Francesco Pasqualini
@fspasqualini
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Harvard-trained bioengineer, ERC-funded principal investigator in Pavia, Italy. All opinions are my own. He/Him. @[email protected]
Milan, Lombardy
Joined February 2018
🚀 CALIPERS v2 preprint is locked—journal submission next. Final polish, more hiPSC reference lines, and fresh light-sheet data. Still, a great collaboration led by @moisesdisante with the team @LabPhysiology and the amazing @berteroale and @florianjug group members!
biorxiv.org
Cell cycle progression, migration, and proliferation shape development and regeneration, but simultaneous live-cell imaging remains challenging as conventional fluorescent cell cycle indicators...
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📣Announcing the 4th edition of the EMBL‑IBEC Conference on “Engineering Multicellular Systems”, taking place 11–13 March 2026 in Barcelona. Exploring organoids, mechanobiology, embryo models, organ-on-chip systems, multiomics and more. Abstracts open now! https://t.co/xZhuYMl5cW
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🚀 Symposium Announcement — TERMIS-EU 2026 (Palma de Mallorca, May 2026) Every tissue-engineered construct tells a story — but most of it happens too fast for us to see. Join Janna Nawroth and me at our accepted symposium: “Cellular dynamics in tissue-engineered interfaces.”
eu2026.termis.org
Discover all the information about Abstracts submission of Termis-EU 2026.
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https://t.co/SJuMUlhTEi Discorso fatto al Senato della Repubblica in occasione dell'evento Sati della Ricerca Medico-Scientifica in Italia Grazie alla Vicepresidente Senatrice @MariaDomenicaC4 per l'invito a parlare e ai colleghi "giovani ricercatori" Donato Giovannelli e
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A protocol for the robust generation of human #gastruloids, an important optimization needed by the field. This is not only a #protocol but also a reasoning behind it and a study of the initial conditions https://t.co/d4fSeaNmZ4
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Here's the link to the system, try it! https://t.co/XS5o6Wsf9F
@qedScience
qedscience.com
Critical Thinking AI for constructive criticism and science evaluation
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15 years in the making, we confirmed that mitochondria -the powerhouse of the cell- have an unusual localization in patients who experience psychosis (including schizophrenia and bipolar disorders). You’ll never guess what kind of patient cells we used to make this discovery...🧵
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Here's the BiorXiv: https://t.co/lvOHtQBQq5 If you have FUCCI data: please download the model weights from Zenodo (preview link in preprint), check the related scripts on GitHub ( https://t.co/Ap3ui5QIRL) and tell us how the network works on your data.
github.com
Tools to use deep learning for FUCCI segmentation. Contribute to Synthetic-Physiology-Lab/DeepFUCCI development by creating an account on GitHub.
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The high accuracy of our networks enables reliable tracking. Through our fucciphase package, we estimated the cell cycle percentage. We used HT1080 cells and found that some of them stay much longer in the G1-phase than others. We found a metric that can be used to detect this.
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When we are multiplexing, the FUCCI signal can be influenced by spectral overlap. Then, thresholding intensities for cell cycle classification doesn't work. We trained dedicated networks to solve this task. Even the tubulin-only network can identify phases to some extent!
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🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗 https://t.co/F3ElzePkCo
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Recap: The FUCCI sensor indicates the cell cycle phase in two colors. Pre-trained networks like StarDist or Cellpose support only one input channel. So, we trained custom networks with multiple input channels to directly segment the unprocessed FUCCI signal.
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Light sheet data coming along for this …
1/2 pre-prints to end the year! @LabPhysiology is happy to present *CALIPERS: Cell cycle-Aware Live Imaging for Phenotyping Experiments and Regeneration Studies* led by @moisesdisante and in collaboration with the amazing @berteroale and @florianjug labs
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Our framework: We integrated multiplexable fluorescence reporters, engineered ECM islands with pattern-aware live imaging, with CC-aware dynamics to explore phenotypes under confinement
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CALIPERS multiplexes the FUCCI signal with other reporters. E.g., a tubulin reporter showing the nucleus when the FUCCI intensity is dim. So, we trained the networks not only on the FUCCI signal. Result: good segmentation accuracy also at low SNR (where other solutions struggle).
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And as promised here is the last piece (for now) of our journey in integrating the cell cycle with other phenotypic measurements - tnx to post-doc @JuliusZmmrmnn at @LabPhysiology @unipv
Another part of our work on the FUCCI sensor is out on BioRxiv: a deep-learning workflow for our multiplexed CALIPERS technology. We use custom-trained networks to segment and classify nuclei. We track the nuclei through the cell cycle and assign a cell cycle percentage.
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Another part of our work on the FUCCI sensor is out on BioRxiv: a deep-learning workflow for our multiplexed CALIPERS technology. We use custom-trained networks to segment and classify nuclei. We track the nuclei through the cell cycle and assign a cell cycle percentage.
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From muscular pumps to swimmer mechanics—physics × biology × engineering. On Oct 6, 2025, @unipv hosts Prof. @Kkitparker (Piola Lecture): “Biohybrid Robotics: Adventures in Building with Materials that are Alive.” Dalle pompe muscolari alla meccanica dei nuotatori—fisica ×
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Another 1st-author submission fro the PhD student in the group after @eloisa_torchia's #hydra paper (peer-review news soon...) #ProudPI
First preprint as 1st author with @LabPhysiology out! The team and I are pleased to present: "A Vertically Integrated System for Tracking and Assessing cell-cycle aware phenotypes under confinement"
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Normal vs. Abnormal: Confinement compacts cytoskeletal organization and alters CC-fidelity towards extended G1 phase. Longitudinal dynamics separate normal and abnormal cycling. Static snapshots can mislead: time series are required
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