Genetic algorithm for feedback-based wavefront shaping in optical imaging

Conference Paper (2019)
Author(s)

Mehdi Haji Heidari Varnosfaderani (Tarbiat Modares University)

Moein Mozaffarzadeh (ImPhys/Acoustical Wavefield Imaging , Tarbiat Modares University)

Paul Kumar Upputuri (Nanyang Technological University)

Manojit Pramanik (Nanyang Technological University)

ImPhys/Acoustical Wavefield Imaging
DOI related publication
https://doi.org/10.1117/12.2509520 Final published version
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Publication Year
2019
Language
English
ImPhys/Acoustical Wavefield Imaging
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Volume number
10878
Article number
108786G
ISBN (electronic)
978-1-5106-2398-9
Event
Photons Plus Ultrasound: Imaging and Sensing 2019 (2019-02-03 - 2019-02-06), San Francisco, United States
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Abstract

Traditional optical devices rely on light propagation along a straight path. However, when the light propagates through a blurred medium, its direction get scattered by microscopic particles. This inhomogeneous distortion results in a diffused focus point. Light scattering is one of the main limitations for the optical imaging. This limitation decreases the resolution in depth. Therefore, the ability of focusing light at a desired position has a huge worthwhile for applications of optical imaging. Over the past few years, it was shown that light can be focused inside an object even with strong scattering particles, just by shaping the wavefront of the incident beam. The most successful approaches for light focusing at the presence of scattering objects are feedback-based optical wavefront shaping. In this paper, an iterative feedback-based wavefront shaping is proposed. It uses the genetic algorithm. In summary, we aim to obtain a high intensity in the focus point with fewer steps in iteration while increase the signal-to-noise. The simulations results show that both the above mentioned goals are achieved using the proposed method.

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