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Because we have seen these improvements and due to popular demand, we have decided to start a call for community data submission to further improve our models: computational-cell-analytics.github.io/micro-sam/micr…. Looking forward to any feedback!

That's a wrap for #EMBLDeepLearning 🌠 A huge thank you to everyone who attended this advanced course 🙌 We hope the hands-on element of applying deep learning-based methods to your own data and image analysis problems was useful. Until next time!

nnU-Net v2.6 released! Most important change: Rework of the preprocessed data format 🚀 We now use Blosc2 for partially reading compressed files! Faster IO with less disk space required. Many thanks to Jan Sellner from IMSY Lab (DKFZ) and the Blosc team for their amazing help!

Ali Ali H. Shaib from Uni Göttingen co-developed the One-step Nanoscale Expansion (ONE) microscopy, a revolutionary, accessible super-resolution technique. ONE combines expansion microscopy with fluorescence fluctuation analysis, enabling visualization of protein structures at

Can we predict future brain activity in a small vertebrate?🤔 We're releasing ZAPBench⚡️(#ICLR2025 spotlight): a benchmark to forecast activity in a whole vertebrate brain🧠 at single-cell resolution!🐟 70k+ neurons, 3 TB of data & extensive baselines. Connectome is coming! 🧵👇

I was trying to find Desmodesmus armatus in MoBIE (from an incredible plugin of Constantin Pape and C. Tischer ) and a wild demon appeared 👹👹👽 #UExM #Microscopy

Media can actually boost your child's language learning! The secret? Simply talk to them about what they watched. Include natural language variability, just like in everyday conversations. Prof. Mani Nivi Mani from Uni Göttingen shares interesting facts and tricks for

A thread of thoughts on radiance fields, from my keynote at 3DV: Radiance fields have had 3 distinct generations. First was NeRF: just posenc and a tiny MLP. This was slow to train but worked really well, and it was unusually compressed --- The NeRF was smaller than the images.

I shared my thoughts in a Nature Medicine comment on the urgent need for more standardized benchmarks in #AI for biomedicine. nature.com/articles/s4159…