Anna Foix

Don’t miss Elena’s (from @ilastik-team.bsky.social lab) brilliant work @ #ICCV2025 with @anwaiarchit.bsky.social & @cppape.bsky.social poster 292 @ 11:15AM 🔬They tackle segmentation of massive 3D microscopy images & show how BatchRenorm removes tiling artifacts boosting transferability and clarity🌺

Don’t miss Elena’s (from @ilastik-team.bsky.social lab) brilliant work @ #ICCV2025 with @anwaiarchit.bsky.social & @cppape.bsky.social poster 292 @ 11:15AM 🔬They tackle segmentation of massive 3D microscopy images & show how BatchRenorm removes tiling artifacts boosting transferability and clarity🌺

Attending BISCUIT workshop at #ICCV2025 🌺 — the first talk by @mariavak.bsky.social on quantifying biases in foundation models was fantastic! Exciting to see interdisciplinary efforts focused not just on prediction but on understanding why — and ViTs seem to be the trend in biomedical vision 👩‍💻

BioImage Computing a truly interdisciplinary workshop

We’ll be presenting at the #BIC workshop at @iccv.bsky.social! This year’s BIC has amazing speakers 🌺 — join us on 19 October at the Honolulu Convention Center to explore cutting-edge methods at the intersection of computer vision and biology 🔬 #ICCV2025 More details: www.bioimagecomputing.com

We’ve upgraded ShapeEmbed 🎉 ShapeEmbedLite decodes latent codes via an MLP to guarantee valid EDMs, making it lighter and ideal for small microscopy datasets or limited compute. Hear more at my BIC workshop talk or poster at #ICCV2025! Try it out at github.com/uhlmanngroup...

Thanks to @alex-krull.bsky.social and @unibirmingham.bsky.social for supporting the interdisciplinary workshop between computer vision and biology, and for helping us secure a space in computer science venues 🔬👩‍💻 Looking forward to hearing all the contributors and seeing their posters! #ICCV25

Thank you, @afoix.bsky.social!
I am really happy I could be part of this one. Everybody, please enjoy the new ShapeEmbeding goodness!

BioImage Computing a truly interdisciplinary workshop

We’ll be presenting at the #BIC workshop at @iccv.bsky.social! This year’s BIC has amazing speakers 🌺 — join us on 19 October at the Honolulu Convention Center to explore cutting-edge methods at the intersection of computer vision and biology 🔬 #ICCV2025 More details: www.bioimagecomputing.com

We’ve upgraded ShapeEmbed 🎉 ShapeEmbedLite decodes latent codes via an MLP to guarantee valid EDMs, making it lighter and ideal for small microscopy datasets or limited compute. Hear more at my BIC workshop talk or poster at #ICCV2025! Try it out at github.com/uhlmanngroup...

Also don’t miss:
🧬👯 @epetsalaki.bsky.social’s talk “From Data to Digital Twins” (Wed, Digital Twin Models)

📊🧬 My poster P03.14 – Towards Data-Driven Executable Models (Wed)

🧩🤖 @alussana.bsky.social’s poster P18.13 – Data-Driven Inference of Functionally Coherent Gene Modules (Mon)

Happy to share that ShapeEmbed has been accepted at @neuripsconf.bsky.social 🎉 SE is self-supervised framework to encode 2D contours from microscopy & natural images into a latent representation invariant to translation, scaling, rotation, reflection & point indexing
📄 arxiv.org/pdf/2507.01009 (1/N)

Thank you @zaminiqbal.bsky.social and for all your orevious encouraging! I am sure is going amazing in Bath!

Thrilled to be speaking at #CBIAS2025! 🥳
CBIAS has been my scientific home since the beginning of my PhD, providing a welcoming space for early-career researchers. This year feels extra special, as I’ll be presenting my work in the final year of my PhD.
Join us if you get the chance! 😃

@alex-krull.bsky.social thanks for be such an inspiration and huge support during our journey, more to come together 😄!

