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Related papers: OTSLM Toolbox for Structured Light Methods

200 papers

Active wavefront control in high-power laser illumination systems is important for technologies such as additive manufacturing, free-space laser communication, and power transmission. Conventional spatial light modulators (SLMs) and…

We develop an improved phase calibration method of a reflective spatial light modulator (SLM) using interferometry by employing novel phase masks. We generate the optimised phase masks by using Iterative Fourier Transform Algorithm (IFTA)…

Optics · Physics 2022-04-26 Amar Deo Chandra , Ayan Banerjee

This paper presents a new Matlab toolbox, aimed at facilitating the use of polynomial optimization for stability analysis of nonlinear systems. In the past decade several decisive contributions made it possible to recast this type of…

Optimization and Control · Mathematics 2024-04-03 Stéphane Drobot , Matteo Tacchi , Carmen Cardozo , Colin N. Jones

The Transfer Matrix Method (TMM) is a widely used technique for modeling linear propagation of electromagnetic waves through stratified layered media. However, since its extension to inhomogeneous and nonlinear systems is not…

Optics · Physics 2025-06-23 Karol Sajnok , Michał Matuszewski

Digital micromirror devices have gained popularity in wavefront shaping, offering a high frame rate alternative to liquid crystal spatial light modulators. They are relatively inexpensive, offer high resolution, are easy to operate, and a…

Light-based 3D printing, which relies on photocurable resins, has shown the capability to produce complex geometries with high resolution and fidelity. Tomographic Volumetric Additive Manufacturing (TVAM) employs a digital micromirror…

Optics · Physics 2025-06-04 Maria Isabel Álvarez-Castaño , Ye Pu , Christophe Moser

Multilayer metasurfaces (MLMs) represent a versatile type of three-dimensional optical metamaterials that could enable ultra-thin and multi-functional photonic components. Herein we demonstrate an approach to readily fabricate MLMs…

Optics · Physics 2019-09-17 Esteban Bermúdez-Ureña , Ullrich Steiner

We present a novel framework for rectifying occlusions and distortions in degraded texture samples from natural images. Traditional texture synthesis approaches focus on generating textures from pristine samples, which necessitate…

Graphics · Computer Science 2023-09-27 Guoqing Hao , Satoshi Iizuka , Kensho Hara , Edgar Simo-Serra , Hirokatsu Kataoka , Kazuhiro Fukui

State Space Models (SSM) is a MATLAB 7.0 software toolbox for doing time series analysis by state space methods. The software features fully interactive construction and combination of models, with support for univariate and multivariate…

Computation · Statistics 2007-06-26 Jyh-Ying Peng , John A. D. Aston

We present a superpixel method for full spatial phase and amplitude control of a light beam using a digital micromirror device (DMD) combined with a spatial filter. We combine square regions of nearby micromirrors into superpixels by low…

Optics · Physics 2015-06-19 Sebastianus A. Goorden , Jacopo Bertolotti , Allard P. Mosk

Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields. Using a gradient-based inverse designed, static phase-mask doublet, we propose an optical system to…

Flexible and fast control of the phase and amplitude of coherent light, enabled by digital micromirror devices (DMDs) and spatial light modulators (SLMs), has been a driving force for recent advances in optical tweezers, nonlinear…

Optics · Physics 2021-07-07 Ruslan Röhrich , Femius Koenderink , Stefan Witte , Lars Loetgering

We describe three algorithms for generating binary-valued holograms. Our methods are optimised for producing large arrays of tightly focussed optical tweezers for trapping particles. Binary-valued holograms allow us to use a digital mirror…

Optics · Physics 2014-09-08 Dustin Stuart , Oliver Barter , Axel Kuhn

Microfluidic devices have emerged as powerful tools in various laboratory applications, but the complexity of their design limits accessibility for many practitioners. While progress has been made in microfluidic design automation (MFDA), a…

Artificial Intelligence · Computer Science 2026-02-25 Jasper Davidson , Skylar Stockham , Allen Boston , Ashton Snelgrove , Valerio Tenace , Pierre-Emmanuel Gaillardon

A digital micromirror device (DMD) is an amplitude-type spatial light modulator. However, a complex-amplitude light modulation with a DMD can be achieved using the superpixel scheme. In the superpixel scheme, we notice that multiple…

Image and Video Processing · Electrical Eng. & Systems 2019-10-25 Shuming Jiao , Dongfang Zhang , Chonglei Zhang , Yang Gao , Ting Lei , Xiaocong Yuan

Material discovery is a critical area of research with the potential to revolutionize various fields, including carbon capture, renewable energy, and electronics. However, the immense scale of the chemical space makes it challenging to…

Machine Learning · Computer Science 2024-11-01 Anuroop Sriram , Benjamin Kurt Miller , Ricky T. Q. Chen , Brandon M. Wood

We demonstrate simultaneous control of both the phase and amplitude of light using a conjugate gradient minimisation-based hologram calculation technique and a single phase-only spatial light modulator (SLM). A cost function which…

This work presents the optical reconstruction of computer-generated holograms (CGHs) 3D scenes via spatial light modulators (SLMs). Holography is an optical technique that allows the recording and reconstruction of images of 3D objects, as…

Optics · Physics 2017-05-24 Mauricio Nel Bolanos Pena , Marcos R. R. Gesualdi

In this paper, we present a novel approach for the design of leaky-wave holographic antennas that generates OAM-carrying electromagnetic waves by combining Flat Optics (FO) and machine learning (ML) techniques. To improve the performance of…

MATLAB(R) releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the System Identification Toolbox(TM). The emphasis has been on integrating deep learning architectures and training…

Machine Learning · Computer Science 2024-09-13 Tianyu Dai , Khaled Aljanaideh , Rong Chen , Rajiv Singh , Alec Stothert , Lennart Ljung