Mat2dcorr - Relevant Publications: Difference between revisions
(Created page with "Two-dimensional correlation spectroscopy (2D-COS), or two-dimensional correlation analysis is known as a set of mathematical techniques useful to study changes in dynamic spectra. Dynamic spectra are often represented by spectra series obtained from a sample that was subjected to an external perturbation.<br> <br> The 2D-COS analysis technique has been initially developed by [https://en.wikipedia.org/wiki/Isao_Noda Isao Noda] in the 1980s. <ul><ul> {| class="wiki...") |
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== Acknowledgement == | == Acknowledgement == | ||
mat2dcorr is an open source software project which has been initiated and is maintained by [http://www.peter-lasch.de Peter Lasch] at the [http://www.rki.de/EN/Content/Institute/DepartmentsUnits/CenterBioSafety/zbs6/zbs6_node.html ''Proteomics and Spectroscopy''] unit at the [http://www.rki.de ''Robert Koch-Institute''] (Berlin/Germany). The Matlab-based mat2dcorr toolbox is distributed under the Creative Commons CC | mat2dcorr is an open source software project which has been initiated and is maintained by [http://www.peter-lasch.de Peter Lasch] at the [http://www.rki.de/EN/Content/Institute/DepartmentsUnits/CenterBioSafety/zbs6/zbs6_node.html ''Proteomics and Spectroscopy''] unit at the [http://www.rki.de ''Robert Koch-Institute''] (Berlin/Germany). The Matlab-based mat2dcorr toolbox is distributed under the Creative Commons CC BY-NC-SA 4.0 license for non-commercial use. Please send references to any publications, presentations, or successful funding applications that make use of the mat2Dcorr toolbox ([mailto:lasch@peter-lasch.de e-mail]). | ||
In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> <br> | In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> <br> | ||
Revision as of 17:28, 2 April 2023
Two-dimensional correlation spectroscopy (2D-COS), or two-dimensional correlation analysis is known as a set of mathematical techniques useful to study changes in dynamic spectra. Dynamic spectra are often represented by spectra series obtained from a sample that was subjected to an external perturbation.
The 2D-COS analysis technique has been initially developed by Isao Noda in the 1980s.
| Wikipedia link to 2D-COS: Two-dimensional correlation analysis |
Relevant Publications
Main concepts of two-dimensional correlation analysis
Basic principles of generalized 2D correlation spectroscopy are outlined in the following series of scientific publications:
- Noda, I..
Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications,
1990 Appl Spectrosc. 44(4): 550-561. - Noda, I.
Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy,
1993 Appl Spectrosc. 47(9): 1329-1336. - Noda, I.
Determination of Two-Dimensional Correlation Spectra Using the Hilbert Transform,
2000 Appl Spectrosc. 54(7): 994-999.
Publications with application of the mat2dcorr toolbox
(application of heterospectral 2D-COS to spatially resolved hyperspectral imaging data sets)
- Lasch, P. and I. Noda
Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue,
2017 Anal Chem. 89(9): 5008-5016. - Lasch, P. and I. Noda
Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra,
2019 Appl Spectrosc. 73(4): 359-379.
Acknowledgement
mat2dcorr is an open source software project which has been initiated and is maintained by Peter Lasch at the Proteomics and Spectroscopy unit at the Robert Koch-Institute (Berlin/Germany). The Matlab-based mat2dcorr toolbox is distributed under the Creative Commons CC BY-NC-SA 4.0 license for non-commercial use. Please send references to any publications, presentations, or successful funding applications that make use of the mat2Dcorr toolbox (e-mail).
In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper:
| Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra. Lasch, P. and Noda, I. Appl Spectrosc. 2019. 73(4): 359-379. doi:10.1177/0003702818819880 |
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