Saeyslab

⏳ Only two weeks left to apply! Looking to sharpen your skills in computational analysis of cytometry data? Don't miss the chance to join the fourth edition of our Computational Cytometry Summer School! Join us for a week of hands-on workshops, expert-led lectures, and engaging discussions. 👉 Explore the full program and apply here: https://lnkd.in/eJd-_Dxk 📅 10-14 May 2027 📍 Ghent, Belgium ⏰ Application deadline: November 4, 2026 The deadline is approaching, so make sure to submit your application in time! Selected participants will be notified by December 3. We look forward to welcoming you to Ghent!

Thinking about taking your cytometry data analysis skills to the next level? Applications are now open for the 4th Computational Cytometry Summer School, taking place 10-14 May 2027 in Ghent, Belgium. This hands-on program is designed for researchers, data scientists, and professionals who want to deepen their expertise in computational cytometry using R. The week combines focused theoretical sessions with time to work on your own datasets, supported by expert instructors. The program covers the full computational cytometry pipeline: data handling, quality control, batch effect correction, clustering, statistics, and publication-ready figures. Confirmed speakers and trainers include Sarah Bonte, Robbe Fonteyn, Jef Goossenaerts, Givanna P., Katrien Quintelier, Yvan Saeys, Katrien Van der Borght, and Sofie Van Gassen, bringing together expertise from computational biology, cytometry, and hands-on data analysis. Participation is by selection only, and places are limited. 📅 Apply by 7 November 📍 Ghent, Belgium 🗓️ Summer school: 10-14 May 2027 Considering applying? Don’t wait too long! More info and application: https://lnkd.in/eJd-_Dxk

📢 Applications are now open for the fourth edition of our Computational Cytometry Summer School! Whether you're a researcher, data scientist, or clinician working with cytometry data, this event is designed to deepen your understanding of the computational tools for cytometry data analysis. What to expect? 👨💻 Hands-on workshops 🎤 Expert-led lectures, including a guest lecture by Dr Givanna Putri 🤝 Networking with leading scientists in the field 🧠 Open discussions on the latest in cytometry Check out the full program and scroll down to find the "apply here" button: https://lnkd.in/eJd-_Dxk 📅 10th - 14th of May, 2027 📍 Ghent, Belgium ⏳ Application deadline: November 4

🎺 We are hosting a workshop on Dimensionality Reduction for Visualization on August 27th at the VIB in Ghent: https://lnkd.in/gSZ7jbgS 🌟 The full schedule is tentative, but presentations include several leading researchers in this area: Thomas Höllt, Kai Puolamäki, John Lee, Benoît Frénay, Cyril De Bodt, Sebastian Damrich, Dmitry Kobak, Yvan Saeys; from the Universities of Bergen, Helsinki, Namur, Louvain (UCL), Tübingen, Ghent & the VIB. ✍ This event is organized by Yvan Saeys, Dmitry Kobak and me, in the context of the doctoral defense of Edith Heiter on August 28th (info on the same page). Attending is free of charge, but please do register in advance (link on the webpage). IDLab (UGent - imec) - VIB - AIDA-UGent - Saeyslab - Flanders AI Research Program / Vlaams AI Onderzoeksprogramma - Research Foundation Flanders - FWO

CytoBytes hit the CYTO2026 conference floor! 🎤🎥 We took a break from our usual tutorial-style content to film a few short poster presentations from people doing interesting things in data analysis 🔥 🎤 David Rach tells you more about Cytometry in R, a free bioinformatics course for those familiar with flow cytometry, but not with coding: https://lnkd.in/eB2DmY2H 🎤 Luca Leomazzi explains how he's doing a benchmark on batch effect correction tools for cytometry data: https://lnkd.in/eatQ-Amr 🎤 Benjamin de Seingalt, Esq. guides you through the VERIFY framework for responsible GenAI use: https://lnkd.in/eBJhXfnK 🎤 Benjamin L. talks about CompAID, a computational tool using deep learning to uncover unmixing errors in cytometry data: https://lnkd.in/enWJS-a3 🙏 Thanks to everyone who took the time to talk to our conference reporters: Givanna Putri & myself 🎥 🙏 Also, thanks to Laura B Prickett - turns out turning on a microphone is harder than we'd expected 😄 https://lnkd.in/ekHtqZVf

This week, our Spatial Omics subteam could not be missed at #SpatialOmics2026 👀 🎙️ keynote lecture by Yvan Saeys 📊 posters by Karen Herreman, Xander Wieme, Arne Gevaert and Aidana Smagulova on some of the hottest topics in spatial omics today: VisiumHD data analysis, cell-cell communication inference with graph neural networks, and pipelines for spatial multi-omics data analysis We had lots of fun, already looking forward to the next edition!

Still unmixing all the great ideas from #CYTO2026! From baking cytometry cakes with the right ingredients, over poster presentations fresh out of the oven, to the secret recipe for cross-platform data integration 🎙️ The icing on the cake was reconnecting with all our cytometry friends 🧁 Sarah Bonte - Katrien Quintelier - Robbe Fonteyn - Luca Leomazzi

Tomorrow, we're off to #CYTO2026! ✈️ We're looking forward to sharing our work, discovering the latest developments in cytometry, and catching up with colleagues and friends. 👇 Below is where we'll officially be hanging out - but feel free to stop us in the hallways or at the coffee machine too. We're always happy to chat! See you there! 👋 Sarah Bonte 🌴 Katrien Quintelier 🌊 Luca Leomazzi ☀️ Robbe Fonteyn 🦩 Yvan Saeys

🔥 New CytoBytes video - a must-watch if you have 12 minutes to spare on your way to #CYTO2026! Struggling with autofluorescence in your spectral unmixing workflows? In our newest video, Oliver Burton explains how AutoSpectral improves spectral unmixing using per-cell autofluorescence extraction. A promising step forward in spectral unmixing! 🚀 👉 Watch it here: https://lnkd.in/eRNHZizh Want to uncover all the secrets of AutoSpectral? Check out the preprint: https://lnkd.in/eAkERWfK