Method and apparatus for performing spectral analysis to determine the spectrum of a sample
Neural networks trained with simulated and actual spectra enable rapid and cost-effective quantitative and qualitative spectral analysis, addressing the inefficiencies of traditional iterative methods by reducing evaluation time and costs.
JP2025539483APending Publication Date: 2025-12-05HELMUT FISCHER GMBH & CO INSTITUT FUER ELEKTRONIK UND MESTECHNIK +1
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Patent Information
- Application Number
- JP2025531903
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2022-12-06
- Filing Date
- 2023-12-06
- Publication Date
- 2025-12-05
AI Technical Summary
Technical Problem
Existing spectral analysis methods for determining element concentrations in samples are time-consuming and costly due to iterative parameter optimization procedures.
Method used
A method utilizing neural networks trained with simulated and actual spectra to perform rapid and accurate quantitative and qualitative analysis of sample spectra, employing feature reduction and network optimization techniques.
Benefits of technology
Significantly reduces evaluation time and computational costs while maintaining high accuracy in determining element concentrations and identifying chemical elements in samples.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention relates to a method and an apparatus for performing a spectral analysis for evaluating a spectrum of a sample (12), comprising using a measurement device (11) to direct primary radiation (15) from a light source (14) onto the sample (12), secondary radiation (17) being emitted from the sample (12) or from at least one layer (13) of the sample as a result of excitation of the sample (12) by the primary radiation (15), a spectrum of the secondary radiation (17) being detected by a detector (18), the at least one detected spectrum being supplied by the detector (18) to a computer-aided evaluation device (21) for evaluation, and the at least one detected spectrum being coupled to at least one first network architecture trained for quantitative analysis of the spectrum. The method relates to a method for evaluating the detected spectra using at least one analytical neural network (22) of a first network architecture (26), wherein the neural network (22) of the first network architecture (26) is trained with a plurality of simulated spectra generated based on a physical model (S=P(ф)) using a simulation method, and wherein at least a second network architecture (41) is trained with a second analytical neural network (46) for qualitative analysis of the detected spectra, and results of at least one element concentration and / or at least one element identification of the sample (12) are output from the spectra analyzed by the neural networks (22), (46).
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