Abstract

Quantitative analysis of the cone photoreceptor mosaic in the living retina is potentially useful for early diagnosis and prognosis of many ocular diseases. Non-confocal split detector based adaptive optics scanning light ophthalmoscope (AOSLO) imaging reveals the cone photoreceptor inner segment mosaics often not visualized on confocal AOSLO imaging. Despite recent advances in automated cone segmentation algorithms for confocal AOSLO imagery, quantitative analysis of split detector AOSLO images is currently a time-consuming manual process. In this paper, we present the fully automatic adaptive filtering and local detection (AFLD) method for detecting cones in split detector AOSLO images. We validated our algorithm on 80 images from 10 subjects, showing an overall mean Dice’s coefficient of 0.95 (standard deviation 0.03), when comparing our AFLD algorithm to an expert grader. This is comparable to the inter-observer Dice’s coefficient of 0.94 (standard deviation 0.04). To the best of our knowledge, this is the first validated, fully-automated segmentation method which has been applied to split detector AOSLO images.

© 2016 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images

Christos Bergeles, Adam M. Dubis, Benjamin Davidson, Melissa Kasilian, Angelos Kalitzeos, Joseph Carroll, Alfredo Dubra, Michel Michaelides, and Sebastien Ourselin
Biomed. Opt. Express 8(6) 3081-3094 (2017)

Automatic cone photoreceptor segmentation using graph theory and dynamic programming

Stephanie J. Chiu, Yuliya Lokhnygina, Adam M. Dubis, Alfredo Dubra, Joseph Carroll, Joseph A. Izatt, and Sina Farsiu
Biomed. Opt. Express 4(6) 924-937 (2013)

Hessian-LoG filtering for enhancement and detection of photoreceptor cells in adaptive optics retinal images

Anfisa Lazareva, Panos Liatsis, and Franziska G. Rauscher
J. Opt. Soc. Am. A 33(1) 84-94 (2016)

