What would Plato say about systems biology? In his Allegory of the Cave, prisoners can only see shadows on a wall and so they have a distorted reality. Also our measurements of genes, RNAs, proteins & metabolites are the shadows, not the reality of the complex biological systems.
🗨️ WANNA TALK TO YOUR CELLS? Try out CellWhisperer – our new multimodal AI that turns single-cell RNA-seq analysis into a conversation. No coding needed, just chat in plain English. Short walkthrough below. Web app & bioRxiv preprint linked in the thread. Let's dive in! (1/9)
Are you ready to apply deep learning-based methods to your data and image analysis problems? If you've already trained a network in your own code, this is for you! #EMBLDeepLearning
🗓️ 17 – 21 February 2025
📍 EMBL Heidelberg
📩 Apply by 25 November
➡️ https://t.co/8q92oAeVoK
Excited to share Trackastra, our new study on generalizable data-driven cell tracking. We use a lean transformer to learn costs for linking up segmented cells into lineages.
- Preprint: https://t.co/fppHLdzmoD
- Napari plugin with first pretrained models: https://t.co/CJRW6ECGFg
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!
We are very excited to present a major breakthrough achievement – the de novo design of synthetic enhancers for selected tissues in fruit fly embryos in vivo using deep- and transfer learning, @deAlmeida_BPet al published today in @Nature https://t.co/TIlPrBKYaK. Thread 👇(1/N)
The course website for the spring EMBO DL4MIA course launched today and registration is therefore now open!!! https://t.co/COUK4eZdyE
The goal of the course is to familiarize life science researchers with state-of-the-art DL techniques for microscopy image analysis! 🧐 👍 🧑🎓
🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science.
📝 https://t.co/VmrRfy5V9B
💻https://t.co/RsnRWqkbGs
🦓 https://t.co/zgxSGtOpav
🧵⬇️
How can machine learning help you to analyze your microscopy images?
Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5!
Applications are due 🚨 May 18 🚨
Read on for more! 👇
https://t.co/zuPyW4LbOh
This summer, EMBL will host once again the Lautenschläger Summer School, an exciting programme to introduce students from non-biology backgrounds to the dynamic interdisciplinary world of life science research.
More info: https://t.co/sQ3fiHYTeC
Register by: 23 Apr 2023
This summer, EMBL will host once again the Lautenschläger Summer School, an exciting programme to introduce students from non-biology backgrounds to the dynamic interdisciplinary world of life science research.
More info: https://t.co/YuYl5L0D0M
Register by: 23 Apr 2023
We present #Zebrahub: a timecourse atlas of zebrafish embryonic development, combining #scRNAseq time-course data with #lightsheet live imaging. Explore our seq. and imaging datasets interactively at
https://t.co/byKQ2Fz1tz
https://t.co/Ymb0B8Tpys
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What an honor that our #BrillouinMicroscopy work @embl has made this distinguished list - check out No. 7!! Congratulations to the entire team 🥳
https://t.co/o6Vp5GcD9e
Amazing news!! Congratulations to Anton, Alain and John - long awaited and so well deserved. I am especially happy for Anton, my #PhDAdvisor, from who I've learned how to ask fundamental, and forward-looking questions. So many good memories. Today we celebrate! 😀🍾🥳🇦🇹
I am moving to Heidelberg in a few weeks! I will spend the next 3.5 years at @embl for my PhD studies. I'm super-excited to join @ilastik_team to continue implementing deep learning solutions for microscopy. maybe explore mixing it with gene expression🧬? 🧐