🙏 Thanks to @naturemethods, @rita_strack , the reviewers, and the awesome bioimage analysis community. We can't wait to see what you build with BiaPy! 🚀🧠.🔗 #BiaPy #BioimageAnalysis #DeepLearning (7/7).

🔗 Want to try BiaPy?. Check out the full documentation and tutorials here:. 👉 👉 Contribute, test, and join the community — BiaPy is open source! (6/7). #OpenScience #Microscopy #AI.

🧬 BiaPy was built by an international collaboration between researchers from @upvehu, @DIPCehu, @BiofisikaScienc, @UC3M, @scu_lab, @LabOptBio and others — led by @IgnacioArganda and @ArrateMunoz. 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 @bioimageio 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)

🚀 Excited to share that our work on BiaPy has been published today in Nature Methods!.BiaPy makes deep learning accessible for bioimage analysis, from small datasets to terabyte-scale 3D images. 👇(1/7).🔗 #DeepLearning #BioimageAnalysis #BiaPy

RT @IgnacioArganda: and 4⃣, on Friday at 10:45am (Sala Toledo), I will be presenting the history and current state of @BiaPyX with my talk….

RT @IgnacioArganda: 3⃣ Tomorrow after lunch (16.15h – 17.15h, Workshop rooms), @ArrateMunoz @Lenka_Backova @AAitorG and I will give a commu….

BiaPy ⛴️ will be at SPAOM24 in Toledo twice! We'll lead a community workshop (Day 2) and @IgnacioArganda will give an invited talk (Day 3) about our library and application ☺️ See you all there! #SPAOM2024.

🆕 We have updated our preprint in @biorxivpreprint 📰 It explains better the current state of #BiaPy ⛴️ while describing as well its limitations 🤗 Hope you like it! ."BiaPy: Accessible deep learning on bioimages"

🚀 For a fast overview on how to reuse models from the @bioimageio zoo 🦒in our notebooks 📒 (including exporting them too), check our video."BiaPy: Import & Export BioImage Model Zoo models in Notebooks" via @YouTube by @IgnacioArganda.

3⃣ and of course, programmatically 🤓 by editing the YAML configuration file. We have a dedicated page in the documentation 📚 that explains the whole process in all three cases:.

2⃣ from the notebooks, by listing 📒 all available models compatible with your task, then selecting the 🦒 zoo as model source, and finally introducing the nickname of the model that best fits your needs:

Would you like to use a model from the @bioimageio zoo 🦒 as core model of your BiaPy ⛴️ workflow? No worries! You can easily do that either 👇. 1⃣ from the GUI 🖥️, specially if you follow the instructions of our friendly wizard 🪄🧙‍♀️

📒 Our code-free notebooks are designed to be self-explainable and (hopefully 🤞) easy to use and follow. Nevertheless, in case you feel overwhelmed by them, you can have a look at our walkthrough video on BiaPy Notebooks via @YouTube by @IgnacioArganda.

Nice news from our friends of @brain_globe 🤩🧠🔬🖥️.

🎃 Happy Halloween BiaPy-ers!!! 👻 Are you a novice user scared 😱 of using #BiaPy's GUI for the first time? Fear no more! 🤗 Here you have a full video with a complete walkthrough on BiaPy's graphical user interface 🖥️⛴️🚶via @YouTube by @danifranco93.

💫 If you could not attend the workshop but are interested in its content, no worries! Here you have the presentation 🖥️ used to guide the attendees:.All feedback is more than welcome! 🤗.#Biapy #BioImageAnalysis.

Apart from showing how simple it is to install #BiaPy, inspect the image data, and train & evaluate a model, the easy import/export options from the @bioimageio zoo were also showcased 🔬⛴️❤️🦒 #I2K2024.