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公开(公告)号：US08639043B2
公开(公告)日：2014-01-28
申请号：US13600351
申请日：2012-08-31
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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公开(公告)号：US08385615B2
公开(公告)日：2013-02-26
申请号：US12390690
申请日：2009-02-23
IPC分类号： G06K9/00 , G06K9/46 , G06K9/62 , G06K9/66 , G01N33/48 , G01N21/64 , G01J3/00 , G01J1/00 , G01J1/58 , G01T1/00 , G21G4/00 , A61B5/05 , A61B6/00
CPC分类号： G01N33/4833 , A61B5/0059 , B82Y5/00 , B82Y10/00 , G01J3/32 , G01J3/4406 , G01J3/453 , G01N21/255 , G01N21/6486 , G01N2201/062 , G01N2201/125
摘要： The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.
摘要翻译： 本发明的特征在于一种方法，包括：（i）响应于样品的照明，提供关于来自包含深层组织的样品中的不同空间位置的光的光谱解析信息，其中所述光包括来自样品中不同组分的贡献; （ii）将所述不同空间位置中的至少一些中的每一个的所述光谱解析信息分解为与所述样本中的至少一些组件相关联的频谱估计的贡献; 和（iii）基于分解构建样品的深层组织图像，以优先显示所选择的组分之一。
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公开(公告)号：US20090297016A1
公开(公告)日：2009-12-03
申请号：US12477330
申请日：2009-06-03
IPC分类号： G06K9/00
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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公开(公告)号：US08634607B2
公开(公告)日：2014-01-21
申请号：US10573242
申请日：2004-09-23
CPC分类号： G01N33/5091 , A61B5/0059 , A61B2562/0242 , B82Y5/00 , B82Y10/00 , G01J3/32 , G01J3/4406 , G01J3/453 , G01N21/6428 , G01N21/6456
摘要： The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.
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公开(公告)号：US20130077875A1
公开(公告)日：2013-03-28
申请号：US13600351
申请日：2012-08-31
IPC分类号： G06K9/62
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
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公开(公告)号：US08280140B2
公开(公告)日：2012-10-02
申请号：US13091492
申请日：2011-04-21
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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公开(公告)号：US20090245605A1
公开(公告)日：2009-10-01
申请号：US12390690
申请日：2009-02-23
IPC分类号： G06K9/00
CPC分类号： G01N33/4833 , A61B5/0059 , B82Y5/00 , B82Y10/00 , G01J3/32 , G01J3/4406 , G01J3/453 , G01N21/255 , G01N21/6486 , G01N2201/062 , G01N2201/125
摘要： The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.
摘要翻译： 本发明的特征在于一种方法，包括：（i）响应于样品的照明，提供关于来自包含深层组织的样品中的不同空间位置的光的光谱解析信息，其中所述光包括来自样品中不同组分的贡献; （ii）将所述不同空间位置中的至少一些中的每一个的所述光谱解析信息分解为与所述样本中的至少一些组件相关联的频谱估计的贡献; 和（iii）基于分解构建样品的深层组织图像，以优先显示所选择的组分之一。
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公开(公告)号：US20110255753A1
公开(公告)日：2011-10-20
申请号：US13091492
申请日：2011-04-21
IPC分类号： G06K9/00
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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公开(公告)号：US07953264B2
公开(公告)日：2011-05-31
申请号：US12477330
申请日：2009-06-03
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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公开(公告)号：US07555155B2
公开(公告)日：2009-06-30
申请号：US11342272
申请日：2006-01-27
CPC分类号： G06K9/6212 , G06K9/00127 , G06K9/6217 , G06K9/6247 , G06K9/628 , G06K9/6284
摘要： Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
摘要翻译： 公开了用于基于包括一个或多个图像的图像堆叠将样本的不同部分分类为相应类别的方法。
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