公开(公告)号：US20140153811A1

公开(公告)日：2014-06-05

申请号：US13693406

申请日：2012-12-04

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Antti Seppo ,  Yousef Al-Kofahi ,  Dirk R. Padfield

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06K9/0014 ,  G06K9/00147 ,  G06T7/0014 ,  G06T2207/10064 ,  G06T2207/30024 ,  G06T2207/30072

Abstract: A computer-implemented method of processing image data representing biological units in a tissue sample includes receiving a first image of the tissue sample containing signals from an immunofluorescent (IF) morphological marker, wherein the tissue sample is stained with the IF morphological marker, and receiving a second image of the same tissue sample containing signals from a fluorescent probe, wherein the tissue sample is hybridized in situ with the fluorescent probe. The method further includes classifying each biological unit in the tissue sample into one of at least two classes based on a mean intensity of the signals from the IF morphological marker in the first image, performing a fluorescence in situ hybridization (FISH) analysis of the tissue sample in the second image to obtain results therefrom, and filtering the results of the FISH analysis to produce a subset of the results pertaining to biological units classified in one class.

Abstract translation: 处理组织样本中表示生物单元的图像数据的计算机实现方法包括接收含有来自免疫荧光（IF）形态学标志的信号的组织样本的第一图像，其中组织样本用IF形态学标记染色，并接收 包含来自荧光探针的信号的相同组织样本的第二图像，其中组织样本与荧光探针原位杂交。 该方法还包括基于来自第一图像中的IF形态标志物的信号的平均强度将组织样本中的每个生物单元分类为至少两个类别中的一个，对组织进行荧光原位杂交（FISH）分析 在第二个图像中采样以获得结果，并且过滤FISH分析的结果以产生归类于一个类别中的生物单元的结果的子集。

公开(公告)号：US09135694B2

公开(公告)日：2015-09-15

申请号：US13693406

申请日：2012-12-04

Applicant: General Electric Company

Inventor： Antti Seppo ,  Yousef Al-Kofahi ,  Dirk R. Padfield

IPC: G06K9/00 ,  G06T7/00

CPC classification number: G06T7/0012 ,  G06K9/0014 ,  G06K9/00147 ,  G06T7/0014 ,  G06T2207/10064 ,  G06T2207/30024 ,  G06T2207/30072

Abstract: A computer-implemented method of processing image data representing biological units in a tissue sample includes receiving a first image of the tissue sample containing signals from an immunofluorescent (IF) morphological marker, wherein the tissue sample is stained with the IF morphological marker, and receiving a second image of the same tissue sample containing signals from a fluorescent probe, wherein the tissue sample is hybridized in situ with the fluorescent probe. The method further includes classifying each biological unit in the tissue sample into one of at least two classes based on a mean intensity of the signals from the IF morphological marker in the first image, performing a fluorescence in situ hybridization (FISH) analysis of the tissue sample in the second image to obtain results therefrom, and filtering the results of the FISH analysis to produce a subset of the results pertaining to biological units classified in one class.

Abstract translation: 处理组织样本中表示生物单元的图像数据的计算机实现方法包括接收含有来自免疫荧光（IF）形态学标志的信号的组织样本的第一图像，其中组织样本用IF形态学标记染色，并接收 包含来自荧光探针的信号的相同组织样本的第二图像，其中组织样本与荧光探针原位杂交。 该方法还包括基于来自第一图像中的IF形态标志物的信号的平均强度将组织样本中的每个生物单元分类为至少两个类别中的一个，对组织进行荧光原位杂交（FISH）分析 在第二个图像中采样以获得结果，并且过滤FISH分析的结果以产生归类于一个类别中的生物单元的结果的子集。