We are excited to release Aydin, a user-friendly, feature-rich, and fast image denoising tool. Fantastic work by @_AhmetCanSolak , @liilii_tweet, and @czbiohub alumni @thebasepointhttps://t.co/71WYzeMiGi#image #denoising #Microscopy #Python #automagic— Loïc A. Royer 💻🔬⚗️ (@loicaroyer) November 8, 2021
Wanna join my team to build awesome #lightsheet microscopes? I am seeking a PhD-level optical engineer with experience building bespoke microscopes, ideally light-sheet. Postdoc also possible in collab with #Berkeley or #Stanford— Loïc A. Royer 💻🔬⚗️ (@loicaroyer) October 29, 2021
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So proud of this work from Bin Yang (@Bin_YANG_Optics ) and the rest of the team, check this out! This is really transforming the kind of Biology we are aiming for in the lab! #singleobjective #lightsheet https://t.co/ynUUyRNe55— Loïc A. Royer 💻🔬⚗️ (@loicaroyer) April 20, 2021
Super excited to present cytoself — our deep learning method for fully self-supervised protein localisation profiling and clustering. Fantastic work by @liilii_tweet together with our @czbiohub colleagues @kchev and @LeonettiManuel. https://t.co/lLfGxdF3qo— Loïc A. Royer 💻🔬⚗️ (@loicaroyer) March 30, 2021
Endogenous tagging + 3D live-cell imaging + mass-spec interactome = https://t.co/83dtszwHs7, an open-source map of the human proteome. So excited for our first release, wonderful collaboration with @labs_mann @loicaroyer & many other colleagues. @OpenCellCZB https://t.co/Zo2hNkQo7q pic.twitter.com/iSX12yp9Pv— Manuel Leonetti (@LeonettiManuel) March 30, 2021
Elucidating the diversity and complexity of protein localization is essential to fully understand cellular architecture. Here, we present cytoself, a deep learning-based approach for fully self-supervised protein localization profiling and clustering.