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公开(公告)号：US20230184658A1
公开(公告)日：2023-06-15
申请号：US18146881
申请日：2022-12-27
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Auranuch Lorsakul
IPC: G01N15/02 , G16H10/40 , G16H50/70 , G16H30/40 , G06V20/69 , G01N15/14 , G06K1/00 , G06F18/232 , G06V10/25 , G06V10/762
CPC classification number: G01N15/0227 , G16H10/40 , G16H50/70 , G16H30/40 , G06V20/695 , G01N15/1463 , G06K1/00 , G06F18/232 , G06V10/25 , G06V10/763 , G06V2201/03 , G01N2015/1497
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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公开(公告)号：US11959848B2
公开(公告)日：2024-04-16
申请号：US18146881
申请日：2022-12-27
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Auranuch Lorsakul
IPC: G01N15/02 , G01N15/0227 , G01N15/14 , G06F18/232 , G06K1/00 , G06V10/25 , G06V10/762 , G06V20/69 , G16H10/40 , G16H30/40 , G16H50/70
CPC classification number: G01N15/0227 , G01N15/1463 , G06F18/232 , G06K1/00 , G06V10/25 , G06V10/763 , G06V20/695 , G16H10/40 , G16H30/40 , G16H50/70 , G01N2015/1497 , G06V2201/03
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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公开(公告)号：US20210383091A1
公开(公告)日：2021-12-09
申请号：US16892075
申请日：2020-06-03
Applicant: VENTANA MEDICAL SYSTEMS, INC.
Inventor： Joerg Bredno , Auranuch Lorsakul
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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4.发明公开公开(公告)号：US20230230242A1
公开(公告)日：2023-07-20
申请号：US18170788
申请日：2023-02-17
Applicant: Ventana Medical Systems, Inc.
Inventor： Auranuch Lorsakul , Zuo Zhao , Yao Nie , Xingwei Wang , Kien Nguyen
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/20084
Abstract: The present disclosure relates to techniques for transforming digital pathology images obtained by different slide scanners into a common format for image analysis. Particularly, aspects of the present disclosure are directed to obtaining a source image of a biological specimen, the source image is generated from a first type of scanner, inputting into a generator model a randomly generated noise vector and a latent feature vector from the source image as input data, generating, by the generator model, a new image based on the input data, inputting into a discriminator model the new image, generating, by the discriminator model, a probability for the new image being authentic or fake, determining whether the new image is authentic or fake based on the generated probability, and outputting the new image when the image is authentic.
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公开(公告)号：US11568657B2
公开(公告)日：2023-01-31
申请号：US16892075
申请日：2020-06-03
Applicant: VENTANA MEDICAL SYSTEMS, INC.
Inventor： Joerg Bredno , Auranuch Lorsakul
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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Patent Agency Ranking
公开(公告)号：US20220292277A9
公开(公告)日：2022-09-15
申请号：US16892075
申请日：2020-06-03
Applicant: VENTANA MEDICAL SYSTEMS, INC.
Inventor： Joerg Bredno , Auranuch Lorsakul
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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公开(公告)号：US20220148176A1
公开(公告)日：2022-05-12
申请号：US17586982
申请日：2022-01-28
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg BREDNO , Auranuch Lorsakul
Abstract: The present application provides for systems and methods for detecting and estimating signals corresponding to one or more biomarkers in biological samples stained for the presence of protein and/or nucleic acid biomarkers. On particular aspect is directed to a method of estimating an amount of signal corresponding to at least one biomarker in an image of a biological sample. The method includes detecting isolated spots in a first image, deriving an optical density value of a representative isolated spot based on signal features from the detected isolated spots, estimating a number of predictive spots in signal aggregates in each of a plurality of sub-regions based on the derived optical density value of the representative isolated spot, and storing the estimated number of predictive spots and detected isolated spots in each of the plurality of generated sub-regions in a database.
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公开(公告)号：US20240201063A1
公开(公告)日：2024-06-20
申请号：US18592400
申请日：2024-02-29
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Auranuch Lorsakul
IPC: G01N15/0227 , G01N15/14 , G01N15/1433 , G06F18/232 , G06K1/00 , G06V10/25 , G06V10/762 , G06V20/69 , G16H10/40 , G16H30/40 , G16H50/70
CPC classification number: G01N15/0227 , G01N15/1433 , G06F18/232 , G06K1/00 , G06V10/25 , G06V10/763 , G06V20/695 , G16H10/40 , G16H30/40 , G16H50/70 , G01N2015/1497 , G06V2201/03
Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.
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9.发明公开公开(公告)号：US20230186470A1
公开(公告)日：2023-06-15
申请号：US18064844
申请日：2022-12-12
Applicant: Ventana Medical Systems, Inc.
Inventor： Jungwon Kim , Auranuch Lorsakul , Yao Nie , Xingwei Wang , Zuo Zhao
CPC classification number: G06T7/0012 , G06V10/70 , G01N33/53 , G06T2207/30024
Abstract: A multiplex image is accessed that depicts a particular slice of a particular sample stained with two or more dyes. Using a Generator network, a predicted singleplex image is generated that depicts the particular slice of the particular sample stained with each of the expressing biomarkers. The Generator network may have been trained by training a machine-learning model using a set of training multiplex images and a set of training singleplex images. Each of the set of training multiplex images depicted a slice of a sample stained with two or more dyes. Each of the set of training singleplex images depicted a slice of a sample stained with a single dye. The machine-learning model included a Discriminator network configured to discriminate whether a given image was generated by the Generator network or was a singleplex image of a real slide. The method further includes outputs the predicted singleplex image.
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公开(公告)号：US11615532B2
公开(公告)日：2023-03-28
申请号：US17586982
申请日：2022-01-28
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Auranuch Lorsakul
Abstract: The present application provides for systems and methods for detecting and estimating signals corresponding to one or more biomarkers in biological samples stained for the presence of protein and/or nucleic acid biomarkers. On particular aspect is directed to a method of estimating an amount of signal corresponding to at least one biomarker in an image of a biological sample. The method includes detecting isolated spots in a first image, deriving an optical density value of a representative isolated spot based on signal features from the detected isolated spots, estimating a number of predictive spots in signal aggregates in each of a plurality of sub-regions based on the derived optical density value of the representative isolated spot, and storing the estimated number of predictive spots and detected isolated spots in each of the plurality of generated sub-regions in a database.
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