Satori is an intuitive, powerful fNIRS analysis software designed to simplify complex workflows, offering full control over data processing through an easy-to-use graphical interface. With built-in statistical tools, real-time visualisation, multi-subject support, and optional Python integration, Satori streamlines your analysis from raw data to results.
Satori fNIRS Software
Designed for Streamlined fNIRS Analysis
Satori is a user-friendly and robust fNIRS analysis software that brings clarity and control to every stage of your data processing pipeline. Designed in collaboration with Brain Innovation and distributed exclusively by NIRx, Satori was built to empower researchers—no programming required. With an intuitive interface, visualised processing steps, and comprehensive documentation, Satori makes sophisticated fNIRS analysis accessible to both new and experienced users.
Total Control Without the Coding
From preprocessing to statistical modelling, Satori provides direct access to widely used fNIRS processing methods through a fully GUI-based workflow. Simply select your preferred techniques and parameters—Satori handles the rest. Each step is visualised in real time, so you can understand how your data evolves and identify artefacts or anomalies along the way. The entire analysis is fully documented for transparency and reproducibility.
Built-In Flexibility for Advanced Users
While no coding is required, Satori includes seamless Python integration for those who want to extend the software’s capabilities. You can embed custom scripts, automate processes, or connect your pipeline to other tools in your research workflow. This balance of simplicity and power makes Satori ideal for both exploratory analysis and advanced, large-scale studies.
Designed for Efficiency and Collaboration
Satori’s workflow manager allows you to process multiple datasets in one go, manage analysis pipelines, and track progress across subjects or sessions. You can save, load, and share workflows to ensure consistency across teams or over time. Whether you’re analysing one participant or one hundred, Satori helps you stay organised and efficient throughout the entire project.
Key Features:
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Visualised Analysis Pipeline – View and interact with data at every step of the process.
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No Coding Required – Perform advanced fNIRS analysis without writing a single line of code.
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Flexible Method Selection – Access popular preprocessing and statistical tools, including GLM and block averaging.
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Multi-Subject Support – Run group-level analyses with synchronised workflows.
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Interactive GUI – Easily select parameters, exclude channels or epochs, and inspect individual trial data.
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2D & 3D Visualisation – Generate clear, informative brain activity maps.
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Python Integration – Extend functionality or embed your own scripts within the workflow.
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Workflow Manager – Automate batch processing, replicate pipelines, and collaborate across projects.
Feature | Description |
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User Interface | Intuitive GUI with standard and advanced modes |
Programming Required | None required (optional Python integration available) |
Data Format | Compatible with .snirf files |
Analysis Methods | General Linear Model (GLM), block averaging, individual channel plots |
Visualisation | 2D and 3D data display at each processing step |
Multi-Subject Support | Yes |
Workflow Manager | Save, load, share, and batch-run workflows across datasets |
Python Integration | Built-in scripting interface for custom functions |
Operating System | Windows 10/11 (Mac support coming soon) |
License | Single-user or site license options available |
Developer | Brain Innovation (in collaboration with NIRx) |
- Enhancing classification accuracy with integrated contextual gate network: Deep learning approach for functional near-infrared spectroscopy brain-computer interface application. Akhter, K. et al. Sensors 24(10): 3040. 2024
- Hybrid functional near-infrared spectroscopy system and electromyography for prosthetic knee control. AlQahtani, N.J. et al. Biosensors 14(11): 553. 2024
- A comparison of immersive vs. non-immersive virtual reality exercises for the upper limb: A functional near-infrared spectroscopy pilot study with healthy participants. Dordevic, M. et al. J. Clin. Med. 12(18): 5781. 2023
- Disentangling inhibition toward food and non-food stimuli across two hunger levels: An fNIRS study. Labonté, K., Fantino, M. and Nielsen, D.E. Appetite 203. 2024
- Adaptive yoga versus low-impact exercise for adults with chronic acquired brain injury: a pilot randomised control trial protocol. Stephens, J.A. et al. Front. Hum. Neurosci. 17. 2023
Compatible Products
This product can be used in combination with some of our other systems. Find out more by selecting one from the list below.
Added Value
In addition to supplying and supporting a wide range of neuroscience products, Brainbox offers additional value in a number of areas that can benefit our customers, including:
Training
Installation, Product Training, Technique Training, Bespoke Training
Lab Support
System Upgrades, Testing, Calibration, System Integration, Bespoke Solutions
Research Support
Study Design, Piloting, Technical Information, References
Collaboration
Grant Applications, Industrial Projects, Workshops