Invention Publication
- Patent Title: SYSTEMS AND METHODS FOR DETECTING PARTICLES OF INTEREST USING MULTI-MODEL SPECTRAL ANALYSIS
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Application No.: US18495726Application Date: 2023-10-26
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Publication No.: US20240142359A1Publication Date: 2024-05-02
- Inventor: Sarah Rachel Hernandez , Matthew Theurer
- Applicant: Hyperspectral Corp.
- Applicant Address: US VA Alexandria
- Assignee: Hyperspectral Corp.
- Current Assignee: Hyperspectral Corp.
- Current Assignee Address: US VA Alexandria
- Main IPC: G01N15/02
- IPC: G01N15/02 ; G01N15/06 ; G01N35/00

Abstract:
An example method includes receiving data that includes a set of spectral metrics from interactions of electromagnetic radiation with a sample. A first trained model and a second trained model is applied to at least one of the set of spectral metrics and a set of values based on the set of spectral metrics to obtain a first result and a second result. Based on at least one of the first result and the second result, either a positive particle of interest detection or a negative particle of interest detection for at least one of first particles of interest, a first type of the first particles of interest, and a second type of the first particles of interest for the sample is determined. A particle of interest detection notification that indicates either the positive particle of interest detection or the negative particle of interest detection is generated and provided.
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