy in tritan color-vision deficiency.

Authors:  Rigmor C Baraas; Joseph Carroll; Karen L Gunther; Mina Chung; David R Williams; David H Foster; Maureen Neitz
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-05       Impact factor: 2.129

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  43 in total

1.  Assessment of Different Sampling Methods for Measuring and Representing Macular Cone Density Using Flood-Illuminated Adaptive Optics.

Authors:  Shu Feng; Michael J Gale; Jonathan D Fay; Ambar Faridi; Hope E Titus; Anupam K Garg; Keith V Michaels; Laura R Erker; Dawn Peters; Travis B Smith; Mark E Pennesi
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-09       Impact factor: 4.799

2.  The organization of the cone photoreceptor mosaic measured in the living human retina.

Authors:  Lucie Sawides; Alberto de Castro; Stephen A Burns
Journal:  Vision Res       Date:  2016-08-03       Impact factor: 1.886

3.  Variability in Human Cone Topography Assessed by Adaptive Optics Scanning Laser Ophthalmoscopy.

Authors:  Tianjiao Zhang; Pooja Godara; Ernesto R Blanco; Russell L Griffin; Xiaolin Wang; Christine A Curcio; Yuhua Zhang
Journal:  Am J Ophthalmol       Date:  2015-04-30       Impact factor: 5.258

4.  High-resolution adaptive optics retinal imaging of cellular structure in choroideremia.

Authors:  Jessica I W Morgan; Grace Han; Eva Klinman; William M Maguire; Daniel C Chung; Albert M Maguire; Jean Bennett
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-09-04       Impact factor: 4.799

5.  Variations in the cone packing density with eccentricity in emmetropes.

Authors:  S Dabir; S Mangalesh; K A Kumar; M K Kummelil; A Sinha Roy; R Shetty
Journal:  Eye (Lond)       Date:  2014-10-03       Impact factor: 3.775

6.  Methods for investigating the local spatial anisotropy and the preferred orientation of cones in adaptive optics retinal images.

Authors:  Robert F Cooper; Marco Lombardo; Joseph Carroll; Kenneth R Sloan; Giuseppe Lombardo
Journal:  Vis Neurosci       Date:  2016-01       Impact factor: 3.241

7.  Distribution differences of macular cones measured by AOSLO: Variation in slope from fovea to periphery more pronounced than differences in total cones.

Authors:  Ann E Elsner; Toco Y P Chui; Lei Feng; Hong Xin Song; Joel A Papay; Stephen A Burns
Journal:  Vision Res       Date:  2016-11-03       Impact factor: 1.886

8.  Cone photoreceptor abnormalities correlate with vision loss in a case of acute posterior multifocal placoid pigment epitheliopathy.

Authors:  In Hwan Hong; Sung Pyo Park; Ching Lung Chen; Hyoung Kyun Kim; Stephen H Tsang; Stanley Chang
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2014 Jan-Feb       Impact factor: 1.300

9.  Changes in macular ultrastructural morphology in unilateral anisometropic amblyopia.

Authors:  Na Liao; Huilv Jiang; Guangyun Mao; Yiyu Li; Anquan Xue; Yuan Lan; Hao Lin; Qinmei Wang
Journal:  Am J Transl Res       Date:  2019-08-15       Impact factor: 4.060

10.  Correlation between outer retinal layer thickness and cone density in patients with resolved central serous chorioretinopathy.

Authors:  Tomoko Nakamura; Tomoko Ueda-Consolvo; Toshihiko Oiwake; Atsushi Hayashi
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-06-02       Impact factor: 3.117

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