Carlo Manzo
@cmanzo.bsky.social
Biophysicist & AI enthusiast. Professor at UVic-UCC. Group leader at QuBI lab.
Reposted by Carlo Manzo
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!
https://nostarch.com/deep-learning-crash-course
Every print copy comes with a free Ebook!
November 14, 2025 at 8:00 PM
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!
https://nostarch.com/deep-learning-crash-course
Every print copy comes with a free Ebook!
Reposted by Carlo Manzo
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...
@cmanzo.bsky.social @qubilab.bsky.social @giovannivolpe.bsky.social
doi.org/10.1038/s414...
Enhanced spatial clustering of single-molecule localizations with graph neural networks - Nature Communications
Single-molecule localisation microscopy enables nanoscale mapping of molecular organisation, but clustering stochastic data remains challenging. Here, authors present a graph neural network method tha...
doi.org
November 17, 2025 at 3:05 PM
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...
@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!
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!
November 10, 2025 at 2:46 PM
🎓 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!
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!
Reposted by Carlo Manzo
📝 #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
🔗Results in Nature Communications
Read the full story👉 bit.ly/3IPv9Wc
July 28, 2025 at 10:32 AM
📝 #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
🔗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!
👉 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
July 22, 2025 at 3:55 PM
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!
👉 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
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
June 25, 2025 at 12:53 PM
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
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
GAUDI: Graph Autoencoder Uncovering Descriptive Information⬇️
arxiv.org/abs/2503.05560
March 12, 2025 at 1:08 PM
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
GAUDI: Graph Autoencoder Uncovering Descriptive Information⬇️
arxiv.org/abs/2503.05560
Reposted by Carlo Manzo
🚨 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!🤗
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!🤗
February 6, 2025 at 3:27 PM
🚨 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!🤗
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!
⬇️
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!
⬇️
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 is finally available in early access!
Published by No Starch Press, San Francisco, CA.
👉 nostarch.com/deep-learnin...
#DeepLearning #AI #MachineLearning
February 3, 2025 at 5:42 PM
…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!
⬇️
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!
⬇️
Reposted by Carlo Manzo
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...
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
January 25, 2025 at 2:33 PM
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...
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...