Group leader @ Uni Goettingen applying Image Analysis and Deep Learning to large microscopy data in biology. Also @cppape.bsky.social
Goettingen
Joined December 2015
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Constantin Pape retweeted
The ideal outcome for science isn't a couple of labs using proprietary models and millions of dollars to crack trophy problems, it's to have millions of AI-aided human scientists who follow their curiosity and become way more ambitious
Constantin Pape retweeted
i need someone at @OpenAI and @AnthropicAI to teach the models that while prototyping, backwards compatibility is just a bad idea
Constantin Pape retweeted
🔬 Imaging Seminar on Vision Foundation Models for Microscopy with Prof. Constantin Pape (@cppape) from University of Göttingen
📅 Mar 30, 17:00
👉 Registration: lnkd.in/ej6iCuPA
💡 EPFL PhDs:
Imaging Lunch w/ Prof. Pape
📅 Mar 31, 10:00
👉 lnkd.in/exemA5hW
Constantin Pape retweeted
🚀 Today we’re releasing FlashOptim: better implementations of Adam, SGD, etc, that compute the same updates but save tons of memory. You can use it right now via `pip install flashoptim`. 🚀
arxiv.org/abs/2602.23349
A bunch of cool ideas make this possible: [1/n]
Constantin Pape retweeted
I'm looking for a Swiss department to host me for an SNSF StG.
I research how gene expression evolves and emerges by combining wet lab + computational work in a variety of model systems. More: timothyfuqua.com
If your department might be a match, let’s chat!
Constantin Pape retweeted
The #CVPR2026 review deadline is fast approaching: January 12, 2026.
If you face any difficulties, contact your Area Chair NOW!
Approach your reviews the way you would expect your own to be handled, and consult the reviewer guidelines here: cvpr.thecvf.com/Conferences/…
Constantin Pape retweeted
OK can you guys please dedicate even half the energy you collectively use critiquing Empire of AI to also critique the massive work of harmful pseudoscience by Yud and Soares that was also a NYT Bestseller
Constantin Pape retweeted
We are hiring the second cohort of EvoReSt PhD students. If you are interested in deep evolutionary questions, checkout:
uni-goettingen.de/de/687607.…
Apply here:
obp.uni-goettingen.de/de-de/…
Constantin Pape retweeted
I just published a video showing how to use Pixi and Napari-Easy-Augment-Batch-DL for reproducible deep learning segmentation. In this example, I use Pixi to set up a Python environment then launch Napari to explore and compare Cellpose3 and Micro-SAM. youtu.be/3ObAnSTBri8
Constantin Pape retweeted
4th paper with my brother @AbedShaib. Second on AI. A shared path with our PhD supervisor Ute, who supervised me during my PhD & now supervises him.
Proud of this new publication in @NatureComms. A big thank u to our Editor @sgqcheng & our collaborators!
nature.com/articles/s41467-0…
Constantin Pape retweeted
Really excited to share this Perspective from John Danial covering how technology is moving the field of fluorescence microscopy toward structural biology. nature.com/articles/s41592-0…
Constantin Pape retweeted
I shared my thoughts in a @NatureMedicine comment on the urgent need for more standardized benchmarks in #AI for biomedicine. nature.com/articles/s41591-0…
Constantin Pape retweeted
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.
Constantin Pape retweeted
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 @nivedita_mani from @uniGoettingen shares interesting facts and tricks for boosting language learning, don't miss the upcoming episode on Monday!
#LanguageLearning #ChildDevelopment #MediaUse #LanguageAcquisition #KidsEducation #Communication
Constantin Pape retweeted
I was trying to find Desmodesmus armatus in MoBIE (from an incredible plugin of @cppape and C. Tischer
) and a wild demon appeared 👹👹👽 #UExM #Microscopy
Constantin Pape retweeted
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!
🧵👇
Constantin Pape retweeted
Ali @AliHShaib from @uniGoettingen 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 nanometer resolution using conventional light microscopes.
For a detailed discussion of this breakthrough, watch our latest episode🎧
🔗 youtu.be/lZry8WV4j3g
Subscribe to our YouTube channel for exclusive content and in-depth discussions on cutting-edge science!
Supported by the International Max Planck Research School for Neurosciences in #Göttingen, the European Neuroscience Institute, as well as @MBExC_de.
#Microscopy #microscope #science #research
Constantin Pape retweeted
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 @DKFZ_IMSY_lab and the @Blosc2 team for their amazing help!
Constantin Pape retweeted
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!
Constantin Pape retweeted
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…. Looking forward to any feedback!