研究目的
To demonstrate a modified particle swarm optimization (PSO) algorithm for effectively shaping the incident light with strong robustness and short optimization time, and compare its performance with genetic algorithm (GA).
研究成果
The modified PSO algorithm has greater robustness and faster convergence speed than GA. It can also achieve multi-point focusing. These characteristics give the method good prospects for application in biomedicine.
研究不足
The experimental values of the enhancement for the two algorithms are lower than the simulated values due to strong experimental noise. The modified PSO achieves high enhancement by suppressing the background intensity rather than increasing the intensity of the focus.
1：Experimental Design and Method Selection:
A modified PSO algorithm is proposed for wavefront shaping to focus light through scattering media. The performance of the modified PSO and GA is compared through numerical simulation and experiments.
2：Sample Selection and Data Sources:
A laser with a wavelength of
3：8 nm is used as a light source. The scattered light is collected to form a speckle pattern and hits the CCD surface. List of Experimental Equipment and Materials:
6 He-Ne laser, beam expander, mirrors, digital micromirror device (DMD), lenses, objective lenses, scattering sample ZnO, charge coupled device (CCD), and personal computer (PC).
4：Experimental Procedures and Operational Workflow:
The outgoing beam is collimated and adjusted to be incident on the DMD. The reflected light is narrowed and focused on the scattering sample. The scattered light is collected to form a speckle pattern on the CCD. The image on the CCD is transferred to PC and optimized by the modified PSO to form an optimized mask.
5：Data Analysis Methods:
The enhancement of the output light field focus is defined and averaged from simulations. The relationship between the enhancement and the background intensity is analyzed.
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