References

  • View by:
  • |
  • |
  • |

  1. A. Roorda and D. R. Williams, “The arrangement of the three cone classes in the living human eye,” Nature 397(6719), 520–522 (1999).
    [Crossref] [PubMed]
  2. A. Roorda, F. Romero-Borja, W. Donnelly Iii, H. Queener, T. Hebert, and M. Campbell, “Adaptive optics scanning laser ophthalmoscopy,” Opt. Express 10(9), 405–412 (2002).
    [Crossref] [PubMed]
  3. R. J. Zawadzki, S. M. Jones, S. S. Olivier, M. Zhao, B. A. Bower, J. A. Izatt, S. Choi, S. Laut, and J. S. Werner, “Adaptive-optics optical coherence tomography for high-resolution and high-speed 3D retinal in vivo imaging,” Opt. Express 13(21), 8532–8546 (2005).
    [Crossref] [PubMed]
  4. D. Merino, C. Dainty, A. Bradu, and A. G. Podoleanu, “Adaptive optics enhanced simultaneous en-face optical coherence tomography and scanning laser ophthalmoscopy,” Opt. Express 14(8), 3345–3353 (2006).
    [Crossref] [PubMed]
  5. C. Torti, B. Považay, B. Hofer, A. Unterhuber, J. Carroll, P. K. Ahnelt, and W. Drexler, “Adaptive optics optical coherence tomography at 120,000 depth scans/s for non-invasive cellular phenotyping of the living human retina,” Opt. Express 17(22), 19382–19400 (2009).
    [Crossref] [PubMed]
  6. R. D. Ferguson, Z. Zhong, D. X. Hammer, M. Mujat, A. H. Patel, C. Deng, W. Zou, and S. A. Burns, “Adaptive optics scanning laser ophthalmoscope with integrated wide-field retinal imaging and tracking,” J. Opt. Soc. Am. A 27(11), A265–A277 (2010).
    [Crossref] [PubMed]
  7. A. Dubra and Y. Sulai, “Reflective afocal broadband adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(6), 1757–1768 (2011).
    [Crossref] [PubMed]
  8. R. S. Jonnal, O. P. Kocaoglu, Q. Wang, S. Lee, and D. T. Miller, “Phase-sensitive imaging of the outer retina using optical coherence tomography and adaptive optics,” Biomed. Opt. Express 3(1), 104–124 (2012).
    [Crossref] [PubMed]
  9. A. Roorda and D. R. Williams, “Optical fiber properties of individual human cones,” J. Vis. 2(5), 404–412 (2002).
    [Crossref] [PubMed]
  10. Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
    [Crossref] [PubMed]
  11. T. Y. Chui, H. Song, and S. A. Burns, “Adaptive-optics imaging of human cone photoreceptor distribution,” J. Opt. Soc. Am. A 25(12), 3021–3029 (2008).
    [Crossref] [PubMed]
  12. A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
    [Crossref] [PubMed]
  13. M. Pircher, J. S. Kroisamer, F. Felberer, H. Sattmann, E. Götzinger, and C. K. Hitzenberger, “Temporal changes of human cone photoreceptors observed in vivo with SLO/OCT,” Biomed. Opt. Express 2(1), 100–112 (2011).
    [Crossref] [PubMed]
  14. O. P. Kocaoglu, S. Lee, R. S. Jonnal, Q. Wang, A. E. Herde, J. C. Derby, W. Gao, and D. T. Miller, “Imaging cone photoreceptors in three dimensions and in time using ultrahigh resolution optical coherence tomography with adaptive optics,” Biomed. Opt. Express 2(4), 748–763 (2011).
    [Crossref] [PubMed]
  15. M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
    [Crossref] [PubMed]
  16. S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
    [Crossref] [PubMed]
  17. J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
    [Crossref] [PubMed]
  18. S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
    [Crossref] [PubMed]
  19. S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
    [Crossref] [PubMed]
  20. D. Merino, J. L. Duncan, P. Tiruveedhula, and A. Roorda, “Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 2(8), 2189–2201 (2011).
    [Crossref] [PubMed]
  21. Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
    [Crossref] [PubMed]
  22. K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
    [Crossref] [PubMed]
  23. A. Roorda and J. L. Duncan, “Adaptive optics ophthalmoscopy,” Annu Rev Vis Sci 1(1), 19–50 (2015).
    [Crossref] [PubMed]
  24. T. Y. P. Chui, D. A. Vannasdale, and S. A. Burns, “The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 3(10), 2537–2549 (2012).
    [Crossref] [PubMed]
  25. D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
    [Crossref] [PubMed]
  26. M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
    [Crossref] [PubMed]
  27. K. Y. Li and A. Roorda, “Automated identification of cone photoreceptors in adaptive optics retinal images,” J. Opt. Soc. Am. A 24(5), 1358–1363 (2007).
    [Crossref] [PubMed]
  28. B. Xue, S. S. Choi, N. Doble, and J. S. Werner, “Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera,” J. Opt. Soc. Am. A 24(5), 1364–1372 (2007).
    [Crossref] [PubMed]
  29. D. H. Wojtas, B. Wu, P. K. Ahnelt, P. J. Bones, and R. P. Millane, “Automated analysis of differential interference contrast microscopy images of the foveal cone mosaic,” J. Opt. Soc. Am. A 25(5), 1181–1189 (2008).
    [Crossref] [PubMed]
  30. A. Turpin, P. Morrow, B. Scotney, R. Anderson, and C. Wolsley, “Automated identification of photoreceptor cones using multi-scale modelling and normalized cross-correlation,” in Image Analysis and Processing – ICIAP 2011, G. Maino and G. Foresti, eds. (Springer Berlin Heidelberg, 2011), pp. 494–503.
  31. K. Loquin, I. Bloch, K. Nakashima, F. Rossant, P.-Y. Boelle, and M. Paques, “Automatic photoreceptor detection in in-vivo adaptive optics retinal images: statistical validation,” in Image Analysis and Recognition, A. Campilho and M. Kamel, eds. (Springer Berlin Heidelberg, 2012), pp. 408–415.
  32. X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
    [Crossref]
  33. R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
    [Crossref] [PubMed]
  34. F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
    [Crossref]
  35. S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
    [Crossref] [PubMed]
  36. L. Mariotti and N. Devaney, “Performance analysis of cone detection algorithms,” J. Opt. Soc. Am. A 32(4), 497–506 (2015).
    [Crossref] [PubMed]
  37. D. M. Bukowska, A. L. Chew, E. Huynh, I. Kashani, S. L. Wan, P. M. Wan, and F. K. Chen, “Semi-automated identification of cones in the human retina using circle Hough transform,” Biomed. Opt. Express 6(12), 4676–4693 (2015).
    [Crossref] [PubMed]
  38. J. I. Yellott., “Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing,” Vision Res. 22(9), 1205–1210 (1982).
    [Crossref] [PubMed]
  39. J. I. Yellott., “Spectral consequences of photoreceptor sampling in the rhesus retina,” Science 221(4608), 382–385 (1983).
    [Crossref] [PubMed]
  40. N. J. Coletta and D. R. Williams, “Psychophysical estimate of extrafoveal cone spacing,” J. Opt. Soc. Am. A 4(8), 1503–1513 (1987).
    [Crossref] [PubMed]
  41. A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
    [Crossref] [PubMed]
  42. R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
    [Crossref] [PubMed]
  43. C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
    [Crossref] [PubMed]
  44. C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
    [Crossref]
  45. L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology 26(3), 297–302 (1945).
    [Crossref]
  46. T. Sørensen, “A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons,” Biol. Skr. 5, 1–34 (1948).
  47. J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 327(8476), 307–310 (1986).
    [Crossref] [PubMed]
  48. S. J. Chiu, M. J. Allingham, P. S. Mettu, S. W. Cousins, J. A. Izatt, and S. Farsiu, “Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema,” Biomed. Opt. Express 6(4), 1172–1194 (2015).
    [Crossref] [PubMed]
  49. S. J. Chiu, X. T. Li, P. Nicholas, C. A. Toth, J. A. Izatt, and S. Farsiu, “Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation,” Opt. Express 18(18), 19413–19428 (2010).
    [Crossref] [PubMed]
  50. S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
    [Crossref] [PubMed]

