Abstract

Feedback-based wavefront shaping focuses light through scattering media by employing phase optimization algorithms. Genetic algorithms (GAs), inspired by the process of natural selection, are well suited for phase optimization in wavefront shaping problems. In 2012, Conkey et al. first introduced a GA into feedback-based wavefront shaping to find the optimum phase map. Since then, due to its superior performance in noisy environment, the GA has been widely adopted by lots of implementations. However, there have been limited studies discussing and optimizing the detailed procedures of the GA. To fill this blank, in this study, we performed a thorough study on the performance of the GA for focusing light through scattering media. Using numerical tools, we evaluated certain procedures that can be potentially improved and provided guidance on how to choose certain parameters appropriately. This study is beneficial in improving the performance of wavefront shaping systems with GAs.

Highlights

  • Optical focusing is essentially important in many applications of biophotonics, such as optical imaging, laser surgery, phototherapy, and optical manipulation

  • Werst discuss the scheme to form new generations, which turns out to have considerable e®ects on the performance of the Genetic algorithms (GAs)

  • For scheme 1, it is likely that some of the newly added o®spring may even have a lowertness compared to those dropped ones, which may slow down the increasing rate of the enhancement

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Summary

Introduction

Optical focusing is essentially important in many applications of biophotonics, such as optical imaging, laser surgery, phototherapy, and optical manipulation. Microscopic inhomogeneity inherent to biological tissue causes optical scattering, which prevents optical focusing from being achieved beyond 1 mm in soft tissue.[1,2] These scattering e®ects have been long considered as the major obstacles that limit all these applications to a shallow depth To overcome this challenge, wavefront shaping technology has been developed with the capability to control and refocus scattered light. By treating optical scattering as a deterministic process, wavefront shaping technologynds a special wavefront, called optimum wavefront, to compensate scattering This is an Open Access article published by World Scientic Publishing Company. To form an optical focus at the targeted position through the scattering medium, the phase map displayed on the SLM is iteratively optimized to maximize the feedback signal. By comparing the performance of the GA with various combinations of parameters, we provide certain guidance on how to choose these parameters appropriately under di®erent noise levels

Genetic Algorithm
Simulation Environment
Results and Discussions
Conclusion
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