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公开(公告)号：US20220342479A1
公开(公告)日：2022-10-27
申请号：US17859765
申请日：2022-07-07
Applicant: Leica Biosystems Imaging, Inc.
Inventor： Allen OLSON , Kiran SALIGRAMA
IPC: G06F3/01 , G16H40/67 , G16H30/20 , G06F3/0485
Abstract: Image viewing in digital pathology using eye-tracking. In an embodiment, a position of a user's gaze on a graphical user interface, comprising at least a portion of a digital slide image within a macro view, is repeatedly detected based on an output from an eye-tracking device. After detecting a change of the user's gaze from a first position to a second position on the graphical user interface, a view of the digital slide image within the macro view is automatically panned based on the second position, so as to move a position on the digital slide image that corresponds to the second position on the graphical user interface toward a center of the macro view.
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公开(公告)号：US20200218053A1
公开(公告)日：2020-07-09
申请号：US16818916
申请日：2020-03-13
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Yunlu ZOU , Allen OLSON , Kiran SALIGRAMA , Ruby CHEN , Peyman NAJMABADI , Greg CRANDALL
IPC: G02B21/24 , G03B13/36 , G02B7/38 , H04N5/232 , G02B21/36 , G02B21/34 , G02B21/26 , G02B21/18 , G02B21/02
Abstract: System for acquiring a digital image of a sample on a microscope slide. In an embodiment, the system comprises a stage configured to support a sample, an objective lens having a single optical axis that is orthogonal to the stage, an imaging sensor, and a focusing sensor. The system further comprises at least one beam splitter optically coupled to the objective lens and configured to receive a field of view corresponding to the optical axis of the objective lens, and simultaneously provide at least a first portion of the field of view to the imaging sensor and at least a second portion of the field of view to the focusing sensor. The focusing sensor may simultaneously acquire image(s) at a plurality of different focal distances and/or simultaneously acquire a pair of mirrored images, each comprising pixels acquired at a plurality of different focal distances.
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公开(公告)号：US20210048606A1
公开(公告)日：2021-02-18
申请号：US17085962
申请日：2020-10-30
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Allen OLSON , Kiran SALIGRAMA , Yunlu ZOU , Peyman NAJMABADI
Abstract: A digital scanning apparatus is provided that includes imaging and focusing sensors and a processor to analyze the image data captured by the imaging and focusing sensors and adjust the focus of the scanning apparatus in real time during a scanning operation. The individual pixels of the imaging sensor are all in the same image plane with respect to the optical path of the digital scanning apparatus. The individual pixels of the focusing sensor are each in a different image plane with respect to the optical path, and one pixel of the focusing sensor is on the same image plane as the image sensor. The processor analyzes image data from the imaging sensor and the focusing sensor and determines a distance and direction to adjust the relative position of an objective lens and a stage of the digital scanning apparatus to achieve optimal focus during the scanning operation.
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Patent Agency Ranking
公开(公告)号：US20180275388A1
公开(公告)日：2018-09-27
申请号：US15763061
申请日：2016-09-23
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Yunlu ZOU , Allen OLSON , Kiran SALIGRAMA , Ruby CHEN , Peyman NAJMABADI , Greg CRANDALL
CPC classification number: G02B21/244 , G02B7/38 , G02B21/02 , G02B21/18 , G02B21/245 , G02B21/26 , G02B21/34 , G02B21/361 , G03B13/36 , H04N5/23212
Abstract: System for acquiring a digital image of a sample on a microscope slide. In an embodiment, the system comprises a stage configured to support a sample, an objective lens having a single optical axis that is orthogonal to the stage, an imaging sensor, and a focusing sensor. The system further comprises at least one beam splitter optically coupled to the objective lens and configured to receive a field of view corresponding to the optical axis of the objective lens, and simultaneously provide at least a first portion of the field of view to the imaging sensor and at least a second portion of the field of view to the focusing sensor. The focusing sensor may simultaneously acquire image(s) at a plurality of different focal distances and/or simultaneously acquire a pair of mirrored images, each comprising pixels acquired at a plurality of different focal distances.
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公开(公告)号：US20220019281A1
公开(公告)日：2022-01-20
申请号：US17281907
申请日：2019-12-19
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Allen OLSON , Kiran SALIGRAMA
IPC: G06F3/01 , G06F3/0485 , G16H30/20 , G16H40/67
Abstract: Image viewing in digital pathology using eye-tracking In an embodiment, a position of a user's gaze on a graphical user interface, comprising at least a portion of a digital slide image within a macro view, is repeatedly detected based on an output from an eye-tracking device. After detecting a change of the user's gaze from a first position to a second position on the graphical user interface, a view of the digital slide image within the macro view is automatically panned based on the second position, so as to move a position on the digital slide image that corresponds to the second position on the graphical user interface toward a center of the macro view.
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公开(公告)号：US20190206056A1
公开(公告)日：2019-07-04
申请号：US16230820
申请日：2018-12-21
Applicant: Leica Biosystems Imaging, Inc.
Inventor： Walter GEORGESCU , Allen OLSON , Bharat ANNALDAS , Darragh LAWLER , Kevin SHIELDS , Kiran SALIGRAMA , Mark GREGSON
Abstract: A convolutional neural network (CNN) is applied to identifying tumors in a histological image. The CNN has one channel assigned to each of a plurality of tissue classes that are to be identified, there being at least one class for each of non-tumorous and tumorous tissue types. Multi-stage convolution is performed on image patches extracted from the histological image followed by multi-stage transpose convolution to recover a layer matched in size to the input image patch. The output image patch thus has a one-to-one pixel-to-pixel correspondence with the input image patch such that each pixel in the output image patch has assigned to it one of the multiple available classes. The output image patches are then assembled into a probability map that can be co-rendered with the histological image either alongside it or over it as an overlay. The probability map can then be stored linked to the histological image.
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公开(公告)号：US20190101723A1
公开(公告)日：2019-04-04
申请号：US16147448
申请日：2018-09-28
Applicant: Leica Biosystems Imaging, Inc.
Inventor： Allen OLSON , Kiran SALIGRAMA , Yunlu ZOU , Peyman NAJMABADI
Abstract: A digital scanning apparatus is provided that includes imaging and focusing sensors and a processor to analyze the image data captured by the imaging and focusing sensors and adjust the focus of the scanning apparatus in real time during a scanning operation. The individual pixels of the imaging sensor are all in the same image plane with respect to the optical path of the digital scanning apparatus. The individual pixels of the focusing sensor are each in a different image plane with respect to the optical path, and one pixel of the focusing sensor is on the same image plane as the image sensor. The processor analyzes image data from the imaging sensor and the focusing sensor and determines a distance and direction to adjust the relative position of an objective lens and a stage of the digital scanning apparatus to achieve optimal focus during the scanning operation.
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公开(公告)号：US20170300617A1
公开(公告)日：2017-10-19
申请号：US15517489
申请日：2016-12-12
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Walter GEORGESCU , Kiran SALIGRAMA , Allen OLSON , Bharat ANNALDAS
CPC classification number: G06F19/24 , G06K9/00 , G06K9/0014 , G06K9/62 , G06K9/80 , G06T7/11 , G06T7/62 , G06T2207/30024
Abstract: Automatic nuclear segmentation. In an embodiment, a plurality of superpixels are determined in a digital image. For each of the superpixels, any superpixels located within a search radius from the superpixel are identified, and, for each unique local combination between the superpixel and any identified superpixels located within the search radius from the superpixel, a local score for the local combination is determined. One of a plurality of global sets of local combinations with an optimum global score is identified based on the determined local scores.
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