Estimation and Reduction of Resonant Mie Scattering (RMieS) From IR Spectra of Biological Cells by Optimization Algorithm
Infrared spectroscopy has attracted considerable attention at many fields of study such as pharmaceutical sciences. How much scattering we have would be based on the similarities range of mid-infrared wavelength and uneven biological samples like cells and tissues. In such cases, the part of the input irradiance wave which does not reach the detector could erroneously be interpreted as absorption intensity. So it shows itself as a broad sinusoidal oscillation in the baseline, and even it would have frequency shifts in the absorbance bands. Based on the studies conducted in this area, the main cause of spectral distortion is the Resonant Mie Scattering. In other words, the real refractive index spectrum plays a prominent role in high scattering. However, pure absorptive components extraction suffers from requiring an appropriate reference spectrum for initialization. It must not contain any scattering contributions which unfortunately cannot be always happened. In this article, a cost function under a clear constraint is presented with regard to the biological data and the scattering structure to spectrum correction. The results show that the creation of eligible cost function using optimization algorithms could have the desired accuracy for biological spectra even without selecting appropriate reference spectrum.
KeywordsInfrared (IR) spectra Scattering Optimization Signal processing
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