Kernel Flow vs NIRx NIRSport2
The fNIRS showdown. Next-generation wearable time-domain versus the established continuous-wave research workhorse. Real specs, real tradeoffs.
Pick Kernel Flow if you need
Cutting-edge TD-fNIRS in a wearable helmet. Best for pharma studies, naturalistic research settings, and teams that want the latest time-domain technology with minimal setup friction.
Pick NIRx NIRSport2 if you need
A proven, high-channel-density research platform. Best for established fNIRS labs, hyperscanning studies, and groups that need deep MATLAB/LSL integration and modular scalability.
Comparison
| Criteria | Kernel Flow | NIRx NIRSport2 |
|---|---|---|
| Best for | Next-gen wearable fNIRS, pharma studies, naturalistic settings | Established research labs, clinical fNIRS, hyperscanning studies |
| Modality | TD-fNIRS (time-domain) -- measures photon flight time | CW-fNIRS (continuous-wave) -- measures intensity changes |
| Channels | 52 source-detector channels | Up to 128 source-detector pairs (modular) |
| Form factor | Lightweight helmet; single integrated unit | Wearable backpack unit + neoprene cap with fiber optic optodes |
| Setup time | ~5 minutes | ~15 minutes (optode placement requires training) |
| Sampling rate | Not publicly confirmed | 60 Hz |
| SDK stack | Kernel Flow Platform, Kernel Data Pipeline (Python) | NIRStar, Aurora fNIRS, MATLAB toolboxes, LSL |
| Pricing | Contact (hardware lease + data platform model) | ~$30,000-$120,000+ (hardware purchase) |
| Certifications | Research use only; pursuing regulatory pathways | CE marked research instrument |
| Tradeoff | Cutting-edge TD-fNIRS in a wearable form, limited availability and closed ecosystem | Proven research workhorse with deep software ecosystem, bulkier setup |