Environmental Laboratory Latest Version of Advanced Data Analysis and Graphing Software Available
Systat Software Inc. (USA), a developer and supplier of award-winning scientific software and services, have recently announced SigmaPlot Version 13, the latest version of the advanced scientific data analysis and graphing software package. This version has multiple new graph features including Forest plots and Kernel Density, a smooth probability distribution plot, 10 new colour schemes, additional statistics functions for Principal Components Analysis (PCA) and Analysis of Covariance (ANCOVA) and legend improvements which includes the Direct Labeling method. SigmaPlot version 13 provides researchers with an optimised property interface without tabs, with all properties displayed in one place and instant graph display upon property change. The Graph Properties panel is smaller and has an optional transparency to show graph changes behind it. Version 13 has increased ease of use to quickly analyse data and create exact, publication-quality graphs that best present research results for presentation, publication or the web.
“More than 500,000 scientists and engineers have used SigmaPlot worldwide. It has long been the industry standard for graphing and analysing data in the scientific and engineering communities because it plays a key role in enabling researchers to visually communicate important research results.” said Richard Mitchell, PhD, Senior Scientist at Systat Software, Inc. The new SigmaPlot 13 adds two new analysis methods to extract additional information from your data. Principal Components Analysis finds variables that succinctly describe your data. Analysis of Covariance (ANCOVA) improves the description of your data by including the effect of “nuisance” variables. A total of 24 probability functions have been added that can be used for function fitting or curve visualisation. The Direct Labeling method places the legend items next to their plots rather than in a legend which makes understanding the graph much quicker. Other analysis, user-interface and import/export features together with the simplified Graph Properties dialog introduced in Version 12 combine to make this a significant release” advises Dr. Mitchell.
The important features of SigmaPlot version 13 are: Forest plot combines the results of like studies to improve statistical significance, Kernel density plot is a smooth curve representation of the underlying data distribution, 10 New colour schemes for improved visualisation, Legend improvements including Direct Labeling for increased ease of use, Line widths from a column for custom graph creation, Principal components analysis to determine the major data relationships, Analysis of Covariance (ANCOVA) includes the effects of “nuisance” variables, Added P values to multiple comparisons for non-parametric ANOVAs, Dot density graph with mean and standard error bars for improved data description.
Other new features in this version are: Akaike Information Criterion (AICc) in the Regression Wizard and Dynamic Fit Wizard reports and the Report Options dialogue, Seven weighting functions added to all curve fit equations in standard.jfl, Notebook items can now be rearranged by dragging, SVG and SWF file formats for scalable vector graphics export, Vector PDF export to improve on the existing raster PDF, and file import and export support is added for Versions 13 and 14 of Minitab, Version 9 of SAS, Version 19 of SPSS and Version 13 of Symphony.
SigmaPlot version 13 is available in single user, network and site license options for Corporations, Government agencies, academic and R&D institutions. SigmaPlot version 13 has numerous licensing options from a single user package and network licenses to an institution- or company-wide site license. The SigmaPlot Network License offers concurrent license management, allowing you to install the software on as many computers as you need. Additionally, a free, fully functional demo version is also available for download from the SigmaPlot website.
Technology Advancement Brings Complete Quantification To 3D Data
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EDAX Inc. (USA), manufacturer of X-ray microanalysis and electron diffraction instrumentation, has announced a major advancement in the growing field of 3D microanalysis with the launch of TEAM 3D IQ, delivering the full analysis capabilities of TEAM EDS to 3D datasets.
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“Previous 3D solutions have focused on the reconstruction of a stack of image slices through a sample to produce a 3D rendering. Maps could be displayed by colour coding according to signal intensity, and, while they could be modified with typical visualisation tools like rotation, zoom and thresholding, there was little additional interpretative information available,” notes Dr. Patrick Camus, Director of Innovation at EDAX.
“With TEAM 3D IQ, EDAX has extended the source of typical 3D EDS data sets from simple elemental maps to full spectral imaging data sets for each slice. When sub-sets of the data are extracted for interpretation, a complete spectrum also is extracted, from which full quantification can be performed.
TEAM 3D IQ fully opens up the next dimension in materials characterisation, allowing users to extract the maximum information from their 3D acquisitions. Each X-ray is not only identified but also tagged with x, y and z coordinates, building a true 3D dataset to work from.
“Once the dataset is collected, users have a large toolbox of utilities to choose from, enabling them to fully define the important region of interest. “Along with these standard 3D tools, there are advanced functions like proxigrams and line scans, which allow a deeper understanding of spatial relationships between elements,” adds Dr. Camus.
TEAM 3D IQ is seamlessly integrated with EDAX’s powerful TEAM EDS software, and data can be shared between the programs with a single click. That teamwork enables full utilisation of EDS quant tools for the 3D datasets, including Phase Maps, Quant Maps and Quant Line scans.
TEAM 3D IQ expands the depth of understanding of 3D data, moving the results from the qualitative to the full quantitative domain, giving EDAX users the ultimate tool for materials characterisation in 3D.
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