Intelligent Algorithms for Wavefront Shaping

Focusing or imaging through scattering media is still a big challenge because inhomogeneous media scatter incoming photons for focusing and outgoing photons for observation. Various approachs have been proposed to tackle the scattering issues. One can measure the transmission matrix of the scattering media in advance in order to compensate the scattering effect, yet this method relies heavily on the characterization of scattering media, making it time-comsuming and not general enough. Wavefront shaping is an optimization-algorithm based method that exploit no prior information of scattering media. Most off-the-self optimization algorithms focus on genetic algorithm and its variants. Genetic algorithm is one of the most powerful evolutionary algorithms that shares great popularity among industries. Here in this project we intent to compare the optimization performance in wavefront shaping using different evolutionary algorithms.

Note that in this project we aim to develop fluorescence imaging through scattering media using polymer dots (a type of fluorescence probe developed by group of Changfeng Wu). And that’s why the numerical demonstration exploys a reflective optical scheme simulating fluorescence backpropagating through scatterig media, while in experimental section we are adopting a simpler transmissive optical scheme for algorithm validation. For more details of the simulation demonstration, please refer to literatures¹.