🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

We have a fantastic project in collaboration with the best marine biologists studying weird and beautiful critters with EM and deep representation learning. Please, please, please, apply, or send your best students my way!

Getting up to date with my reading. #AIbooksfrom1984

This is awesome! Really looking forward to reading the paper

Today marks my last day UCL and The Alan Turing Institute, where I had the privelege to build my experimental and computational research groups. It's been an adventure made thoroughly enjoyable by the fantastic students, researchers and colleagues at both institutions. #newadventure

I’m very proud that #cellPLATO is published in J Cell Science, A cell migration time-lapse analysis tool that has been a long time in the making. Thanks to Ms.ShanJ @mace_em Shira Eisman Alan Lowe journals.biologists.com/jcs/article/13…

One week left to apply! This is a great opportunity to develop a cutting-edge research program in bioimage analysis and computer vision together with world-leading developmental biology and image-based systems biology pioneers. jobs.uzh.ch/offene-stellen…

Today, accepted European Conference on Computer Vision #ECCV2026 submissions were announced. Hope you made the cut! 🤞 If you did not and your work happens to be on bio image data… consider submitting to BIC! This WS really became a quite useful venue in the past years! bioimagecomputing.com/call-for-paper… Please RT! 🙏

One of my favourite leaving gifts, from a former student, was a limited edition physical copy of their PhD thesis entirely typeset in COMIC SANS

I'm excited to announce that I have joined Chan Zuckerberg Initiative as Director of AI for imaging

Whoop whoop! We are live! 🥳 You can now register for #I2K2024! events.humantechnopole.it/event/1/ 🚨 Due to limited space, we will first accept only those who have previously submitted an abstract or a workshop. Later we will fill the remaining slots with others who signed up until then.

🆕 in CZ #CellxGene Explorer: support for spatial transcriptomics datasets! Learn more below + try it out with one of 400+ curated datasets ​​➡️ bit.ly/3Agi7MX [1/4]

WebAtlas for visualising single cell & spatial data online is out: rdcu.be/dRsKu With Muzlifah Haniffa Tong LI 李彤 Dave Horsfall+co, we aimed to open up sc/spatial data to biologists & clinicians without coding experience/infrastructure. Rambling🧵on why this matters

🚨 Job Alert! Want to help build the next generation of #AI-powered #bioimaging models? At CZI Science, the AI/ML team is building one of the largest computing systems dedicated to nonprofit life science research in the world. boards.greenhouse.io/chanzuckerberg…

📡🧵 Excited to release our preprint: Ultrack: Pushing the Limits of Cell Tracking Across Biological Scales doi.org/10.1101/2024.0… A tour-de-force by Jordão Bragantini, #Ultrack is a versatile, highly accurate, and fast ILP-based cell tracking software for 2D, 3D, and multicolor

Let me introduce: InstanSeg 🦠🔬💻👩‍🔬 This *would* have been a short thread about Thibaut Goldsborough’s PhD work… but he solved too many problems. Now it's a long thread about 2 preprints, a whole new approach to cell segmentation & #opensource software to make it easy to use

I've moved over to Bluesky 🦋

“AI has the potential to revolutionize cell biology, and cell biologists will play an essential role in driving this revolution,” say Ambrose Carr, Jonah Cool, Theofanis Karaletsos, Donghui Li, Alan Lowe, Stephani Otte, and Sandra Schmid. 👀paper: molbiolcell.org/doi/10.1091/mb… /3

🚨🚨 MEGA JOB ALERT 🚨🚨 Independent Group Leader Positions in Computational Biology Human Technopole! Are you ready to start your own lab? Do you know someone who is? Repost this + share with everyone who might want to know about it. Thanks!!! 🙏 More details below... 🧵 1/3

Super excited to share our new method: Context-dependent Identification of Spatial Motifs (CISM)! 🚀 A two-step approach for uncovering fine-scale intercellular modules associated with human disease states from single-cell spatial data. doi.org/10.1101/2025.0… 🧵 1/n