2016 (1)

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

2015 (4)

2014 (2)

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
[Crossref] [PubMed]

2013 (2)

S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
[Crossref] [PubMed]

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

2012 (6)

S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
[Crossref] [PubMed]

X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
[Crossref]

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

T. Y. P. Chui, D. A. Vannasdale, and S. A. Burns, “The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 3(10), 2537–2549 (2012).
[Crossref] [PubMed]

R. S. Jonnal, O. P. Kocaoglu, Q. Wang, S. Lee, and D. T. Miller, “Phase-sensitive imaging of the outer retina using optical coherence tomography and adaptive optics,” Biomed. Opt. Express 3(1), 104–124 (2012).
[Crossref] [PubMed]

2011 (6)

A. Dubra and Y. Sulai, “Reflective afocal broadband adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(6), 1757–1768 (2011).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

M. Pircher, J. S. Kroisamer, F. Felberer, H. Sattmann, E. Götzinger, and C. K. Hitzenberger, “Temporal changes of human cone photoreceptors observed in vivo with SLO/OCT,” Biomed. Opt. Express 2(1), 100–112 (2011).
[Crossref] [PubMed]

O. P. Kocaoglu, S. Lee, R. S. Jonnal, Q. Wang, A. E. Herde, J. C. Derby, W. Gao, and D. T. Miller, “Imaging cone photoreceptors in three dimensions and in time using ultrahigh resolution optical coherence tomography with adaptive optics,” Biomed. Opt. Express 2(4), 748–763 (2011).
[Crossref] [PubMed]

D. Merino, J. L. Duncan, P. Tiruveedhula, and A. Roorda, “Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 2(8), 2189–2201 (2011).
[Crossref] [PubMed]

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

2010 (3)

2009 (1)

2008 (3)

2007 (4)

K. Y. Li and A. Roorda, “Automated identification of cone photoreceptors in adaptive optics retinal images,” J. Opt. Soc. Am. A 24(5), 1358–1363 (2007).
[Crossref] [PubMed]

B. Xue, S. S. Choi, N. Doble, and J. S. Werner, “Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera,” J. Opt. Soc. Am. A 24(5), 1364–1372 (2007).
[Crossref] [PubMed]

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

2006 (2)

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

D. Merino, C. Dainty, A. Bradu, and A. G. Podoleanu, “Adaptive optics enhanced simultaneous en-face optical coherence tomography and scanning laser ophthalmoscopy,” Opt. Express 14(8), 3345–3353 (2006).
[Crossref] [PubMed]

2005 (1)

2002 (2)

1999 (1)

A. Roorda and D. R. Williams, “The arrangement of the three cone classes in the living human eye,” Nature 397(6719), 520–522 (1999).
[Crossref] [PubMed]

1996 (1)

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
[Crossref]

1994 (1)

A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
[Crossref] [PubMed]

1990 (1)

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

1987 (1)

1986 (1)

J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 327(8476), 307–310 (1986).
[Crossref] [PubMed]

1983 (1)

J. I. Yellott., “Spectral consequences of photoreceptor sampling in the rhesus retina,” Science 221(4608), 382–385 (1983).
[Crossref] [PubMed]

1982 (1)

J. I. Yellott., “Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing,” Vision Res. 22(9), 1205–1210 (1982).
[Crossref] [PubMed]

1948 (1)

T. Sørensen, “A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons,” Biol. Skr. 5, 1–34 (1948).

1945 (1)

L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology 26(3), 297–302 (1945).
[Crossref]

Abozaid, M. A.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

Ahnelt, P. K.

Allingham, M. J.

Altman, D. G.

J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 327(8476), 307–310 (1986).
[Crossref] [PubMed]

Ansari, R.

F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
[Crossref]

Barber, C. B.

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
[Crossref]

Bennett, A. G.

A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
[Crossref] [PubMed]

Bessho, K.

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Bland, J. M.

J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 327(8476), 307–310 (1986).
[Crossref] [PubMed]

Bones, P. J.

Bower, B. A.

Bradu, A.

