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Data Processing

This tutorial presents the NeuroDOT data processing pipeline in detail. === Recommended Reading === Muriah D. Wheelock, Joseph P. Culver, Adam T. Eggebrecht; High-density diffuse optical tomography for imaging human brain function. Rev. Sci. Instrum. 1 May 2019; 90 (5): 051101. https://doi.org/10.1063/1.5086809 Gregg NM, White BR, Zeff BW, Berger AJ, Culver JP. Brain specificity of diffuse optical imaging: improvements from superficial signal regression and tomography. Front Neuroenergetics. 2010 Jul 14;2:14. doi: 10.3389/fnene.2010.00014. PMID: 20725524; PMCID: PMC2914577. === NeuroDOT Resources === email: neurodot-support@wustl.edu GitHub (MATLAB): https://github.com/WUSTL-ORL/NeuroDOT GitHub (Python): https://github.com/WUSTL-ORL/NeuroDOT_py NITRC: https://www.nitrc.org/projects/neurodot Web: https://oxi.wustl.edu Youtube: @neurodottutorials Text-to-Speech by ElevenLabs: https://elevenlabs.io Background music by Jonah Padawer-Curry: https://open.spotify.com/artist/4Fwt3... The BIDS logo appears under terms of the Creative Commons 4.0 Attribution International license: https://creativecommons.org/licenses/... Python is a registered trademark of the Python Software Foundation MATLAB is a registered trademarks of The MathWorks, Inc. Our tutorial selection is currently expanding! Subscribe and activate notifications to stay up to date with the channel. NeuroDOT is extensible open source software for efficient optical brain mapping. Versions are available for MATLAB, Python, and web-based processing. Thank you for your interest in NeuroDOT.