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Mat2dcorr - A Matlab Toolbox for 2D-COS - Revision history
2024-03-29T07:10:30Z
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Laschp at 13:35, 18 October 2023
2023-10-18T13:35:34Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 14:35, 18 October 2023</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:<del style="font-weight: bold; text-decoration: none;">2D-COS</del>.<del style="font-weight: bold; text-decoration: none;">jpg</del>|<del style="font-weight: bold; text-decoration: none;">450px</del>|thumb|Mat2dcorr: <del style="font-weight: bold; text-decoration: none;">Screenshot </del>of <del style="font-weight: bold; text-decoration: none;">the </del>2D <del style="font-weight: bold; text-decoration: none;">control window </del>(<del style="font-weight: bold; text-decoration: none;">left) and the window ''2D correlation</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:<ins style="font-weight: bold; text-decoration: none;">GraphAbstr</ins>.<ins style="font-weight: bold; text-decoration: none;">gif</ins>|<ins style="font-weight: bold; text-decoration: none;">500px</ins>|thumb|Mat2dcorr: <ins style="font-weight: bold; text-decoration: none;">Illustration </ins>of <ins style="font-weight: bold; text-decoration: none;">heterospectral </ins>2D<ins style="font-weight: bold; text-decoration: none;">-COS </ins>(<ins style="font-weight: bold; text-decoration: none;">FTIR vs</ins>. <ins style="font-weight: bold; text-decoration: none;">Raman</ins>)]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">analysis ..</del>.<del style="font-weight: bold; text-decoration: none;">'' (right</del>)]]</div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Since its introduction in 1989, 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, pharmacy, biomedical applications, and polymer or nanomaterial research. 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 with 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 may 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.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Since its introduction in 1989, 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, pharmacy, biomedical applications, and polymer or nanomaterial research. 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 with 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 may 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.</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:<del style="font-weight: bold; text-decoration: none;">GraphAbstr</del>.<del style="font-weight: bold; text-decoration: none;">gif</del>|<del style="font-weight: bold; text-decoration: none;">500px</del>|thumb|Mat2dcorr: <del style="font-weight: bold; text-decoration: none;">Illustration </del>of <del style="font-weight: bold; text-decoration: none;">heterospectral </del>2D<del style="font-weight: bold; text-decoration: none;">-COS </del>(<del style="font-weight: bold; text-decoration: none;">FTIR vs</del>. <del style="font-weight: bold; text-decoration: none;">Raman</del>)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:<ins style="font-weight: bold; text-decoration: none;">2D-COS</ins>.<ins style="font-weight: bold; text-decoration: none;">jpg</ins>|<ins style="font-weight: bold; text-decoration: none;">650px</ins>|thumb|Mat2dcorr: <ins style="font-weight: bold; text-decoration: none;">Screenshot </ins>of <ins style="font-weight: bold; text-decoration: none;">the </ins>2D <ins style="font-weight: bold; text-decoration: none;">control window </ins>(<ins style="font-weight: bold; text-decoration: none;">left) and the window ''2D correlation</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">analysis ..</ins>.<ins style="font-weight: bold; text-decoration: none;">'' (right</ins>)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td></tr>
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Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=101&oldid=prev
Laschp at 13:33, 18 October 2023
2023-10-18T13:33:59Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 14:33, 18 October 2023</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l34">Line 34:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|Mat2dcorr: Illustration of <del style="font-weight: bold; text-decoration: none;">Heterospectral </del>2D-COS (FTIR vs. Raman)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|Mat2dcorr: Illustration of <ins style="font-weight: bold; text-decoration: none;">heterospectral </ins>2D-COS (FTIR vs. Raman)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td></tr>
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Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=100&oldid=prev
Laschp: /* Related Publications and Web Links */
2023-10-18T13:21:00Z
<p><span dir="auto"><span class="autocomment">Related Publications and Web Links</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 14:21, 18 October 2023</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Oct02</del>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Oct 02</ins>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td></tr>
</table>
Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=99&oldid=prev
Laschp: /* Related Publications and Web Links */
2023-10-18T13:20:40Z
<p><span dir="auto"><span class="autocomment">Related Publications and Web Links</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 14:20, 18 October 2023</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l38">Line 38:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* I. Noda. [https://doi.org/10.1366/0003702904087398 Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications], 1990 Appl. Spectrosc. 44(4): 550-561</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* I. Noda. [https://doi.org/10.1366/0003702904087398 Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications], <ins style="font-weight: bold; text-decoration: none;">'''</ins>1990<ins style="font-weight: bold; text-decoration: none;">''' ''</ins>Appl. Spectrosc<ins style="font-weight: bold; text-decoration: none;">''</ins>. 44(4): 550-561</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* 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</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* I. Noda. [https://doi.org/10.1366/0003702934067694 Generalized Two- Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy], <ins style="font-weight: bold; text-decoration: none;">'''</ins>1993<ins style="font-weight: bold; text-decoration: none;">''' ''</ins>Appl. Spectrosc<ins style="font-weight: bold; text-decoration: none;">''</ins>. 47(9): 1329-1336</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* 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 </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* I. Noda. [https://doi.org/10.1366/0003702001950472 Determination of Two-Dimensional Correlation Spectra Using the Hilbert Transform], <ins style="font-weight: bold; text-decoration: none;">'''</ins>2000<ins style="font-weight: bold; text-decoration: none;">''' ''</ins>Appl. Spectrosc<ins style="font-weight: bold; text-decoration: none;">''</ins>. 54(7): 994-999 </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* 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. <del style="font-weight: bold; text-decoration: none;">2017</del>, 89, 9, 5008–5016 </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* 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]. <ins style="font-weight: bold; text-decoration: none;"> '''2017''' ''</ins>Anal. Chem<ins style="font-weight: bold; text-decoration: none;">''</ins>., 89, 9, 5008–5016 </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* 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</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* P. Lasch & I. Noda. [https://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra]. <ins style="font-weight: bold; text-decoration: none;">'''</ins>2019<ins style="font-weight: bold; text-decoration: none;">''' ''</ins>Appl. Spectrosc<ins style="font-weight: bold; text-decoration: none;">''</ins>. 73(4): 359-379</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><br> &nbsp; <br></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><br> &nbsp; <br></div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Oct02, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Oct02, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td></tr>