Branham, K. E. H.

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Bukowska, D. M.

Burns, S. A.

Campbell, M.

Carroll, J.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
[Crossref] [PubMed]

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

C. Torti, B. Považay, B. Hofer, A. Unterhuber, J. Carroll, P. K. Ahnelt, and W. Drexler, “Adaptive optics optical coherence tomography at 120,000 depth scans/s for non-invasive cellular phenotyping of the living human retina,” Opt. Express 17(22), 19382–19400 (2009).
[Crossref] [PubMed]

Chen, F. K.

Chew, A. L.

Chiu, S. J.

Choi, S.

Choi, S. S.

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

B. Xue, S. S. Choi, N. Doble, and J. S. Werner, “Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera,” J. Opt. Soc. Am. A 24(5), 1364–1372 (2007).
[Crossref] [PubMed]

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

Chui, T. Y.

Chui, T. Y. P.

Coletta, N. J.

Cooper, R. F.

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

Cousins, S. W.

Curcio, C. A.

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

Dainty, C.

Deng, C.

Derby, J. C.

Devaney, N.

Dice, L. R.

L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology 26(3), 297–302 (1945).
[Crossref]

Dobkin, D. P.

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
[Crossref]

Doble, N.

B. Xue, S. S. Choi, N. Doble, and J. S. Werner, “Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera,” J. Opt. Soc. Am. A 24(5), 1364–1372 (2007).
[Crossref] [PubMed]

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

Donnelly Iii, W.

Drexler, W.

Dubis, A. M.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
[Crossref] [PubMed]

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

Dubra, A.

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
[Crossref] [PubMed]

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

A. Dubra and Y. Sulai, “Reflective afocal broadband adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(6), 1757–1768 (2011).
[Crossref] [PubMed]

Duncan, J. L.

A. Roorda and J. L. Duncan, “Adaptive optics ophthalmoscopy,” Annu Rev Vis Sci 1(1), 19–50 (2015).
[Crossref] [PubMed]

D. Merino, J. L. Duncan, P. Tiruveedhula, and A. Roorda, “Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 2(8), 2189–2201 (2011).
[Crossref] [PubMed]

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Edgar, D. F.

A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
[Crossref] [PubMed]

Farsiu, S.

Felberer, F.

Ferguson, R. D.

Fishman, G. A.

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

Fujikado, T.

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Gandhi, J.

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Gao, W.

Garrioch, R.

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

Götzinger, E.

Greiner, M. A.

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

Hammer, D. X.

Hangai, M.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Hardy, J. L.

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

Hebert, T.

Hendrickson, A. E.

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

Herde, A. E.

Hitzenberger, C. K.

Hofer, B.

Huhdanpaa, H.

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
[Crossref]

Huynh, E.

Inoue, T.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Izatt, J. A.

Jones, S. M.

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

R. J. Zawadzki, S. M. Jones, S. S. Olivier, M. Zhao, B. A. Bower, J. A. Izatt, S. Choi, S. Laut, and J. S. Werner, “Adaptive-optics optical coherence tomography for high-resolution and high-speed 3D retinal in vivo imaging,” Opt. Express 13(21), 8532–8546 (2005).
[Crossref] [PubMed]

Jonnal, R. S.

Kalina, R. E.

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

Kashani, I.

Keltner, J. L.

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

Kitaguchi, Y.

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Kocaoglu, O. P.

Kroisamer, J. S.

Kusaka, S.

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Langlo, C.

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

Langlo, C. S.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

Laut, S.

Lee, S.

Li, K. Y.

Li, X. T.

Liu, X.

X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
[Crossref]

Lokhnygina, Y.

Lombardo, G.

M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
[Crossref] [PubMed]

Lombardo, M.

M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
[Crossref] [PubMed]

Mariotti, L.

Martinez, W. M.

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

Merino, D.

Mettu, P. S.

Michaelides, M.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

Mihashi, T.

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Millane, R. P.

Miller, D. T.

Mohammad, F.

F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
[Crossref]

Mujat, M.

Mukai, H.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Nakanishi, C.

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Nakazawa, N.

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Nicholas, P.

Norris, J. L.

O’Connell, R. V.

S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
[Crossref] [PubMed]

Ojima, Y.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Olivier, S. S.

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

R. J. Zawadzki, S. M. Jones, S. S. Olivier, M. Zhao, B. A. Bower, J. A. Izatt, S. Choi, S. Laut, and J. S. Werner, “Adaptive-optics optical coherence tomography for high-resolution and high-speed 3D retinal in vivo imaging,” Opt. Express 13(21), 8532–8546 (2005).
[Crossref] [PubMed]

Ooto, S.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Oshima, S.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Othman, M.

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Patel, A. H.

Pircher, M.

Podoleanu, A. G.

Považay, B.

