We are thrilled to announce our latest technical note: “A MATLAB-based Tool for Converting fNIRS Time-Series Data to Homer3-Compatible Formats”, published in Neuroscience Informatics!
This work introduces a lightweight and user-friendly MATLAB script that automates the conversion of raw fNIRS data into the widely used Homer3 *.nirs format—empowering researchers who work with non-SNIRF data formats.
This work helps:
Simplifies fNIRS preprocessing for researchers without deep programming experience
Bridges compatibility gaps for devices not exporting SNIRF data
Promotes standardized and reproducible fNIRS data workflows
Prepares datasets for downstream analysis using Homer3
Next steps:
We’re exploring GUI enhancements, a Python version, and expanded compatibility with other fNIRS platforms to make this tool even more accessible.
Huge thanks to collaborators Dr. Xiaojun Cheng and Professor Shichao Liu for their support!
Read the full article here:
https://doi.org/10.1016/j.neuri.2025.100205
Code available on GitHub:
https://github.com/charleswang1020/fNIRS-mat-to-nirs
#fNIRS #Neuroimaging #OpenScience #Homer3 #NeuroscienceInformatics #MATLABTools #BrainResearch #DataStandardization #Neurotech
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