Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 5, 563(2023)
Research on improving the universality of adaptive optical retinal imaging system
Adaptive optics is widely used to correct aberrations in the human eye, achieving high-resolution imaging of fundus cells and microvessels. Traditional adaptive optics systems are limited by the dynamic range of the Shack Hartmann wavefront detector and are only suitable for some people, and cannot perform fundus high-resolution imaging in people with high refractive errors. In order to improve the universality of fundus adaptive optical imaging system, this paper designs a high-resolution fundus adaptive optical imaging system based on voice coil deformation mirror. The introduction of the Badal focusing system can perform high-resolution imaging of the fundus with the diopter of the human eye between -8~8 D. In this system, the traditional annular diaphragm is replaced with an adjustable axial cone lens set, the spacing of positive and negative axonal cone lenses are controlled to adjust the inner diameter of annular light in order to adapt the cornea of different eyes, and avoid stray light reflected by the cornea. Large field of view imaging is realized through visual beacon guidance. The simulation results show that the illumination subsystem has a uniform distribution of retinal illumination in the fundus. Within the set tolerance, at least 90% of the MTF values reach 0.21 at 25 lp/mm (corresponding to 4 μm on the retina). The corresponding optical path was built in the laboratory, and the simulated human eye with large distortion was imaged, and a good imaging effect was obtained.
Get Citation
Copy Citation Text
Yan-yan YANG, Qi-li HU, Ming HU, Lü JIANG, Jia-hao FENG, Sheng-xiao HUA, Jing-jing WU, Zhou-ping SU, Li-fa HU. Research on improving the universality of adaptive optical retinal imaging system[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(5): 563
Category: Research Articles
Received: Jan. 25, 2023
Accepted: --
Published Online: Jul. 4, 2023
The Author Email: Li-fa HU (hulifa@jiangnan.edu.cn)