Literature DB >> 31853415

Light reflectivity and interference in cone photoreceptors.

Alexander Meadway1, Lawrence C Sincich1.   

Abstract

In several modes of retinal imaging, the primary means of visualizing cone photoreceptors is from reflected light. Understanding how such images are formed, particularly when adaptive optics techniques are used, will help to guide their interpretation. Toward this end, we used finite difference beam propagation to model reflections from cone photoreceptors. We investigated the formation of cone images in adaptive optics scanning laser ophthalmoscopy (AOSLO) and optical coherence tomography (AOOCT). Three cone models were tested, one made up of three segments of varying refractive index, the other two having additional boundaries at the inner/outer segment junction and outer segment tip. Images formed by the first model did not correspond to AOOCT observations in the literature, while the latter two did. The predicted distributions of reflected light intensity from the latter cone models were compared to the distribution from AOSLO images, both studied with light sources of varied coherence length. The cone model with the most reflections at the inner/outer segment junction best fit the data measured in vivo. These results show that variance in cone reflection can originate from light interfering from reflectors much more closely spaced than the outer segment length. We also show that subtracting images taken with different coherence length sources highlights these changes in interference. Differential coherence images of cones occasionally revealed an annular reflection profile, which modeling showed to be very sensitive to cone size and the gaps bracketing the outer segment, suggesting that such imaging may be useful for probing photoreceptor morphology.
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Year:  2019        PMID: 31853415      PMCID: PMC6913404          DOI: 10.1364/BOE.10.006531

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  74 in total

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3.  Refractometry and interferometry of living cells.

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5.  In vivo functional imaging of human cone photoreceptors.

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Journal:  Opt Express       Date:  2007       Impact factor: 3.894

6.  Outer Retinal Bands.

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7.  The cellular origins of the outer retinal bands in optical coherence tomography images.

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8.  A dual-modal retinal imaging system with adaptive optics.

Authors:  Alexander Meadway; Christopher A Girkin; Yuhua Zhang
Journal:  Opt Express       Date:  2013-12-02       Impact factor: 3.894

9.  In vivo optical imaging of physiological responses to photostimulation in human photoreceptors.

Authors:  Dierck Hillmann; Hendrik Spahr; Clara Pfäffle; Helge Sudkamp; Gesa Franke; Gereon Hüttmann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-11       Impact factor: 11.205

10.  Spatial and temporal variation of rod photoreceptor reflectance in the human retina.

Authors:  Robert F Cooper; Adam M Dubis; Ashavini Pavaskar; Jungtae Rha; Alfredo Dubra; Joseph Carroll
Journal:  Biomed Opt Express       Date:  2011-08-11       Impact factor: 3.732

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  3 in total

1.  Optoretinography of individual human cone photoreceptors.

Authors:  Robert F Cooper; David H Brainard; Jessica I W Morgan
Journal:  Opt Express       Date:  2020-12-21       Impact factor: 3.894

2.  Patches of Dysflective Cones in Eyes With No Known Disease.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2022-01-03       Impact factor: 4.799

3.  Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images.

Authors:  Laura K Young; Hannah E Smithson
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

  3 in total

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