Correcting biological infrared spectroscopy data for atmospheric gases and Mie scattering
Abstract: Infrared absorption microscopy is a powerful chemometric tool with a wide variety of applications. It is, however, subject to considerable disturbances from atmospheric gases and scattering effects. As experimental fixes are not always applicable or advisable, data therefore needs to be computationally corrected before any attempt at an interpretation. This work designed, improved and validated several methods to correct such imaging data with varying success. It also provided a reliable way to assess the efficacy of such correction, as well as a set of methods to produce synthetic test data.
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