Phase Correction for Reflective Optical Spectra Distortions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vibrational spectroscopy and micro-spectroscopy applications, such as infrared and Raman spectroscopy, face contamination issues due to Mie scattering and Resonance Mie scattering artifacts, which distort spectral patterns and complicate chemical composition analysis, especially in medical diagnostics like Spectral Cytopathology and Spectral Histopathology, requiring inefficient and subjective correction methods.
Innovation Solution
A spectroscopy system and process that corrects reflective distortions by transforming spectra into the optical path-difference domain, performing reverse and forward Fourier transformations, and recombining real and imaginary parts with optimized phase angles to produce artifact-free spectra, eliminating the need for a priori input data and significantly reducing computational time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for removing Mie scattering distortions (such as EMSC iterative correction) are used, then spectral distortion correction is achieved, but computational time becomes excessively long (measured in days)
Solution Approach 1:
The patent changes the fundamental parameters of the correction approach by using second derivative spectra instead of original spectra, and by employing a non-iterative phase correction method. This transforms the computation from days to seconds, achieving the same correction effect with dramatically reduced time loss.
Solution Approach 2:
The patent performs preliminary action by calculating the second derivative of the spectrum before applying phase correction. This pre-processing step simplifies the subsequent correction process and eliminates the need for iterative iterations, directly reducing computational time while maintaining correction accuracy.
2Measurement precision
If iterative EMSC correction methods are applied to correct each spectrum in a dataset, then spectral correction is achieved, but the process requires 1,000,000 correction runs for 1000 spectra
Solution Approach 1:
The patent applies preliminary action by pre-calculating the second derivative of the reference spectrum and using it in a non-iterative correction formula. This eliminates the need for 1,000,000 iterative correction runs, dramatically reducing process complexity while maintaining accuracy.
Solution Approach 2:
The patent substitutes the mechanical iterative correction process with a direct mathematical formula based on phase correction principles. This replacement reduces the correction process from millions of iterations to a single computational step, simplifying the overall system complexity.
3Measurement precision
If phase correction is applied to correct spectral band shapes, then reflective distortion is reduced, but the process requires a priori input data and is computationally intensive
Solution Approach 1:
The patent enables self-service by using the spectrum itself (through its second derivative) as the basis for correction, eliminating the need for external a priori input data. The method automatically generates the correction parameters from the spectrum being corrected, reducing both data requirements and computational complexity.
Solution Approach 2:
The patent changes the parameter used for correction from original spectral data to second derivative data. This parameter transformation enables the correction to be performed without a priori input data while reducing computational requirements, as the second derivative simplifies the mathematical operations needed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables fast and objective correction of spectral distortions, improving the accuracy of chemical composition analysis, enhancing diagnostic capabilities in medical applications, and applying to various spectroscopy forms like DRIFTS and CARS, with computational speeds of 5000 spectra per second and easy integration into imaging and diagnostic routines.
Implementation Method 1
performing reverse and forward Fourier transformations
Implementation Method 2
Mie scattering manifests as broad, undulating background features
Implementation Method 3
The interaction of Mie scattering and the mixing of dispersive band shapes are known as Resonance Mie ('RMie') scattering
Implementation Method 4
the anomalous dispersion of the refractive index
Data Source
AI summary
Disclosed herein is a process and system to correct reflective distortions of an optical spectrum. In addition, a spectroscopy system that compensates for reflective distortions is disclosed.