公开(公告)号：US11614363B2

公开(公告)日：2023-03-28

申请号：US17086099

申请日：2020-10-30

Applicant: LEICA BIOSYSTEMS IMAGING, INC.

Inventor： Allen Olson

IPC: G06T7/80 ,  G06T7/33 ,  G06T7/90 ,  G06T7/00 ,  G06V10/75 ,  G01J3/46 ,  G01J3/50 ,  G01N1/30 ,  G01J1/08 ,  G01J3/10 ,  G01J3/28 ,  G02B21/32 ,  G01N21/27 ,  G02B21/36 ,  G06T3/00 ,  G06T3/40

Abstract: Color calibration for digital pathology is provided. A standard glass slide is prepared with a specimen having zero or more stains. The specimen is scanned a first time using a hyperspectral imaging system to produce a first digital image having XYZ color values. The specimen is scanned a second time using a digital pathology imaging system to produce a second digital image having RGB color values. The first and second digital images are then registered against each other to align the digital image data. Individual pixels of the first and second images may be combined in the registration process so that the first and second digital images have substantially similar pixel sizes. A lookup table is generated to associate XYZ color values to RGB color values. Once the lookup table has been generated, it can be used to present RGB color on a display using the corresponding XYZ color.

公开(公告)号：US20220163779A1

公开(公告)日：2022-05-26

申请号：US17650221

申请日：2022-02-07

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Yunlu Zou ,  Gregory Crandall ,  Allen Olson

IPC: G02B21/00 ,  G02B21/24 ,  G02B21/36

Abstract: Systems and methods for capturing a digital image of a slide using an imaging line sensor and a focusing line sensor. In an embodiment, a beam-splitter is optically coupled to an objective lens and configured to receive one or more images of a portion of a sample through the objective lens. The beam-splitter simultaneously provides a first portion of the one or more images to the focusing sensor and a second portion of the one or more images to the imaging sensor. A processor controls the stage and/or objective lens such that each portion of the one or more images is received by the focusing sensor prior to it being received by the imaging sensor. In this manner, a focus of the objective lens can be controlled using data received from the focusing sensor prior to capturing an image of a portion of the sample using the imaging sensor.

公开(公告)号：US10930241B2

公开(公告)日：2021-02-23

申请号：US16206478

申请日：2018-11-30

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Allen Olson ,  Ruben Campos Zurriaga ,  Reiner Jung

IPC: G09G5/00 ,  G09G5/02 ,  G02B21/36

Abstract: Described herein are systems and methods that place a known color monitor (known by unique serial number or SKU) into a desired state for displaying digital pathology image data. Using an application programming interface, any color monitor that implements MCCS can be calibrated and characterized immediately before each display of digital pathology image data and can also be periodically reset (if needed) during display of digital pathology image data.

公开(公告)号：US10852523B2

公开(公告)日：2020-12-01

申请号：US16674742

申请日：2019-11-05

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Leng-Chun Chen ,  Allen Olson ,  Yunlu Zou ,  Peyman Najmabadi ,  Greg Crandall

IPC: G02B21/24 ,  G02B21/00 ,  G06T7/50 ,  H04N5/372

Abstract: Real-time autofocus. In an embodiment, a scanning apparatus includes an imaging sensor, a focusing sensor, an objective lens, and processor(s) configured to analyze image data captured by the imaging and focusing sensors, and move the objective lens. Real-time autofocus during scanning of a sample is achieved by determining a true-Z value for the objective lens for a point on a sample and for each of a plurality of regions on the sample. The true-Z values and/or surfaces calculated therefrom are used to determine a predicted-Z value for an unscanned region of the sample. The objective lens is adjusted to the predicted-Z value at the beginning of the unscanned region. After scanning the region, a true-Z value is determined for the region and compared to the predicted-Z value. A rescan of the region is initiated if the comparison exceeds a predetermined threshold.

公开(公告)号：US10740896B2

公开(公告)日：2020-08-11

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

IPC: G06T7/00 ,  G06K9/00 ,  G06N3/08 ,  G06N5/04 ,  G16H30/20 ,  G06N20/00 ,  G06K9/62 ,  G06K9/46

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.

