Virginie Uhlmann

@virginieuhlmann.bsky.social

Assistant Professor in Bioimaging and Data Analysis and Director of the BioVisionCenter at UZH; Research Group Leader at EMBL-EBI. Loves image analysis, mountains, and birds.

📢📢 We are hiring a Bioimage Analyst at the BioVisionCenter! 📢📢 Join our collaboration with the Flow Cytometry Facility and contribute back to the international efforts on open standards for bioimaging data! More information here, reach out if you have any question: jobs.uzh.ch/job-vacancie...

UZH: Bioimage Analyst

The University of Zurich is the largest university in Switzerland and one of the most prominent in Europe. For research purposes the Biovision Center and Flow Cytometry Facility offer services to supp...

jobs.uzh.ch

BIC is back guys 😎 Don't go on your summer holiday before sending us your best bioimage computing papers, submission deadline on July 13!

Anna Foix@afoix.bsky.social · 2mo ago

🔬 One more year! BioImage Computing has been accepted to @eccv.bsky.social 🎉 Show us your work at the intersection of computer vision, ML & biology! Check out our speaker lineup: @arratemunoz.bsky.social, @jakobtroidl.bsky.social & Juliette Griffié 👏 ⏳ Deadline: 13 July ℹ️ www.bioimagecomputing.com

#OME2026 has come to an end—what an inspiring and collaborative few days. Huge thanks to @nfdi4bioimage.bsky.social for documenting the meeting so thoroughly—definitely worth a look back through their posts! But first, enjoy the wrap-up video presented already during the closing session! 🤩

NFDI4BIOIMAGE@nfdi4bioimage.bsky.social · 3mo ago

#OME2026 is coming to an end. It has been a truly welcoming, motivating, and inspiring experience full of intensive exchange and shaped by an exceptionally open and collaborative spirit. Grateful for the many insightful discussions, new connections, and shared ideas. Thank you!

If you missed this because, like me, you were busy at #OME2026, please check it out! @kevinyamauchi.bsky.social and I wrote a thing on how we can all do our part to enable the next generation of microscopy-data-driven biological discoveries. Enjoy the read!

EMBL-EBI@ebi.embl.org · 3mo ago

Sharing imaging data drives discovery🔬 Modern microscopy generates huge imaging datasets but turning this data into biological findings remains a challenge. @virginieuhlmann.bsky.social explains how shared, annotated data is accelerating image analysis and discovery. www.cell.com/patterns/ful...

A significant moment at #OME2026: Thanking Prof. Jason Swedlow, the founder of OME, who shaped this remarkable community work since the beginning of the millenium. His work & leadership were honored - even with a nod to his famous blue shirts by OME's Interim Board, nominated by Jason in Oct '25.

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If you've been wondering what our current obsession with OME-Zarr and lego blocks is about, I have good news for you: the Fractal preprint is out! Thanks to @joelluethi.bsky.social , all co-authors, and the Fractal developers and users community for making this beautiful project a reality ❤️

Joel Lüthi@joelluethi.bsky.social · 5mo ago

We’re excited to share our latest preprint on Fractal: our approach towards FAIR bioimage analysis at scale with OME-Zarr-native workflows. Fractal defines interoperable tasks on OME-Zarr and provides a platform for TB-scale image analysis. (1 / 10🧵) www.biorxiv.org/content/10.6...

🚨 Alarm!!! 🚨 AI/ML course for microscopy image analysis!!! 🧐 In 2026 at Janelia (@hhmijanelia.bsky.social), no tuition, housing and meals provided! Isn’t that borderline unbelievable?!? 20 students, ~14 TAs and lecturers 🗓️ June 4-18 2026 ✍️ Jan 15 2026 ✍️ 🔁 pls!! www.janelia.org/you-janelia/...

Deep Learning for Microscopy Image Analysis

Topics The following will be covered extensively during lectures, exercises, and project work: Image denoising and restoration (fully supervised and self-supervised) Image translation (e.g.,

janelia.org

The new ShapeEmbed deep learning method helps quantify shapes in bioimages 🔬 It learns to encode 2D object outlines into descriptors that are invariant to several geometric transformations. Great for robust cell shape analysis, classification & exploring phenotypes. neurips.cc/virtual/2025...

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We had an amazing OME-NGFF hackathon last week, Wednesday to Friday, following the inspiring OME-NGFF symposium. What a fantastic week! It’s hard to describe how motivating it is to be surrounded by so many talented, curious & friendly people who care deeply about open, FAIR bioimaging data. 1/14 🧵

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📢 Apply now for the first DL@Janelia Bootcamp (June 4–18, 2026)! 2 weeks of hands-on deep learning for microscopy: train models on your own data, Python needed (no ML experience), housing + meals included, no registration fee 📍 Janelia Research Campus, VA 🗓️ Apply by Jan 15, 2026 🔗 shorturl.at/j4sgY

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If you ever used napari in your research, take a moment to read this. Napari, like many other resources in the bioimaging world, is freely available despite the fact that it costs many people much time and efforts to develop and maintain it. Now you get a chance to give back, don't miss it :)

napari@napari.org · 10mo ago

You might have noticed lots of activity in the napari project recently! 🚀 We're grateful for a grant from CZI that's keeping us going, but grants don't last forever: we're trying to figure out sustainable long term funding. Read our blog post to find out how you can help: napari.org/island-dispa...