BiaPy
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biapyx.bsky.social
BiaPy
@biapyx.bsky.social
This is a new step for accessible, FAIR bioimage AI 🚀

Try the tool 👉 imaging.usegalaxy.eu?tool_id=tool...

Contribute your models 🧑‍🔬 And join the community making bioimage analysis open & reproducible!

#BiaPy #GalaxyProject #BioImageAnalysis #Bioimaging
Galaxy
Galaxy is a community-driven web-based analysis platform for life science research.
imaging.usegalaxy.eu
October 20, 2025 at 2:11 PM
🤝 And there’s more! Thanks to this integration, you can also tap into the 🦒 BioImage Model Zoo 🧬.

Pretrained models can now be run straight through Galaxy with BiaPy, bringing community AI models to your data in just a few clicks.

#BioImageModelZoo #OpenScience
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October 20, 2025 at 2:11 PM
🛠️ 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 🌌
October 20, 2025 at 2:11 PM
So, one more time, 💫 thanks everybody 💫 for making this happen: from our developers 🛠️ to our users 👥.

Huge thanks and keep it up! 💪
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July 15, 2025 at 2:58 PM
In the meantime, we have more than 46 pretrained models from ⛴️ BiaPy available now in the 🦒 Bioimage Model Zoo 🫶 @ai4life.bsky.social

🔗 Have a look at: bioimage.io#/models

As usual, they are accesible from BiaPy's GUI 🖥️, Colab notebooks 📔 and our API 🤓
BioImage.IO - Model Zoo
BioImage Model Zoo - A community-driven, open resource for sharing standardized AI models for bioimage analysis
bioimage.io
July 15, 2025 at 2:58 PM
We fixed many issues ⚠️ and bugs 🐛 reported by our community 📩. You don't know how happy that makes us 😍

As an example, we can now reuse the predictions of a workflow and execute only the post-processing step with different parameters, which is much faster ⏩

biapy.readthedocs.io/en/latest/ge...
Release Version 3.6.0 · BiaPyX/BiaPy
Major: Transition to numpy 2 (#134) Update notebooks by removing the cell that restarts the kernel, as it is no longer necessary after the transition to NumPy 2. Changing default normalization to ...
github.com
July 15, 2025 at 2:58 PM
Special kudos to our fantastic summer intern Ibai Mayoral 👨‍🎓 from the @dipcehu.bsky.social who has made an incredible job at implementing all those methods now within BiaPy's core code 🤩

dipc.ehu.eus/en/career/in...
Development of Open-Source Deep Learning Tools for Bioimage Analysis
dipc.ehu.eus
July 15, 2025 at 2:58 PM
We have removed ✂️ our dependency to the unmaintained 'imgaug' library for data augmentation methods, which means we can now easily execute all our workflows in Google Colab without restarting 🔄 the session, yay! 🤗

bsky.app/profile/biap...

So no more this 👇
🆕 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 👇
July 15, 2025 at 2:58 PM
Right! That was one of our first options 🤗 However, since we need to extend many methods to 3D images, it seems more reasonable for us to write our own code and reduce the number of dependencies we already have 😇
May 2, 2025 at 9:24 AM
Sure! We believe it is imgaug and its dependencies, which have not been updated in a while (5 years). So we're trying to get rid of it by writing our own code for the data augmentation methods we use from that library.
April 30, 2025 at 6:30 AM
Kudos to you, my captain! 🦸‍♂️
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April 30, 2025 at 6:18 AM
Thank you! 😊
April 30, 2025 at 6:13 AM
We're working on eliminating those dependencies 😅
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media.tenor.com
April 30, 2025 at 6:12 AM
The big deal is numpy. Some of the dependencies of BiaPy cannot work with numpy 2.*, so we have to remove the Colab's version of numpy and install numpy==1.26.*. And doing this, we're forced to restart the runtime for the changes to take effect 😬
April 30, 2025 at 6:11 AM
🙏 Thanks to
@naturemethods.bsky.social, @ritastrack.bsky.social, the reviewers, and the awesome bioimage analysis community.
We can't wait to see what you build with BiaPy! 🚀🧠
🔗 www.nature.com/articles/s41...
#BiaPy #BioimageAnalysis #DeepLearning
BiaPy: accessible deep learning on bioimages - Nature Methods
Nature Methods - BiaPy: accessible deep learning on bioimages
www.nature.com
April 29, 2025 at 9:33 AM
🔗 Want to try BiaPy?
Check out the full documentation and tutorials here:
👉 biapy.readthedocs.io
👉 www.youtube.com/@BiaPyX
Contribute, test, and join the community — BiaPy is open source! (6/7)
#OpenScience #Microscopy #AI
BiaPy: Accessible deep learning on bioimages — BiaPy documentation
biapy.readthedocs.io
April 29, 2025 at 9:33 AM
🧬 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)
April 29, 2025 at 9:33 AM
💡 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)
April 29, 2025 at 9:33 AM
⚙️ 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)
April 29, 2025 at 9:33 AM