🚨 New preprint + open-source release! We're excited to share MIPHEI-ViT — a model that predicts multiplex immunofluorescence (mIF) from H&E-stained histology images using Vision Transformer (ViT) foundation models. 📄
@thomas-walter.bsky.social
So honored to have welcomed @janefonda.com to Institut Curie in Paris! After receiving the 2024 Marie Curie Legacy Award last November, actress and activist Jane Fonda wanted to meet with our teams for an immersive look at the institute’s cutting-edge scientific and medical work. 💡🧬
🎉 We're excited to share our latest work: "A Deep Learning approach for time-consistent cell cycle phase prediction from microscopy data", now available on bioRxiv! www.biorxiv.org/content/10.1...
A Deep Learning approach for time-consistent cell cycle phase prediction from microscopy data
The cell cycle consists of four phases and impacts most cellular processes. In imaging assays, the cycle phase can be identified using dedicated cell-cycle markers. However, such markers occupy fluore...
biorxiv.org
Excited to share our review in Nature Reviews Genetics on cell-type deconvolution! "Cell-type deconvolution methods for spatial transcriptomics" 🔗 nature.com/articles/s41... 📖 Free access: rdcu.be/el0Ka
Cell-type deconvolution methods for spatial transcriptomics - Nature Reviews Genetics
Cell-type deconvolution methods are often needed to analyse spatial transcriptomic data to recover cell-type distributions. In this Review, the authors describe the process of cell-type deconvolution,...
nature.com
We have open Postdoc / PhD student positions in computational pathology and agentic AI, based in 🇩🇪🇪🇺 Ideally with a CS background, but we do 🧡 biologists with self-taught Python and ML skills
🌼 Faites fleurir l'espoir contre le #cancer avec l'Institut Curie ! Tout au long du mois de mars, participez à la campagne #UneJonquilleContreleCancer et devenez acteurs de la lutte contre le #cancer aux côtés de nos équipes 🤝 👉 unejonquillecontrelecancer.fr
🎉 Happy to share our new preprint! Congratulations to Thomas Defard and Alice Blondel for their outstanding work on RNA2seg – a generalist model for cell segmentation in image-based spatial transcriptomics. The work was supervised by Florian Muller (Pasteur) and myself.