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...