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🥳Alrighty - end-of-year push to get the final version of #CellSeg3D out! 👩‍💻 pip install napari-cellseg3d==0.2.2 📚 biorxiv.org/content/10.1101/… We extended benchmarking, new videos, extended text, and a demo on cFOS 👋
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Of Your Gourd:🎃Self-supervised learning approach CellSeg3D for fluorescence microscopy quantifies cells in 3D volumes (as from this human brain) 📷: @AChRD4 et al @mwmathislab @EPFL in @elife preprint ➡️: bpod.org.uk/archive/2024/10/…
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Again, many thanks to the awesome #CellSeg3D team (on X) ❤️ @AChRD4 @TheVetFuturist @CYHSM @vmaxmc2 @itsasimiqbal @stephane_pages @SebHausmann 🎉🔥💻🦄
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Happy birthday @napari_imaging - you’ve been a game changer, including for us: @DeepLabCut and #CellSeg3D 👏🙏🏼🎉
6 years ago to the minute 🥳🎂, napari co-founder @loicaroyer made the 1st commit to the “napari-core” repo. github.com/napari/napari-cor… Since then, over 150 community members have contributed to the napari code, docs, & tooling, and over 400 plugins have been developed. #napariAt6
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#CellSeg3D in bioRxiv 🎉 Lead by @AChRD4👏, this self-supervised 3D cell segmentation Python package with @napari_imaging plugin is a game-changer🔬 Proud to have kickstarted this project with @TrackingActions during my postdoc at @EPFL_en - amazing to see how far it has come🚀
🎉 new preprint posted of potential interest, lead by talented masters student @AChRD4: 🔥fully unsupervised 3D cell segmentation that is as good (or better) than leading supervised methods, with @napari_imaging integration! 👏 biorxiv.org/content/10.1101/… ➕new 3D GT dataset ⬇️🧵
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CellSeg3D: self-supervised 3D cell segmentation for microscopy biorxiv.org/cgi/content/shor… #biorxiv_cellbio

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CellSeg3D: self-supervised 3D cell segmentation for microscopy biorxiv.org/cgi/content/shor… #bioRxiv

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Have you tried #CellSeg3D yet for automating your 3D lightsheet microscopy analysis? We just hit >75K pip installations! 🥳 We have some 🔥 coming soon ... but in the meantime, github.com/AdaptiveMotorCont… lead by @AChRD4 @Neuro_X_EPFL
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Legos or 🐭 brain? 🧠 🧱 @AChRD4 is working on seamless integration of @brain_globe #BrainReg with #cellseg3D 🔥🚧✨data courtesy of our awesome collaborators at the @Wysscenter @stephane_pages #openScience
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And Cyril aka @AChRD4 joins Twitter! 🎉 Follow him for excellent updates on our rapidly developing 3D cell segmentation computer vision work! He is the lead developer of #CellSeg3D
#CLARITY @MesoSpim is amazing. We aim to directly do 3D semantic & instance segmentation on this data for cFOS, co-counting, etc. My awesome lab members Cyril Achard & @vmaxmc2 built a @napari_imaging plugin to make a free, open source tool for this: github.com/AdaptiveMotorCont…
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Replying to @damiandn
Sounds like a great workflow; would be happy for you to test out #cellseg3D, and if you have any open source 3D data for training, that would be amazing to share! github.com/AdaptiveMotorCont…

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There is no paper, but check out the docs: adaptivemotorcontrollab.gith… and watch the project grow over the next year as we integrate with @brain_globe tools and beyond! It is also on pypi as a release candidate & #napariHub: pip install napari-cellseg3d

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