Queener, H.

Romero-Borja, F.

Roorda, A.

A. Roorda and J. L. Duncan, “Adaptive optics ophthalmoscopy,” Annu Rev Vis Sci 1(1), 19–50 (2015).
[Crossref] [PubMed]

D. Merino, J. L. Duncan, P. Tiruveedhula, and A. Roorda, “Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 2(8), 2189–2201 (2011).
[Crossref] [PubMed]

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

K. Y. Li and A. Roorda, “Automated identification of cone photoreceptors in adaptive optics retinal images,” J. Opt. Soc. Am. A 24(5), 1358–1363 (2007).
[Crossref] [PubMed]

A. Roorda, F. Romero-Borja, W. Donnelly Iii, H. Queener, T. Hebert, and M. Campbell, “Adaptive optics scanning laser ophthalmoscopy,” Opt. Express 10(9), 405–412 (2002).
[Crossref] [PubMed]

A. Roorda and D. R. Williams, “Optical fiber properties of individual human cones,” J. Vis. 2(5), 404–412 (2002).
[Crossref] [PubMed]

A. Roorda and D. R. Williams, “The arrangement of the three cone classes in the living human eye,” Nature 397(6719), 520–522 (1999).
[Crossref] [PubMed]

Rudnicka, A. R.

A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
[Crossref] [PubMed]

Sakamoto, A.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Sattmann, H.

Scoles, D.

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

Serrao, S.

M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
[Crossref] [PubMed]

Shahidi, M.

F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
[Crossref]

Sloan, K. R.

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

Song, H.

Sørensen, T.

T. Sørensen, “A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons,” Biol. Skr. 5, 1–34 (1948).

Stepien, K. E.

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

Sulai, Y.

Sulai, Y. N.

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

Swaroop, A.

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Tarima, S.

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

Tiruveedhula, P.

Torti, C.

Toth, C. A.

S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
[Crossref] [PubMed]

S. J. Chiu, X. T. Li, P. Nicholas, C. A. Toth, J. A. Izatt, and S. Farsiu, “Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation,” Opt. Express 18(18), 19413–19428 (2010).
[Crossref] [PubMed]

Tsujikawa, A.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Unterhuber, A.

Vannasdale, D. A.

Wan, P. M.

Wan, S. L.

Wanek, J.

F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
[Crossref]

Wang, Q.

Werner, J. S.

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

B. Xue, S. S. Choi, N. Doble, and J. S. Werner, “Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera,” J. Opt. Soc. Am. A 24(5), 1364–1372 (2007).
[Crossref] [PubMed]

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

R. J. Zawadzki, S. M. Jones, S. S. Olivier, M. Zhao, B. A. Bower, J. A. Izatt, S. Choi, S. Laut, and J. S. Werner, “Adaptive-optics optical coherence tomography for high-resolution and high-speed 3D retinal in vivo imaging,” Opt. Express 13(21), 8532–8546 (2005).
[Crossref] [PubMed]

Williams, D. R.

Winter, K. P.

S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
[Crossref] [PubMed]

Wojtas, D. H.

Wu, B.

Xue, B.

Yamada, Y.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Yamaguchi, T.

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Yamashiro, K.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Yellott, J. I.

J. I. Yellott., “Spectral consequences of photoreceptor sampling in the rhesus retina,” Science 221(4608), 382–385 (1983).
[Crossref] [PubMed]

J. I. Yellott., “Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing,” Vision Res. 22(9), 1205–1210 (1982).
[Crossref] [PubMed]

Yoshimura, N.

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Yun, D.

X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
[Crossref]

Zawadzki, R. J.

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

R. J. Zawadzki, S. M. Jones, S. S. Olivier, M. Zhao, B. A. Bower, J. A. Izatt, S. Choi, S. Laut, and J. S. Werner, “Adaptive-optics optical coherence tomography for high-resolution and high-speed 3D retinal in vivo imaging,” Opt. Express 13(21), 8532–8546 (2005).
[Crossref] [PubMed]

Zhang, Y.

X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
[Crossref]

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

Zhao, M.

Zhong, Z.

Zou, W.

