MOSAIC Group
@MOSAICgroup1
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The MOSAIC Group does research in scientific computing for image-based systems biology. Tweets by Ivo Sbalzarini.
MPI-CBG, Dresden, Germany
Joined November 2011
🧬🔬🧪 🎉 Our team at @czbiohub is thrilled to share TWO companion papers out today in @NatureMethods! 📦 Ultrack — robust, scalable nD cell tracking 🌐 inTRACKtive — a beautiful, open-source web viewer for lineage exploration Let’s dive in! 👇 (LINKS BELOW)
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#GenAI meets perception psychology for better super-resolution microscopy 🤩 Fig.1 says it all! 😎 Fantastic collaboration with @CASUSscience - work of @SECAI_School students @csbdresden - out now
onlinelibrary.wiley.com
A generative AI model for super-resolution microscopy images is presented. Super-resolution microscopy provides high spatial detail at the expense of lower time resolution. Using it for live samples...
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🚨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 @imprs_mpicbg @mpicbg now out:
fi.episciences.org
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...
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⚡ Our mini Higgs boson moment! In 2021, our 3D digital twin predicted left-right polarity oscillations in confined active fluids. 2025 -> experiments confirmed it. From theory to reality: simulation meets evidence. 📄 Theory: https://t.co/sndpGUd5qK 📄 Experiment:
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@MOSAICgroup1 @CRTDpress To learn more about the people behind this work, we caught up with first author Justina Stark, and corresponding authors Ivo Sbalzarini (@MOSAICgroup1 @csbdresden) and Michael Brand (@CRTDpress): https://t.co/KSroamNcSN
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@MOSAICgroup1 @CRTDpress Read the #OpenAccess Research Article "Morphogen gradients are regulated by porous media characteristics of the developing tissue" here: https://t.co/LeicFesU94
journals.biologists.com
Highlighted Article: 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...
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Thanks for the highlight @Dev_journal !! 🙏
Mind the pores: studying morphogen gradients Read this Research Highlight showcasing work from Justina Stark, Rohit Krishnan Harish, Ivo Sbalzarini @MOSAICgroup1 and Michael Brand @CRTDpress: https://t.co/xS6E0af2q0
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👍🏼 And as always, our code is freely available!
git.mpi-cbg.de
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...
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🙏🙏🙏 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
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...
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⚡️Advanced Computing ❤️ laboratory experiments ➡️ an unbeatable combination to unlock the secrets of biology! Together with the Brand lab @CRTDpress we @csbdresden discovered a simple mechanism how tissue geometry controls growth:
journals.biologists.com
Highlighted Article: 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...
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Our scientific computing framework #OpenFPM now has multistage and adaptive time integrators that scale to distributed CPU clusters and GPUs! Happy supercomputing! @Abhinavsns @csbdresden preprint:
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🔥🔥🔥Unique opportunity! We are looking for a 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 in the vibrant Dresden AI campus!
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Science at PoL is evolving following our renewal by the DFG @dfg_public. Our new research goals are highlighted through 7 interwoven Research Avenues (RAs), each exploring a key biological question. Keep an eye out for our posts highlighting each RA, starting tomorrow! 🤓🧬
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Ivo Sbalzarini was interviewed by German science radio #detektor.fm and explains our #AI research (in German): Forschungsquartett | KI und Biomedizin – Wie kann Künstliche Intelligenz in der Biomedizin helfen?
detektor.fm
Biologie und Medizin sind eng verknüpft. Künstliche Intelligenz kann dabei in vielen Fragen helfen. Was ist zu beachten?
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🔥Just out #EGPGV’25: Parallel visualization of distributed volume data for non-convex decompositions! @csbdresden @mpicbg And the best: code is available for upstream 🤩
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It never ceases to amaze me how much information we can get just by looking at the gradients in super-resolution #BioImageAnalysis #AI #GenAI Kudos Ivo F. Sbalzarini and the group! @MOSAICgroup1 @mpicbg @HZDR_Dresden @CASUSscience @helmholtz_ai
onlinelibrary.wiley.com
A generative AI model for super-resolution microscopy images is presented. Super-resolution microscopy provides high spatial detail at the expense of lower time resolution. Using it for live samples...
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We did it! 😀🎉 🍾🥂 Our Excellence Cluster Physics of Life (@PoLDresden) got renewed until 2032! I am so proud of our team and all the great work we did to achieve this. At a personal level, I am really happy that the enormous effort that went into this process was successful,
Great news! 🎉 Our Cluster of Excellence Physics of Life has been renewed for a second funding phase (2026-2032) by @dfg_public! Thanks to everyone who made this possible! 👏 We're thrilled to continue our cutting-edge #research towards understanding what brings matter to life!
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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://t.co/JKXq3ONSO6
#cnn #cnns #microscopy
openreview.net
We present APR-CNN, a novel class of convolutional neural networks designed for efficient and scalable three-dimensional microscopy image analysis. APR-CNNs operate natively on a sparse...
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Exciting opportunity at @CZBiohub SF! Join us as an Optical Scientist developing cutting-edge light-sheet microscopy to map vertebrate development. PhD in Optics/EE/Physics preferred. #ScienceJobs #Microscopy #BioImaging 🧪🔬💻 https://t.co/OT8hoogPdt
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If you are interested in commercial support for this technology, contact Joel and Bevan at Dataflight:
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