🛠️ We wrapped BiaPy as a Galaxy tool with a ✨ wizard-style interface (just like BiaPy’s GUI).

That means:
✔️ Step-by-step experiment setup
✔️ Launch training / inference jobs with BiaPy under the hood
✔️ Share & reproduce pipelines the Galaxy way 🌌

🧬 BiaPy was built by an international collaboration between researchers from @upvehu.bsky.social, @dipcehu.bsky.social , @uc3m.es and others — led by
@iarganda.bsky.social and @arratemunoz.bsky.social.
A huge thanks to everyone who contributed! 🌟 (5/7)

💡 How is BiaPy different?
• Full multi-GPU support for training and inference
• Efficient memory management for very large datasets (MBs → TBs)
• Single-container installation via Docker
• Integration with @BioImageModelZoo for easy model sharing and reuse!
#DeepLearning (4/7)

⚙️ What can you do with BiaPy?
✅ Instance and semantic segmentation
✅ Object detection
✅ Image classification
✅ Image denoising & super-resolution
✅ Self-supervised learning
✅ Image-to-image translation
From 2D images to full 3D brain scans! 🧠 (3/7)

🔍 What is BiaPy? 🚢
BiaPy is an open-source framework that simplifies the use of deep learning for microscopy 🔬 and biomedical images 🧪, offering intuitive interfaces, zero-code notebooks, and scalable workflows.
Built for scientists 🧑‍🔬 — no deep programming knowledge required! (2/7)
#AI #Bioimaging

You need to run that cell and completely wait until it has finished, since it will restart 🔄 the notebook. You will see the message "Your session crashed for an unknown reason." Keep calm and carry on 🤓 You can execute the rest of the notebook as usual 👍

🆕 Did you experience troubles ⚠️ while installing BiaPy in our Google Colab notebooks? We did too! This is due to some updates in the default libraries of Colab. As a temporary solution, we have now included a new cell in the notebooks to reinstall the conflicting libraries 👇

Finally, we have solved many usability-related issues ⚠️ and, more importantly, an ugly 🫣 bug that was causing problems after checking for available models from the BioImage Model Zoo 🦒 and Torchvision with our friendly Wizard 🪄:

Thanks to the feedback from our users we have updated the Docker container download ⬇️ process to provide more real-time information ℹ️ in the log panel and avoid a false impression of halt 🛑 that was occurring in some systems:

➡️ Next, you'll get our new tour window, with a short set of explanations for 🆕 newbies, including the full list of currently available workflows and the novelties from the latest release. Of course, you can desactivate it 😇

The first thing you will notice is the splash 💫 screen we have added so you don't stay wondering ⏳ if BiaPy has started after clicking on it...