Near-infrared spectroscopy solutions provided by NIRx Medical Technologies

NIRx Medical Technologies, LLC. is a world-leader in providing integrated solutions for fNIRS imaging. In 1988 we introduced the concept of tomographic imaging in dense scattering media based on diffusely scattered light (US Patent No. 5,137,355, A Method of Imaging a Random Medium, submitted June 8, 1988). This approach has since been widely adapted and has served to launch the modern day field of fNIRS tomography.

Since then we have consistently pushed this technology forward with scientific development and product innovation. Through our offices in Los Angeles, New York, and Berlin, our engineers and NIH-funded investigators are providing a growing number of research teams world-wide with comprehensive technology solutions for the most demanding investigative applications.

The Sweet Spot for Motor Learning: An fNIRS Study in Children with Congenital Limb Loss
1:06:06
The Sweet Spot for Motor Learning: An fNIRS Study in Children with Congenital Limb Loss
Turbo-Satori: GUI overview
2:49
Turbo-Satori: GUI overview
NIRStar Refresher
12:34
NIRStar Refresher
Systematic review of resting-state fNIRS in neurodegenerative diseases
39:05
Systematic review of resting-state fNIRS in neurodegenerative diseases
Measuring Brain Activity During Functional Movements
54:15
Measuring Brain Activity During Functional Movements
TMS-fNIRS Workshop with Prof. Joao Sato
1:33:07
TMS-fNIRS Workshop with Prof. Joao Sato
Intervention-Induced Change in Neurophysiology and Balance in Adults with Acquired Brain Injury
55:01
Intervention-Induced Change in Neurophysiology and Balance in Adults with Acquired Brain Injury
Uncovering Hidden Consciousness in the ICU: The Role of fNIRS in Brain Injury Care
40:54
Uncovering Hidden Consciousness in the ICU: The Role of fNIRS in Brain Injury Care
EEG/fNIRS optimal probe design & advanced diffused optical tomography with NIRSTORM package
57:34
EEG/fNIRS optimal probe design & advanced diffused optical tomography with NIRSTORM package
Photogrammetric fNIRS optode registration on the head with the Cedalion toolbox: A tutorial
1:12:42
Photogrammetric fNIRS optode registration on the head with the Cedalion toolbox: A tutorial
Spatio-temporal tomography of the brain: the DOT-EEG fusion algorithm and the new NIRFASTer
58:38
Spatio-temporal tomography of the brain: the DOT-EEG fusion algorithm and the new NIRFASTer
Towards more inclusive fNIRS research: Best practices for participants with afro-textured hair
1:06:54
Towards more inclusive fNIRS research: Best practices for participants with afro-textured hair
E-Prime Extension for NIRx - Optimize E-Prime for NIRx fNIRS systems
40:13
E-Prime Extension for NIRx - Optimize E-Prime for NIRx fNIRS systems
Beyond the Lab: fNIRS Imaging from Classrooms to Rainforests
56:55
Beyond the Lab: fNIRS Imaging from Classrooms to Rainforests
Satori 2.0 - Python
3:53
Satori 2.0 - Python
Multi-study GLM part 2
5:47
Multi-study GLM part 2
Satori Tutorial Series - Evaluation of Data Quality
4:09
Satori Tutorial Series - Evaluation of Data Quality
Satori 2.0
4:05
Satori 2.0
Satori Tutorial Series - Satori 2 0 User Guides
2:33
Satori Tutorial Series - Satori 2 0 User Guides
Satori Tutorial Series - SDD Regression
4:24
Satori Tutorial Series - SDD Regression
Satori Tutorial Series - Channel Rejection
3:51
Satori Tutorial Series - Channel Rejection
Satori Tutorial Series - Temporal filtering and normalization
4:45
Satori Tutorial Series - Temporal filtering and normalization
Satori Tutorial Series - Pre-processing steps
5:14
Satori Tutorial Series - Pre-processing steps
Satori 2.0 - Data Plotter
5:55
Satori 2.0 - Data Plotter
Populating a cap - NIRx
5:02
Populating a cap - NIRx
Satori Tutorial Series - Overview of GUI and main visualization features
6:16
Satori Tutorial Series - Overview of GUI and main visualization features
Simplifying machine learning for fNIRS: implementation and benchmarking with BenchNIRS
1:13:53
Simplifying machine learning for fNIRS: implementation and benchmarking with BenchNIRS
Assessment of baseline-corrected averaging, GLM and MVPA to analyse fNIRS infant data
1:08:12
Assessment of baseline-corrected averaging, GLM and MVPA to analyse fNIRS infant data
Multi-modal Integration of Simultaneous fMRI&fNIRS Signals: Protocol Development to Preprocessing
44:05
Multi-modal Integration of Simultaneous fMRI&fNIRS Signals: Protocol Development to Preprocessing
Modality Fusion: EEG-fNIRS Convergence for a Deeper Dive into Auditory Processing
1:02:31
Modality Fusion: EEG-fNIRS Convergence for a Deeper Dive into Auditory Processing