TY - JOUR
T1 - Adaptive optics in the mouse eye
T2 - Wavefront sensing based vs. Image-guided aberration correction
AU - Wahl, Daniel J.
AU - Zhang, Pengfei
AU - Mocci, Jacopo
AU - Quintavalla, Martino
AU - Muradore, Riccardo
AU - Jian, Yifan
AU - Bonora, Stefano
AU - Sarunic, Marinko V.
AU - Zawadzki, Robert J.
N1 - Funding Information:
T Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), the Michael Smith Foundation for Health Research (MSFHR), Brain Canada Foundation, Genome British Columbia, Pacific Alzheimer Research Foundation (PARF), and Innovate BC. Zawadzki was supported by the National Eye Institute UC Davis Vision Center Core Grant (P30 EY012576) and R01 EY026556, UC Davis Research Investments in Science and Engineering (RISE) Grant, and NSF I/UCRC CBSS Grant.
Publisher Copyright:
© 2019 Optical Society of America.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Adaptive Optics (AO) is required to achieve diffraction limited resolution in many real-life imaging applications in biology and medicine. AO is essential to guarantee high fidelity visualization of cellular structures for retinal imaging by correcting ocular aberrations. Aberration correction for mouse retinal imaging by direct wavefront measurement has been demonstrated with great success. However, for mouse eyes, the performance of the wavefront sensor (WFS) based AO can be limited by several factors including non-common path errors, wavefront reconstruction errors, and an ill-defined reference plane. Image-based AO can avoid these issues at the cost of algorithmic execution time. Furthermore, image-based approaches can provide improvements to compactness, accessibility, and even the performance of AO systems. Here, we demonstrate the ability of image-based AO to provide comparable aberration correction and image resolution to the conventional Shack-Hartmann WFS-based AO approach. The residual wavefront error of the mouse eye was monitored during a wavefront sensorless optimization to allow comparison with classical AO. This also allowed us to improve the performance of our AO system for small animal retinal imaging.
AB - Adaptive Optics (AO) is required to achieve diffraction limited resolution in many real-life imaging applications in biology and medicine. AO is essential to guarantee high fidelity visualization of cellular structures for retinal imaging by correcting ocular aberrations. Aberration correction for mouse retinal imaging by direct wavefront measurement has been demonstrated with great success. However, for mouse eyes, the performance of the wavefront sensor (WFS) based AO can be limited by several factors including non-common path errors, wavefront reconstruction errors, and an ill-defined reference plane. Image-based AO can avoid these issues at the cost of algorithmic execution time. Furthermore, image-based approaches can provide improvements to compactness, accessibility, and even the performance of AO systems. Here, we demonstrate the ability of image-based AO to provide comparable aberration correction and image resolution to the conventional Shack-Hartmann WFS-based AO approach. The residual wavefront error of the mouse eye was monitored during a wavefront sensorless optimization to allow comparison with classical AO. This also allowed us to improve the performance of our AO system for small animal retinal imaging.
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U2 - 10.1364/BOE.10.004757
DO - 10.1364/BOE.10.004757
M3 - Article
AN - SCOPUS:85075742659
SN - 2156-7085
VL - 10
SP - 4757
EP - 4774
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 9
ER -