Simon F. Nørrelykke

@simonfn.bsky.social

Executive Director, EPFL Center for Imaging | Previously HMS, ETH, Princeton, MPI-PKS, LENS, Niels Bohr Institute, University of Oxford, Aarhus University. https://imaging.epfl.ch

Segmenting individual cells in microscopy is much easier these days thanks to foundation models. Can we use these models for other tasks, such as cell classification? We investigate in our latest work, finding big improvements for object and pixel classification compared to classical approaches.

Evaluation of different methods for pixel classification (top) and object classification (bottom) on the LIVECell dataset. Dark green bars show the F1-Score, which measures the classification / segmentation quality (higher is better), light green bars show the runtimes. Five different settings are compared for each task: Ilastik features + random forest (RF), microSAM embeddings + RF, SAM2 embeddings + RF, and uSAM, SAM2 + attentive probing (DeAP and ObAP). microSAM feature perform best for RF based methods, attentive probing outperforms RF based approaches, but at a much higher runtime.

📢📢 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

The SwissBIAS Annual Meeting is taking place on June 3rd in Bern. Registration deadline: Friday, May 15th, so make sure to secure your spot now! We look forward to seeing you all there for a fantastic day of science, networking, and inspiration. @swissbias.bsky.social tinyurl.com/SwissBIAS2026

SwissBIAS annual meeting 2026

It is the time of the year to make veterans meet new members, discuss to foster feedback on existing activities and promote new initiatives.

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Wrapping up our 4-day microcredential on imaging in the age of IA with Formation Continue UNIL-EPFL 👏 Special thanks to the speakers and industry experts who contributed to making this course both practical and impactful. Looking forward to seeing how these new skills will be applied.

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We opened 4 PhD positions at @humantechnopole.bsky.social together with Polimi (see 👇). My lab offers a PhD project on "Computational Morphogenesis": use state-of-the-art machine learning methods together with realistic simulations to build digital twins of developing tissue. Apply by March 26.

Human Technopole@humantechnopole.bsky.social · 5mo ago

🎓 How can #AI and #datascience unlock new insights into human health? 📊 We’re offering 4 #PhD positions through Polimi’s DADS Programme in the groups of Emanuele Di Angelantonio, Francesca Ieva, @janfunkey.bsky.social and Fernanda Pinheiro. Apply by 26 March 👉 humantechnopole.it/en/news/4-ph...

🚨 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

A major KI initiative to recruit new assistant professors with outstanding proposals in all areas of medicine, biomedicine and public health. We offer an amazing research environment, great colleagues and generous startup packages. Check it out and get working on your applications! (repost please!)

Karolinska Institutet@ki.se · last yr.

Applications are now open! We are recruiting 20 Assistant Professors in a wide range of subject areas. We're looking for early-career researchers with strong scientific merits and future potential. 🔗 All positions: ki.se/en/about-ki/...