A central result: cadherin-dependent adhesion contributes significantly to cell-cell tension in C. elegans, with a highly non-linear, Hill-like dependence. Adhesion is not just a small correction to contractility.

Inside the eggshell, the model predicts morphogenesis quantitatively: anterior compaction is driven by rising cell-medium tension, while P2’s early exclusion reflects high cell-cell contact tension. 5/6

To calibrate inferred tensions, we combined AFM measurements with cortical myosin intensity. AB-lineage cells are more tense than P-lineage cells, and tension rises dynamically through the cell cycle. 4/6

We combined live imaging, contact-angle measurements and tension inference to reconstruct relative surface tensions, then used a 3D active foam model to predict embryo shape over time. 3/6

The early C. elegans embryo is not mechanically uniform. Removing the eggshell, one can observe that at the 4-cell stage, ABa, ABp and EMS compact together, while P2 initially remains partly excluded — revealing dynamic, lineage-specific mechanics. 2/6

Very happy to have this work finally published! How do embryos sculpt their shape? We map the contractile & adhesive forces shaping early C. elegans embryos. With K. Yamamoto @ittoku04.bsky.social G. Charras' lab @gcharras.bsky.social & my team @turlierlab.bsky.social shorturl.at/xv7G5 1/6

Great scientific times with @bimidu.bsky.social at @columbiauniversity.bsky.social. Many thanks for your warm welcome and inspiring chats. Looking forward to more interactions!

A real computational tour de force by @ericneiva.bsky.social, carried out as Marie Skłodowska-Curie postdoctoral fellow in the team, now published in the Journal of Computational Physics: urlr.me/AuzK86 Congratulations, Eric! @cnrsbiologie.bsky.social Grateful to @ec.europa.eu for funding support

Beyond synthetic benchmarks, we show applications to mechanical parameter inference from microscopy images and to inverse design problems in epithelial tissues. 4/5

We benchmark three strategies for bilevel optimization in vertex models: automatic differentiation, implicit differentiation, and equilibrium propagation. This gives a practical comparison of their accuracy, speed, and memory trade-offs. 3/5

How can we learn tissue mechanics directly from cell patterns and images? In our new preprint, we introduce VertAX, a differentiable vertex-model framework in JAX for simulating epithelia, inferring parameters, and designing target tissue behaviors. shorturl.at/PUzT0 1/5

Excited to start a new chapter with my team’s relocation to the Pink City, at @cbitoulouse.bsky.social! Looking forward to new scientific interactions on campus (@laas, LPT, IRIT, ANITI…) at the interface of biology, physics & computational science. @cnrsbiologie.bsky.social @occitanie.bsky.social

How does a ball of cells become an embryo? Genes matter—but physics (forces, geometry, topology) drives self-organization. Hervé Turlier's research vision on the physics of embryogenesis👇 shorturl.at/761x9 #Embryogenesis #Biophysics #Morphogenesis @college-de-france.fr @cnrsbiologie.bsky.social

Our first paper submitted to the International Conference on Computer Vision @iccv.bsky.social has been accepted! 🎉 Huge congratulations to all co-authors — Sacha Ichbiah, Anshuman Sinha, and Fabrice Delbary — for their fantastic work. Stay tuned… we’ll share more about deltaMic in a few days!

Great time with @sugimuralab.bsky.social, Shuji Ishihara and colleagues at Tokyo University 🇯🇵. Thank you for your very kind welcome and great scientific discussions 🙂

Very excited to share a new preprint by @ericneiva.bsky.social who developed a first-of-its-kind finite element method for simulating 3D cellular dynamics with coupled surface–bulk flows and signaling. A technical tour de force with broad applications in mechanobiology & beyond tinyurl.com/bdfhfke3