Calculation software worx G2
calibrationdevelopmentWindows

Calculation software - worx G2 - ZEUTEC Opto-Elektronik GmbH - calibration / development / Windows
Calculation software - worx G2 - ZEUTEC Opto-Elektronik GmbH - calibration / development / Windows
Calculation software - worx G2 - ZEUTEC Opto-Elektronik GmbH - calibration / development / Windows - image - 2
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Characteristics

Function
calibration, development, calculation
Operating system
Windows

Description

Application worx G2 is a chemometric software package that is designed for calibration development in the field of NIR spectroscopy. AWX is used to predict chemical characteristics of the near-infrared (NIR) spectrum of a sample. Usually vast knowledge and expertise is required to calculate a calibration model based on spectral data of well-known reference samples using chemometrics. Differing from similar software, Application worx G2 is well structured, guides the user through all steps and emphasises the work flow. Well-arranged wizard windows give comprehensive assistance and thus even allow the layman to develop a calibration utilising multiple linear regression (MLR) or partial least squares regression (PLSR). Throughout the calibration development process with Application worx G2, it is not only possible to choose the automated option to improve the calibration model but also is possible for experts to incorporate invaluable experience into the calibration development. The processed spectra can be simultaneously visualized and some obvious abnormal spectra can be excluded from the model calculation immediately. The spectra used for calculation can also be saved as a new batch for improvement of the models in the future. Multiple PLSR models with different combination of pretreatments can be parallel calculated. User can easily compare them and choose the best model. Application worx G2 compiles an application with calibrations for various properties of the product. The properties of the spectral data obtained from the NIR spectrometers can be predicted by using these applications.

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