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Reposted by Carlo Manzo

ICFO @icfo.eu · Jul 28

📝 #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

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Carlo Manzo @cmanzo.bsky.social · Jul 22

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!

Quantitative evaluation of methods to analyze motion changes in single-particle experiments - Nature Communications

Muñoz-Gil and colleagues report the results of an open challenge where they benchmarked algorithms for the characterization of motion changes in single-particle tracking. By ranking methods on simulat...

www.nature.com

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Carlo Manzo @cmanzo.bsky.social · Jun 25

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

DeepTrackAI

DeepTrackAI has 16 repositories available. Follow their code on GitHub.

github.com

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Carlo Manzo @cmanzo.bsky.social · Mar 12

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

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Reposted by Carlo Manzo

Gorka Muñoz-Gil @gorkamunoz-gil.bsky.social · Feb 6

🚨 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!🤗

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Carlo Manzo @cmanzo.bsky.social · Feb 3

…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!
⬇️

Giovanni Volpe @giovannivolpe.bsky.social · Feb 3

Curious about deep learning? Want a book that takes you from the basics to cutting-edge AI models?

📘 Deep Learning Crash Course is finally available in early access!

Published by No Starch Press, San Francisco, CA.

👉 nostarch.com/deep-learnin...

#DeepLearning #AI #MachineLearning

DEEP LEARNING CRASH COURSE

A Hands-On, Project-Based Introduction to Artificial Intelligence

by Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, Carlo Manzo, Giovanni Volpe

Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future.

The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo).

This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

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Reposted by Carlo Manzo

Giovanni Volpe @giovannivolpe.bsky.social · Jan 25

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...

Diffusion models for super-resolution microscopy: a tutorial - IOPscienceSearch

Diffusion models for super-resolution microscopy: a tutorial, Bachimanchi, Harshith, Volpe, Giovanni

iopscience.iop.org

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