July 2020
Volume 61, Issue 9
Free
ARVO Imaging in the Eye Conference Abstract  |   July 2020
Functional optical coherence tomography of photoreceptor outer and inner segments in living eye.
Author Affiliations & Notes
  • Guangying Ma
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Tae-Hoon Kim
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Taeyoon Son
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Xincheng Yao
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
    Department of Ophthalmology & Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   Guangying Ma, None; Tae-Hoon Kim, None; Taeyoon Son, None; Xincheng Yao, None
  • Footnotes
    Support  NIH R01 EY023522, NIH R01 EY030101, NIH P30 EY001792
Investigative Ophthalmology & Visual Science July 2020, Vol.61, PB00124. doi:
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    • Get Citation

      Guangying Ma, Tae-Hoon Kim, Taeyoon Son, Xincheng Yao; Functional optical coherence tomography of photoreceptor outer and inner segments in living eye.. Invest. Ophthalmol. Vis. Sci. 2020;61(9):PB00124.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : This study is to investigate stimulus-evoked intrinsic optical signal (IOS) changes in photoreceptor outer segment (OS) and inner segment (IS), and thus to demonstrate the potential of functional IOS imaging of phototransduction and metabolic integrity of retinal photoreceptor.

Methods : A custom-designed optical coherence tomography (OCT) was used for in vivo imaging of transient IOS changes in the retina of wild-type mice (C57BL/6J). A near-infrared superluminescent diode (SLD) was used as the light source for OCT imaging, and a visible light-emitting diode (LED) was employed for retinal stimulation. Depth-resolved IOSs were calculated at individual retina layers, based on the time-lapse OCT sequence. IOS changes at OS and IS ellipsoid (ISe) were segmented for quantitative analysis.

Results : Individual retina layers, including OS and ISe, were observed in OCT image (Fig. 1A). Rapid IOS response was consistently observed in OS almost right away after the onset of the retinal stimulation (Fig. 1B). However, robust IOS change at ISe had a ~2 s time delay, compared to that observed at OS (Fig. 1C). As shown in Fig. 1, the rapid OS-IOS reached the peak value before the slow IS-IOS. The time courses of these OS-IOS and IS-IOS were dependent on the stimulus strength.

Conclusions : Functional OCT revealed rapid IOS at OS, and relatively slow IOS at ISe. We anticipate that the OS-IOS and IS-IOS can work as objective, noninvasive biomarkers for functional assessment phototransduction property and metabolic integrity at photoreceptor OS and IS segments respectively.

This is a 2020 Imaging in the Eye Conference abstract.

 

Fig. 1. (A) Representative OCT B-scan. (B) Spatiotemporal IOS map. The vertical dashed line illustrates the time point of retinal stimulation. (C) Average IS-IOS and OS-IOS changes, for recording period between -5 s and 10 s, shows distinct onset time courses. The vertical dashed line illustrates the time point of retinal stimulation.

Fig. 1. (A) Representative OCT B-scan. (B) Spatiotemporal IOS map. The vertical dashed line illustrates the time point of retinal stimulation. (C) Average IS-IOS and OS-IOS changes, for recording period between -5 s and 10 s, shows distinct onset time courses. The vertical dashed line illustrates the time point of retinal stimulation.

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