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公开(公告)号：US09928989B2
公开(公告)日：2018-03-27
申请号：US15620942
申请日：2017-06-13
Applicant: Intelligent Virus Imaging Inc
Inventor： Ida-Maria Sintorn , Rickard Nordstrom , Gustaf Kylberg
IPC: H01J37/153 , H01J37/26
CPC classification number: H01J37/153 , H01J37/26 , H01J2237/1532 , H01J2237/223
Abstract: The method is for automatic astigmatism correction of a lens system. A first image of a first frequency spectrum in a microscope is provided. The first image of a view is not in focus. The first image is then imaged. A first roundness measure of a distribution and directions of intensities in the first image is determined. The lens is changed to a second stigmator setting to provide a second image of a second frequency spectrum. The second image of the view is not in focus. The second image is the same view as the first image of the view at the first stigmator setting. A second roundness measure of a distribution and directions of intensities in the second image is determined. The first roundness measure is compared with the second roundness measure. The image with the roundness measure indicating the roundest distribution is selected.
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公开(公告)号：US20170018396A1
公开(公告)日：2017-01-19
申请号：US15124099
申请日：2015-06-17
Applicant: INTELLIGENT VIRUS IMAGING INC.
Inventor： Ida-Maria Sintorn , Rickard Nordstrom Nordstrom , Gustaf Kylberg
IPC: H01J37/153
CPC classification number: H01J37/153 , H01J2237/1532 , H01J2237/223
Abstract: The method is for automatic astigmatism correction of a lens system. A first image 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. A distribution and direction of pixels of the Fourier spectrum image are determined by calculating a first vector and a second vector. The first vector is compared with the second vector. The lens system is changed from a first stigmator setting to a second stigmator setting to provide a second image. A corresponding Fourier spectrum image is calculated. The distribution and direction of pixels of the second Fourier spectrum image 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.
Abstract translation: 该方法用于透镜系统的自动散光校正。 提供在一组透镜的第一施放器设置处不聚焦的第一图像。 计算装置计算对应的第一傅立叶光谱图像。 通过计算第一矢量和第二矢量来确定傅里叶谱图像的像素的分布和方向。 将第一个向量与第二个向量进行比较。 透镜系统从第一施放器设置改变为第二施放器设置以提供第二图像。 计算相应的傅立叶光谱图像。 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。
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公开(公告)号：US10345207B2
公开(公告)日：2019-07-09
申请号：US16277393
申请日：2019-02-15
Applicant: Intelligent Virus Imaging Inc.
Inventor： Rickard Nordstrom , Ida-Maria Sintorn , Lars Haag
Abstract: The method is for quantification of sub-visible particles. A filter membrane is provided that has a plurality of pores defined therethrough. The filter membrane is in operational engagement with a vacuum chamber. The pores are sealed with a sealant. A sample droplet, containing a liquid and sub-visible particles, is applied onto the filter membrane. The liquid dissolves the sealant in pores disposed directly below the sample droplet. The liquid flows through the pores in which the sealant has been dissolved and the sub-visible particles remain on top of the filter membrane. The particles are enumerated in an electron microscope.
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Patent Agency Ranking
公开(公告)号：US10247648B2
公开(公告)日：2019-04-02
申请号：US15736621
申请日：2016-10-21
Applicant: Intelligent Virus Imaging Inc.
Inventor： Rickard Nordstrom , Ida-Maria Sintorn , Lars Haag
Abstract: The method is for quantification of sub-visible particles. A filter membrane is provided that has a plurality of pores defined therethrough. The filter membrane is in operational engagement with a vacuum chamber. The pores are sealed with a sealant. A sample droplet, containing a liquid and sub-visible particles, is applied onto the filter membrane. The liquid dissolves the sealant in pores disposed directly below the sample droplet. The liquid flows through the pores in which the sealant has been dissolved and the sub-visible particles remain on top of the filter membrane. The particles are enumerated in an electron microscopy.
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公开(公告)号：US20190011378A1
公开(公告)日：2019-01-10
申请号：US16068232
申请日：2017-09-11
Applicant: Intelligent Virus Imaging Inc.
Inventor： Ida-Maria Sintorn , Martin Ryner , Gustaf Kylberg , Josefina Nilsson
Abstract: 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 of the sample. The sample contains objects. The objects that have sizes being different from a size range of primary particles and sizes being within the size range of primary particles are enhanced. The objects are detected as being primary particles or debris. The detected primary particles are excluded from the objects so that the objects contain debris but no primary particles. A first total area (T1) of the detected debris is measured. A second total area (T2) of the detected primary particles is measured.
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公开(公告)号：US20180172566A1
公开(公告)日：2018-06-21
申请号：US15736621
申请日：2016-10-21
Applicant: Intelligent Virus Imaging Inc.
Inventor： Rickard Nordstrom , Ida-Maria Sintorn , Lars Haag
CPC classification number: G01N1/4077 , G01N15/14 , G01N15/1468 , G01N2001/4088 , G01N2015/0038 , G01N2015/1486
Abstract: The method is for quantification of sub-visible particles. A filter membrane is provided that has a plurality of pores defined therethrough. The filter membrane is in operational engagement with a vacuum chamber. The pores are sealed with a sealant. A sample droplet, containing a liquid and sub-visible particles, is applied onto the filter membrane. The liquid dissolves the sealant in pores disposed directly below the sample droplet. The liquid flows through the pores in which the sealant has been dissolved and the sub-visible particles remain on top of the filter membrane. The particles are enumerated in an electron microscopy.
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公开(公告)号：US20170287676A1
公开(公告)日：2017-10-05
申请号：US15620942
申请日：2017-06-13
Applicant: Intelligent Virus Imaging Inc.
Inventor： Ida-Maria Sintorn , Rickard Nordstrom Nordstrom , Gustaf Kylberg
IPC: H01J37/153 , H01J37/26
CPC classification number: H01J37/153 , H01J37/26 , H01J2237/1532 , H01J2237/223
Abstract: The method is for automatic astigmatism correction of a lens system. A first image of a first frequency spectrum in a microscope is provided. The first image of a view is not in focus. The first image is then imaged. A first roundness measure of a distribution and directions of intensities in the first image is determined. The lens is changed to a second stigmator setting to provide a second image of a second frequency spectrum. The second image of the view is not in focus. The second image is the same view as the first image of the view at the first stigmator setting. A second roundness measure of a distribution and directions of intensities in the second image is determined. The first roundness measure is compared with the second roundness measure. The image with the roundness measure indicating the roundest distribution is selected.
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公开(公告)号：US09711323B2
公开(公告)日：2017-07-18
申请号：US15124099
申请日：2015-06-17
Applicant: Intelligent Virus Imaging Inc.
Inventor： Ida-Maria Sintorn , Rickard Nordstrom Nordstrom , Gustaf Kylberg
IPC: H01J37/26 , H01J3/12 , H01J29/56 , H01J37/153
CPC classification number: H01J37/153 , H01J2237/1532 , H01J2237/223
Abstract: The method is for automatic astigmatism correction of a lens system. A first image 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. A distribution and direction of pixels of the Fourier spectrum image are determined by calculating a first vector and a second vector. The first vector is compared with the second vector. The lens system is changed from a first stigmator setting to a second stigmator setting to provide a second image. A corresponding Fourier spectrum image is calculated. The distribution and direction of pixels of the second Fourier spectrum image 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.
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