MOSAIC Group / Sbalzarini Lab

Our work @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de @scadsai.bsky.social fuses representation learning with spatial statistics @iclr-conf.bsky.social enabling #AI for spatial localization patterns: openreview.net/forum?id=09Y...

Robust variable selection for spatial point processes observed with noise We propose a method for variable selection in the intensity function of spatial point processes that combines sparsity-promoting estimation with noise-robust model selection. As high-resolution spatia...

Modeling spatial point patterns from noisy, incomplete experimental data just got easier! Great work by @domsturm.bsky.social for sparse, noise-robust model inference of point processes 🤩 @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de Preprint out now: arxiv.org/abs/2510.25550

GitHub - abhinavsns/topospam: Topological Simulation Platform for Active Matter Topological Simulation Platform for Active Matter. Contribute to abhinavsns/topospam development by creating an account on GitHub.

GitHub: github.com/abhinavsns/T...

Software page: topospam.org

TopoSPAM: Topology grounded Simulation Platform for morphogenesis and biological Active Matter We present a topology grounded, multiscale simulation platform for morphogenesis and biological active matter. Morphogenesis and biological active matter represent keystone problems in biology with ad...

🤩👍🏼💪🏼 Meet #TopoSPAM - a high-performance simulation platform for biological morphogenesis with a friendly Python interface. @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de. Solve both continuous and discrete active mechanics! Released today: arxiv.org/abs/2509.24905

Congratulations! Beautiful work!!!

🤩🤩🤩Absolutely thrilled our work is featured in the Magazine of @maxplanck.de ! Big thanks to the writer and editor 🙏🙏🙏 Never saw our work described so well! Curious? @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de - PDF is freely available, article starts p.36: www.mpg.de/25430399/MPR...

An Overview of Meshfree Collocation Methods We provide a comprehensive overview of meshfree collocation methods for numerically approximating differential operators on continuously labeled unstructured point clouds. Meshfree collocation methods...

In a beautiful team effort, we wrote a comprehensive review of meshfree collocation methods for numerically solving PDEs @csbdresden.bsky.social @uni.lu #CVUTPrague @tudresden.bsky.social Preprint out now: arxiv.org/abs/2509.20056

It was a pleasure to speak at #BuildingBridges2025. Germany, Poland, Hungary, and Lithuania - together in one session on #Biomedical #AI. Great also to meet so many friends again!

Big thanks to the organizers for inviting me! 🙏🙏🙏🙏

@hzdr.bsky.social
@tudresden.bsky.social

🙏 Very honored to speak at #BuildingBridges2025 on #AI for #Biomedicine. What an amazing lineup of panelists 🤩🤩🤩 Politics and Science working together- Germany, Lithuania, Czech Republic, Poland - together for future #AI 👍🏼 @hzdr.bsky.social @csbdresden.bsky.social

Looking forward to present on the topic of AI for Biomedicine tomorrow!

Photo of a well-attended event room during a lecture at the GAIN Conference 2024.

#GoGAIN25: 🌎 From August 29 to 31, #TUDresden will be in #Boston with @daadworldwide.bsky.social, @humboldt-foundation.de & @dfg.de, presenting a series of talks & hosting a booth to showcase our University of Excellence & the city of Dresden as a hub for science. 🧑‍🔬
ℹ️ tu-dresden.de/internationa...

This👇is fantastic work! Congratulations @loicaroyer.bsky.social and team!!

#GenAI meets perception psychology for better super-resolution microscopy 🤩 Fig.1 says it all! 😎 Fantastic collaboration with @casusscience.bsky.social - work of @zuseschoolsecai.bsky.social students @csbdresden.bsky.social - out now onlinelibrary.wiley.com/doi/10.1002/...

On the Computational Power of Particle Methods We investigate the computational power of particle methods, a well-established class of algorit hms with applications in scientific computing and computer simulation. The computational power of a comp...

🚨Fundamental computer science result! 🤩🤩🤩 Particle Methods, a class of algorithms, can compute anything that is computable, even when severely resource restricted ‼️‼️Formally proven result @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de now out: fi.episciences.org/16055

From left to right: Justina Stark, Ivo Sbalzarini and Michael Brand.

