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公开(公告)号：US20250054144A1
公开(公告)日：2025-02-13
申请号：US18920871
申请日：2024-10-19
Applicant: Ventana Medical Systems, Inc.
Inventor： Michael Barnes , Joerg Bredno , Rebecca C. Bowermaster , Srinivas Chukka , Wen-Wei Liu , Kandavel Shanmugam , Junming Zhu
IPC: G06T7/00 , G01N33/574 , G16H10/00
Abstract: Immune context scores are calculated for tumor tissue samples using continuous scoring functions. Feature metrics for at least one immune cell marker are calculated for a region or regions of interest, the feature metrics including at least a quantitative measure of human CD3 or total lymphocyte counts. A continuous scoring function is then applied to a feature vector including the feature metric and at least one additional metric related to an immunological biomarker, the output of which is an immune context score. The immune context score may then be plotted as a function of a diagnostic or treatment metric, such as a prognostic metric (e.g. overall survival, disease-specific survival, progression-free survival) or a predictive metric (e.g. likelihood of response to a particular treatment course). The immune context score may then be incorporated into diagnostic and/or treatment decisions.
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公开(公告)号：US11842483B2
公开(公告)日：2023-12-12
申请号：US16949030
申请日：2020-10-09
Applicant: VENTANA MEDICAL SYSTEMS, INC.
Inventor： Joerg Bredno , Konstanty Korski , Oliver Grimm
CPC classification number: G06T7/0012 , G06V20/695 , G06T2207/10004 , G06T2207/30024 , G06T2207/30242
Abstract: According to various embodiments, a system and method for processing an image of a biological specimen stained for a presence of at least one lymphocyte biomarker is disclosed. The system and method are configured to detect lymphocytes in the image and compute a foreground segmentation mask based on the lymphocytes detected within the image. Outlines of the detected lymphocytes are identified in the image by filtering the image with the computed foreground segmentation mask. A shape metric may be derived for each of the detected lymphocytes based on the identified lymphocytes outlines. The derived shape metric may be associated with location information for each of the detected lymphocytes and a value of each of the derived shape metric may be compared to a predetermined threshold value. A predictive cell motility label may be assigned to each of the detected lymphocytes based on the comparison.
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公开(公告)号：US20200348501A1
公开(公告)日：2020-11-05
申请号：US16931319
申请日：2020-07-16
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Jim F. Martin , Anindya Sarkar
Abstract: Techniques for acquiring focused images of a microscope slide are disclosed. During a calibration phase, a “base” focal plane is determined using non-synthetic and/or synthetic auto-focus techniques. Furthermore, offset planes are determined for color channels (or filter bands) and used to generate an auto-focus model. During subsequent scans, the auto-focus model can be used to quickly estimate the focal plane of interest for each color channel (or filter band) rather than re-employing the non-synthetic and/or synthetic auto-focus techniques.
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公开(公告)号：US20190129157A1
公开(公告)日：2019-05-02
申请号：US16199286
申请日：2018-11-26
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Jim F. Martin , Anindya Sarkar
Abstract: Techniques for acquiring focused images of a microscope slide are disclosed. During a calibration phase, a “base” focal plane is determined using non-synthetic and/or synthetic auto-focus techniques. Furthermore, offset planes are determined for color channels (or filter bands) and used to generate an auto-focus model. During subsequent scans, the auto-focus model can be used to quickly estimate the focal plane of interest for each color channel (or filter band) rather than re-employing the non-synthetic and/or synthetic auto-focus techniques.
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公开(公告)号：US20180292638A1
公开(公告)日：2018-10-11
申请号：US16010375
申请日：2018-06-15
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Jim F. Martin , Anindya Sarkar
CPC classification number: G02B21/367 , G02B21/006 , H04N1/3876 , H04N5/23212
Abstract: A method and associated method and computer program product for acquiring focused images of a specimen on a slide, by determining optimal scanning trajectories. The method includes capturing a relatively low magnification image of the slide to locate the specimen, forming a grid that includes an arrangement of grid points, overlaying at least part of the grid over a field of view that covers at least part of the specimen, capturing a relatively high magnification Z-stack of images of the specimen within the field of view, determining a best focus for each grid point within said at least part of the grid to form a resulting grid of three dimensional points, and based on the resulting grid, determining one or more three dimensional scanning trajectories.
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Patent Agency Ranking
公开(公告)号：US12067720B2
公开(公告)日：2024-08-20
申请号：US17718747
申请日：2022-04-12
Applicant: Ventana Medical Systems, Inc. , HOFFMANN-LA ROCHE INC.
Inventor： Joerg Bredno , Astrid Heller , Gabriele Hoelzlwimmer
IPC: G06K9/00 , G06F18/211 , G06T7/00 , G06T7/11 , G06V20/69 , G02B21/36 , G06F3/0354
CPC classification number: G06T7/0012 , G06F18/211 , G06T7/0014 , G06T7/11 , G06V20/69 , G06V20/695 , G02B21/365 , G06F3/03545 , G06T2200/24 , G06T2207/10056 , G06T2207/20012 , G06T2207/30024 , G06T2207/30096 , G06T2207/30168 , G06T2207/30204 , G06V2201/031 , G06V2201/07
Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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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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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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公开(公告)号：US11062168B2
公开(公告)日：2021-07-13
申请号：US16010389
申请日：2018-06-15
Applicant: Ventana Medical Systems, Inc.
Inventor： Joerg Bredno , Jim F. Martin
Abstract: Systems and methods for unmixing of multichannel image data in the presence of locally varying image characteristics. Feature images created from a multi-channel input image form a feature vector for each pixel in the input image. Feature vectors are classified based on the local image characteristics, and areas are formed in the input image that share local image characteristics. Each area is unmixed separately using reference vectors that were obtained from regions in example images that have the same image characteristics. The unmixing results are combined to form a final unmixing result image created from the individually unmixed image areas.
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10.发明授权公开(公告)号：US11010892B2
公开(公告)日：2021-05-18
申请号：US16378462
申请日：2019-04-08
Applicant: Ventana Medical Systems, Inc.
Inventor： Michael Barnes , Joerg Bredno , Srinivas Chukka , Christoph Guetter , Auranuch Lorsakul , Anindya Sarkar , Ellen Suzue
Abstract: A digital pathology system and associated method and computer program product provide a quantitative analysis of entire tissue slides as well as intuitive, effective, fast, and precise quantification of biomarker expressions across relevant areas of the entire tissue slides. The digital pathology system enables a novel workflow that allows the user to efficiently outline clinically relevant morphology in its entirety, including solid tumor areas. Quantitative analysis results are then efficiently and intuitively provided to the user for all tissue content (i.e., millions of cells) within seconds. This efficiency is made possible by a pre-computation step that computes and stores image analysis results for later retrieval. Visualizing vast amount of data effectively is another component of the system that provides information and confidence to the user about the biomarker expression levels.
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