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6 results for “Wavefront Shaping”
Wavefront shaping through a free-form scattering object
<p>The basic publication is:</p><p>Alfredo Rates, Ad Lagendijk, Aurele Adam, Wilbert IJzerman, and Willem Vos, "Wavefront shaping through a free-form scattering object", Opt. Express <strong>31</strong>, 43351-43361 (2023). DOI: 10.1364/OE.505974.<br> <br>We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and to reproduce all the figures of our paper.</p><p>The upload contains the file "Metadata.txt" explaining the content of the upload.</p>
Data and code associated with "Spatial wavefront shaping with a nanostructured metasurface for structured illumination microscopy"
<p>Data and code associated with the manuscript "Spatial wavefront shaping with a nanostructured metasurface for structured illumination microscopy"</p>
Quantum-inspired computational wavefront shaping enables turbulence-resilient distributed aperture synthesis imaging
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NeuWS: Neural Wavefront Shaping for guidestar-free imaging through static and dynamic scattering media
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Dataset for Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media
<h3>About the data set</h3> <p>The zipped folder contains the saved computational run data of the Matlab code packages associated with our manuscript titled "Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media". Two .mat data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" are available within the zipped folder which are associated with the Matlab code packages hosted in the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> . One may add the data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" to the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> code package folders "Code-Package-1" and "Code-Package-2" respectively. Loading the saved run data (by setting <em>new_run_flag=0</em> in the main.m file contained in the Github repository) helps to visualize the results presented in the paper, without actually performing a new computational run from scratch. On the other hand, setting the flag <em>new_run_flag=1</em> yields a fresh computational run, initializing a new disorder.</p> <div> <h3>Contribution</h3> </div> <p>The dataset, the associated code packages and the analytical and numerical formulations were developed by Michael Raju as part of his <a href="https://hdl.handle.net/10468/14107" target="_blank" rel="noopener">PhD thesis</a>. Baptiste Jayet and Prof. Stefan Andersson-Engels were involved in the PhD supervision. </p>
Fast wavefront shaping for two-photon brain imaging with multi-patch correction - raw datas
<p>Raw stack images for the main figures of the paper: "Fast wavefront shaping for two-photon brain imaging with multi-patch correction" </p>
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