Biophotonics Research Center
Attribution Non-Commercial
Yes
Washington University in St. Louis
NITRC
NeuroDOT
Adam Eggebrecht
NeuroDOT, a MATLAB- and Python- based self-contained toolbox, addresses common challenges in processing of functional near infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) data. NeuroDOT supports multiple common pre-processing and analytical pipelines for simulation, data-anatomy alignment and modeling, pre-processing, data quality control, reconstruction, spectroscopy, post-processing, and extensive data visualizations at all stages of processing. We also provide pre-assembled, anonymized, and published data samples from our lab to reflect common experimental paradigms in neuroimaging including visual, language, and resting tasks for human brain mapping. Visualization and analysis tools provide powerful and intuitive explorations of data and data quality. Register to receive development updates, news about workshops, and individual help from the NeuroDOT team: https://tinyurl.com/NeuroDOT .
The latest release version of NeuroDOT is v1.4 (October 17 2024).
2024-12-30
Markow_Trobaugh_Richter_et_al_Sci_Rep_2025_Release
2024-12-13
NeuroDOT Data Samples (SNIRF)
2024-10-17
NeuroDOT v1.4 (v1.4)
2024-7-11
Tripathy Fogarty et. al. 2024
2024-4-19
NeuroDOT_py
2024-4-19
sfNIRS 2024 Workshop
2024-4-19
OHBM 2022 Workshop
2024-4-19
sfNIRS 2022 Workshop
2024-3-01
NeuroDOT v1.3 (v1.3)
2024-1-09
XNAT_and_OXI_Support_Files
2023-6-24
NeuroDOT v1.2 (v1.2)
2023-6-20
NeuroDOT Tutorials
2023-5-30
Schroeder et al. 2023 Language Production
2023-3-02
NeuroDOT Resting State Dataset (.snirf)
2023-3-01
NeuroDOT Resting State Dataset (.mat)
2022-10-06
NeuroDOT v1.1 (v1.1)
2022-9-15
NeuroDOT Release v1.0 (v1.0)
2022-7-06
A Matrices
2022-6-30
NeuroDOT NITRC Release on GitHub
2022-6-30
Spectroscopy
NeuroDOT
Attribution Non-Commercial, Optical Imaging
http://www.nitrc.org/projects/neurodot/
aeggebre@wustl.edu