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。

    SONIC WAVE PINCH DETECTION SYSTEM AND METHOD FOR A MOVABLE PANEL
    6.
    发明申请
    SONIC WAVE PINCH DETECTION SYSTEM AND METHOD FOR A MOVABLE PANEL 审中-公开
    用于移动面板的SONIC波形引线检测系统和方法

    公开(公告)号:US20120125078A1

    公开(公告)日:2012-05-24

    申请号:US12951951

    申请日:2010-11-22

    IPC分类号: G01N29/11 G01N29/30

    CPC分类号: E05F15/443 E05Y2800/41

    摘要: A pinch detector for a movable panel is provided having a deformable and resilient channel; a sonic wave transmitter at one end of the channel having a predetermined output; a sonic wave receiver at a second end of the channel; and a controller connected to the transmitter and receiver; wherein the controller selectively activates the transmitter and generates a command in response to a predetermined attenuation of sonic wave input from the sonic wave receiver. The predetermined output of the sonic wave transmitter is in the range of about 30 to 50 kHz at a range of about 3 to 24 volts, but is preferably about 40 kHz at about 5 volts. The deformable and resilient channel can be disposed within a sealing element of a movable panel. Optionally, the sonic wave can be modulated. Compositions for the sonic tube can include latex, rubber, EPDM, foam, combinations thereof, and the like.

    摘要翻译: 提供了一种用于可移动面板的夹紧检测器,其具有可变形和弹性通道; 在通道的一端具有预定输出的声波发射器; 在通道的第二端处的声波接收器; 以及连接到发射机和接收机的控制器; 其中所述控制器选择性地激活所述发射器并且响应于从所述声波接收器输入的声波的预定衰减而产生命令。 声波发射器的预定输出在约3至24伏范围内在约30至50kHz的范围内,但在约5伏特时优选为约40kHz。 可变形和弹性通道可以设置在可移动面板的密封元件内。 可选地,可以调制声波。 用于声管的组合物可以包括胶乳,橡胶,EPDM,泡沫,它们的组合等。