ACM Trans. Math. Softw. (1)

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, “The quickhull algorithm for convex hulls,” ACM Trans. Math. Softw. 22(4), 469–483 (1996).
[Crossref]

Adv. Exp. Med. Biol. (1)

M. A. Abozaid, C. S. Langlo, A. M. Dubis, M. Michaelides, S. Tarima, and J. Carroll, “Reliability and repeatability of cone density measurements in patients with congenital achromatopsia,” Adv. Exp. Med. Biol. 854, 277–283 (2016).
[Crossref] [PubMed]

Annu Rev Vis Sci (1)

A. Roorda and J. L. Duncan, “Adaptive optics ophthalmoscopy,” Annu Rev Vis Sci 1(1), 19–50 (2015).
[Crossref] [PubMed]

Arch. Ophthalmol. (1)

K. E. Stepien, W. M. Martinez, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Subclinical photoreceptor disruption in response to severe head trauma,” Arch. Ophthalmol. 130(3), 400–402 (2012).
[Crossref] [PubMed]

Biol. Skr. (1)

T. Sørensen, “A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons,” Biol. Skr. 5, 1–34 (1948).

Biomed. Opt. Express (10)

S. J. Chiu, M. J. Allingham, P. S. Mettu, S. W. Cousins, J. A. Izatt, and S. Farsiu, “Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema,” Biomed. Opt. Express 6(4), 1172–1194 (2015).
[Crossref] [PubMed]

D. M. Bukowska, A. L. Chew, E. Huynh, I. Kashani, S. L. Wan, P. M. Wan, and F. K. Chen, “Semi-automated identification of cones in the human retina using circle Hough transform,” Biomed. Opt. Express 6(12), 4676–4693 (2015).
[Crossref] [PubMed]

T. Y. P. Chui, D. A. Vannasdale, and S. A. Burns, “The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 3(10), 2537–2549 (2012).
[Crossref] [PubMed]

S. J. Chiu, Y. Lokhnygina, A. M. Dubis, A. Dubra, J. Carroll, J. A. Izatt, and S. Farsiu, “Automatic cone photoreceptor segmentation using graph theory and dynamic programming,” Biomed. Opt. Express 4(6), 924–937 (2013).
[Crossref] [PubMed]

D. Merino, J. L. Duncan, P. Tiruveedhula, and A. Roorda, “Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope,” Biomed. Opt. Express 2(8), 2189–2201 (2011).
[Crossref] [PubMed]

A. Dubra and Y. Sulai, “Reflective afocal broadband adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(6), 1757–1768 (2011).
[Crossref] [PubMed]

R. S. Jonnal, O. P. Kocaoglu, Q. Wang, S. Lee, and D. T. Miller, “Phase-sensitive imaging of the outer retina using optical coherence tomography and adaptive optics,” Biomed. Opt. Express 3(1), 104–124 (2012).
[Crossref] [PubMed]

A. Dubra, Y. Sulai, J. L. Norris, R. F. Cooper, A. M. Dubis, D. R. Williams, and J. Carroll, “Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope,” Biomed. Opt. Express 2(7), 1864–1876 (2011).
[Crossref] [PubMed]

M. Pircher, J. S. Kroisamer, F. Felberer, H. Sattmann, E. Götzinger, and C. K. Hitzenberger, “Temporal changes of human cone photoreceptors observed in vivo with SLO/OCT,” Biomed. Opt. Express 2(1), 100–112 (2011).
[Crossref] [PubMed]

O. P. Kocaoglu, S. Lee, R. S. Jonnal, Q. Wang, A. E. Herde, J. C. Derby, W. Gao, and D. T. Miller, “Imaging cone photoreceptors in three dimensions and in time using ultrahigh resolution optical coherence tomography with adaptive optics,” Biomed. Opt. Express 2(4), 748–763 (2011).
[Crossref] [PubMed]

Clin. Ophthalmol. (1)

Y. Kitaguchi, S. Kusaka, T. Yamaguchi, T. Mihashi, and T. Fujikado, “Detection of photoreceptor disruption by adaptive optics fundus imaging and Fourier-domain optical coherence tomography in eyes with occult macular dystrophy,” Clin. Ophthalmol. 5, 345–351 (2011).
[Crossref] [PubMed]

Ecology (1)

L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology 26(3), 297–302 (1945).
[Crossref]

Graefes Arch. Clin. Exp. Ophthalmol. (1)

A. G. Bennett, A. R. Rudnicka, and D. F. Edgar, “Improvements on Littmann’s method of determining the size of retinal features by fundus photography,” Graefes Arch. Clin. Exp. Ophthalmol. 232(6), 361–367 (1994).
[Crossref] [PubMed]

Invest. Ophthalmol. Vis. Sci. (4)

S. J. Chiu, J. A. Izatt, R. V. O’Connell, K. P. Winter, C. A. Toth, and S. Farsiu, “Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images,” Invest. Ophthalmol. Vis. Sci. 53(1), 53–61 (2012).
[Crossref] [PubMed]

D. Scoles, Y. N. Sulai, C. S. Langlo, G. A. Fishman, C. A. Curcio, J. Carroll, and A. Dubra, “In vivo imaging of human cone photoreceptor inner segments,” Invest. Ophthalmol. Vis. Sci. 55(7), 4244–4251 (2014).
[Crossref] [PubMed]

