Prediction Model Adjustment, Model Correction, Model Updates
Q: In case if I would like to correct or update some of information of calibration, how I do that then?
A: That is no problem, because our delivered Calibration Report (a PDF file) contains the optimal settings and information needed to build your calibration with your NIR Data and your NIR software for your NIR instrument. With that you are free to adjust and make changes if you like.
Q: Why is it recommended to recalibrate the NIRS on an ongoing basis?
A: read more
Q: Are our NIR Calibration Models independent of any kind of spectrometer?
A: The calibrations we develop with your NIR data are customized for your spectrometer (any brand).
Q: Are the NIR Calibrations compatible with my NIR spectrometer?
A: The customized calibrations based on your data will fit your NIR spectrometer’s resolution and wavelength range.
Q: What do you mean by “to rebuild the calibration in the used software”?
A: Our calibration report says something like: For the given data, the best calibration model required multiplicative scatter correction for preprocessing, a 2nd derivative Savitsky Golay filtering with 15 points window size, PLS with 5 components, etc.
Q: What kind of NIR application you have and what equipment they support?
A: All major NIR and FT-NIR spectrometers are supported. We deliver the optimal calibration settings for your custom NIR data for your applicative purpose. We do not sell any NIR spectra files or any application/calibration files.
Q: What is the maximal number of parameters of a NIR Calibration?
A: We build and optimize each NIR Calibration for one parameter. That gives the possibility to use all advantages of spectral pre-processing and variable selection to get a robust and precise model. Your data files can contain multiple spectra with multiple parameters (there is no limit).
Q: How much is your service (NIR Calibration Models)?
Q: Why is the price related to the number of spectra?
A: To develop a NIR Calibration you need different measured NIR spectrum from many different samples and their associated Lab-values (constituents, parameters). The price depends on the spectrum count. The higher the data size, the higher is the processing effort.