To learn more about the people behind this work, we caught up with first author Justina Stark, and corresponding authors Ivo Sbalzarini (@mosaicgroup.bsky.social @csbdresden.bsky.social) and Michael Brand (@tudresden.bsky.social):
journals.biologists.com/dev/article/...

Read the #OpenAccess Research Article "Morphogen gradients are regulated by porous media characteristics of the developing tissue" here:
journals.biologists.com/dev/article/...

Thanks for the highlight @dev-journal.bsky.social !! 🙏🙏🙏

Tagging @mpi-cbg.de @poldresden.bsky.social

Sbalzarini Lab / Software / Image Based Modeling / reactionDiffusion_imageBased_porousMedia · GitLab Image-based pipeline for solving inhomogeneous reaction-diffusion PDEs in real-world porous geometries. Level-set method (multi-CPU) for reconstruction. Sparse grids (multi-GPU) for diffusion simulati...

👍🏼 And as always, our code is freely available! git.mpi-cbg.de/mosaic/softw...

The people behind the papers – Justina Stark, Ivo Sbalzarini and Michael Brand Morphogens are secreted from a local source and form long-range gradients. Existing computational models to study morphogen gradients typically simplify the tissue geometry. In a new study, Justina St...

🙏🙏🙏 Big thanks and congratulations to our PhD student Justina Stark who drove this successful interdisciplinary collaboration. This was highlighted by the journal in an interview: journals.biologists.com/dev/article/...

Morphogen gradients are regulated by porous media characteristics of the developing tissue Summary: Image-based 3D modeling of pore-scale extracellular space geometries of the developing zebrafish embryo reveals that the Fgf8a morphogen gradient is regulated by the porous media characterist...

⚡️Advanced Computing ❤️ laboratory experiments ➡️ an unbeatable combination to unlock the secrets of biology! Together with the Brand lab @tudresden.bsky.social we @csbdresden.bsky.social discovered a simple mechanism how tissue geometry controls growth: journals.biologists.com/dev/article/...

Integrating Odeint Time Stepping into OpenFPM for Distributed and GPU Accelerated Numerical Solvers We present a software implementation integrating the time-integration library Odeint from Boost with the OpenFPM framework for scalable scientific computing. This enables compact and scalable codes fo...

Our scientific computing framework #OpenFPM now has multistage and adaptive time integrators that scale to distributed CPU clusters and GPUs! Happy supercomputing! @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de preprint: arxiv.org/abs/2309.05331

🔥🔥🔥Unique opportunity! We are looking for a new Max Planck Director in Biomedical #AI. Max Planck Research Directors enjoy unparalleled freedom and resources. And the best: you’d get to work with us here at the @csbdresden.bsky.social in the heart of the vibrant @tudresden.bsky.social AI campus!

Formeln des Lebens Künstliche Intelligenz mit physikalischem Vorwissen soll biologische Vorgänge berechenbar machen

Formulas of Life: article of the @maxplanck.de on the research of Ivo Sbalzarini @mosaicgroup.bsky.social. Article in German language: www.mpg.de/24841408/ki-...

Wie kann Künstliche Intelligenz in der Biomedizin helfen? Biologie und Medizin sind eng verknüpft. Künstliche Intelligenz kann dabei in vielen Fragen helfen. Was ist zu beachten?

Ivo Sbalzarini was interviewed by German science radio @detektorfm.bsky.social and explains our research @csbdresden.bsky.social @mpi-cbg.de @tudresden.bsky.social to a general audience (in German only):

detektor.fm/wissen/forsc...

🔥Just out @EGPGV’25: Parallel visualization of distributed volume data for non-convex decompositions! @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de And the best: code is contributed upstream 🤩 diglib.eg.org/items/3aed38...

Fantastic! 🤩 Best success ever for our university!! This is going to enable sooooo much cool new research in the coming years. The sky is the limit!

Proud and happy our group could be involved in this. Congratulations, Roua!

APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microsco...

Joel Jonsson, Bevan Leslie Cheeseman, Ivo Sbalzarini

Action editor: Moshe Eliasof

https://openreview.net/forum?id=5qKI2dkrjL

#cnn #cnns #microscopy

It was great hosting and meeting Sophie Jaffard @csbdresden.bsky.social @tudresden.bsky.social. We look forward to many more discussions on the mathematics of neural networks in neuroscience and in machine learning!