AI 中文总结
该研究提出基于空间非相干光空间相干特性的无导星无传感器自适应光学框架，利用像差诱导的空间相关分布展宽实现像差校正，在明场系统及结构化噪声下均有效，为无传感器AO提供了新反馈机制。
AI 中文摘要
光学像差会降低无标记显微镜的成像性能，这类系统因缺乏导星，往往需要采用无传感器自适应光学（AO）技术。传统无传感器AO方法依赖图像质量指标，而指标的最优选择取决于样本和成像模态。本文提出一种基于空间非相干光空间相干特性的无导星AO框架，该方法利用像差诱导的测量空间相关分布展宽作为像差校正的反馈信号。在采用标准LED照明的常规明场成像系统中开展的实验表明，该方法可成功校正相位像差；即便存在空间结构化背景噪声，该方法仍能保持有效性。这些结果确立了空间相干测量作为无传感器AO有效反馈机制的作用，同时表明量子辅助AO中采用的基于相关的反馈原理，也可利用非相干光的空间相关性实现。
英文摘要
Optical aberrations degrade imaging performance in label-free microscopy, where the absence of a guide star often necessitates sensorless adaptive optics (AO). Conventional sensorless AO approaches rely on image-quality metrics whose optimal choice depends on both the specimen and the imaging modality. Here, we present a guide-star-free AO framework based on the spatial coherence properties of spatially incoherent light. The proposed method exploits aberration-induced broadening of the measured spatial correlation distribution as the feedback signal for aberration correction. Experiments in a conventional bright-field imaging system using standard LED illumination demonstrate successful correction of phase aberrations. Furthermore, the approach remains effective even in the presence of spatially structured background noise. These results establish spatial coherence measurements as an effective feedback mechanism for sensorless AO and indicate that the correlation-based feedback principle employed in quantum-assisted AO can likewise be realized using the spatial correlations of incoherent light.
