研究目的
To introduce a novel global optimization algorithm, the bat algorithm (BA), for wavefront shaping to focus light through highly scattered media, comparing its performance with the genetic algorithm (GA) in terms of enhancement and speed in noisy environments.
研究成果
The BA performs better than GA in intensity enhancement, focusing speed, and noise immunity for scattered light refocusing. It enables quick formation of single or multiple focal spots through a highly scattering layer, potentially benefiting biomedical imaging in deep tissues.
研究不足
The study assumes the scattering medium is static during the iterative process. Performance under higher noise levels (>60%) degrades faster for BA than GA, suggesting parameter adjustments may be necessary for different noise levels.
1：Experimental Design and Method Selection:
The study employs the bat algorithm (BA) for binary wavefront shaping to focus light through scattering media, comparing its performance with the genetic algorithm (GA).
2：Sample Selection and Data Sources:
A numerical model based on the transmission matrix (TM) theory simulates the process of BA-enabled optical focusing. Experimental validation uses a high-speed digital micromirror device (DMD) to perform binary optimization.
3：List of Experimental Equipment and Materials:
He-Ne laser, DMD (V-9501 VIS, Vialux), objectives, CMOS camera (D752, PixeLINK), scattering medium (ZnO layer).
4：Experimental Procedures and Operational Workflow:
The BA searches for optimized amplitude of the incident beam using a binary DMD. Simulations and experiments compare BA and GA performance under various noise levels.
5：Data Analysis Methods:
Intensity enhancement and peak-to-background ratio (PBR) are measured to evaluate focusing performance.
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