Optimization of the rolling-circle filter for Raman background subtraction

Area of Science:

• Spectroscopy
• Analytical Chemistry
• Optical Physics

Background:

• Raman spectroscopy is a powerful technique for molecular analysis.
• Broadband background signals often obscure spectral features.
• Accurate background subtraction is crucial for reliable data interpretation.

Purpose of the Study:

• To propose and optimize a high-pass filter for effective background signal removal in Raman spectra.
• To analyze the filter's characteristics and spectral distortions using a spectral approach.
• To demonstrate the practical application of the optimized filter on real-world spectral data.

Main Methods:

• Development and optimization of a high-pass filter algorithm.
• Spectral analysis to characterize filter performance and identify potential distortions.
• Application and validation using experimental Raman spectra.

Main Results:

• Successful subtraction of broadband background signals from Raman spectra.
• Characterization of the optimized filter's behavior and its impact on spectral fidelity.
• Demonstration of improved spectral quality with real-world examples.

Conclusions:

• The proposed optimized high-pass filter effectively removes broadband background noise in Raman spectroscopy.
• The spectral analysis confirms the filter's performance and quantifies distortions.
• This method enhances the reliability and accuracy of Raman spectral analysis.