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US<p><a href="https://www.europesays.com/us/48814/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/us/48814/</span><span class="invisible"></span></a> DLSS 4 With Multi Frame Generation Coming To RuneScape: Dragonwilds, Mortal Online 2 &amp; Brickadia | GeForce News <a href="https://pubeurope.com/tags/brickadia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brickadia</span></a> <a href="https://pubeurope.com/tags/Computing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Computing</span></a> <a href="https://pubeurope.com/tags/dlaa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dlaa</span></a> <a href="https://pubeurope.com/tags/Dlss4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Dlss4</span></a> <a href="https://pubeurope.com/tags/FrameGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FrameGeneration</span></a> <a href="https://pubeurope.com/tags/geforce" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geforce</span></a> <a href="https://pubeurope.com/tags/MortalOnline2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MortalOnline2</span></a> <a href="https://pubeurope.com/tags/MultiFrameGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultiFrameGeneration</span></a> <a href="https://pubeurope.com/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nvidia</span></a> <a href="https://pubeurope.com/tags/reflex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reflex</span></a> <a href="https://pubeurope.com/tags/rtx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rtx</span></a> <a href="https://pubeurope.com/tags/RunescapeDragonwilds" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RunescapeDragonwilds</span></a> <a href="https://pubeurope.com/tags/SummerNights" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SummerNights</span></a> <a href="https://pubeurope.com/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a></p>
Unofficial PetaPixel Bot<p>OM System Is Considering AI Upscaling as a Solution to Low Resolution Sensors <a href="https://petapixel.com/2025/07/03/om-system-is-considering-ai-upscaling-as-a-solution-to-low-resolution-sensors/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">petapixel.com/2025/07/03/om-sy</span><span class="invisible">stem-is-considering-ai-upscaling-as-a-solution-to-low-resolution-sensors/</span></a> <a href="https://toot.earth/tags/computationalphotography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalphotography</span></a> <a href="https://toot.earth/tags/superresolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>superresolution</span></a> <a href="https://toot.earth/tags/aiupscaling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aiupscaling</span></a> <a href="https://toot.earth/tags/Interviews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Interviews</span></a> <a href="https://toot.earth/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://toot.earth/tags/interview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interview</span></a> <a href="https://toot.earth/tags/Features" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Features</span></a> <a href="https://toot.earth/tags/bildexpo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bildexpo</span></a> <a href="https://toot.earth/tags/omsystem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>omsystem</span></a> <a href="https://toot.earth/tags/bild" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bild</span></a> <a href="https://toot.earth/tags/om3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>om3</span></a> <a href="https://toot.earth/tags/om5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>om5</span></a> <a href="https://toot.earth/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a></p>
Daniel Fischer<p><a href="https://scicomm.xyz/tags/ALMA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ALMA</span></a> 2D <a href="https://scicomm.xyz/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> imaging survey of Ophiuchus Class I/flat spectrum/II <a href="https://scicomm.xyz/tags/disks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>disks</span></a> - discovery of new disk substructures: <a href="https://academic.oup.com/pasj/article/77/3/572/8117664?login=false" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">academic.oup.com/pasj/article/</span><span class="invisible">77/3/572/8117664?login=false</span></a> -&gt; New Super-resolution Imaging Reveals the First Step of Planet Formation after Star Birth / New Insights into Planet Formation from Public Data with New Imaging Technique: <a href="https://alma-telescope.jp/en/news/press/cradle-202506.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">alma-telescope.jp/en/news/pres</span><span class="invisible">s/cradle-202506.html</span></a> / <a href="https://www.nao.ac.jp/en/news/science/2025/20250624-alma.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nao.ac.jp/en/news/science/2025</span><span class="invisible">/20250624-alma.html</span></a></p>
