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    SYSTEM AND METHOD FOR AUTOMATED DETECTION AND MONITORING OF DYSPLASIA AND ADMINISTRATION OF CHEMOPREVENTION
    1.
    发明专利
    SYSTEM AND METHOD FOR AUTOMATED DETECTION AND MONITORING OF DYSPLASIA AND ADMINISTRATION OF CHEMOPREVENTION 未知

    公开(公告)号：CA3009813A1

    公开(公告)日：2017-07-06

    申请号：CA3009813

    申请日：2016-12-28

    Applicant: VISIONGATE INC

    Inventor： NELSON ALAN C ,  MEYER MICHAEL G

    IPC: G01N33/48 ,  A61B8/13 ,  A61P35/00 ,  A61P35/04 ,  G01N21/64 ,  G01N33/483 ,  G01N33/487

    Abstract: A method for automated detection, monitoring and treatment of dysplasia by analyzing 3D reconstructed images of cells obtained from a specimen includes a biological specimen classifier that classifies cells from the sputum specimen as normal or abnormal. If abnormal cells are detected, then the abnormal cells are further classified as pre-cancerous or cancerous. Pre-cancerous cells are further sub-classified as being of glandular origin or squamous origin (dysplastic cells). This information would be used to define patient therapy so that if the cells are classified as dysplastic, then a cancer chemoprevention pharmaceutical like iloprost is administered to the subject over a predetermined time period to achieve a therapeutic dosage, and if only malignant cells were found or malignant and pre-cancerous cells were found, then next steps would involve patient triage to biopsy and surgery and possibly use of a cancer chemoprevention pharmaceutical.

    OPTICAL TOMOGRAPHY OF SMALL OBJECTS USING PARALLEL RAY ILLUMINATION AND POST-SPECIMEN OPTICAL MAGNIFICATION
    2.
    发明申请
    OPTICAL TOMOGRAPHY OF SMALL OBJECTS USING PARALLEL RAY ILLUMINATION AND POST-SPECIMEN OPTICAL MAGNIFICATION 审中-公开
    使用平行射线照射和后验光子光学放大的小对象的光学平面图

    公开(公告)号：WO2007021557A3

    公开(公告)日：2007-11-15

    申请号：PCT/US2006030155

    申请日：2006-08-02

    Applicant: VISIONGATE INC

    Inventor： MEYER MICHAEL G ,  RAHN JOHN RICHARD ,  NELSON ALAN C ,  JOHNSON ROGER H

    IPC: G06K9/00

    CPC classification number: G01N21/4795 ,  G01N15/147 ,  G01N15/1475

    Abstract: A shadowgram optical tomography system for imaging an object of interest (1). The shadowgram optical tomography system includes a parallel ray light source (35) for illuminating the object of interest (1) with a plurality of parallel radiation beams (36), an object containing tube (304), where the object of interest (1) is held within the object containing tube (304) such that it is illuminated by the plurality of parallel radiation beams (36) to produce emerging radiation (61) from the object containing tube (304), a detector array (39) located to receive the emerging radiation (61), and a system and method for tracking an image of the object of interest (1).

    Abstract translation: 一种用于对感兴趣对象进行成像的阴影图光学层析成像系统（1）。 阴影图光学层析摄影系统包括用于用多个平行辐射束（36）照射感兴趣物体（1）的平行射线光源（35），物体容纳管（304），其中感兴趣对象（1） 被保持在物体容纳管（304）内，使得其被多个平行辐射束（36）照射以从物体容纳管（304）产生出射辐射（61），检测器阵列（39）位于接收 新兴辐射（61），以及用于跟踪感兴趣对象的图像的系统和方法（1）。

    FUNCTIONAL IMAGING OF CELLS OPTICAL PROJECTION TOMOGRAPHY
    3.
    发明申请
    FUNCTIONAL IMAGING OF CELLS OPTICAL PROJECTION TOMOGRAPHY 审中-公开
    细胞的功能成像光学投影测量

    公开(公告)号：WO2009155151A3

    公开(公告)日：2010-02-25

    申请号：PCT/US2009046558

    申请日：2009-06-08

    Applicant: VISIONGATE INC ,  RAHN J RICHARD ,  YU JULIA OI YAN ,  TOUROVSKAIA ANNA V ,  LANCASTER CHRISTY A ,  MEYER MICHAEL G ,  NEUMANN THOMAS ,  FAUVER MARK E

    Inventor： RAHN J RICHARD ,  YU JULIA OI YAN ,  TOUROVSKAIA ANNA V ,  LANCASTER CHRISTY A ,  MEYER MICHAEL G ,  NEUMANN THOMAS ,  FAUVER MARK E

    IPC: G01N21/17 ,  A61B10/00 ,  G01N33/483 ,  G06T17/00

    CPC classification number: G06T11/006 ,  G01N15/1434 ,  G01N15/1475 ,  G01N21/49 ,  G01N21/6458 ,  G01N2015/1445

    Abstract: A method for 3D imaging of a biologic object (1 ) in an optical tomography system where a subcellular structure of a biological object (1 ) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1 ) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1 ) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1 ) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1 ) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1 ).