公开(公告)号：US09366628B2

公开(公告)日：2016-06-14

申请号：US14586337

申请日：2014-12-30

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Gregory Crandall ,  Allen Olson

IPC: G01D18/00 ,  G01N21/64 ,  G06T5/00 ,  G06T5/40 ,  G01N21/27 ,  G02B21/36 ,  G06T7/00 ,  G01J3/44 ,  G01J3/02

CPC classification number: G01N21/64 ,  G01J3/0235 ,  G01J3/0264 ,  G01J3/027 ,  G01J3/4406 ,  G01N21/274 ,  G01N21/278 ,  G01N21/6428 ,  G01N21/6452 ,  G01N21/6458 ,  G01N2021/6471 ,  G02B21/365 ,  G06T5/009 ,  G06T5/40 ,  G06T7/74 ,  G06T7/80 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/10064

Abstract: Systems and methods for standardizing one or more fluorescence scanning instruments to a reference system by separating the effects of drift and normalization. In an embodiment, a drift image comprising an image of a drift reference slide is captured by a system to be standardized. A drift measurement is calculated using the drift image. A first normalization image comprising an image of a normalization slide is also captured by the system to be standardized. A reference normalization image, also comprising an image of the normalization slide, is captured by a reference system. The first normalization image is compared to the reference normalization image to determine a gamma value and offset value for the system to be standardized.

Abstract translation: 通过分离漂移和归一化的影响将一个或多个荧光扫描仪器标准化到参考系统的系统和方法。 在一个实施例中，包括漂移参考滑块的图像的漂移图像由待标准化的系统捕获。 使用漂移图像计算漂移测量。 包括标准化幻灯片的图像的第一标准化图像也被要标准化的系统捕获。 还包括归一化幻灯片的图像的参考归一化图像由参考系统捕获。 将第一归一化图像与参考归一化图像进行比较，以确定要标准化的系统的伽马值和偏移值。

公开(公告)号：US09019546B2

公开(公告)日：2015-04-28

申请号：US14310117

申请日：2014-06-20

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Ole Eichhorn ,  Allen Olson

IPC: G06K15/00 ,  G06K9/46 ,  G06T1/00 ,  G06F3/12

CPC classification number: G06K9/46 ,  G06T1/00

Abstract: Method, systems, and media for processing a digital slide image. In an embodiment, an identification of a macro, representing a plurality of algorithms, and an identification of digital slide image(s) are received over a network. Parameter data is obtained for the identified macro, and the digital slide image(s) are retrieved. The plurality of algorithms represented by the identified macro are executed on the digital slide image(s) according to the parameter data.

Abstract translation: 用于处理数字幻灯片图像的方法，系统和媒体。 在一个实施例中，通过网络接收表示多个算法的宏的标识和数字幻灯片图像的标识。 获得用于所识别的宏的参数数据，并且检索数字幻灯片图像。 由所识别的宏表示的多个算法根据参数数据在数字幻灯片图像上执行。

公开(公告)号：US11747900B2

公开(公告)日：2023-09-05

申请号：US17859765

申请日：2022-07-07

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Allen Olson ,  Kiran Saligrama

IPC: G06V40/18 ,  G06F3/01 ,  G16H40/67 ,  G16H30/20 ,  G06F3/0485 ,  G16H50/20

CPC classification number: G06F3/013 ,  G06F3/017 ,  G06F3/0485 ,  G06V40/18 ,  G16H30/20 ,  G16H40/67 ,  G16H50/20

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.

公开(公告)号：US11385713B2

公开(公告)日：2022-07-12

申请号：US17281907

申请日：2019-12-19

Applicant: LEICA BIOSYSTEMS IMAGING, INC.

Inventor： Allen Olson ,  Kiran Saligrama

IPC: G06F3/01 ,  G16H40/67 ,  G16H30/20 ,  G06F3/0485 ,  G16H50/20

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.

公开(公告)号：US10459193B2

公开(公告)日：2019-10-29

申请号：US16147448

申请日：2018-09-28

Applicant: Leica Biosystems Imaging, Inc.

Inventor： Allen Olson ,  Kiran Saligrama ,  Yunlu Zou ,  Peyman Najmabadi

IPC: G02B7/38 ,  G02B21/02 ,  G02B21/26 ,  G02B7/09 ,  G02B21/36 ,  H04N5/232

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.