Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives

Author:

Wang Tianhong1ORCID,Rumman Nazifa2ORCID,Bassène Pascal1,N'Gom Moussa13ORCID

Affiliation:

1. Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, NY 12180, USA

2. Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, NY 12180, USA

3. Center for Ultrafast Optical Sciences, University of Michigan, Ann Arbor, MI 48109, USA

Abstract

We present a scoring-based genetic algorithm (SBGA) for wavefront shaping to optimize multiple objectives at a time. The algorithm is able to find one feasible solution despite having to optimize multiple objectives. We employ the algorithm to generate multiple focus points simultaneously and allocate their intensities as desired. We then introduce a third objective to confine light focusing only to desired targets and prevent irradiation in neighboring regions. Through simulations and experiments, we demonstrate the algorithm’s ease of implementation and flexibility to control the search direction. This algorithm can potentially be applied to improve biomedical imaging, optogenetics, and optical trapping.

Funder

National Geospatial Intelligent Agency

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging

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