2019
DOI: 10.1142/s1793545819420045
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A thorough study on genetic algorithms in feedback-based wavefront shaping

Abstract: Feedback-based wavefront shaping focuses light through scattering media by employing phase optimization algorithms. Genetic algorithms (GAs), inspired by the process of natural selection, are well suited for phase optimization in wavefront shaping problems. In 2012, Conkey et al. first introduced a GA into feedback-based wavefront shaping to find the optimum phase map. Since then, due to its superior performance in noisy environment, the GA has been widely adopted by lots of implementations. However, there hav… Show more

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Cited by 38 publications
(22 citation statements)
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“…The feedback signals can be light intensity 13,14 , fluorescence 5,15,16 , photoacoustic signal 17,18 , etc. This method can adjust the incident wavefront with respect to the current status of the dynamic scattering medium and therefore has the potential to be applied in highly dynamic environments 12,19 .…”
Section: Introductionmentioning
confidence: 99%
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“…The feedback signals can be light intensity 13,14 , fluorescence 5,15,16 , photoacoustic signal 17,18 , etc. This method can adjust the incident wavefront with respect to the current status of the dynamic scattering medium and therefore has the potential to be applied in highly dynamic environments 12,19 .…”
Section: Introductionmentioning
confidence: 99%
“…To achieve high-enhancement light focusing within highly dynamic scattering media, high-speed iterative optimization and a large number of modulation modes are essential for the iterative WS method. On the one hand, a variety of iterative optimization algorithms have been proposed, including the continuous sequential optimization 20,21 , partitioning algorithm 13 , genetic algorithm (GA) 19,22 , particle swarm optimization 23 , Hadamard algorithm 24 , simulated annealing algorithm 25 , etc. Compared with the conventional transmission matrix methods that require an enumerate search, these methods [19][20][21][22][23][24][25] significantly accelerate the process of optimizing the incident wavefront, but the speed of optimization is still not high enough to deal with the high dynamic media.…”
Section: Introductionmentioning
confidence: 99%
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“…In the past decade, optical wavefront shaping (WFS) has drawn lots of attention due to its unique ability to control light propagation through/inside complex media, which shows a great potential to revolutionize imaging and light manipulation in biological tissue. [1][2][3][4][5][6] Moreover, WFS has been demonstrated to mitigate the mode dispersion and coupling in multimode optical¯bers (MMF) by utilizing a spatial light modulator (SLM) to control the wavefront of incident light. 7,8 By scanning focus through a multimode¯ber directly or revising the transmission matrix, many types of MMF-based endoscopies have been proposed, [9][10][11] exhibiting quite a few advantages in brain imaging over¯ber bundle.…”
Section: Introductionmentioning
confidence: 99%
“…3 Implementations for fast wavefront shaping 4 have also been summarized towards the goal of applications in dynamic scattering media and living biological tissues. Original studies presented in this issue span from the development of technology 5 and optimization algorithm 6,7 to applications for highresolution imaging 8-10 and¯ber sensing. 11 Overall, they represent a diverse set of works re°ecting a broad range, albeit not the full picture, of the state of the art and direction of the¯eld.…”
mentioning
confidence: 99%