Multivariate Analysis for NanoRam®-1064 Materials Identification

The reduced variable multivariate analysis (RVM) algorithm is an advanced identification technique that was developed especially for the NanoRam-1064. The RVM algorithm incorporates a patent-pending variable reduction step that gives it a higher specificity and selectivity than other methods including PCA-based algorithms. Using the RVM algorithm paired with the 1064nm technology provides users with a more effective method of differentiating between tough samples.

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With RVM algorithm implemented on the NanoRam-1064 you have more robust methodologies for rapid, nondestructive sample verification of darker materials and those that exhibit strong fluorescence.