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Laschp
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Laschp: /* Related Publications and Web Links */
2023-10-18T13:19:11Z
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Jul 02</del>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Oct02</ins>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td></tr>
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Laschp
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Laschp: /* Related Publications and Web Links */
2023-07-22T06:26:14Z
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Apr </del>02, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Jul </ins>02, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td></tr>
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Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=84&oldid=prev
Laschp at 16:43, 31 May 2023
2023-05-31T16:43:36Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 17:43, 31 May 2023</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>__FORCETOC__</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>__FORCETOC__</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>mat2dcorr - a free toolbox for performing two-<del style="font-weight: bold; text-decoration: none;">dimensionsonal </del>correlation (2D-COS) analysis with [https://www.mathworks.com Matlab].<br></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>mat2dcorr - a free toolbox for performing two-<ins style="font-weight: bold; text-decoration: none;">dimensional </ins>correlation (2D-COS) analysis with [https://www.mathworks.com Matlab].<br></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>analysis ...'' (right)]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>analysis ...'' (right)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Two</del>-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, <del style="font-weight: bold; text-decoration: none;">pharmaceutics</del>, biomedical applications, and polymer or nanomaterial research<del style="font-weight: bold; text-decoration: none;">, since its early introduction in 1989</del>. 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 <del style="font-weight: bold; text-decoration: none;">by </del>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 <del style="font-weight: bold; text-decoration: none;">can </del>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.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Since its introduction in 1989, two</ins>-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, <ins style="font-weight: bold; text-decoration: none;">pharmacy</ins>, biomedical applications, and polymer or nanomaterial research. 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 <ins style="font-weight: bold; text-decoration: none;">with </ins>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 <ins style="font-weight: bold; text-decoration: none;">may </ins>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.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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</div></td></tr>
</table>
Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=70&oldid=prev
Laschp at 15:24, 2 April 2023
2023-04-02T15:24:29Z
<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:24, 2 April 2023</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:2D-COS.jpg|450px|thumb|Mat2dcorr: Screenshot of the 2D control window (left) and the window '2D correlation</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:2D-COS.jpg|450px|thumb|Mat2dcorr: Screenshot of the 2D control window (left) and the window <ins style="font-weight: bold; text-decoration: none;">'</ins>'2D correlation</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>analysis ... ' (right)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>analysis ...'<ins style="font-weight: bold; text-decoration: none;">' </ins>(right)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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.</div></td></tr>
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Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=69&oldid=prev
Laschp at 15:23, 2 April 2023
2023-04-02T15:23:57Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:23, 2 April 2023</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|<del style="font-weight: bold; text-decoration: none;">Mat2Dcorr</del>: Illustration of Heterospectral 2D-COS (FTIR vs. Raman)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|<ins style="font-weight: bold; text-decoration: none;">Mat2dcorr</ins>: Illustration of Heterospectral 2D-COS (FTIR vs. Raman)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td></tr>
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Laschp
https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_A_Matlab_Toolbox_for_2D-COS&diff=58&oldid=prev
Laschp at 15:09, 2 April 2023
2023-04-02T15:09:06Z
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<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:09, 2 April 2023</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Introduction ==</div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:2D-COS.jpg|450px|thumb|<del style="font-weight: bold; text-decoration: none;">Mat2Dcorr</del>: Screenshot of the 2D control window (left) and the window '2D correlation</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:2D-COS.jpg|450px|thumb|<ins style="font-weight: bold; text-decoration: none;">Mat2dcorr</ins>: Screenshot of the 2D control window (left) and the window '2D correlation</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>analysis ... ' (right)]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>analysis ... ' (right)]]</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related Publications and Web Links ==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|Mat2Dcorr: Illustration of <del style="font-weight: bold; text-decoration: none;">Heterspectral </del>2D-COS (FTIR vs. Raman)]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:GraphAbstr.gif|500px|thumb|Mat2Dcorr: Illustration of <ins style="font-weight: bold; text-decoration: none;">Heterospectral </ins>2D-COS (FTIR vs. Raman)]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis] (Wikipedia) </div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Mar 18</del>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Apr 02</ins>, 2023: more details of the mat2dcorr Matlab toolbox will follow soon</div></td></tr>
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Laschp