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    • 1. 发明授权
    • Spectral unmixing for visualization of samples
    • 用于可视化样品的光谱解混合
    • US08462981B2
    • 2013-06-11
    • US12755831
    • 2010-04-07
    • Scott DetermanPeter J. Miller
    • Scott DetermanPeter J. Miller
    • G06K9/00G01J5/02G01J3/28
    • G06K9/0014
    • Disclosed methods include: acquiring a first sequence of multiple images of a sample, with each image in the first sequence corresponding to a different spectral weighting function; unmixing the first sequence of images into data corresponding to a first set of unmixed images, where each unmixed image in the first set corresponds to a spatial distribution in the sample of a different one of multiple components at a first time; acquiring one or more additional images of the sample and combining the additional images with one or more of the images in the first sequence to form a second sequence of images; unmixing the second sequence of images into data corresponding to a second set of unmixed images; and displaying information about the sample as a function of time based on the data corresponding to the first and second sets of unmixed images.
    • 公开的方法包括:获取样本的多个图像的第一序列,其中第一序列中的每个图像对应于不同的频谱加权函数; 将第一序列图像混合成对应于第一组非混合图像的数据,其中第一组中的每个未混合图像在第一时间对应于多个分量中的不同组分的样本中的空间分布; 获取样本的一个或多个附加图像并将附加图像与第一序列中的一个或多个图像组合以形成第二图像序列; 将所述第二图像序列解混合成对应于第二组未混合图像的数据; 并且基于与第一组和第二组非混合图像相对应的数据,显示关于样本的信息作为时间的函数。
    • 8. 发明申请
    • SPECTRAL UNMIXING FOR VISUALIZATION OF SAMPLES
    • 用于可视化样品的光谱
    • US20110249911A1
    • 2011-10-13
    • US12755831
    • 2010-04-07
    • Scott DetermanPeter J. Miller
    • Scott DetermanPeter J. Miller
    • G06K9/36
    • G06K9/0014
    • Disclosed methods include: acquiring a first sequence of multiple images of a sample, with each image in the first sequence corresponding to a different spectral weighting function; unmixing the first sequence of images into data corresponding to a first set of unmixed images, where each unmixed image in the first set corresponds to a spatial distribution in the sample of a different one of multiple components at a first time; acquiring one or more additional images of the sample and combining the additional images with one or more of the images in the first sequence to form a second sequence of images; unmixing the second sequence of images into data corresponding to a second set of unmixed images; and displaying information about the sample as a function of time based on the data corresponding to the first and second sets of unmixed images.
    • 公开的方法包括:获取样本的多个图像的第一序列,其中第一序列中的每个图像对应于不同的频谱加权函数; 将第一序列图像混合成对应于第一组非混合图像的数据,其中第一组中的每个未混合图像在第一时间对应于多个分量中的不同组分的样本中的空间分布; 获取样本的一个或多个附加图像并将附加图像与第一序列中的一个或多个图像组合以形成第二图像序列; 将所述第二图像序列解混合成对应于第二组未混合图像的数据; 并且基于与第一组和第二组非混合图像相对应的数据,显示关于样本的信息作为时间的函数。