🚨Alô #bsky and #microscopy community, we got #ReScale4DL, our new work in
@aiopticalbiolab.bsky.social
, out today!😍 🥳
We present the #imageresolutionparadox phenomenon for #DL-results 🤓
👇Check it out!!
But there are no restrictions on its use! Feel free to experiment with other types of data and see what works for you. 🚀
DINOSim was created to provide a functional tool for environments with limited resources, little data, no labels, or no access to large model training, a common challenge in many biomedical labs.
If you want to try DINOSim, we’ve developed an open-source Napari plugin! 🖥✨
🔹 Easy segmentation: Just drag an image, click on an object, and you're done!
We’d love your feedback and contributions. Check it out!
🔗 github.com/AAitorG/napa...
DINOSim workflow simplified
My first preprint is out!
"DINOSim: Zero-Shot Object Detection and Semantic Segmentation on Electron Microscopy Images" 🔬✨
🔗: doi.org/10.1101/2025...
A few months ago, I had the opportunity to present my project, DINOSim, at #SPAOM2024. It was an incredible experience where I had the opportunity to meet and share ideas with many amazing people.
Okay so this is so far the most important paper in AI of the year
🆕 Now that the bugs have been fixed 🙃, we have a new video 📹 tutorial on how to import pretrained models from the BioImage Model Zoo 🦒 into your #BiaPy workflow using our friendly GUI 🖥️, by @iarganda.bsky.social:
youtu.be/Zq50Ew1s8ag