Application of multivariate optical computing to near-infrared imaging

  title={Application of multivariate optical computing to near-infrared imaging},
  author={M. Myrick and O. Soyemi and F. Haibach and Lixia Zhang and A. Greer and H. Li and Ryan J. Priore and M. V. Schiza and J. R. Farr},
  booktitle={SPIE Optics East},
Rapid quantitative imaging of chemical species is an important tool for investigating heterogenous mixtures, such as laminated plastics, biological samples and vapor plumes. Using traditional spectroscopic methods requires difficult computations on very large data sets. By embedding a spectral pattern that corresponds to a target analyte in an interference filter in a beamsplitter arrangement; the chemical information in an image can be obtained rapidly and with a minimal amount of computation… Expand
Raman imaging.
Molecular Factor Computing for Predictive Spectroscopy


Multivariate image analysis
Numerical methods for unconstrained optimization and nonlinear equations
Myrick, “Multivariate Optical Computation for Predictive Spectroscopy,” Anal.Chem
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