I couldn't have asked for a better supervisor, inspiration and support. ShapeEmbed is the proof that science is better when you have team work 👩‍💻👩‍💻 thanks @virginieuhlmann.bsky.social

A huge thank you 💙 to my supervisor @virginieuhlmann.bsky.social, my co-advisor @alex-krull.bsky.social and my colleague Craig Russell who shared feedback and ideas. And to the community already using ShapeEmbed — it’s inspiring to see it applied in different biological contexts! (N/N)

Why is ShapeEmbed useful in your research? It can extract shape descriptors to distinguish cell phenotypes and reveal drug-condition induced changes through clustering and latent-space exploration, offering a powerful tool for biological shape analysis. (5/N)

On top of all of this, the latent space learned by ShapeEmbed is generative: it can be used to generate shapes and compute meaningful shape averages and trajectories, enabling data exploration & visualization—which are useful for both discovery and hypothesis testing. (4/N)

ShapeEmbed is performant even with very limited data — a huge advantage in biological context where images are scarce and may be costly to acquire. Small microscopy sets are enough to learn useful shape descriptors. (3/N)

ShapeEmbed encodes Euclidean distance matrices relying on a novel encoder design and a new indexation-invariant loss. Through this, it learns highly-informative shape features that surpass classical approaches and current SotA learning methods. (2/N)

Happy to share that ShapeEmbed has been accepted at @neuripsconf.bsky.social 🎉 SE is self-supervised framework to encode 2D contours from microscopy & natural images into a latent representation invariant to translation, scaling, rotation, reflection & point indexing
📄 arxiv.org/pdf/2507.01009 (1/N)

ShapeEmbed encodes Euclidean distance matrices relying on a novel encoder design and a new indexation-invariant loss. Through this, it learns highly-informative shape features that surpass classical approaches and current SotA learning methods.

Thanks for all the trainers and attendees on this course, which was a lot of fun to run, and hopefully filled a gap in genomics/modelling training

And especially co-organisers @leonielorenz.bsky.social @sonjalehtinen.bsky.social Joel Hellewell

It’s crucial that the bioimage community joins spaces long dominated by computer vision/CS to highlight challenges in microscopy data and how we tackle them. Brilliant talk from @aafkegros.bsky.social showing how biology is both exciting and challenging👩🏻‍💻🔬🧬🦠 #bioimage #microscopy #interdisciplinary

a man with his arms crossed is smiling and saying noice ! ALT: a man with his arms crossed is smiling and saying noice !

The abstract submission deadline for #CBIAS2025 has just closed and, for the first time, we have a near perfect gender-balance in our abstract submissions.

In fact, we have slightly more submissions from women than men.

Comic. A snake slithers around a hypercube. No two non-consecutive parts of its coils can be on adjacent corners. [Three small 4-dimensional hypercubes showing disallowed options with one large cube with snake wrapped around it. Dimensions = 4. Max Length - 7.] Snake(N) = Longest snake that can fit in an n-dimensional hypercube. Snake(N=1, 2, 3…8) = 1, 2, 4, 7, 13, 26, 50, 98. Snake(N>8) = UNSOLVED. [caption] It turns out every scientific field has a key thought experiment that involves putting a cute animal in a weird box for no reason. So far, quantum mechanics and graph theory have found theirs, but most other fields are still working on it.

Snake-in-the-Box Problem

xkcd.com/3125/

"i asked grok" "i asked chatgpt" yeah well i asked carl sagan and he said the greatest enemy of knowledge is not ignorance but the illusion of knowledge 🧪

Can robots in a swarm act like the cells of an organism? Thanks to Sedeer El-Showk for the new article in @nature.com, which highlights the work of a number of research groups, including our own, on how “Robots demonstrate principles of collective intelligence”. www.nature.com/articles/d41...

🔬API-first feature extraction for image-based profiling workflows

If you need to obtain interpretable features from your segmented microscopy images, but want to do it in a fully automated way, we know the struggle.

1/6

YouTube video by Universität Zürich Bioimaging | UZH Research Spotlight

And just like that @katharinaweins.bsky.social and Elvira Isenring managed to make us look cooler than we'll ever be:
www.youtube.com/watch?v=8t8R...