Methods for feature analysis on consecutive tissue sections
    1.
    发明授权
    Methods for feature analysis on consecutive tissue sections 有权
    连续组织切片特征分析方法

    公开(公告)号:US08787651B2

    公开(公告)日:2014-07-22

    申请号:US13247991

    申请日:2011-09-28

    IPC分类号: G06K9/00

    摘要: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

    摘要翻译: 在连续组织切片(FACTS)上的特征分析包括从组织样本获得多个连续的组织切片,用至少一个生物标志物染色切片,获得其数字图像,以及鉴定所述切片的中间的一个或多个感兴趣区域 连续组织切片。 注册连续组织部分的数字图像以进行对准,并且将一个或多个感兴趣区域从中间部分的图像转移到相邻部分的图像。 然后对连续组织切片的每个图像进行分析并适当评分。 使用FACTS方法,病理学家注释时间缩短到一个幻灯片。 可选地,可以针对感兴趣的区域注释多个中间部分,并相应地传送。

    CELL-BASED TISSUE ANALYSIS
    2.
    发明申请
    CELL-BASED TISSUE ANALYSIS 有权
    基于细胞的组织分析

    公开(公告)号:US20150004630A1

    公开(公告)日:2015-01-01

    申请号:US13934237

    申请日:2013-07-03

    IPC分类号: G01N33/50

    摘要: Methods for cell-based tissue analysis utilize modern trends in digital microscopy to obtain, process, calibrate, and analyze digital images of tissue sections to quantify cell-based data for improved histological analysis. Using data from multiple images of a common tissue section, or data from images of multiple tissue sections, additional degrees of freedom are realized and the resulting analysis provides added depth to histological analysis of tissue samples. With computerized analytical methods, speed and accuracy of histological analysis is greatly improved.

    摘要翻译: 基于细胞的组织分析的方法利用数字显微镜中的现代趋势来获得,处理,校准和分析组织切片的数字图像,以量化基于细胞的数据以改善组织学分析。 使用来自多个组织部分的多个图像的数据或来自多个组织切片图像的数据,实现了附加的自由度,并且所得到的分析为组织样本的组织学分析提供了附加的深度。 采用电脑化分析方法,大大提高了组织学分析的速度和准确性。

    METHODS FOR FEATURE ANALYSIS ON CONSECUTIVE TISSUE SECTIONS
    3.
    发明申请
    METHODS FOR FEATURE ANALYSIS ON CONSECUTIVE TISSUE SECTIONS 有权
    方法分析组织组织特征分析

    公开(公告)号:US20120076390A1

    公开(公告)日:2012-03-29

    申请号:US13247991

    申请日:2011-09-28

    IPC分类号: G06K9/00

    摘要: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

    摘要翻译: 在连续组织切片(FACTS)上的特征分析包括从组织样本获得多个连续的组织切片,用至少一个生物标志物染色切片,获得其数字图像,以及鉴定所述切片的中间的一个或多个感兴趣区域 连续组织切片。 注册连续组织部分的数字图像以进行对准,并且将一个或多个感兴趣区域从中间部分的图像转移到相邻部分的图像。 然后对连续组织切片的每个图像进行分析并适当评分。 使用FACTS方法,病理学家注释时间缩短到一个幻灯片。 可选地,可以针对感兴趣的区域注释多个中间部分,并相应地传送。

    Computerized methods for cell-based pattern recognition
    4.
    发明授权
    Computerized methods for cell-based pattern recognition 有权
    基于细胞的模式识别的计算机化方法

    公开(公告)号:US09424459B1

    公开(公告)日:2016-08-23

    申请号:US14189633

    申请日:2014-02-25

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06K9/6253 G06K9/00134

    摘要: Systems and methods relating to a cell-based pattern recognition tool for microscopy images from tissue sections are described, wherein cell features are extracted and a classifier is built in accordance with a particular application using an interactive training tied to a computerized platform, the result is an application-specific classifier that further processes images in accordance with the specific application, thereby tuning an automated process for cell based pattern recognition.

    摘要翻译: 描述与用于来自组织切片的显微镜图像的基于细胞的图案识别工具相关的系统和方法,其中提取细胞特征,并且使用与计算机化平台相关联的交互式训练,根据特定应用构建分类器,结果是 一种应用专用分类器,其根据具体应用进一步处理图像,从而调整基于小区的模式识别的自动化过程。