Kudos to Théo Lambert and the Urban Lab @openfus.bsky.social

Thanks to
@nerflabs.bsky.social
@cbdresearch.bsky.social
@viblifesciences.bsky.social
@leuvenbrainins.bsky.social
@fwovlaanderen.bsky.social
for the support and trust !

PyfUS is part of the @openfus.bsky.social , driving adoption of fUS tech via cutting-edge tools for data acquisition & analysis.

🔗Software: github.com/OpenfUS/PyfUS
📚Docs: pyfus.readthedocs.io/en/latest/
🧪Data: doi.org/10.5281/zeno...
🌐 openfusi.com

#OpenNeuro #OpenSource

Built with flexibility in mind, PyfUS supports:
1⃣ Linear & matrix array transducers
2⃣ Atlas-based or atlas-free modes
3⃣ Easy user-designed extensions

👊Once you try it, you'll never go back.

PyfUS provides an end-to-end pipeline for fUS data: from registration & signal processing to data-viz.
✅Region-based averaging (400+ regions)
✅Correlation analysis
🔥 Plus: single-voxel clustering for fine spatiotemporal insight at the voxel level.
#neuroimaging #fUS #BrainData

From our study, fUS can be seen as a robust estimator of local spiking as both signals are linearly correlated with minimal spatial spread.

Changes in fUS amplitude, shape, or extent have proportional counterparts in spike rate.

Congratulations to the team 🥳

🚨Exciting update🚨
We’ve recently expanded this method to whole-brain single-voxel clustering. Stay tuned for more breakthroughs as we push the limits of high-quality and high-resolution brain imaging with fUS! 🚀🧠✨

The PyfUS software used and described in the paper is available online at github.com/OpenfUS/PyfUS

Congratulations to Dr Théo Lambert and all the Urban Lab team 🤩
@nerflabs.bsky.social
@cbdresearch.bsky.social
@viblifesciences.bsky.social

Single-voxel clustering expands the fUS signal analysis toolbox! It enables paradigm-free analysis in behaving subjects, atlas-free investigations, and even brain decoding—unlocking new possibilities in neuroimaging 🧠💡