Collabora<p>🎉 Congrats to Collabora's Machine Learning team, led by Marcus Edel, Vineet Suryan, and Aaron Boxer, who have taken first place in Track 3 of the ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing!</p><p>Get a breakdown of our winning submission and mark your calendars for Marcus' talk in Nantes: <a href="https://www.collabora.com/news-and-blog/news-and-events/collabora-takes-first-place-at-icme-2025-grand-challenge.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">collabora.com/news-and-blog/ne</span><span class="invisible">ws-and-events/collabora-takes-first-place-at-icme-2025-grand-challenge.html</span></a></p><p><a href="https://floss.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://floss.social/tags/superresolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>superresolution</span></a> <a href="https://floss.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a></p>
AiBay<p>🔍 Chain-of-Zoom rivoluziona il mondo delle immagini con super-risoluzione AI. Scopri la nitidezza senza precedenti!🖼️ <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://mastodon.social/tags/socialmedia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>socialmedia</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a></p><p>🔗 <a href="https://aibay.it/notizie/zoom-estremo-senza-riaddestramento-nuova-ai-2025-06-05" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">aibay.it/notizie/zoom-estremo-</span><span class="invisible">senza-riaddestramento-nuova-ai-2025-06-05</span></a></p>
Alex S.<p>DLSS has transformed how modern games are rendered, evolving from simple AI upscaling to real-time frame generation with the new RTX 5090. But how does it actually work? How is it related to super-resolution in computer vision? Why isn’t it supported on AI GPUs like the A100 or H100?</p><p><a href="https://www.patreon.com/posts/deep-learning-ai-128934193" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">patreon.com/posts/deep-learnin</span><span class="invisible">g-ai-128934193</span></a></p><p><a href="https://mastodon.world/tags/DLSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DLSS</span></a> <a href="https://mastodon.world/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nvidia</span></a> <a href="https://mastodon.world/tags/RTX5090" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX5090</span></a> <a href="https://mastodon.world/tags/RTX50Series" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX50Series</span></a> <a href="https://mastodon.world/tags/RayTracing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RayTracing</span></a> <a href="https://mastodon.world/tags/NeuralRendering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralRendering</span></a> <a href="https://mastodon.world/tags/GamingPerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GamingPerformance</span></a> <a href="https://mastodon.world/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://mastodon.world/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://mastodon.world/tags/AIHardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIHardware</span></a> <a href="https://mastodon.world/tags/FrameGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FrameGeneration</span></a> <a href="https://mastodon.world/tags/TechDeepDive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechDeepDive</span></a> <a href="https://mastodon.world/tags/RealTimeGraphics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RealTimeGraphics</span></a> <a href="https://mastodon.world/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a></p>
alexgpu<p><a href="https://www.patreon.com/posts/deep-learning-ai-128934193" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">patreon.com/posts/deep-learnin</span><span class="invisible">g-ai-128934193</span></a></p><p>This article explains DLSS from the ground up—covering its key innovations, hardware dependencies, and performance impact with real examples from RTX 50 series benchmarks. It also compares DLSS with research in image super-resolution to clarify the technical overlaps and differences.</p><p><a href="https://graphics.social/tags/DLSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DLSS</span></a> <a href="https://graphics.social/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nvidia</span></a> <a href="https://graphics.social/tags/RTX5090" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX5090</span></a> <a href="https://graphics.social/tags/RTX50Series" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX50Series</span></a> <a href="https://graphics.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://graphics.social/tags/NeuralRendering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralRendering</span></a> <a href="https://graphics.social/tags/GamingPerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GamingPerformance</span></a> <a href="https://graphics.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://graphics.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://graphics.social/tags/AIHardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIHardware</span></a> <a href="https://graphics.social/tags/TechDeepDive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechDeepDive</span></a> <a href="https://graphics.social/tags/Upscaling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Upscaling</span></a> <a href="https://graphics.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
