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Multivariate Image Analysis (MIA) toolbox expands the PLS_Toolbox domain to make analysis of multivariate images simple and expands the functionality of PLS_Toolbox to include many image-specific functions.

With MIA_Toolbox, multivariate images from remote sensing to microscopy can be easily analyzed using the same PLS_Toolbox tools you are already familiar with. MIA_Toolbox allows you to load, manipulate, and analyze multivariate images in the Analysis Graphical interface as well as using many of the higher-level command-line functions. Principal components analysis, multivariate curve resolution, SIMCA and PLSDA classification, K-Means clustering, and even regression can all be performed on images with this extension pack.

MIA_Toolbox also adds a number of functions which are designed to take advantage of the special "spatial" relationship inherent in a multivariate image including functions like Evolving Window Factor Analysis and Maximal Autocorrelative Factors, and a suite of Texture functions.

Find out more about MIA_Toolbox... Users with accounts can purchase or demo it now. Not currently a user? Buy a license or request a demo on-line.

NOTE: MIA_Toolbox requires PLS_Toolbox Version 4.1 or later. You must upgrade your PLS_Toolbox license to Version 4.1 to use MIA_Toolbox.

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Extended Multiplicative Scatter Correction (EMSC) is a powerful preprocessing technique used to isolate and remove complicated multiplicative and additive effects, such as those caused by light scattering in reflectance spectroscopy. It expands on the popular Multiplicative Scatter/Signal Correction (MSC) technique by offering much improved flexibility in identifying known interferences to remove as well as scaling targets and known analyte spectra. Eigenvector Research is offering this powerful patented technique as an add-on for use with PLS_Toolbox as EMSC_Toolbox.

Find out more about EMSC_Toolbox... Users with accounts can purchase or demo it now. Not currently a user? Buy a license or request a demo on-line.

NOTE: EMSC_Toolbox requires PLS_Toolbox Version 4.1 or later. You must upgrade your PLS_Toolbox license to Version 4.1 to use EMSC_Toolbox.

DataSet Object Version 5.00 - July 11, 2007 - The DataSet Standard Data Object (for use with MATLAB) adds a new object type to MATLAB that makes handling and transferring complete data sets easier. Version 5.00 adds string-based classes and the ability to index into the matrix using row or column labels directly. Click here to read more and to download it for FREE.

Eigenvector has several data sets available for download FREE. Use to test your algorithms or to become familiar with new software with known data. Click here for a list of available data sets.

Visual Basic programs to access MATLAB scripts We have made available these example Microsoft Excel(tm) spreadsheets which show how to access MATLAB as an ActiveX server and call PLS_Toolbox functions from any Visual Basic-enabled program.

The Unscrambler® Accessory Pack for Spectroscopy: Developed jointly by CAMO and Eigenvector Research, this is an add-on to The Unscrambler that includes instrument standardization and orthogonal signal correction.