Method and system for automated quantitation of tissue micro-array (TMA) digital image analysis
    3.
    发明申请
    Method and system for automated quantitation of tissue micro-array (TMA) digital image analysis 有权
    用于自动定量组织微阵列(TMA)数字图像分析的方法和系统

    公开(公告)号:US20060015262A1

    公开(公告)日:2006-01-19

    申请号:US11132931

    申请日:2005-05-19

    IPC分类号: G01N33/48 G06K9/00 G06F19/00

    CPC分类号: G06K9/00127

    摘要: A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.

    摘要翻译: 一种用于自动定量组织微阵列图像(TMA)数字分析的方法和系统。 该方法和系统自动分析TMA的数字图像,其具有使用针进行活检或其他技术创建的多个TMA芯,以创建标准组织切片并将所得到的针芯置于TMA中。 自动分析允许自动确定例如医学诊断或医学预后(例如,对于人类癌症)的医学结论。 该方法和系统提供可靠的自动TMA核心网格化和自动TMA核心边界检测,包括检测网格上的重叠或触摸TMA核心。

    Method and system for automatically determining diagnostic saliency of digital images
    4.
    发明申请
    Method and system for automatically determining diagnostic saliency of digital images 审中-公开
    自动确定数字图像诊断显着性的方法和系统

    公开(公告)号:US20050136549A1

    公开(公告)日:2005-06-23

    申请号:US10966071

    申请日:2004-10-15

    IPC分类号: C12Q1/00 G01N33/566 G06T5/40

    摘要: A method and system for automatically determining diagnostic saliency of digital images for medical and/or pathological purposes. Luminance parameters (e.g. intensity, etc.) from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are automatically analyzed and automatically corrected if necessary. Morphological parameters (e.g., cell membrane, cell nucleus, mitotic cells, etc.) from individual components within the biological sample are automatically analyzed on the digital image. A medical conclusion (e.g., a medical diagnosis or prognosis) is automatically determined from the analyzed luminance and morphological parameters.

    摘要翻译: 用于医疗和/或病理目的的用于自动确定数字图像的诊断显着性的方法和系统。 来自应用化学化合物(例如,标记染料)的生物样品(例如,组织细胞)的数字图像的亮度参数(例如强度等)被自动分析并且如果需要自动校正。 在数字图像上自动分析来自生物样品中各个组分的形态参数(例如,细胞膜,细胞核,有丝分裂细胞等)。 从分析的亮度和形态参数自动确定医学结论(例如,医学诊断或预后)。

    Feline bronchioloalveolar lung carcinoma xenograft and cell line
    10.
    发明申请
    Feline bronchioloalveolar lung carcinoma xenograft and cell line 失效
    猫支气管肺泡肺癌异种移植物和细胞系

    公开(公告)号:US20050118141A1

    公开(公告)日:2005-06-02

    申请号:US10477501

    申请日:2002-05-28

    摘要: The present invention provides feline transplantable lung carcinoma xenografts and cell lines. Such xenografts and cell lines exhibit a number of unique characteristics which allows their use in experimental models of carcinoma in order to dissect out the molecular basis of this phenotype. This experimental model of carcinoma can be used to identify molecular targets for therapeutic intervention and to assess the efficacy of a broad spectrum of diagnostic and therapeutic agents. Specific animal models of lung cancer are described as well as methods for evaluating diagnostic and therapeutic agents for treating lung cancer.

    摘要翻译: 本发明提供了可移植的肺癌异种移植物和细胞系。 这种异种移植物和细胞系表现出许多独特的特征,这些特征允许它们在癌的实验模型中使用,以便剖析该表型的分子基础。 这种癌的实验模型可用于鉴定治疗性干预的分子靶标并评估广谱诊断和治疗药物的功效。 描述肺癌的具体动物模型以及用于评估用于治疗肺癌的诊断和治疗剂的方法。