研究目的
Investigating the effectiveness of the bat algorithm (BA) for binary optimization in focusing light through highly scattered media compared to the genetic algorithm (GA).
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. The performance of BA degrades faster than GA under higher noise levels (>60%).
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 (10X, NA = 0.4 and 0.25; Olympus), CMOS camera (D752, PixeLINK), scattering sample (ZnO layer).
4：4 and 25; Olympus), CMOS camera (D752, PixeLINK), scattering sample (ZnO layer).
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The BA searches for optimized amplitude of the incident beam using a binary mask on the DMD. The intensity of a target segment on the camera is measured as feedback to update the masks.
5：Data Analysis Methods:
The intensity enhancement at the focal point is calculated, and the performance of BA and GA is compared under different noise levels.
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