Haha, exactly! Give it a try and let us know what you think—we’d love to hear how it works for you!

Thanks so much, Jibran! Really glad you liked it—can’t wait to see how SAMson works for you!

We hope that SAMson will help accelerate large-scale research workflows, making studies more efficient and reproducible. By simplifying key steps in rodent MRI analysis, we aim to advance translational neuroscience. (5/5)

#openscience #ai #neuroscience @neuroalc.bsky.social

During the development of SAMson, I had the privilege of working under the guidance of Dr. Santiago Canals @canalslab.bsky.social, Dr. Antonio Pertusa, and Dr. Silvia De Santis @desantislab.bsky.social. I also thank my colleague @mokselim.bsky.social and everyone who provided data resources. (4/5)

Alongside the tool, we have made the following resources publicly available:
- The complete code to replicate our study: github.com/CanalsLab/SA....
- All datasets used in our research: doi.org/10.20350/dig....
Find all details in the updated preprint: www.biorxiv.org/content/10.1.... (3/5)

SAMson is built upon the integration of a custom object detection algorithm and the unparalleled Segment Anything Model (SAM) by Meta AI. This combination has resulted in a robust, accurate, open-source solution to simplify skull-stripping in rodent MRI studies. (2/5)