S. S. Choi, N. Doble, J. L. Hardy, S. M. Jones, J. L. Keltner, S. S. Olivier, and J. S. Werner, “In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function,” Invest. Ophthalmol. Vis. Sci. 47(5), 2080–2092 (2006).
[Crossref] [PubMed]

J. L. Duncan, Y. Zhang, J. Gandhi, C. Nakanishi, M. Othman, K. E. H. Branham, A. Swaroop, and A. Roorda, “High-resolution imaging with adaptive optics in patients with inherited retinal degeneration,” Invest. Ophthalmol. Vis. Sci. 48(7), 3283–3291 (2007).
[Crossref] [PubMed]

J. Comp. Neurol. (1)

C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, “Human photoreceptor topography,” J. Comp. Neurol. 292(4), 497–523 (1990).
[Crossref] [PubMed]

J. Neuroophthalmol. (1)

S. S. Choi, R. J. Zawadzki, M. A. Greiner, J. S. Werner, and J. L. Keltner, “Fourier-domain optical coherence tomography and adaptive optics reveal nerve fiber layer loss and photoreceptor changes in a patient with optic nerve drusen,” J. Neuroophthalmol. 28(2), 120–125 (2008).
[Crossref] [PubMed]

J. Opt. Soc. Am. A (7)

J. Vis. (1)

A. Roorda and D. R. Williams, “Optical fiber properties of individual human cones,” J. Vis. 2(5), 404–412 (2002).
[Crossref] [PubMed]

Jpn. J. Ophthalmol. (1)

Y. Kitaguchi, K. Bessho, T. Yamaguchi, N. Nakazawa, T. Mihashi, and T. Fujikado, “In vivo measurements of cone photoreceptor spacing in myopic eyes from images obtained by an adaptive optics fundus camera,” Jpn. J. Ophthalmol. 51(6), 456–461 (2007).
[Crossref] [PubMed]

Lancet (1)

J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” Lancet 327(8476), 307–310 (1986).
[Crossref] [PubMed]

Nature (1)

A. Roorda and D. R. Williams, “The arrangement of the three cone classes in the living human eye,” Nature 397(6719), 520–522 (1999).
[Crossref] [PubMed]

Ophthalmic Physiol. Opt. (1)

R. F. Cooper, C. S. Langlo, A. Dubra, and J. Carroll, “Automatic detection of modal spacing (Yellott’s ring) in adaptive optics scanning light ophthalmoscope images,” Ophthalmic Physiol. Opt. 33(4), 540–549 (2013).
[Crossref] [PubMed]

Ophthalmology (1)

S. Ooto, M. Hangai, A. Sakamoto, A. Tsujikawa, K. Yamashiro, Y. Ojima, Y. Yamada, H. Mukai, S. Oshima, T. Inoue, and N. Yoshimura, “High-resolution imaging of resolved central serous chorioretinopathy using adaptive optics scanning laser ophthalmoscopy,” Ophthalmology 117(9), 1800–1809 (2010).
[Crossref] [PubMed]

Opt. Express (5)

Optom. Vis. Sci. (1)

R. Garrioch, C. Langlo, A. M. Dubis, R. F. Cooper, A. Dubra, and J. Carroll, “Repeatability of in vivo parafoveal cone density and spacing measurements,” Optom. Vis. Sci. 89(5), 632–643 (2012).
[Crossref] [PubMed]

PLoS One (1)

M. Lombardo, S. Serrao, and G. Lombardo, “Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images,” PLoS One 9(9), e107402 (2014).
[Crossref] [PubMed]

Proc. SPIE (1)

X. Liu, Y. Zhang, and D. Yun, “An automated algorithm for photoreceptors counting in adaptive optics retinal images,” Proc. SPIE 8419, 84191Z (2012).
[Crossref]

Science (1)

J. I. Yellott., “Spectral consequences of photoreceptor sampling in the rhesus retina,” Science 221(4608), 382–385 (1983).
[Crossref] [PubMed]

Vision Res. (1)

J. I. Yellott., “Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing,” Vision Res. 22(9), 1205–1210 (1982).
[Crossref] [PubMed]

Other (3)

F. Mohammad, R. Ansari, J. Wanek, and M. Shahidi, “Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification,” in Proceedings of IEEE International Conference on Image Processing (IEEE, 2012), pp. 2325–2328.
[Crossref]

A. Turpin, P. Morrow, B. Scotney, R. Anderson, and C. Wolsley, “Automated identification of photoreceptor cones using multi-scale modelling and normalized cross-correlation,” in Image Analysis and Processing – ICIAP 2011, G. Maino and G. Foresti, eds. (Springer Berlin Heidelberg, 2011), pp. 494–503.

