Abstract
Focusing light through a scattering medium is a longstanding challenge in biomedical optics, to which wavefront shaping is a powerful solution. The state-of-the-art feedback-based approach is the widely used genetic algorithm method. However, it can only achieve relatively low enhancement of the focus, and the genetic algorithm is known to be time-consuming. To tackle those issues, we propose a gradient-assisted strategy for wavefront shaping. The proposed method conducts optimization in the function distribution space. Specifically, when optimizing the parameters along each iteration, the consequent function distribution changes within a distance as measured by the Kullback–Leibler divergence. Taking advantage of the gradient information, the proposed method is over 60× faster to obtain the same peak-to-background ratio (PBR) level. Compared with the genetic algorithm that is able to optimize a number of 64 × 64 phase segments, the proposed gradient strategy is able to optimize 256 × 256 phase segments, and gives 20× higher focus enhancement as quantified by the PBR.
| Original language | English |
|---|---|
| Pages (from-to) | 1518-1521 |
| Number of pages | 4 |
| Journal | Optics Letters |
| Volume | 46 |
| Issue number | 7 |
| DOIs | |
| State | Published - 1 Apr 2021 |
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