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iCalibra is a software platform which significantly extends the capabilities of NIR instruments. The platform provides a complete range of capabilities on a single architecture.
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Automated Data Exchange and Acquisition
Automatically capture all of your NIR spectral data and reference data without lifting a finger! iCalibra's Automated Data Exchange and Acquisition goes on capturing data 24/7, centralizing all required data into a central library, therefore simplifying future analysis. The source of this data can be not only your NIR instruments, but LIMS, spreadsheets, or anything that is capable of generating digital data! Auto Archive and Retrieve
Anyone who generates a lot of spectral data, with the intent of using it again in the future, knows the frustration of poorly managed archiving procedures, especially when they begin looking for their data to use again. If you archive your data, and then cannot retrieve it effortlessly, then for all intents and purposes you have discarded the data. iCalibra's Auto Archive and Retrieve makes archiving and retrieval effortless.
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Pre-Treatment
Codify the pre-treatment method you would like to apply to your calibration sets and allow iCalibra's Pre-Treatment module to execute your instructions automatically on an ongoing basis. AutoRebuild
Models are not about yesterday's data, they are about today's data. iCalibra's AutoRebuild module allows models to update themselves as new data becomes available. 100% automatically! You codify the methodology used to build the model then AutorRebuild takes over.
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iCalibra Algorithm Test Bench
The virtual model 'test bench' enables you to test various algorithms against one another in the preliminary modeling phase. Alternative Algorithm Frame Work
There are many more algorithm options than PLS. Yet until now, it has not been very practical to for users to deploy these. iCalibra's Alternative Algorithm Framework allows users to utlize more 'exotic' machuine learning algorithms such as Gaussian Processes Regression and Support Vector Machine in an industrial setting. In many cases these algorithms offer superior performance over PLS. Model Proving Ground
A proving ground of how alternative models perform 'in the field'. Use iCalibra's Model Proving Ground to run multiple unique models (hundreds if you choose) against one another for days, weeks, months or even years and see which ones outperform. iCalibra's Model Proving Ground also assists in optimizing for seasonal variation.
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Instrument Standardization
Over many years you have accumulated spectral data on an instrument from Manufacturer A. This spectral data has traditionally been rendered useless on an instrument from a different manufacturer. iCalibra standardization empowers you to build a Universal Model which is capable of accepting spectra from any NIR instrument. It even works between dispersive and FT-NIR instruments!
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Data Fusion
iCalibra's Data Fusion module is arguably one of the great breakthroughs in NIR analysis in recent times. Traditionally NIR models are constructed from NIR spectral data only. iCalibra's Data Fusion module facilitates incorporating other disparate yet connected data into your models too. This data can come from simple classifications, other instrument results, even other lab tests. iCalibra's Data Fusion opens up entire new opportunities for NIR, where NIR alone is not sufficiently accurate. One iCalibra user is saving over one million dolllars (USD) per year by exploiting this module! iProcess
iCalibra's iProcess can capture readings from all types of disparate analytical instruments, and use this information to provide feedback on the process control loop.
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Confidence Score
No result is good unless it is known to be good. The addition of an iCalibra Confidence Score to every individual result opens the door to a whole new level of confidence in your decision making. Identify exactly which results you can afford to be confident in, and which you cannot. The iCalibra Confidence Score offers significant advantages over traditional Mahalanobis-based measures. True sample specific confidence intervals that allow you to go beyond having confidence in your model to having confidence in its individual results.
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Classification
Tells you whether the sample you just scanned matches what it is purported to be. Quality Assurance
Detect adulterated product instantly. Typically product adulteration is an arms race with many factors changing constantly. It becomes very complicated to continually update your models to keep up with this. iCalibra's Quality Assurance module does this automatically and constantly learns as 'normal' changes, and as the adulteration methods change.
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Instrument Diagnostics
Centralize control over your remote instruments, and ensure that diagnostic checks are happening when and how you want them to. Centralize the specialist diagnostic work and let the people on the front line get on with their job, safe in the knowledge that the instruments are performing as accurately as possible. iHandheld
Handheld devices are proliferating, generating unprecedented volumes of data. Rather than only being able to use this data locally iHandheld automates the communication of this data back to a central 'processing point' where enhanced models can be constructed and sent back to the handhelds.
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