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Chi Man Woo

Researcher at Hong Kong Polytechnic University

Publications -  12
Citations -  135

Chi Man Woo is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Wavefront & Computer science. The author has an hindex of 2, co-authored 5 publications receiving 12 citations.

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Adaptive optical focusing through perturbed scattering media with a dynamic mutation algorithm

TL;DR: In this article, a square rule of binary-amplitude modulation was proposed to quantify how many pixels on the spatial light modulator incorrectly modulate the wavefront for the instant status of the medium or the whole system.
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Wavefront shaping: A versatile tool to conquer multiple scattering in multidisciplinary fields

TL;DR: Wavefront shaping can be used to achieve optical focusing deep inside scattering media for biomedical imaging, sensing, stimulation, and treatment as discussed by the authors , which can also be used for noninvasive or minimally invasive optical interactions and arbitrary control inside deep tissues.
Journal ArticleDOI

Dynamic mutation enhanced particle swarm optimization for optical wavefront shaping.

TL;DR: In this paper, a dynamic mutation operation was proposed to enhance the focusing performance of particle swarm optimization (PSO) in wavefront shaping for focusing light through or inside scattering media, and the simulation and experimental results show that PSO with dynamic mutation demonstrates considerably better performance than PSO without mutation or with a constant mutation.
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Adaptive optical focusing through perturbed scattering media with dynamic mutation algorithm

TL;DR: A square rule of binary-amplitude modulation, directly relating the measured focusing performance with the error in the optimized wavefront, is theoretically proved and experimentally validated and proposed as a novel algorithm, dynamic mutation algorithm, with high adaptability against perturbations by probing how far the optimization has gone toward the theoretically optimum.
Journal ArticleDOI

Optimal efficiency of focusing diffused light through scattering media with iterative wavefront shaping

TL;DR: A probability-based iterative algorithm combining genetic algorithm (GA) and ant colony optimization (ACO) in which the new solutions can be generated based on a probability map is proposed, able to obtain optimization results with optimal efficiency for single and multiple focuses behind scattering media.