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| | With version 1.04 of the mat2dcorr toolbox, besides hyperspectral imaging data in the CytoSpec data format and Matlab trace files, spectra data from MS Excel spreadsheets can now be loaded. MS Excel spreadsheets should contain spectra series in a 2D data format where the spectra must be arranged as columns and the wavenumber vectors as rows. It is also important that the first row contains the vector with the data entries of the perturbing variable (temperature, pressure, etc.). The first column should contain the y-vector (wavenumber, frequencies, Raman shift vector) starting from row no. 2. <br> |
| mat2dcorr - a free toolbox for performing two-dimensionsonal correlation (2D-COS) analysis with [https://www.mathworks.com Matlab].<br> | |
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| == Introduction ==
| | In order to use own data by means of the MS Excel import function, it is recommended to analyze the structure of the example file ''linescandata.xlsx'' and to replace the spectral data contained therein with own data. <br> |
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| [[File:2D-COS.jpg|450px|thumb|Mat2dcorr: Screenshot of the 2D control window (left) and the window '2D correlation | | Download MS Excel file ''linescandata.xlsx'': [http://www.peter-lasch.de/2dcorr/linescandata.xlsx|http://www.peter-lasch.de/2dcorr/linescandata.xlsx]<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.
| | To load MS Excel trace files select Load Data → Excel data format → x-data, or y-data from the Load Data menu bar. <br> <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
| | == Related links == |
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| == Getting Started == | |
| * [[Computer_Specification|Specification of computer configuration]]
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| * [[Screenshot_of_mat2dcorr|Screenshot of the mat2dcorr gui]]
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| * <span style="color:red"> Downloading mat2dcorr</span> - [[How_to_obtain_the_mat2dcorr_toolbox|How to obtain the mat2dcorr toolbox?]]
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| * [[Installation_of_the_mat2dcorr_toolbox|Installation of the mat2dcorr toolbox]]
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| * [[Disclaimer_and_License_Conditions |Disclaimer and license conditions]]
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| * [[mat2dcorr_-_Relevant Publications|Acknowledgement, relevant publications]]
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| * [[Frequently_Asked_Questions_(FAQ)|Frequently asked questions (FAQ)]]
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| == Data Import & File Formats ==
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| * [[Matlab_Imaging_Format|Import data in the CytoSpec imaging format (CytoSpec/Matlab)]] | | * [[Matlab_Imaging_Format|Import data in the CytoSpec imaging format (CytoSpec/Matlab)]] |
| * [[Matlab_Trace_Format|Import data in the trace format (Matlab)]] | | * [[Matlab_Trace_Format|Import data in the trace format (Matlab)]] |
| * [[Excel_Trace_Format|Import data in the MS Excel data format]]
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| * [[Format_of_a_2D-COS_Result_File|Format of a 2D-COS result file (Matlab)]] | | * [[Format_of_a_2D-COS_Result_File|Format of a 2D-COS result file (Matlab)]] |
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| == Options of the mat2dcorr Toolbox ==
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| * [[Options_of_the_2D-COS_Main_Figure| Options of the 2D-COS main figure]]
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| * [[Options_of_the_2D-COS_Control_Window| Options of the 2D-COS control window]]
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| == Related Publications and Web Links ==
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| [[File:GraphAbstr.gif|500px|thumb|Mat2Dcorr: Illustration of Heterospectral 2D-COS (FTIR vs. Raman)]]
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| * [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia)
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| * 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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| Apr 02, 2023: more details of the mat2dcorr Matlab toolbox will follow soon
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With version 1.04 of the mat2dcorr toolbox, besides hyperspectral imaging data in the CytoSpec data format and Matlab trace files, spectra data from MS Excel spreadsheets can now be loaded. MS Excel spreadsheets should contain spectra series in a 2D data format where the spectra must be arranged as columns and the wavenumber vectors as rows. It is also important that the first row contains the vector with the data entries of the perturbing variable (temperature, pressure, etc.). The first column should contain the y-vector (wavenumber, frequencies, Raman shift vector) starting from row no. 2.
In order to use own data by means of the MS Excel import function, it is recommended to analyze the structure of the example file linescandata.xlsx and to replace the spectral data contained therein with own data.
Download MS Excel file linescandata.xlsx: [1]
To load MS Excel trace files select Load Data → Excel data format → x-data, or y-data from the Load Data menu bar.
Related links