Focusing through a turbid medium by amplitude modulation with genetic algorithm

Weijia Dai; Ligen Peng; Xiaopeng Shao

doi:10.1117/12.2052988

22 May 2014 Focusing through a turbid medium by amplitude modulation with genetic algorithm

Weijia Dai, Ligen Peng, Xiaopeng Shao

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91241C (2014) https://doi.org/10.1117/12.2052988
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Multiple scattering of light in opaque materials such as white paint and human tissue forms a volume speckle field, will greatly reduce the imaging depth and degrade the imaging quality. A novel approach is proposed to focus light through a turbid medium using amplitude modulation with genetic algorithm (GA) from speckle patterns. Compared with phase modulation method, amplitude modulation approach, in which the each element of spatial light modulator (SLM) is either zero or one, is much easier to achieve. Theoretical and experimental results show that, the advantage of GA is more suitable for low the signal to noise ratio (SNR) environments in comparison to the existing amplitude control algorithms such as binary amplitude modulation. The circular Gaussian distribution model and Rayleigh Sommerfeld diffraction theory are employed in our simulations to describe the turbid medium and light propagation between optical devices, respectively. It is demonstrated that the GA technique can achieve a higher overall enhancement, and converge much faster than others, and outperform all algorithms at high noise. Focusing through a turbid medium has potential in the observation of cells and protein molecules in biological tissues and other structures in micro/nano scale.

Citation Download Citation

Weijia Dai, Ligen Peng, and Xiaopeng Shao "Focusing through a turbid medium by amplitude modulation with genetic algorithm", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91241C (22 May 2014); https://doi.org/10.1117/12.2052988

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