10 December 2016 Focusing of light through turbid media by curve fitting optimization
Author Affiliations +
Abstract
The construction of wavefront phase plays a critical role in focusing light through turbid media. We introduce the curve fitting algorithm (CFA) into the feedback control procedure for wavefront optimization. Unlike the existing continuous sequential algorithm (CSA), the CFA locates the optimal phase by fitting a curve to the measured signals. Simulation results show that, similar to the genetic algorithm (GA), the proposed CFA technique is far less susceptible to the experimental noise than the CSA. Furthermore, only three measurements of feedback signals are enough for CFA to fit the optimal phase while obtaining a higher focal intensity than the CSA and the GA, dramatically shortening the optimization time by a factor of 3 compared with the CSA and the GA. The proposed CFA approach can be applied to enhance the focus intensity and boost the focusing speed in the fields of biological imaging, particle trapping, laser therapy, and so on, and might help to focus light through dynamic turbid media.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2016/$25.00 © 2016 SPIE
Changmei Gong, Tengfei Wu, Jietao Liu, Huijuan Li, Xiaopeng Shao, and Jianqi Zhang "Focusing of light through turbid media by curve fitting optimization," Optical Engineering 55(12), 123105 (10 December 2016). https://doi.org/10.1117/1.OE.55.12.123105
Published: 10 December 2016
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Cited by 1 scholarly publication.
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KEYWORDS
Signal to noise ratio

Modulation

Spatial light modulators

Wavefronts

Sensors

Phase shift keying

Feedback signals

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