A SMART TISSUE CLASSIFICATION FRAMEWORK BASED ON MULTI-CLASSIFIER SYSTEMS

    公开(公告)号:US20240210321A1

    公开(公告)日:2024-06-27

    申请号:US18567981

    申请日:2022-06-07

    Applicant: CytoVeris Inc.

    Abstract: A method and system of analyzing an ex-vivo tissue sample is provided. The method includes interrogating the tissue sample a plurality of times, each interrogation using at least one excitation light centered on a wavelength distinct from the others, at least one excitation light produces AF emissions from one or more biomolecules associated with the tissue sample, and another is produces diffuse reflectance signals from the tissue sample; b) using a photodetector to detect the AF emissions or diffuse reflectance signals from the tissue sample, producing photodetector signals representative thereof; c) processing the photodetector signals attributable to the AF emissions using a first trained classifier to determine first data sets indicative of biomolecules; d) processing the photodetector signals attributable to the diffuse reflectance signals using a second trained classifier to determine one or more second data sets; and e) determining a type of the tissue sample.

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