Method and system for compression-based spectral identification
The system compresses unknown spectra into latent space for efficient spectral identification, addressing inefficiencies in large spectral library searches by reducing data processing and storage needs, enabling faster and more accurate chemical composition determination.
JP2026110573APending Publication Date: 2026-07-02THERMO ELECTRONICS SCI INSTR LLC
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- THERMO ELECTRONICS SCI INSTR LLC
- Filing Date
- 2025-12-19
- Publication Date
- 2026-07-02
AI Technical Summary
Technical Problem
Spectral library searches are inefficient due to large library sizes, leading to long search times and high memory requirements, making them unsuitable for local storage on computing devices or scientific instruments.
Method used
A system that compresses unknown spectra into latent space using an encoder and matches them with compressed known spectra, reducing data processing and storage needs, while maintaining accuracy through preprocessing and using a decoder for full spectrum retrieval.
Benefits of technology
Facilitates faster and more scalable spectral identification by reducing computational and storage requirements, improving search speed and accuracy without the need for a local spectral library.
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Smart Images
Figure 2026110573000001_ABST
Abstract
This invention provides a method and system for determining sample composition based on spectral data. [Solution] A scientific instrument for performing spectral analysis comprises a memory for storing computer executable instructions and a processor for executing computer executable instructions, wherein the computer executable instructions perform a first operation using an encoder to compress one or more unknown spectra into one or more compressed unknown spectra in latent space, and a second operation to match one or more compressed unknown spectra with one or more compressed known spectra in order to obtain one or more candidate matches of a sample.
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