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公开(公告)号:US20220196557A1
公开(公告)日:2022-06-23
申请号:US17601631
申请日:2020-04-06
Applicant: CYTOVERIS INC.
Inventor: Guoan Zheng , Alan Kersey , Rishikesh Pandey , David Fournier
Abstract: An apparatus and method for analyzing a tissue sample to provide depth-selective information includes at least one light source, collection light optics, and a light detector. The light source is configured to produce a light beam having one or more wavelengths of light that cause a tissue sample to produce Raman light signals upon interrogation of the tissue sample. The light beam is oriented to impinge on an exposed surface of the tissue sample at a point of incidence (POI), and oriented so that the light beam enters the tissue sample at an oblique angle relative to the exposed surface of the tissue sample. The collection light optics are configured to collect the Raman light signals emanating from the tissue sample at one or more predetermined lateral distances from the point of incidence. The light detector is configured to receive the Raman light signals from the collection light optics.
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公开(公告)号:US20230162410A1
公开(公告)日:2023-05-25
申请号:US17992613
申请日:2022-11-22
Applicant: CytoVeris Inc.
Inventor: Rishikesh Pandey , Guoan Zheng , Alan Kersey
CPC classification number: G06T11/001 , G01N21/6486 , G06T3/40 , G06T7/30 , G06T2207/10064 , G06T2207/10152 , G06T2207/20016 , G06T2207/30024 , G06T2210/41
Abstract: A system for and method of producing a virtually stained histological tissue sample is provided that includes: a) acquiring a plurality of autofluorescence (AF) images of an unstained tissue sample, each AF image of the plurality of images produced by interrogating the tissue sample at an AF excitation wavelength configured to produce AF emissions at an AF emission wavelength, wherein the AF excitation wavelength and the AF emission wavelength used to produce each AF image of the plurality of AF images is different from the AF excitation wavelength and the AF emission wavelength used to produce the other AF images of the plurality of AF images; b) virtually staining the tissue sample using the plurality of AF images using artificial intelligence to represent a coloration of at least one histological stain; and c) producing a virtually stained histological tissue sample from the virtual staining.
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