RAMAN-BASED IMMUNOASSAY SYSTEMS AND METHODS
    2.
    发明申请

    公开(公告)号:US20180348136A1

    公开(公告)日:2018-12-06

    申请号:US15776649

    申请日:2016-11-16

    CPC classification number: G01N21/65 G01J3/44 G01N2201/0833

    Abstract: This disclosure is directed to systems and methods for fusing Raman data with biomarker data to identify a disease and/or the progression of the disease. The system disclosed herein may include an illumination source for generating interacted photons from a biological sample and a detector for detecting the interacted photons to generate a Raman data set. A processor is included to fuse the Raman data set with a biomarker data set to identify a disease and/or a disease progression. The instant disclosure further includes a method comprising illuminating a biological sample to generate interacted photons, and detecting the interacted photons to generate a Raman data set. A biomarker data set is obtained from the biological sample, and the Raman data set is fused with the biomarker data set to generate an index score. The index score correlates with one or more of a disease and a disease progression.

    SYSTEMS AND METHODS FOR DISCRIMINATION OF TISSUE TARGETS

    公开(公告)号:US20210181101A1

    公开(公告)日:2021-06-17

    申请号:US17121247

    申请日:2020-12-14

    Abstract: Systems for and methods for detecting samples and other compounds of interest are disclosed herein. The system can include an illumination source that is configured to emit light in a variety of different wavelength bands, an optical filter, a camera chip, and an optical path configured to direct the light emitted by the first illumination source at a target and direct the light reflected from the target to the at least one camera chip. The illumination source and the optical filter are transitionable between a first tuning state corresponding to a target tissue and a second tuning state corresponding to a background tissue. The system can be configured to record images at the different tuning states and generate a score image corresponding to the target tissue based on the recorded images.

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