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    • 2. 发明申请
    • METHOD FOR QUANTIFICATION OF PURITY OF SUB-VISIBLE PARTICLE SAMPLES
    • 用于量化次可见颗粒样品纯度的方法
    • WO2018063785A1
    • 2018-04-05
    • PCT/US2017/050962
    • 2017-09-11
    • INTELLIGENT VIRUS IMAGING INC.
    • SINTORN, Ida-MariaRYNER, MartinKYLBERG, GustafNILSSON, Josefina
    • B01D11/00C12Q1/70
    • The method is for quantification of purity of sub-visible particle samples. A sample to be analyzed is place in an electron microscope to obtain an electron microscopy image (100) of the sample. The sample contains objects (114). The objects (114) that have sizes being different from a size range of primary particles (120) and sizes being within the size range of primary particles (120) are enhanced. The objects (114) are detected as being primary particles (120) or debris (106). The detected primary particles (120) are excluded from the objects (114) so that the objects (114) contain debris (106) but no primary particles (120). A first total area (T1) of the detected debris (106) is measured. A second total area (T2) of the detected primary particles (120) is measured.
    • 该方法用于量化亚可见颗粒样品的纯度。 将要分析的样品置于电子显微镜中以获得样品的电子显微镜图像(100)。 该样本包含对象(114)。 具有与一次颗粒(120)的尺寸范围不同且尺寸在一次颗粒(120)的尺寸范围内的尺寸的物体(114)被增强。 物体(114)被检测为初级颗粒(120)或碎片(106)。 检测到的初级颗粒(120)从对象(114)中排除,使得对象(114)包含碎片(106)但不包含初级颗粒(120)。 测量检测到的碎片(106)的第一总面积(T1)。 测量所检测的初级颗粒(120)的第二总面积(T2)。
    • 7. 发明申请
    • METHOD FOR AUTOMATIC CORRECTION OF ASTIGMATISM
    • 自动校正方法
    • WO2016014177A1
    • 2016-01-28
    • PCT/US2015/036117
    • 2015-06-17
    • INTELLIGENT VIRUS IMAGING INC.SINTORN, Ida-MariaNORDSTROM, RickardKYLBERG, Gustaf
    • SINTORN, Ida-MariaNORDSTROM, RickardKYLBERG, Gustaf
    • H01J37/153
    • H01J37/153H01J2237/1532H01J2237/223
    • The method is for automatic astigmatism correction of a lens system. A first image (96) is provided that is not in focus at a first stigmator setting of a set of lenses. A calculating device calculates a corresponding first Fourier spectrum image (312). A distribution and direction of pixels of the Fourier spectrum image (128, 130, 312) are determined by calculating a first vector (132) and a second vector (134). The first vector (132) is compared with the second vector (134). The lens system is changed from a first stigmator setting to a second stigmator setting to provide a second image (98). A corresponding Fourier spectrum image (314) is calculated. The distribution and direction of pixels of the second Fourier spectrum image (314) is determined by calculating a third vector and a fourth vector. The third vector is compared to the fourth vector. The image that has the lowest vector ratio is selected.
    • 该方法用于透镜系统的自动散光校正。 提供第一图像(96),其在一组透镜的第一施放器设置处不聚焦。 计算装置计算对应的第一傅立叶光谱图像(312)。 通过计算第一矢量(132)和第二矢量(134)来确定傅里叶谱图像(128,130,312)的像素的分布和方向。 将第一矢量(132)与第二矢量(134)进行比较。 透镜系统从第一施压器设置改变为第二施放器设置以提供第二图像(98)。 计算相应的傅立叶光谱图像(314)。 通过计算第三矢量和第四矢量来确定第二傅立叶光谱图像(314)的像素的分布和方向。 将第三个向量与第四个向量进行比较。 选择具有最低矢量比的图像。