BUCHI Corporation - NIRCal
Manufactured by BUCHI Corporation
NIRCal is a powerful chemometric software package to develop robust NIR methods which lead to fast and reliable NIR prediction results.
NIRCal is a powerful chemometric software package to develop robust NIR methods which lead to fast and reliable NIR prediction results.
Tailored to your need
Achieve the most appropriate calibration from a broad range of chemometric methods (PLS, PCR, MLR, SIMCA and cluster analysis)
Flexible pretreatment of spectral information leads to better prediction models
Allows the integration of existing NIR data from any vendor
Easy and powerful
Shorter method development time due to patented automation “Calibration Wizard”
Time savings through rapid calculation of large data sets
Shared database allows decentralized application of calibrations
Reliable results
Better understanding due to interactive graphical visualization of data
Reliable prediction results thanks to multiple criteria for outlier detection
Ingenious validation tools and detailed calibration protocols
Tailored to your need
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Features of NIRCal
NIRCal Calibration wizard
Patented Calibration Wizard for automated knowledge-based calibration building. It allows fast and easy development and validation of calibrations without any chemometric knowledge. The Calibration Wizard automatically finds the optimal parameters for your calibration from a large number of possibilities. The quality of the individual Wizard calibrations is determined via the NIRCal Q-Value (Calibration Quality Value).
NIRCal Quantitative Calibration Methods
Multivariate quantitative calibration methods Partial Least Square (PLS), Principal component Regression (PCR) , and Multi-Linear Regression (MLR).
NIRCal Model Validation
For validation of the model, you can define a separate validation set. In addition, you also have the option of Cross Validation. Various statistical parameters (SEC, SEP, BIAS, PRESS, r2, … ) assist you in validating calibrations. Statistical tests such as Durbin-Watson or t-Test help you interpret data with a higher degree of reliability. The Durbin- Watson Test checks quantitative methods for linearity. The t-Test checks the equivalence of the validation sample results versus the reference values.
NIRCal Qualitative Calibration Methods
Multivariate qualitative (classification, identification) calibration methods like CLUSTER and SIMCA. Multivariate data analysis with PCA.
NIRCal Interactive graphics
In NIRCal highly interactive graphical visualization of spectral data and all type of chemometric parameters and results can be combined in different plot types: line plot, parallel coordinates plot, scatter plot in 1D, 2D and 3D, surface plot in 2D and 3D.
NIRCal Data Pretreatment
Large selection of 45 data pre-processing algorithms (pretreatments) that can be used in any sequence, e.g. normalization, SNV, derivatives (1st, 2nd, 3rd), smoothing, transformations, offset correction, MSC, custom linear filtering.
General Specifications
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