公开(公告)号：EP2845045A4

公开(公告)日：2016-02-24

申请号：EP13784683

申请日：2013-03-13

Applicant: LEICA BIOSYSTEMS IMAGING INC

Inventor： ZOU YUNLU ,  CRANDALL GREG J ,  OLSON ALLEN

IPC: G02B21/00 ,  G01B9/04 ,  G02B21/24 ,  G02B21/36

CPC classification number: G02B21/006 ,  G02B21/245 ,  G02B21/361 ,  G02B21/365

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：EP2737453A4

公开(公告)日：2015-05-06

申请号：EP12811951

申请日：2012-07-12

Applicant: LEICA BIOSYSTEMS IMAGING INC

Inventor： CRANDALL GREGORY ,  OLSON ALLEN

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

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，包括漂移参考幻灯片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归一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：EP2510494A4

公开(公告)日：2017-07-19

申请号：EP10836742

申请日：2010-12-10

Applicant: LEICA BIOSYSTEMS IMAGING INC

Inventor： OLSON ALLEN ,  EICHHORN OLE

IPC: G06Q50/00 ,  G06T7/00

CPC classification number: G06T7/0012 ,  G06F19/321 ,  G06T2207/10056 ,  G06T2207/30024

Abstract: A digital slide analysis system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of digital slide images. The algorithm server executes a selected routine on an identified digital slide and provides the resulting data. Prior to the application of selected routine, the system employs a digital pre-processing module to create a metadata mask that reduces undesirable image data such that the image data processed by the selected routine has an improved signal to noise ratio. The pre-processing module uses a classifier that may be implemented as a pattern recognition module, for example. Undesirable image data is therefore excluded from the image data that is processed by the digital pathology image processing and analysis routine, which significantly improves the digital pathology image analysis.

Abstract translation: 数字幻灯片分析系统包括算法服务器，该算法服务器维护或访问多个图像处理和分析例程。 算法服务器还可以访问多个数字载玻片图像。 算法服务器在识别的数字幻灯片上执行选定的例程并提供结果数据。 在应用所选例程之前，系统采用数字预处理模块来创建元数据掩码，该元数据掩码减少不需要的图像数据，使得由所选例程处理的图像数据具有改善的信噪比。 例如，预处理模块使用可以被实现为模式识别模块的分类器。 因此不合意的图像数据被从数字病理图像处理和分析程序处理的图像数据中排除，这显着改善了数字病理图像分析。