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Software for muscle NIRS

Tools

A single place to find software for working with muscle near-infrared spectroscopy data. Every tool here is available now and links out to its creator's own site, with the citation to use so the people who built it are credited. Free to use unless stated otherwise.

2 tools listed · updated 21 Sept 2026

  • Desktop app · Windows Free for research use
    Measures
    Resting mV̇O₂, rate constant k, time constant τ, exercise stimulus
    Input
    Artinis Oxysoft exports; Train.Red FYER exports
    Runs on
    Windows 10 / 11, 64-bit
    Version
    1.2.0, September 2026
    Licence
    Proprietary, free of charge for research and education

    MCMITO

    Raw repeated occlusion recordings to resting mV̇O₂, rate constant and time constant, in one rapid, auditable workflow.

    MCMITO imports raw NIRS recordings from repeated arterial occlusion protocols and delivers the key metrics of muscle oxidative capacity within minutes: resting muscle oxygen consumption (mV̇O₂), the recovery rate constant (k) and the time constant (τ). Occlusions are detected automatically with a confidence score you can accept or adjust, blood volume correction and physiological calibration are applied, and the recovery of mV̇O₂ is fitted with standard errors and fit quality reported. The exercise stimulus preceding each occlusion set is also quantified, so you can confirm the protocol delivered the intended intensity, and the analysis adapts to a range of protocol designs and occlusion sequences. Every per-occlusion slope, exclusion and fit stays visible and exportable, with results going out as Excel workbooks and PDF reports.

    Not a medical device. Intended for research and educational use only.

    Created byDr Chris McManus, University of Essex

    DOI 10.5281/zenodo.22329660

    Cite asMcManus, C. (2026). MCMITO: Near-infrared spectroscopy analysis of skeletal-muscle mitochondrial oxidative capacity (Version 1.2.0) [Computer software]. Zenodo.

  • Web app · R package Open source · MIT
    Does
    Reads, cleans, filters and analyses mNIRS signals; interval extraction, kinetics fitting, oxidative capacity
    Input
    Artinis Oxysoft, Moxy, PIONIRS, Train.Red, PerfPro Studio, VO2 Master exports
    Runs on
    Any browser (app); R 4.1 or later (package)
    Version
    Package 0.8.0 on CRAN, September 2026
    Status
    Experimental, under active development

    {mnirs} app and R package

    Standardised, reproducible processing and analysis of muscle NIRS data, in the browser or in R.

    The app is a browser front end to the open source {mnirs} R package. Upload an export from a supported device and the format is recognised automatically. Signals can be resampled, trimmed, cleaned of outliers and gaps, filtered, shifted, rescaled and blood volume corrected, with event markers placed by hand. Intervals are then extracted around events, oxygenation kinetics fitted with mono-exponential, bi-exponential, drift and sigmoidal models, and muscle V̇O₂ recovery analysed from repeated occlusion protocols to give a rate constant. Data, coefficients and plots download as Excel and PNG files. R users get the same methods as functions.

    Both app and package are marked as experimental by their author and are still being developed.

    Created byJem Arnold

    DOI 10.32614/CRAN.package.mnirs

    Cite asArnold, J. (2026). mnirs: Muscle Near-Infrared Spectroscopy Processing and Analysis. R package version 0.8.0. CRAN.

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Know of a tool that belongs here?

The aim is one place for everything the community uses to work with muscle NIRS data: analysis software, device utilities, scripts and packages, templates and teaching resources. If you have built something, or rely on something others should know about, send us a short description, a link and, where one exists, a DOI or preferred citation.

We list tools that are available now and link to the creator's own site rather than hosting copies. A listing is not an endorsement; please read each tool's documentation and licence before using it. Some of the site's custodians are themselves authors of listed tools.

Suggest a tool → musclenirs@gmail.com