RAMAN-BASED IMMUNOASSAY SYSTEMS AND METHODS
    2.
    发明申请
    RAMAN-BASED IMMUNOASSAY SYSTEMS AND METHODS 审中-公开
    基于拉曼的免疫系统和方法

    公开(公告)号:WO2017087574A1

    公开(公告)日:2017-05-26

    申请号:PCT/US2016/062361

    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.

    Abstract translation: 本公开涉及用于将拉曼数据与生物标志数据融合以鉴定疾病和/或疾病进展的系统和方法。 本文公开的系统可以包括用于生成来自生物样本的相互作用的光子的照射源和用于检测相互作用的光子以生成拉曼数据集的检测器。 包括处理器以将拉曼数据组与生物标志物数据组融合以识别疾病和/或疾病进展。 本公开还包括一种方法,该方法包括照射生物样本以生成相互作用的光子,并且检测相互作用的光子以生成拉曼数据集。 从生物样品获得生物标记数据集,并将拉曼数据集与生物标记数据集融合以产生指数分数。 指数评分与一种或多种疾病和疾病进展相关。

    SYSTEMS AND METHODS FOR DETECTING ORAL CANCER USING MOLECULAR CHEMICAL IMAGING

    公开(公告)号:WO2021236615A1

    公开(公告)日:2021-11-25

    申请号:PCT/US2021/032931

    申请日:2021-05-18

    Abstract: Methods and systems of identifying oral cancer in vivo are disclosed. An oral cavity of a patient is illuminated with a plurality of illuminating photons. A plurality of interacted photos are received from the oral cavity. The interacted photons may have been absorbed, reflected, scattered or emitted by the oral cavity. The interacted photons are filtered into first and second polarized multi-passband wavelengths using first and second tunable conformal filters, respectively. A detector captures the first and second polarized multi-passband wavelengths. A processor automatically discriminates between cancerous tissue and non-cancerous tissue in an image resolved from the first and second polarized multi-passband wavelengths.

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