公开(公告)号：US20140314299A1

公开(公告)日：2014-10-23

申请号：US13865036

申请日：2013-04-17

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Jens Rittscher ,  Dirk Padfield ,  Ali Can ,  Zhengyu Pang ,  Musodiq Bello ,  Fiona Ginty ,  Christopher Sevinsky ,  Qing Li ,  Megan Rothney ,  Brion Sarachan

IPC: G06K9/00

CPC classification number: G06K9/0014 ,  G06T7/0012 ,  G06T2207/10064 ,  G06T2207/30024

Abstract: Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

Abstract translation: 提供了改进的数字图像分析系统和方法。 更具体地，本公开提供了用于分析生物组织样本的数字图像的改进的系统和方法。 示例性实施方案提供：i）分段，ii）分组，和iii）根据亚细胞区室（细胞核，膜和细胞质）量化各细胞的分子蛋白质谱。 本公开的系统和方法有利地在亚细胞水平进行组织分割，以便于全局和/或局部地分析，分组和定量组织部位中组织的蛋白质表达谱。 进行局部全局组织分析和蛋白质定量有利于使细胞的空间和分子构型与不同类型癌症的分子信息的相关性。

公开(公告)号：US08995740B2

公开(公告)日：2015-03-31

申请号：US13865036

申请日：2013-04-17

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Jens Rittscher ,  Dirk Padfield ,  Ali Can ,  Zhengyu Pang ,  Musodiq Bello ,  Fiona Ginty ,  Christopher Sevinsky ,  Qing Li ,  Megan Rothney ,  Brion Sarachan

IPC: G06K9/00 ,  G06T7/00 ,  G01N33/574

CPC classification number: G06K9/0014 ,  G06T7/0012 ,  G06T2207/10064 ,  G06T2207/30024

Abstract: Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

Abstract translation: 提供了改进的数字图像分析系统和方法。 更具体地，本公开提供了用于分析生物组织样本的数字图像的改进的系统和方法。 示例性实施方案提供：i）分段，ii）分组，和iii）根据亚细胞区室（细胞核，膜和细胞质）量化各细胞的分子蛋白质谱。 本公开的系统和方法有利地在亚细胞水平进行组织分割，以便于全局和/或局部地分析，分组和定量组织部位中组织的蛋白质表达谱。 进行局部全局组织分析和蛋白质定量有利于使细胞的空间和分子构型与不同类型癌症的分子信息的相关性。