ViB/KU-Leuven
Joined May 2018
Super-neat approach for fluorescence decoding of MERFISH, SeqFISH, ISS and any other image-based spatial transcriptomics technology!
ISTDECO: In Situ Transcriptomics Decoding by Deconvolution biorxiv.org/cgi/content/shor… #bioRxiv
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The latest version of umap-learn is now out. Version 0.5 includes some major new features, including ParametricUMAP, DensMAP, AlignedUMAP, model composition, and model updating. Thank you to everyone who contributed! 1/14
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Gabriele Partel retweeted
Excited to share our data&model zoo sfaira: We provide 233 data sets, 55 organs, 3.1M annotated cells together with 8 pre-trained model classes, to replace manual workflows, facilitate method benchmarking & extension w private data. biorxiv.org/content/10.1101/… github.com/theislab/sfaira
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#CoMIR: Contrastive Multimodal Image Representation for Registration @ #NeurIPS2020 – solving your #multimodal #imageRegistration needs by first translating images to a shared virtual modality where the task is easier: github.com/MIDA-group/CoMIR proceedings.neurips.cc/paper… #MIDAgroup
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Gabriele Partel retweeted
Come by my poster at #I2K2020 if you want to learn about how to visualize millions of in situ sequencing gene expression points and how you can use them to learn more about your cell types and spatial compartments! @Vi2UU @CarolinaWahlby @gapartel
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I'm super proud to announce that our fantastic PhD students won the AI Sweden 'Adipocyte Cell Imaging Challenge': ai.se/en/news/ai-sweden-init…
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Proud of @gapartel presenting his dissertation at @Vi2UU. Image and data analysis for spatial resolved transcriptomics. Extremely powerful, bleeding edge technology for exploring the very thing we are all made of. We thank the great opponent Roland Eils @CaptainSysBio
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Great collaboration with @M_Hilscher and @MatsNilssonLab! Take a look at the brain regions in our interactive viewer for spatial gene expression tissuumaps.research.it.uu.se… @CarolinaWahlby @lesolorzanova @ahklemm @milli_giorgia
Out now: automated, unsupervised and unbiased annotation of spatial compartments from in situ sequencing data. rdcu.be/b8LxB @gapartel @CarolinaWahlby @M_Hilscher
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🔬 Different microscopes output different image file formats making it challenging for scientists to compare. That's why we developed an #openscience software to help level the playfield. #microscopy alleninstitute.org/what-we-d…
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Gabriele Partel retweeted
Our #TissUUmaps applications note is out! and it's Open access! We thank @OUPBioinfo for a friendly process, the reviewers for their kind comments and constructive criticism, @UppsalaUniLib for the OA agreements and @ERC_Research for the funding. @CarolinaWahlby @GabrielePartel
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Gabriele Partel retweeted
Phew, so much work! But finally submitted another paper. If you want to hear me embarrassing myself speaking english go to tissuumaps.research.it.uu.se… You can also visit if you are curious about our work! #TissUUmaps #geneExpression #spatialTranscriptomics
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L’unità e il lavoro di squadra sono da sempre i principi su cui si fonda la nostra Forza Armata e, in questo momento più che mai, sono fondamentali. Ed allora, come fanno da sempre le @FrecceTricolori ‘facciamo squadra’ 💪🏻, uniamo le forze 🏋🏻, insieme ce la faremo 🇮🇹!
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Teaching online the next few weeks? Check out this Coding & Vision 101 Educational Lecture Series includes 12 videos produced by the Allen Institute for Brain Science to serve as an educational resource for the community. youtube.com/playlist?list=PL…
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Two open positions (senior + postdoc) in digital image processing with life science applications in my lab at Uppsala University and SciLifeLab: uu.se/en/about-uu/join-us/de… uu.se/en/about-uu/join-us/de… #WahlbyLab #SciLifeLab
Gabriele Partel retweeted
Next iteration of in situ sequencing is now out as a preprint @biorxivpreprint. We show improved robustness and flexibility of Hybridization-based in situ sequencing (HybISS) on human brain sections with goals towards a spatial human cell atlas.🧠🔬🧬 disq.us/t/3lupqeo
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