Feliç #SantJordi! 🌹📚 Si voleu regalar un llibre una mica menys convencional, aquí teniu una idea: nostarch.com/deep-learnin... Probablement no és per a tothom. Probablement és bastant per a nèrds. I precisament per això pot ser el regal perfecte. 🤓 #IA #DeepLearning @nostarchpress.bsky.social

Yesterday we celebrated #BiophysicsWeek at @uvic-ucc.cat! Dr. Maria Guix showed how #nanorobots can navigate inside the body to deliver drugs or perform precise diagnostics... a glimpse into the future of medicine! @sbesp.bsky.social @biophysicalsoc.bsky.social @qubilab.bsky.social

🚀 Applications are open for the AIM-Net Deep Learning Summer School 2026! 📍 La Ràpita (Spain) 📅 June 2–6, 2026 A hands-on school for Master’s, PhD students & early-career researchers 🔬 Learn DL fundamentals 🧪 Work with real data 🤝 Interact with experts 👉 aim-net.net/eventos/aim-...

🎅 Santa came early this year! Author copies of Deep Learning Crash Course📘 @nostarchpress.bsky.social and the Ramón y Cajal insignia🇪🇸 Two milestones, one goal: sharing knowledge. Grateful to students, collaborators, mentors, and institutions. Excited for what’s next. 📚 nostarch.com/deep-learnin...

🌟 Our paper in the 𝐄𝐝𝐢𝐭𝐨𝐫𝐬’ 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐢𝐧 𝐍𝐚𝐭𝐮𝐫𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🥳 🔗 www.nature.com/collections/... Thank you to @qchengx1e3.bsky.social, to co-authors @giovannivolpe.bsky.social, Sergi Masó, Mattias Goksör, Montse Masoliver, Joan Bertran and especially to Jesús Pineda!

🚀 #PhD opening (FPI call, AEI) Develop physics-informed #AI for single-molecule fluorescence microscopy. Work with @qubilab.bsky.social + @giovannivolpe.bsky.social. Start: March 2026 Deadline: Jan 7, 2026. Contact: @cmanzo.bsky.social

Modern AI feels easier when you build each model yourself. This book shows you how. https://nostarch.com/deep-learning-crash-course Every print copy comes with a free Ebook!

MIRO is a graph neural network method that enhances spatial clustering for single-molecule localisation microscopy datasets. #BiotechNatureComms @cmanzo.bsky.social @qubilab.bsky.social @giovannivolpe.bsky.social doi.org/10.1038/s414...

🎓 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...