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Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
Han Y Ban1, Geoffrey M Barrett1, Alex Borisevich1
1Kernel, Los Angeles, California, United States.
Journal of Biomedical Optics
|January 19, 2022
Summary
Kernel Flow is a miniaturized time-domain functional near-infrared spectroscopy (TD-fNIRS) system. This device offers research-grade performance in a small, modular design, enabling wider use of advanced brain imaging.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Optical Imaging
Background:
- Time-domain functional near-infrared spectroscopy (TD-fNIRS) is the gold standard for noninvasive optical brain imaging.
- Current TD-fNIRS systems are limited by high cost, complexity, and large size, hindering widespread adoption compared to continuous wave NIRS.
Purpose of the Study:
- To introduce Kernel Flow, a novel TD-fNIRS system designed to overcome the limitations of existing devices.
- To maintain research-grade performance in a compact, modular form factor.
Main Methods:
- Development of Kernel Flow modules utilizing miniaturized laser drivers, custom integrated circuits, and specialized detectors.
- Assembly of modules for dense channel coverage across the entire head.
- Performance characterization using standardized tissue and optical phantom protocols for TD-fNIRS.
Main Results:
- The miniaturized Kernel Flow system demonstrated performance comparable to traditional benchtop TD-fNIRS systems.
- Human neuroscience results validated the system's efficacy.
Conclusions:
- The Kernel Flow system successfully miniaturizes TD-fNIRS technology.
- This innovation facilitates broader applications of TD-fNIRS in brain imaging research and clinical settings.
