September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Progress on Wavefront Sensorless Adaptive Optics for Preclinical Retinal Imaging
Author Affiliations & Notes
  • Yifan Jian
    Simon Fraser University, Burnaby, British Columbia, Canada
  • Daniel Wahl
    Simon Fraser University, Burnaby, British Columbia, Canada
  • Myeong Jin Ju
    Simon Fraser University, Burnaby, British Columbia, Canada
  • Robert J Zawadzki
    University of California Davis, Davis, California, United States
  • Stefano Bonora
    CNR-Institute for Photonics and Nanotechnology, Padova, Italy
  • Marinko Venci Sarunic
    Simon Fraser University, Burnaby, British Columbia, Canada
  • Footnotes
    Commercial Relationships   Yifan Jian, None; Daniel Wahl, None; Myeong Jin Ju, None; Robert Zawadzki, None; Stefano Bonora, None; Marinko Sarunic, None
  • Footnotes
    Support  Brain Canada, National Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research, Alzheimer Society Canada, Pacific Alzheimer Research Foundation, Michael Smith Foundation for Health Research, Genome British Columbia
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 58. doi:
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    • Get Citation

      Yifan Jian, Daniel Wahl, Myeong Jin Ju, Robert J Zawadzki, Stefano Bonora, Marinko Venci Sarunic; Progress on Wavefront Sensorless Adaptive Optics for Preclinical Retinal Imaging. Invest. Ophthalmol. Vis. Sci. 2016;57(12):58.

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

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Abstract

Purpose : We present the recent progress on wavefront sensorless adaptive optics (WSAO) for pre-clinical retinal imaging with optical coherence tomography (OCT), florescence confocal scanning laser ophthalmoscope (fcSLO) and simultaneous OCT two-photon biomicroscopy (OCT-TPM). In vivo retina structural and functional images acquired with mice are presented.

Methods : Wavefront Sensorless adaptive optics (WSAO) has been demonstrated to be a robust strategy for circumventing the limitations associated with conventional AO systems using a Shack Hartmann wavefront sensor. Instead of measuring the wavefront aberrations, it directly uses the image quality metric such as brightness and sharpness as a merit function for aberration correction. It is especially advantageous in small animal retinal imaging with lens-based imaging systems when wavefront sensing is difficult and inaccurate. In our WSAO imaging systems, we employed a modal hilling climbing algorithm, where the deformable element steps through Zernike modes with a preset range of coefficients, while the image quality metric is recorded, the coefficients that resulted the image with best quality is then applied to the deformable optical element.

Results : We present images of mouse retina acquired with our second generation WSAO OCT using a large stroke ALPAO mirror. The OCT volumes were streamed during acquisition and then averaged in post processing. Using a collimated beam incident on the eye with a zero diopter contact lens, the defocus could be shifted from retinal vasculature to the outer retina for visualization of the mouse photoreceptor mosaic. We present progress on widefield and high resolution mouse fluorescent retinal imaging using a zero diopter contact lens. Defocus was controlled using a variable focus lens, and aberration correction was performed with an IrisAO MEMS segmented deformable mirror.

Conclusions : In conclusion, WSAO techniques enable high resolution retinal imaging in preclinical applications at a reduced cost and system complexity. Combination of WSAO-OCT with a TPM system will enable depth resolved aberration correction based on structural images prior to the acquisition of low intensity functional images.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

Fluorescein angiography of mouse retina in vivo with WSAO fcSLO. Scale bar: 10µm

Fluorescein angiography of mouse retina in vivo with WSAO fcSLO. Scale bar: 10µm

 

WSAO OCT en face images acuqired with pigmented mouse retina in vivo. (a) Inner plexiform layer (b) Photoreceptors layer. Scale bar: 10µm

WSAO OCT en face images acuqired with pigmented mouse retina in vivo. (a) Inner plexiform layer (b) Photoreceptors layer. Scale bar: 10µm

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