Our Software
Brain AnalyzIR
Matlab toolbox
The brain AnalyzIR toolbox is an object-oriented matlab toolbox that focuses on first and second level statistical analysis for function NIRS brain imaging.
NIRS .Net
C# .net framework library
The NIRS .net software is a collection of class definitions similar to the AnalyzIR toolbox. This library includes code for data acquisition and data analysis GUIs that utilize the same class structures as the Matlab version.
NIRS Digitizer
Probe registration using a Polhemus
This is a Matlab GUI that communicates with a Polhemus Isotrak system to allow NIRS probe/head registration. This is designed for the newer Polhemus floating transmitter.
E’-LSL
Stimulus marking in E’
This is a small driver library written in C++ that messages through Lab-Streaming Layer form inside E-prime 2.
Arduino-Sync
Creating sync out devices
This is a small bit of code in Arduino IDE that allows a USB-connected Arduino to communicate to the NIRS system.
See information on making a Arduino box
Brain RecordIR
Matlab Data Collection GUI
This is a GUI to run a number of the TechEn instruments and includes real-time data analysis tools
Available from Other Labs
HOMER
Matlab toolbox
HOMER is a Matlab-based NIRS analysis package that includes many preprocessing filters and models for motion correction and removing systemic physiology. HOMER is developed by Drs David Boas and Meryam Yucel from Boston University
Phoebe
Matlab Data Quality GUI
Phoebe is GUI that allows real-time calculation of the scalp-coupling index to aid in the assessment of data quality at time of collection. This tool was developed by Luca Pollonini from the University of Houston
NIRS-SPM
Statistical Analysis for NIRS
NIRS-SPM is an extension of the fMRI and PET toolbox (SPM) . This code focuses on first-level statistical models for fNIRS.
QT-NIRS
NIRS Data quality
This is a small matlab package for estimating NIRS data quality. This tool was developed by Luca Pollonini from the University of Houston
MC-Extreme
Monte Carlo of the RTE
MC-Extreme is code to simulate the radiative transport equation (RTE) which describes how light moves through highly scattering tissue. This code was developed by Qianqian Fang from NorthEastern University.
NIR-FAST
FEM modeling of light diffusion
NIRFAST is a finite element solver for modling the diffusion of light in tissue. This code was developed by Hamid Delghani from the University of Birmingham, UK.