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    • 1. 发明申请
    • METHOD OF ANALYZING CELL STRUCTURES AND THEIR COMPONENTS
    • 分析细胞结构及其组分的方法
    • US20120243768A1
    • 2012-09-27
    • US13490484
    • 2012-06-07
    • Mohammed HommanIda-Maria Sintorn
    • Mohammed HommanIda-Maria Sintorn
    • G06K9/36
    • G06K9/00147
    • A cell is provided that contains a plurality of virus particles. A first image of a first virus particle and a second image of a second virus particle are taken by electron microscopy technology. The first virus particle is characterized as being in a first maturity stage and the second virus particle as being in a second maturity stage. The first image and the second image are transformed to first and second gray scale profiles, respectively, based on pixel data. The first and second gray scale profiles are then saved as first and second templates, respectively. A third virus particle in a third image is identified. The third image is transformed into a third gray scale profile. The third gray scale is compared to the first and second template to determine a maturity stage of the third virus particle.
    • 提供包含多个病毒颗粒的细胞。 通过电子显微镜技术拍摄第一病毒颗粒的第一图像和第二病毒颗粒的第二图像。 第一病毒颗粒的特征在于处于第一成熟阶段,第二病毒颗粒处于第二成熟阶段。 基于像素数据,第一图像和第二图像分别被变换到第一和第二灰度轮廓。 然后分别将第一和第二灰度轮廓保存为第一和第二模板。 鉴定第三个图像中的第三个病毒颗粒。 第三个图像被转换成第三个灰度图。 将第三灰阶与第一和第二模板进行比较,以确定第三病毒颗粒的成熟期。
    • 2. 发明授权
    • Method for counting and segmenting viral particles in an image
    • 计算和分割图像中病毒颗粒的方法
    • US08224059B2
    • 2012-07-17
    • US12600623
    • 2008-04-25
    • Mohammed Homman
    • Mohammed Homman
    • G06K9/00
    • G06K9/0014
    • The method is for intracellular counting and segmentation of viral particles in an image. An image is provided that has a plurality of items therein. A radius range of viral particles is determined. Round items in the image having a radius within the predetermined radius range are identified. Elliptical items that are formable from the predetermined radius range are determined. The round and elliptical items identified into groups are sorted. The viral particles among the round and elliptical items are identified. For example, the method may be used for intracellular counting and segmentation of siRNA treated human cytomegaloviral particles in TEM images.
    • 该方法用于细胞内计数和图像中病毒颗粒的分割。 提供其中具有多个物品的图像。 确定病毒颗粒的半径范围。 识别具有在预定半径范围内的半径的图像中的圆形项目。 确定从预定半径范围可形成的椭圆形物品。 分为组合的圆形和椭圆形物品。 确定圆形和椭圆形物品中的病毒颗粒。 例如,该方法可用于TEM图像中siRNA处理的人巨细胞病毒颗粒的细胞内计数和分割。
    • 5. 发明授权
    • Method of analyzing cell structures and their components
    • 分析细胞结构及其成分的方法
    • US08218834B2
    • 2012-07-10
    • US11911274
    • 2006-02-17
    • Mohammed HommanIda-Maria Sintorn
    • Mohammed HommanIda-Maria Sintorn
    • G06K9/00
    • G06K9/0014G01N15/1475G01N33/5005G01N33/5076
    • A cell is provided that contains a plurality of virus particles. A first image of a first virus particle and a second image of a second virus particle are taken by electron microscopy technology. The first virus particle is characterized as being in a first maturity stage and the second virus particle as being in a second maturity stage. The first image and the second image are transformed to first and second gray scale profiles, respectively, based on pixel data. The first and second gray scale profiles are then saved as first and second templates, respectively. A third virus particle in a third image is identified. The third image is transformed into a third gray scale profile. The third gray scale is compared to the first and second template to determine a maturity stage of the third virus particle.
    • 提供包含多个病毒颗粒的细胞。 通过电子显微镜技术拍摄第一病毒颗粒的第一图像和第二病毒颗粒的第二图像。 第一病毒颗粒的特征在于处于第一成熟阶段,第二病毒颗粒处于第二成熟阶段。 基于像素数据,第一图像和第二图像分别被变换到第一和第二灰度轮廓。 然后分别将第一和第二灰度轮廓保存为第一和第二模板。 鉴定第三个图像中的第三个病毒颗粒。 第三个图像被转换成第三个灰度图。 将第三灰阶与第一和第二模板进行比较,以确定第三病毒颗粒的成熟期。
    • 8. 发明授权
    • Identification and classification of virus particles in textured electron micrographs
    • 病毒颗粒在纹理电子显微照片中的鉴定和分类
    • US08238627B2
    • 2012-08-07
    • US12065514
    • 2006-09-12
    • Mohammed HommanMartin Ryner
    • Mohammed HommanMartin Ryner
    • G06K9/62
    • G06K9/0014G06K9/6255
    • The method is for the identification and characterization of structures in electron micrographs. Structures in a first image are selected. The structures have a first shape type deformed in a first direction. The selected structures are transformed to a second shape type different from the first shape type. The transformed structures of the second shape type are used to form a plurality of templates. A new structure in a second image is identified. The new structure has the first shape type. The second shape type structure of each template is deformed in the first direction. It is determined which template is a preferred template that best matches the new structure.
    • 该方法用于鉴定和表征电子显微照片中的结构。 选择第一个图像中的结构。 该结构具有沿第一方向变形的第一形状类型。 所选择的结构被转换成不同于第一形状类型的第二形状类型。 第二形状类型的变换结构用于形成多个模板。 识别第二个图像中的新结构。 新结构具有第一种形状。 每个模板的第二形状类型结构在第一方向上变形。 确定哪个模板是与新结构最匹配的首选模板。
    • 10. 发明申请
    • METHOD FOR COUNTING AND SEGMENTING VIRAL PARTICLES IN AN IMAGE
    • 在图像中计数和分割病毒颗粒的方法
    • US20100151446A1
    • 2010-06-17
    • US12600623
    • 2008-04-25
    • Mohammed Homman
    • Mohammed Homman
    • C12Q1/70
    • G06K9/0014
    • The method is for intracellular counting and segmentation of viral particles in an image. An image is provided that has a plurality of items therein. A radius range of viral particles is determined. Round items in the image having a radius within the predetermined radius range are identified. Elliptical items that are formable from the predetermined radius range are determined. The round and elliptical items identified into groups are sorted. The viral particles among the round and elliptical items are identified. For example, the method may be used for intracellular counting and segmentation of siRNA treated human cytomegaloviral particles in TEM images.
    • 该方法用于细胞内计数和图像中病毒颗粒的分割。 提供其中具有多个物品的图像。 确定病毒颗粒的半径范围。 识别具有在预定半径范围内的半径的图像中的圆形项目。 确定从预定半径范围可形成的椭圆形物品。 分为组合的圆形和椭圆形物品。 确定圆形和椭圆形物品中的病毒颗粒。 例如,该方法可用于TEM图像中siRNA处理的人巨细胞病毒颗粒的细胞内计数和分割。