佛山大学物理与光电工程学院粤港澳智能微纳光电技术联合实验室,佛山 528225
These authors contributed equally to this work.
国家自然科学基金(62205060,62075042)和粤港澳智能微纳光电技术联合实验室研究基金(2020B1212030010)资助项目。
Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528225, China
This work was supported by grants from The National Natural Science Foundation of China (62205060, 62075042) and the Research Fund of the Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology of Guangdong, Hong Kong and Macao (2020B1212030010).
目的 便携式眼底相机在基层医疗和大规模眼病筛查中应用广泛,但现有自动对焦技术难以兼顾速度、精度与系统复杂度。基于图像清晰度评价的方法需迭代搜索,收敛慢;基于投影点的方法易受衍射伪影和杂散光干扰,可靠性不足。为解决上述问题,本文提出一种基于波前探测的自动对焦方法。方法 该自动调焦方法向眼底投射光点,并利用微型夏克-哈特曼波前传感器采集像面聚焦点的波前信息;通过Zernike多项式对波前相对于参考面的离焦量进行量化,进而驱动调焦镜完成闭环对焦。结果 基于此方法,设计并搭建了一套紧凑型眼底成像系统,总光路长度190 mm,视场角53°,屈光补偿范围±20 D。测试结果表明,该系统在5 mm的调焦行程内,可实现±20 D的屈光补偿范围,调焦精度优于0.08 D,单次调焦平均时间为0.5 s。结论 在模拟眼与真人眼实验中,该系统均表现出快速、高精度的自动调焦性能,验证了其作为便携式眼底相机自动调焦解决方案的有效性。本系统在紧凑结构内实现了快速、高精度的自动对焦,为便携式眼底相机提供了一种高效可靠的自动对焦解决方案。
Objective The widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices.Methods Our approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms.Results Comprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range.Conclusion This work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.
林哲凯,陈隆,郑庚泳,黄金天,董佳鑫,杨尚潘,丁文正,韩定安,王雪花,曾亚光.基于夏克-哈特曼波前传感的紧凑型快速自动对焦眼底成像系统[J].生物化学与生物物理进展,2026,53(4):1076-1086 LIN Zhe-Kai, CHEN Long, ZHENG Geng-Yong, HUANG Jin-Tian, DONG Jia-Xin, YANG Shang-Pan, DING Wen-Zheng, HAN Ding-An, WANG Xue-Hua, ZENG Ya-Guang. Compact Fundus Imaging System Using Shack-Hartmann Wavefront Sensing for High-speed Auto-focus[J]. Progress in Biochemistry and Biophysics,2026,53(4):1076-1086
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