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#deconvolution

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R.L. Dane :Debian: :OpenBSD: 🍵 :MiraLovesYou:<p>Ok, this is <em><strong>amazing</strong></em>.</p><p><a href="https://inv.nadeko.net/watch?v=xDLxFGXuPEc" rel="nofollow noopener noreferrer" target="_blank">https://inv.nadeko.net/watch?v=xDLxFGXuPEc</a></p><p>YT - Captain Disillusion - CD / Blur</p><p><a href="https://polymaths.social/tags/blur" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Blur</span></a> <a href="https://polymaths.social/tags/deblur" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeBlur</span></a> <a href="https://polymaths.social/tags/convolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Convolution</span></a> <a href="https://polymaths.social/tags/gaussian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gaussian</span></a> <a href="https://polymaths.social/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeConvolution</span></a> <a href="https://polymaths.social/tags/fourier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fourier</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://mathstodon.xyz/@NadiaHalidi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>NadiaHalidi</span></a></span> </p><p>Workshop on True Image Deconvolution, Restoration, and Analysis</p><p>When: March 13th, 2025 – 3 days from now.</p><p>2 hours long: 14:30 - 16:30 CET</p><p>Where: online, via zoom.</p><p>Program: <a href="https://www.crg.eu/en/event/workshop-true-image-deconvolution-restoration-and-analysis" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">crg.eu/en/event/workshop-true-</span><span class="invisible">image-deconvolution-restoration-and-analysis</span></a></p><p>Registration: <a href="https://apps.crg.es/content/internet/events/webforms/workshop-true-image-deconvolution-restoration-and-analysis" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">apps.crg.es/content/internet/e</span><span class="invisible">vents/webforms/workshop-true-image-deconvolution-restoration-and-analysis</span></a></p><p><a href="https://mathstodon.xyz/tags/BioimageAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BioimageAnalysis</span></a> <a href="https://mathstodon.xyz/tags/PSF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PSF</span></a> <a href="https://mathstodon.xyz/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a> <a href="https://mathstodon.xyz/tags/ImageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageProcessing</span></a> <a href="https://mathstodon.xyz/tags/microscopy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>microscopy</span></a></p>
Moritz Negwer<p>This 3D image stack deconvolution tool looks super useful for <a href="https://mstdn.science/tags/bioimageanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bioimageanalysis</span></a> </p><p>Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images<br>Wernersson et al., Nature Methods 2024<br><a href="https://doi.org/10.1038/s41592-024-02294-7" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1038/s41592-024-022</span><span class="invisible">94-7</span></a></p><p>Github: <a href="https://github.com/elgw/deconwolf/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/elgw/deconwolf/</span><span class="invisible"></span></a> <br>Program: <a href="https://deconwolf.fht.org/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">deconwolf.fht.org/</span><span class="invisible"></span></a></p><p><a href="https://mstdn.science/tags/microscopy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>microscopy</span></a> <a href="https://mstdn.science/tags/ImageAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageAnalysis</span></a> <a href="https://mstdn.science/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a></p>
Albert Cardona<p>"Ring Deconvolution Microscopy: An Exact Solution for Spatially-Varying Aberration Correction" by Amit Kohli et al. 2023 <a href="https://arxiv.org/abs/2206.08928" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2206.08928</span><span class="invisible"></span></a></p><p>Claims to solve the spatially-varying problem of deconvolution that makes it so computationally expensive, and with a single calibration image per instrument. Eager to give it a try soon.</p><p><a href="https://mathstodon.xyz/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a> <a href="https://mathstodon.xyz/tags/LSM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LSM</span></a> <a href="https://mathstodon.xyz/tags/imaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>imaging</span></a> <a href="https://mathstodon.xyz/tags/microscopy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>microscopy</span></a></p>
Daniel Fischer<p>Richardson-Lucy <a href="https://scicomm.xyz/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a> with a spatially Variant point-spread function of <a href="https://scicomm.xyz/tags/Chandra" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Chandra</span></a> - Supernova Remnant <a href="https://scicomm.xyz/tags/CassiopeiaA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CassiopeiaA</span></a> as an Example: <a href="https://arxiv.org/abs/2306.13355" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2306.13355</span><span class="invisible"></span></a> -&gt; Image Reconstruction Technique to Enhance the Clarity of High Spatial Resolution Space X-ray Images - Revealing fine structures in Cassiopeia A Supernova Remnant: <a href="https://english.rikkyo.ac.jp/news/2023/dn4ddm0000005dp0.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">english.rikkyo.ac.jp/news/2023</span><span class="invisible">/dn4ddm0000005dp0.html</span></a></p>
Daniel Fischer<p>Galaxy image <a href="https://scicomm.xyz/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a> for weak <a href="https://scicomm.xyz/tags/GravitationaLensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GravitationaLensing</span></a> with unrolled plug-and-play ADMM: <a href="https://academic.oup.com/mnrasl/article/522/1/L31/7075894" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">academic.oup.com/mnrasl/articl</span><span class="invisible">e/522/1/L31/7075894</span></a> -&gt; <a href="https://scicomm.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> algorithm unblurs the cosmos; tool produces faster, more realistic images than current methods: <a href="https://news.northwestern.edu/stories/2023/03/ai-algorithm-unblurs-the-cosmos/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.northwestern.edu/stories/</span><span class="invisible">2023/03/ai-algorithm-unblurs-the-cosmos/</span></a> and <a href="https://news.northwestern.edu/stories/2023/03/ai-algorithm-unblurs-the-cosmos/?fj=1" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.northwestern.edu/stories/</span><span class="invisible">2023/03/ai-algorithm-unblurs-the-cosmos/?fj=1</span></a></p>
j_bertolotti<p><a href="https://mathstodon.xyz/tags/PhysicsFactlet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhysicsFactlet</span></a> <br>If you know the response function of your instrument, you can deconvolve it from your measurement to obtain a much sharper signal. But deconvolution is a dangerous procedure, as small mistakes in the kernel can result in heavy artefacts.<br><a href="https://mathstodon.xyz/tags/Visualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Visualization</span></a> <a href="https://mathstodon.xyz/tags/Imaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Imaging</span></a> <a href="https://mathstodon.xyz/tags/PointSpreadFunction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PointSpreadFunction</span></a> <a href="https://mathstodon.xyz/tags/Deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Deconvolution</span></a> <a href="https://mathstodon.xyz/tags/Physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Physics</span></a></p>
David Kent, bird of the sea<p>i guess i'll do an <a href="https://mathstodon.xyz/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>introduction</span></a>. i'm a <a href="https://mathstodon.xyz/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> phd candidate at <a href="https://mathstodon.xyz/tags/cornell" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cornell</span></a>. i work on non-parametric <a href="https://mathstodon.xyz/tags/deconvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deconvolution</span></a> (aspirational hashtag) theory and some <a href="https://mathstodon.xyz/tags/FunctionalData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FunctionalData</span></a> non-parametric regression stuff too (currently with <a href="https://mathstodon.xyz/tags/astronomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>astronomy</span></a> applications; spectroscopy, photometric redshift estimation, etc).</p><p>i'm learning <a href="https://mathstodon.xyz/tags/persian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>persian</span></a> (سلام! خوبی؟) and <a href="https://mathstodon.xyz/tags/running" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>running</span></a> when i'm not doing stats or <a href="https://mathstodon.xyz/tags/lying" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lying</span></a> <a href="https://mathstodon.xyz/tags/prone" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prone</span></a> on the <a href="https://mathstodon.xyz/tags/floor" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>floor</span></a> in <a href="https://mathstodon.xyz/tags/despair" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>despair</span></a></p>