Author:
Kumar Amit,Thakur Sarvesh,Biswas S. K.
Abstract
AbstractComplex structure formation inside or through turbid media is a challenging task due to refractive index inhomogeneity, random light scattering, and speckle noise formation. In this article, we have coupled the data regression model in the R-squared metric and used its advantages as a fitness function in the genetic algorithm to advance the resolution and structural uniformity. As a compatible system with the binary genetic algorithm, we have presented a cost-effective iterative wavefront shaping system-design with binary phase modulation using an affordable ferroelectric liquid crystal (FLC) based binary-phase spatial light modulator (SLM). R-squared metric in the genetic algorithm is analyzed to optimize the binary phase mask, and the prototype system based on iterative binary phase modulation has been validated with a 120-grit ground glass diffuser and fresh chicken tissues of thickness 307 $${\upmu }\text {m}$$
μ
m
and 812 $${\upmu }\text {m}$$
μ
m
. The detailed results show that the proposed cost-effective wavefront shaping system with data regression model assisted R-squared fitness function can construct high-resolution multiple complex hetero-structures simultaneously in 3D volume using an optimized single phase-mask.
Funder
Impacting Research Innovation and Technology
Indian Institute of Science Education and Research Mohali
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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