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Precision In Imaging Multivariate Optical Computing, Michael N. Simcock, Michael L. Myrick

Faculty Publications

Multivariate optical computing (MOC) is a method of performing chemical analysis using a multilayer thin-film structure known as a multivariate optical element (MOE). Recently we have been advancing MOC for imaging problems by using an imaging MOE (IMOE) in a normal-incidence geometry and employing normalization by the 1-norm. There are several important differences between the previously described 45° and the normal-incidence imaging, one of which is the measurement precision due to photon counting. We compare this precision to 45° MOC. We also discuss how MOE models with similar values of standard errors of calibration and prediction and similar gain values …