ALEXBSR<p><a href="https://www.patreon.com/posts/deep-learning-ai-128934193" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">patreon.com/posts/deep-learnin</span><span class="invisible">g-ai-128934193</span></a></p><p>This tutorial explains DLSS from the ground up—covering its key innovations, hardware dependencies, and performance impact with real examples from RTX 50 series benchmarks. It also compares DLSS with research in image super-resolution to clarify the technical overlaps and differences.</p><p><a href="https://techhub.social/tags/DLSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DLSS</span></a> <a href="https://techhub.social/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nvidia</span></a> <a href="https://techhub.social/tags/RTX5090" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX5090</span></a> <a href="https://techhub.social/tags/RTX50Series" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX50Series</span></a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://techhub.social/tags/NeuralRendering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralRendering</span></a> <a href="https://techhub.social/tags/GamingPerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GamingPerformance</span></a> <a href="https://techhub.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://techhub.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://techhub.social/tags/AIHardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIHardware</span></a> <a href="https://techhub.social/tags/TechDeepDive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechDeepDive</span></a> <a href="https://techhub.social/tags/Upscaling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Upscaling</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
BuySellRam.com<p><a href="https://www.patreon.com/posts/deep-learning-ai-128934193" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">patreon.com/posts/deep-learnin</span><span class="invisible">g-ai-128934193</span></a></p><p>This tutorial explains DLSS from the ground up—covering its key innovations, hardware dependencies, and performance impact with real examples from RTX 50 series benchmarks. It also compares DLSS with research in image super-resolution to clarify the technical overlaps and differences.</p><p><a href="https://mastodon.social/tags/DLSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DLSS</span></a> <a href="https://mastodon.social/tags/Nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nvidia</span></a> <a href="https://mastodon.social/tags/RTX5090" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX5090</span></a> <a href="https://mastodon.social/tags/RTX50Series" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RTX50Series</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/NeuralRendering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralRendering</span></a> <a href="https://mastodon.social/tags/GamingPerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GamingPerformance</span></a> <a href="https://mastodon.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://mastodon.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://mastodon.social/tags/AIHardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIHardware</span></a> <a href="https://mastodon.social/tags/TechDeepDive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechDeepDive</span></a> <a href="https://mastodon.social/tags/Upscaling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Upscaling</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
TheDoctor<p>New super-resolution method! 🚀 Researchers present a hypernetwork that estimates pixel-wise parameters to generate local neural heat fields. The result: continuous, anti-aliased images with state-of-the-art performance across various benchmarks! <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a></p>
Bose-Einstein-Kondensat<p><a href="https://mstdn.social/tags/OpenSIMMO" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSIMMO</span></a>: A fully-automated <a href="https://mstdn.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> multicolour structured illumination module for <a href="https://mstdn.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://mstdn.social/tags/microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscopy</span></a>:</p><p>-<a href="https://mstdn.social/tags/fluorescence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fluorescence</span></a> <a href="https://mstdn.social/tags/microscope" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscope</span></a> add-on<br>-<a href="https://mstdn.social/tags/RasPi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RasPi</span></a>/#ESP32 control</p><p>Preprint: <a href="https://doi.org/10.1101/2024.07.04.601961" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1101/2024.07.04.601</span><span class="invisible">961</span></a><br>Web: <a href="https://opensimmo.github.io/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">opensimmo.github.io/</span><span class="invisible"></span></a><br><a href="https://mstdn.social/tags/DIYbio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DIYbio</span></a> <a href="https://mstdn.social/tags/lab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lab</span></a> <a href="https://mstdn.social/tags/instruments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>instruments</span></a> <a href="https://mstdn.social/tags/SIM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SIM</span></a> <a href="https://mstdn.social/tags/imaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imaging</span></a> <a href="https://mstdn.social/tags/laser" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>laser</span></a> <a href="https://mstdn.social/tags/optics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>optics</span></a> <a href="https://mstdn.social/tags/Napari" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Napari</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/ImSwitch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImSwitch</span></a> <a href="https://mstdn.social/tags/DMD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DMD</span></a> <a href="https://mstdn.social/tags/OpenUC2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenUC2</span></a></p>
