🎓 PhD position open! Fully funded four-year PhD project at UVic-UCC @qubilab.bsky.social in collaboration with @giovannivolpe.bsky.social in physics-informed AI and single-molecule dynamics. 📄 The official call (currently in Catalan): 🔗 www.uvic.cat/sites/defaul... ✉️Feel free to get in touch!

📝 #AndiChallenge global competition puts tools for single-molecule motion analysis to the test, highlighting both the current strengths and the pressing challenges in this rapidly advancing field. 🔗Results in Nature Communications Read the full story👉 bit.ly/3IPv9Wc

After more than 3 years, our journey with the 2nd AnDi Challenge has reached an exciting milestone: our work is now published in @natcomms.nature.com ! 👉 www.nature.com/articles/s41... Huge thanks to @gorkamunoz-gil.bsky.social, @giovannivolpe.bsky.social and to all participants of the Challenge!

Just arrived in Madrid for the congress of SBE🔬! This Friday morning, I’ll be talking about using Graph Neural Networks for microscopy 🤖 and sharing some tools we’ve built with deeptrackAI. If you're into SPT, SMLM, and AI, come by and say hi! 💻 github.com/DeepTrackAI 🧪 sbe2025.com

Interested in the unsupervised analysis of complex systems with graph neural networks? 👾Check our latest preprint about GAUDI: Graph Autoencoder Uncovering Descriptive Information⬇️ arxiv.org/abs/2503.05560

🚨 Incoming workshop 🚨 AnDi+: AI for Bioimaging Beyond Trajectory Analysis About? All the results of the AnDi 2 Challenge but also other AI approaches to Bioimage Analysis🔎! 🌎 University of Gothenburg, Sweden 📆 June 2-5, 2025 All info here: tinyurl.com/4wrfb2k4 Help us spread the word!🤗

…all fun things must come to an end… After 4 long years, it’s finally out (early access for now). Can’t wait to hold a paper copy in my hands or spot it on a bookstore shelf! ⬇️

Excited to announce the publication of "Diffusion models for super-resolution microscopy" in JPhysPhoton! Work led by @harshithb.bsky.social with a step-by-step guide to building diffusion models to transform microscopy images from low- to high-resolution. iopscience.iop.org/article/10.1...