K. Loquin, I. Bloch, K. Nakashima, F. Rossant, P.-Y. Boelle, and M. Paques, “Automatic photoreceptor detection in in-vivo adaptive optics retinal images: statistical validation,” in Image Analysis and Recognition, A. Campilho and M. Kamel, eds. (Springer Berlin Heidelberg, 2012), pp. 408–415.

Cited By

OSA participates in Crossref's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (9)

Fig. 1
Fig. 1

Comparison of peripheral rod and cone visualization in confocal and split detector AOSLO imaging in a normal subject (a) Confocal AOSLO image at 10° from the fovea shows rod and cone structures, but it is challenging to confidently differentiate a cluster of rods from a single cone with a complex waveguide signal. (b) Split detector image from the same location better visualizes cones but is incapable of visualizing rods. Circle indicates a cone, which is clearly visible in split detector AOSLO but appears as a collection of rod-like structures in confocal AOSLO. Scale bar: 20 μm.

Fig. 2
Fig. 2

Schematic for AFLD split detector AOSLO cone detection algorithm.

Fig. 3
Fig. 3

Adaptive filtering of split detector AOSLO cone images. (a) Original Image. (b) Discrete Fourier transform of (a) log10 compressed. Red arrow points to Yellott’s ring. (c) Average radial cross section of (b) over 9 sections after filtering in black. Fitted curve in red. (d) Result of subtracting fitted red curve from the black curve in (c). Peak corresponding to cones shown in blue. (e) Upper fourth of peak from (d). (f) Band pass filter in Fourier domain. (g) Filtered original image. (h) Information removed from (a) by filtering.

Fig. 4
Fig. 4

Detection of cones in band pass filtered image from Fig. 3. (a) Original image (b) Filtered image, same as Fig. 3(g), with local minima marked in red and maxima in green. (c) Matched pairs of minima and maxima. (d) Final detection results on original image from (a). Cones found using matched pairs are shown in green and the cone found using maximum value only is shown in red.

Fig. 5
Fig. 5

AFLD cone detection in images of different cone spacing and image quality. Original images are shown in the top row and images with automatically detected cones marked in green are shown in the bottom row. Images have increasing cone density from left to right. The cone density is 8,947 cones/mm2 in (a), 14,206 cones/mm2 in (b), and 34,063 cones/mm2 in (c) as determined by the first manual marking. Dice’s coefficients are 0.9843 for (a), 0.9774 for (b), and 0.9243 for (c).

Fig. 6
Fig. 6

Comparison of AFLD marking to the first manual marking on images with varying quality and cone contrast. Original images are shown in the top row. AFLD and manual markings are shown in the bottom row with markings as follows: green (automatic) and yellow (manual) denotes a match; cyan denotes a false negative; and red denotes a false positive. Dice’s coefficients are 0.9957 for (a), 0.9461 for (b), and 0.9123 for (c). Dice’s coefficients are approximately one standard deviation above, at, and one standard deviation below the mean value for the validation set.

Fig. 7
Fig. 7

Scatter plots of cone density measures for (a) grader #1 vs. AFLD, (b) grader #2 vs. AFLD, (c) average of both graders vs. AFLD, and (d) grader #1 vs. grader #2. In each plot, the solid black line shows the regression line, with the corresponding equation, coefficient of determination (R2), and p value shown in the upper left corner. Dotted lines are 95% confidence intervals.

Fig. 8
Fig. 8

Bland-Altman plots of cone density for (a) grader #1 - AFLD, (b) grader #2 - AFLD, (c) average of both graders - AFLD, and (d) grader #1 - grader #2. The solid black line shows the mean difference, and the dotted lines show the 95% confidence limits of agreement.

Fig. 9
Fig. 9

AFLD cone detection in split detector images of four subjects with photoreceptor pathology. Original images are shown in the left column, and images with automatically detected cones marked in green are shown in the right column. Subject pathologies are (a-b) oculocutaneous albinism and (c-d) achromatopsia.

Tables (2)

Tables Icon

Table 1 Performance of AFLD and second manual marking with respect to the first manual marking across the validation data set (standard deviations shown in parenthesis).

Tables Icon

Table 2 Performance of AFLD and first manual marking with respect to the second manual marking across the validation data set (standard deviations shown in parenthesis), where (*: p<0.05, ***: p<0.001).

Equations (6)

Equations on this page are rendered with MathJax. Learn more.

T={ 0.875σ, if f C <0.065 pixels 1 0.7σ, if0.065 f C <0.075 pixels 1 0.525σ, if0.075 f C pixels 1 ,
N AutomaticCones = N TruePositive + N FalsePositive ,
N ManualCones = N TruePositive + N FalseNegative .
true positive rate= N TruePositive / N ManualCones ,
false discovery rate= N FalsePositive / N AutomaticCones ,
Dicecoefficient= 2N TruePositive / (N ManualCones + N AutomaticCones ).

Metrics