Raw Signal Acquisition Software
CortiView 2 is a powerful software for real-time fNIRS signal acquisition, enabling precise monitoring and customizable montage creation. It supports seamless LSL data streaming for integration with external tools. Designed for ease of use, it streamlines workflows from setup to data collection, making it accessible for researchers of all levels.
Real-time fNIRS signal monitoring and fNIRS data collection in SNIRF and TXT formats
Customizable montage creation for tailored research setups
Seamless LSL streaming for external integration
User-friendly interface for intuitive operation
Plots with real time fNIRS and IMU raw data, oxy-Hb, deoxy-Hb, total-Hb
Streamlined workflow from setup to signal acquisition
Optimized for precision and reliability in data collection
Flexible configuration to meet diverse research needs
User templates
User-friendly templates for experiment personalized settings with intuitive interface. Cortiview2 provides step by step assistance in cap preparation for experiments.
Matlab (Homer 3)
MATLAB is one of the widely used data analysis software. The Homer3 toolbox running within it is used for analyzing fNIRS data to obtain estimates and maps of brain activation. Our products are fully compatible with this environment.
Unity VR engine
Unity is a powerful tool for creating 3D and 2D computer games and virtual reality scenarios. Create a fully controlled experimental or training environment with integrated fNIRS measurments.
Python (MNE)
MNE is an open-source Python-based package for exploring, visualizing, and analyzing neurophysiological data from MEG, EEG, NIRS and more.
LabStreamingLayer
We provide a real-time data stream using the Lab Streaming Layer protocol, making it easy to integrate our system with other devices like EEG, motion capture, eye tracking and more. Receiving data via LSL also opens the door to online analysis e.g. for BCI or hyperscanning studies.
Matlab (Homer 3)
MATLAB is one of the widely used data analysis software. The Homer3 toolbox running within it is used for analyzing fNIRS data to obtain estimates and maps of brain activation. Our products are fully compatible with this environment.
Unity VR engine
Unity is a powerful tool for creating 3D and 2D computer games and virtual reality scenarios. Create a fully controlled experimental or training environment with integrated fNIRS measurments.
Python (MNE)
MNE is an open-source Python-based package for exploring, visualizing, and analyzing neurophysiological data from MEG, EEG, NIRS and more.
LabStreamingLayer
We provide a real-time data stream using the Lab Streaming Layer protocol, making it easy to integrate our system with other devices like EEG, motion capture, eye tracking and more. Receiving data via LSL also opens the door to online analysis e.g. for BCI or hyperscanning studies.
