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WinISI™ 4 Features

• PLS, PCA and MLR calibration algorithms
• LOCAL database management and evaluation tools
• Discriminant analysis
• Repeatability files make calibrations less sensitive to environmental and sample variations
• Scores population structuring programs
• Network management and standardisation tools
• Indicator variable option in calibration development to compensate for laboratory variation
• File management program

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FOSS service and support

More than just an instrument, FOSS solutions are supported by a global network of more than 250 highly trained service engineers.

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WinISI™

Get optimal performance from your NIR or FTIR applications

WinISI™ 4 is the next generation of comprehensive chemometric packages for developing powerful calibrations for ISIscan™ and Foss Integrator™ based instruments.

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Enhanced functionalities and new features in WinISI 4

• Principal component standardization
• Discriminant Analysis
• Fast LOCAL for model optimization
• Enhanced calibration monitor program
• Redesigned Project Manager
• Support for long file names

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Calibrations Chart

PLS vs. LOCAL Calibration models

PLS calibration is a well established method that uses a linear combination of the wavelengths for calibration development, rather than one single wavelength as in ordinary linear regression. PLS is the obvious choice when the number of samples is limited, for systems where the parameter of interest has a linear relationship to the spectra and where the range of the parameter is restricted.

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PLS is a static models that remain unchanged
until a calibration update is made. In contrast, LOCAL calibrations are dynamic. With LOCAL calibrations the spectrum of the unknown sample is compared with spectra in a huge database, and the prediction is based on those of the spectra that most closely resemble the unknown. The unique advantage with LOCAL calibrations is that updates are straightforward. New samples are simply added to the database. Compared with PLS, LOCAL has an advantage better coping with wide range calibrations and large variety where you can mix different products in one model. It can also better cope with unlinear reference methods and dataset.

Ease of use

WinISI 4 can be integrated with ISIscan and Foss Integrator based instruments to easily import spectra and monitor files. WinISI makes it possible for anybody with a minimum of chemometric knowledge to make sophisticated calibration models.

Product fingerprinting and identification of adulteration

Discriminant analysis is a qualitative methodology that can be used to identify a sample as belonging to a particular sample group. WinISI 4 supports 5 different methods and can be used to identify and validate products and raw material or as a screening tool for adulteration.

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Discuss the possibilities with WinISI with your local FOSS representative.