Bose-Einstein-Kondensat<p><a href="https://mstdn.social/tags/ExIGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExIGS</span></a>: Combining <a href="https://mstdn.social/tags/expansion" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>expansion</span></a> <a href="https://mstdn.social/tags/microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscopy</span></a> (<a href="https://mstdn.social/tags/ExM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExM</span></a>) &amp; in situ <a href="https://mstdn.social/tags/genome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genome</span></a> <a href="https://mstdn.social/tags/sequencing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sequencing</span></a> (<a href="https://mstdn.social/tags/IGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IGS</span></a>) enables sequencing of <a href="https://mstdn.social/tags/genomic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genomic</span></a> <a href="https://mstdn.social/tags/DNA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DNA</span></a> &amp; <a href="https://mstdn.social/tags/superresolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>superresolution</span></a> localization of <a href="https://mstdn.social/tags/nuclear" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nuclear</span></a> <a href="https://mstdn.social/tags/proteins" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteins</span></a> in single <a href="https://mstdn.social/tags/cells" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cells</span></a>:</p><p>Preprint: <a href="https://doi.org/10.1101/2024.09.24.614614" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1101/2024.09.24.614</span><span class="invisible">614</span></a><br><a href="https://mstdn.social/tags/DIYbio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DIYbio</span></a> <a href="https://mstdn.social/tags/lab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lab</span></a> <a href="https://mstdn.social/tags/instruments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>instruments</span></a> <a href="https://mstdn.social/tags/NGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NGS</span></a> <a href="https://mstdn.social/tags/fluorescence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fluorescence</span></a> <a href="https://mstdn.social/tags/imaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imaging</span></a></p>
GambaJo<p><a href="https://social.tchncs.de/tags/Microsoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microsoft</span></a> will wissen, welchen Porn Du dir rein ziehst.<br><a href="https://social.tchncs.de/tags/Edge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Edge</span></a> schickt Bild-URLs an Microsoft.</p><p><a href="https://social.tchncs.de/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> <a href="https://social.tchncs.de/tags/MicrosoftEdge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MicrosoftEdge</span></a> <a href="https://social.tchncs.de/tags/Browser" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Browser</span></a> <a href="https://social.tchncs.de/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://social.tchncs.de/tags/Spyware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spyware</span></a> </p><p><a href="https://www.golem.de/news/privatsphaere-super-resolution-in-edge-schickt-bild-urls-an-microsoft-2306-174902.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">golem.de/news/privatsphaere-su</span><span class="invisible">per-resolution-in-edge-schickt-bild-urls-an-microsoft-2306-174902.html</span></a></p>
WinFuture.de<p>Mit <a href="https://mastodon.social/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> kitzeln Nvidia und AMD deutlich mehr Leistung aus ihrer Hardware. Jetzt hat Qualcomm das Prinzip auf die Android-Welt übertragen: <a href="https://winfuture.de/news,135898.html?utm_source=Mastodon&amp;utm_medium=ManualStatus&amp;utm_campaign=SocialMedia" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">winfuture.de/news,135898.html?</span><span class="invisible">utm_source=Mastodon&amp;utm_medium=ManualStatus&amp;utm_campaign=SocialMedia</span></a></p>
Ricardo Henriques<p><a href="https://mas.to/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a><br>Hello <a href="https://mas.to/tags/ScienceMastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScienceMastodon</span></a>,<br> <br>I am a Group Leader at IGC Portugal, and also an Honorary Professor at UCL UK </p><p>In the lab, we like to call ourselves Optical Cell Biologists. We develop <a href="https://mas.to/tags/Microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microscopy</span></a> technology to study cells and their viral infection at the nanoscale. To do so, we deploy novel <a href="https://mas.to/tags/SuperResolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperResolution</span></a> and <a href="https://mas.to/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> methods</p><p>We hold an ethos for making our methods easily available, reproducible and open to anyone</p><p>Post often about the lab, research we find cool and myself</p>