Adds new suite of tools including batch processing and peak analysis
OriginLab, a provider of Windows-based analysis and graphing software, has released Origin 8.1, which offers features and improvements to its 8.0 platform, providing productivity enhancements. It has been added with batch processing feature which builds upon the analysis template and recalculate feature of 8.0 version.
The company said that the users can automate repetitive data-handling by creating a custom analysis template, and then using the batch processing tool to apply that template to a group of files. The tool then generates a summary report using settings saved in the template.
In graphing, a new slideshow feature for the presentation of graphs has been incorporated, which provides the ability to export graphs directly to MS PowerPoint. New graph types have been also been added in the new tool, including Ternary Contour, Windrose, and Probability Plots. A new tool for making multiple axis plots has been included.
According to OriginLab, the analysis capabilities have been extended in new version with the introduction of new tools for data reduction, pivot tables, signal decimation, signal envelopes, rise and fall time analysis, x-error bar support for linear regression, and computation of surface area for matrix-data and xyz data. Organising projects with a favourites folder to keep graphs and windows, customisable menus, and to add shortcuts to any Origin window within Project Explorer, are also included.
In addition, some of the other features include are the batch processing of multiple files or datasets with summary report, batch peak analysis, data reduction and data rearrangement tools including pivot table, signal decimation, rise and fall time analysis, signal envelopes, X error bars support for linear regression and custom menu configuration and support for user-defined LabTalk script functions.
Dr Yang, founder and president of OriginLab, said: Origin 8.1 gives you batch processing without writing code. This new tool makes it possible to automate routine data processing tasks without the headache of maintaining home-grown code; a great time-saver for our users.