Mat2dcorr - Relevant Publications

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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.

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:

 

Publications with application of the mat2dcorr toolbox
(application of heterospectral 2D-COS to spatially resolved hyperspectral imaging data sets)

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 license for non-commercial use. Please send me 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:
 

Bug reports are welcome! (e-mail)