    Abstract translation: 一种用于在其中通过引入至少一种纳米颗粒 - 生物标志物标记生物体（1）的亚细胞结构的光学层析成像系统中的生物物体（1）的3D成像的方法。 标记的生物体（1）相对于显微镜物镜（62）移动以呈现不同的视角，并且用波长在150nm和900nm之间的辐射照射标记的生物物体（1）。 用彩色照相机或一组至少四个单色照相机检测在至少一个波长带内通过标记的生物物体（1）和显微镜物镜（62）发射的辐射。 形成并重构来自感测辐射的生物体（1）的多个横截面图像，以便制成标记的生物体（1）的3D图像。

    FOCAL PLANE TRACKING FOR OPTICAL MICROTOMOGRAPHY
    5.
    发明专利
    FOCAL PLANE TRACKING FOR OPTICAL MICROTOMOGRAPHY 未知

    公开(公告)号：CA2663744C

    公开(公告)日：2016-04-26

    申请号：CA2663744

    申请日：2007-09-11

    Applicant: UNIV WASHINGTON ,  VISIONGATE INC

    Inventor： FAUVER MARK E ,  SEIBEL ERIC J ,  MEYER MICHAEL G ,  NELSON ALAN C ,  RAHN RICHARD J ,  NEUMANN THOMAS ,  JOHNSON ROGER H

    IPC: G01N15/10 ,  C12M1/34 ,  G01B11/24

    Abstract: A method for tracking an object (414) in a system for optical tomography, where the object (414) is contained in a tube (410) having a center of rotation (422), the object (414) has a centroid (415), and the object (414) is offset from the center of rotation. Image data is acquired by scanning the object (414) through an extended depth of field while the object (414) is being rotated. A distance value of the object (414) centroid (415) from the center of rotation is calculated from the image data, A rotation angle value (.beta.R) is caicuiated from the acquired image data. An extent of the object (414) is determined limiting the extended depth of field being scanned to less than or equal to the extent of the object (414) so as to increase image resolution in a resultant pseudoprojection image.

    SYSTEM AND METHOD FOR DETERMINING CELL ADEQUACY IN A CYTOLOGICAL ANALYSIS SYSTEM
    8.
    发明专利
    SYSTEM AND METHOD FOR DETERMINING CELL ADEQUACY IN A CYTOLOGICAL ANALYSIS SYSTEM 未知

    公开(公告)号：CA2990624A1

    公开(公告)日：2017-01-05

    申请号：CA2990624

    申请日：2016-06-27

    Applicant: VISIONGATE INC

    Inventor： MEYER MICHAEL G ,  KATDARE RAHUL ,  PRESLEY CHRIS ,  BELL TIMOTHY

    IPC: G01N33/483

    Abstract: A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving cells from the specimen and enriching the cells before embedding the enriched cells into an optical medium. The embedded cells are injected into a capillary tube where pressure is applied until a cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.

    AI-BASED CELL CLASSIFICATION METHOD AND SYSTEM
    9.
    发明专利
    AI-BASED CELL CLASSIFICATION METHOD AND SYSTEM 未知

    公开(公告)号：AU2023317489A1

    公开(公告)日：2025-02-20

    申请号：AU2023317489

    申请日：2023-07-28

    Applicant: VISIONGATE INC

    Inventor： MEYER MICHAEL G

    IPC: G01N15/14 ,  G01N33/483 ,  G06N3/08 ,  G06N20/00 ,  G06T7/00 ,  G06V10/40

    Abstract: The present disclosure provides a system and method for AI-based cell classification of cells from a patient sample to determine if cells indicative of lung cancer are present. In the system and method, 2D imaging is used to eliminate cells not likely to be indicative of lung cancer from subsequent 3D imaging, while 3D imaging is conducted for cells likely to be indicative of lung cancer. The present disclosure further provides a method of training 2D cell classifiers for use in the system and method for AI-based cell classification.

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