DataSheet1_Sensorless Wavefront Correction in Two-Photon Microscopy Across Different Turbidity Scales.PDF

Adaptive optics (AO) is a powerful tool to increase the imaging depth of multiphoton scanning microscopes. For highly scattering tissues, sensorless wavefront correction techniques exhibit robust performance and present a straight-forward implementation of AO. However, for many applications such as live-tissue imaging, the speed of aberration correction remains a critical bottleneck. Dynamic Adaptive Scattering compensation Holography (DASH)—a fast-converging sensorless AO technique introduced recently for scatter compensation in nonlinear scanning microscopy—addresses this issue. DASH has been targeted at highly turbid media, but to-date it has remained an open question how it performs for mild turbidity, where limitations imposed by phase-only wavefront shaping are expected to impede its convergence. In this work, we study the performance of DASH across different turbidity regimes, in simulation as well as experiments. We further provide a direct comparison between DASH and a novel, modified version of the Continuous Sequential Algorithm (CSA) which we call Amplified CSA (a-CSA).

自适应光学（Adaptive Optics，AO）是提升多光子扫描显微镜成像深度的有力工具。针对高散射组织，无传感器波前校正技术展现出优异的鲁棒性能，且实现方式简洁直接。然而在活体成像等诸多应用场景中，像差校正的速度仍是关键瓶颈。动态自适应散射补偿全息术（Dynamic Adaptive Scattering Compensation Holography，DASH）作为近期提出的快速收敛型无传感器自适应光学技术，专为非线性扫描显微镜的散射补偿设计，解决了上述速度瓶颈问题。尽管DASH最初针对高浊度介质开发，但截至目前，其在轻度浊度环境下的性能仍为悬而未决的问题——因为在该场景下，仅相位波前整形带来的固有限制预计会阻碍其收敛过程。本研究通过仿真与实验两种手段，系统探究了DASH在不同浊度区间下的性能表现。此外，我们还将DASH与一种经改进的新型连续序列算法（Continuous Sequential Algorithm，CSA，我们将其命名为放大型CSA（a-CSA））进行了直接对比。