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| __FORCETOC__
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| mat2dcorr - a free toolbox for performing two-dimensionsonal correlation (2D-COS) analysis with [https://www.mathworks.com Matlab].<br>
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| == Introduction ==
| | [[File:index-of-2dcorr.jpg|500px|thumb|Mat2Dcorr: index of http://www.peter-lasch.de/2dcorr]] |
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| [[File:2D-COS.jpg|450px|thumb|Mat2Dcorr: Screenshot of the 2D control window (left) and the window '2D correlation
| | '''Download''' - the latest version of the mat2dcorr toolbox (CC-BY-NC license) is available from this website: <br> |
| analysis ... ' (right)]]
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| Two-dimensional correlation spectroscopy (2D-COS), sometimes referred to as two-dimensional correlation analysis, has become an invaluable analytical tool for spectroscopic characterization in various fields of application, including protein science, pharmaceutics, biomedical applications, and polymer or nanomaterial research, since its early introduction in 1989. The technique of 2D-COS analysis was originally developed to study dynamic processes in which a spectroscopic probe is used to monitor the effect of an external perturbation on a given system. The system responds to the perturbation by characteristic changes that are monitored spectroscopically, e.g. by continuous acquisition of a spectral time series. The main purpose of 2D-COS investigations is to explore correlations that may exist between perturbation-induced spectral responses. In some situations, the 2D-COS analysis technique is useful not only to detect and visualize such correlations, but also to decipher the sequence of these spectral changes. Sources of perturbation can include changes in temperature, pH, pressure, concentration, or spatial coordinates when examining spatially heterogeneous samples. The 2D correlation concept has proven to be extremely useful in a wide variety of molecular spectroscopy applications based on IR, NIR, Raman, NMR, fluorescence and UV-visible spectroscopy.
| | [http://www.peter-lasch.de/2dcorr/ http://www.peter-lasch.de/2dcorr/] <br> |
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| An introduction into the history, mathematics and basic principles of 2D-COS can be found here: https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis
| | ===== mat2dcorr Toolbox Versions ===== |
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| == Getting Started ==
| | <ol> |
| * [[Computer_Specification|Specification of computer configuration]]
| | <li>version 1.00 - Jan 2020</li> |
| * [[Screenshot_of_mat2dcorr|Screenshot of the mat2dcorr gui]]
| | <li>version 1.01 - May 2021 - minor bugfixes: |
| * <span style="color:red"> Downloading mat2dcorr</span> - [[How_to_obtain_the_mat2dcorr_toolbox|How to obtain the mat2dcorr toolbox?]]
| | <ul> |
| * [[Installation_of_the_mat2dcorr_toolbox|Installation of the mat2dcorr toolbox]]
| | <li>button for starting the calculation greys out after changing pulldown menu selections (type of 2D spectrum, type of reference spectrum, etc.)</li> |
| * [[Disclaimer_and_License_Conditions |Disclaimer and license conditions]]
| | <li>bug of the ''Mouse over'' function of the main window fixed</li> |
| * [[mat2dcorr_-_Relevant Publications|Acknowledgement, relevant publications]]
| | <li>standard size of the main window changed</li> |
| * [[Frequently_Asked_Questions_(FAQ)|Frequently asked questions (FAQ)]]
| | </ul> |
| | | </li> |
| == Data Import & File Formats ==
| | <li>version 1.02 - May 2021: |
| | | <ul> |
| * [[Matlab_Imaging_Format|Import data in the imaging format (Matlab)]]
| | <li>fixed a critical error reported by Z. Xinchang - wrong treatment of spectra with non-equidistant point spacing (function import data in the Matlab trace format) </li> |
| * [[Matlab_Trace_Format|Import data in the trace format (Matlab)]]
| | </ul> |
| * [[Format_of_a_2D-COS_Result_File|Format of a 2D-COS result file (Matlab)]]
| | </li> |
| | | <li>version 1.03 - Aug 2021: |
| == Options of the mat2dcorr Toolbox ==
| | <ul> |
| | | <li>allows resizing the 2D-COS window (main window), minor bug fixes</li> |
| * [[Options_of_the_2D-COS_Main_Figure| Options of the 2D-COS main figure]]
| | </ul> |
| * [[Options_of_the_2D-COS_Control_Window| Options of the 2D-COS control window]]
| | </li> |
| | | <li>version 1.04 - Apr 2023: |
| == Related Publications and Web Links ==
| | <ul> |
| | | <li>import data from MS Excel files (*.xlsx)</li> |
| [[File:GraphAbstr.gif|500px|thumb|Mat2Dcorr: Illustration of Heterspectral 2D-COS (FTIR vs. Raman)]]
| | <li>minor bug fixes</li> |
| | | </ul> |
| * [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia)
| | </li> |
| | | </ol> |
| * I. Noda. [https://doi.org/10.1366/0003702904087398 Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications], 1990 Appl. Spectrosc. 44(4): 550-561
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| * I. Noda. [https://doi.org/10.1366/0003702934067694 Generalized Two- Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy], 1993 Appl. Spectrosc. 47(9): 1329-1336
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| * I. Noda. [https://doi.org/10.1366/0003702001950472 Determination of Two-Dimensional Correlation Spectra Using the Hilbert Transform], 2000 Appl. Spectrosc. 54(7): 994-999
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| * P. Lasch & I. Noda. [https://doi.org/10.1021/acs.analchem.7b00332 Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue]. Anal. Chem. 2017, 89, 9, 5008–5016 | |
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| * P. Lasch & I. Noda. [https://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra]. 2019 Appl. Spectrosc. 73(4): 359-379
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| Mar 18, 2023: more details of the mat2Dcorr Matlab toolbox will follow soon
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