Focusing and imaging through scattering media has been proved possible with high resolution wavefront shaping. A completely scrambled scattering field can be corrected by applying a correction phase mask on a phase only spatial light modulator (SLM) and thereby the focusing quality can be improved. The correction phase is often found by global searching algorithms, among which Genetic Algorithm (GA) stands out for its parallel optimization process and high performance in noisy environment. However, the convergence of GA slows down gradually with the progression of optimization, causing the improvement factor of optimization to reach a plateau eventually. In this report, we propose an interleaved segment correction (ISC) method that can significantly boost the improvement factor with the same number of iterations comparing with the conventional all segment correction (ASC) method. In the ISC method, all the phase segments are divided into a number of interleaved groups; GA optimization procedures are performed individually and sequentially among each group of segments. The final correction phase mask is formed by applying correction phases of all interleaved groups together on the SLM. The ISC method has been proved significantly useful in practice because of its ability to achieve better improvement factors when noise is present in the system. We have also demonstrated that the imaging quality is improved as better correction phases are found and applied on the SLM. Additionally, the ISC method lowers the demand of dynamic ranges of detection devices. The proposed method holds potential in applications, such as high-resolution imaging in deep tissue.

中文翻译：

---

交错段校正在使用遗传算法优化通过散射介质的光聚焦方面实现了更高的改进因子

已证明通过高分辨率波前整形可以通过散射介质进行聚焦和成像。通过在仅相位空间光调制器（SLM）上应用校正相位掩模可以校正完全加扰的散射场，从而可以提高聚焦质量。校正阶段通常通过全局搜索算法找到，其中遗传算法（GA）以其并行优化过程和在嘈杂环境中的高性能而脱颖而出。但是，随着优化的进行，GA的收敛速度逐渐减慢，最终导致优化的改进因子达到一个平台。在这份报告中，我们提出了一种交错段校正（ISC）方法，与传统的全段校正（ASC）方法相比，该方法可以在相同迭代次数下显着提高改进因子。在ISC方法中，所有的相位段被分成多个交错的组；GA 优化程序在每组段中单独并按顺序执行。最终的校正相位掩模是通过在 SLM 上一起应用所有交错组的校正相位而形成的。ISC 方法已被证明在实践中非常有用，因为当系统中存在噪声时，它能够实现更好的改进因子。我们还证明，随着更好的校正相位被发现并应用于 SLM，成像质量得到了提高。此外，ISC 方法降低了对检测设备动态范围的要求。所提出的方法在应用中具有潜力，例如深部组织的高分辨率成像。