Mat2dcorr - A Matlab Toolbox for 2D-COS

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mat2dcorr - a free toolbox for performing two-dimensionsonal correlation (2D-COS) analysis with Matlab.


Mat2Dcorr: Screenshot of the 2D control window (left) and the window '2D correlation analysis ... ' (right)

Two-dimensional correlation spectroscopy (2D-COS), sometimes referred to also as two-dimensional correlation analysis has emerged since its earlier introduction in 1989 into an invaluable analysis tool for spectroscopic characterization in various fields of application, including protein science, pharmacy, biomedical applications and polymer, or nano material research. The technique of 2D-COS analysis was initially developed to study dynamic processes in which a spectroscopic probe is applied to monitor the effect of an external perturbation on a given system. The system responds to the perturbation through characteristic changes which are monitored spectroscopically, for example through continuous acquisition of a spectral time series. The main subject of investigations with 2D-COS is to explore correlations which may exist between perturbation-induced spectral responses. In some situations the 2D-COS analysis technique is not only useful to detect and visualize such correlations, but also to decipher the sequence of these spectral changes. Sources of perturbation can be, among others, changes of the temperature, pH, pressure, concentration, or of the spatial measurement coordinates when investigating spatially heterogeneous samples. The 2D correlation concept has proven to be extremely useful in a large variety of molecular spectroscopy applications relying on IR, NIR, Raman, NMR, fluorescence and UV-visible spectroscopy.

An introduction into the history, mathematics and basic principles of 2D-COS can be found here:

Getting Started

Data Import & File Formats

Options of the mat2dcorr Toolbox

Related Publications and Web Links

Mat2Dcorr: Illustration of Heterspectral 2D-COS (FTIR vs. Raman)


Mar 18, 2023: more details of the mat2Dcorr Matlab toolbox will follow soon