Joe Lee

TL;DR: In this paper a preliminary algorithm for correcting RMieS is presented and evaluated using simulated data and results show that the 'dispersion artefact' appears to be removed; however, the correction is not perfect.

TL;DR: In this article, the authors use synchrotron radiation FTIR micro-spectroscopy to record spectra of mono-dispersed poly(methyl methacrylate) (PMMA) spheres of systematically varying size and demonstrate that the spectral distortions in the data can be understood in terms of resonant Mie scattering.

TL;DR: An iterative algorithm is presented that applies full Mie scattering theory to IR spectroscopy and a curve-fitting step is implemented on the new reference spectrum to avoid noise accumulation.

TL;DR: It is demonstrated that the spectrum at any point is a weighted sum of the sample reflection and transmission and that the dominance of the reflection spectrum in optically dense regions can account for some of the spectral distortions previously attributed to dispersion artefacts.

TL;DR: It is shown that spectra can be distorted such that classification fails leading to inaccurate tissue segmentation which may have subsequent implications for disease diagnostics applications and for imaging and classification systems.