公开(公告)号：US09778215B2

公开(公告)日：2017-10-03

申请号：US13662072

申请日：2012-10-26

Applicant: FEI Company

Inventor： Michael James Owen ,  Michael Buhot

IPC: G01N23/225 ,  H01J37/28 ,  H01J37/256

CPC classification number: G01N23/2252 ,  G01N2223/418 ,  H01J37/256 ,  H01J37/28 ,  H01J2237/2442 ,  H01J2237/24425 ,  H01J2237/2804 ,  H01J2237/2807

Abstract: The present invention discloses a combination of two existing approaches for mineral analysis and makes use of the Similarity Metric Invention, that allows mineral definitions to be described in theoretical compositional terms, meaning that users are not required to find examples of each mineral, or adjust rules. This system allows untrained operators to use it, as opposed to previous systems, which required extensive training and expertise.

公开(公告)号：US09734986B2

公开(公告)日：2017-08-15

申请号：US14728751

申请日：2015-06-02

Applicant: FEI Company

Inventor： Michael James Owen ,  Michael Buhot

IPC: H01J37/00 ,  H01J37/252 ,  G01N23/225

CPC classification number: H01J37/252 ,  G01N23/2252 ,  H01J2237/221 ,  H01J2237/24585 ,  H01J2237/2561

Abstract: Mineral definitions each include a list of elements, each of the elements having a corresponding standard spectrum. To determine the composition of an unknown mineral sample, the acquired spectrum of the sample is sequentially decomposed into the standard spectra of the elements from the element list of each of the mineral definitions, and a similarity metric computed for each mineral definition. The unknown mineral is identified as the mineral having the best similarity metric.

公开(公告)号：US20150122992A1

公开(公告)日：2015-05-07

申请号：US14073523

申请日：2013-11-06

Applicant: FEI Company

Inventor： Michael James Owen ,  Garth Howell ,  Ashley Donaldson

IPC: H01J37/22

CPC classification number: G01N23/225 ,  G01N2223/402 ,  G01N2223/616 ,  H01J2237/225 ,  H01J2237/2442

Abstract: Method and apparatus for analysis and display of fine grained mineral samples. A portion of the sample is illuminated with a charged particle beam. Emitted radiation is detected, and a sample emission spectrum is generated and fit with a plurality of standard emission spectra of minerals in a candidate mineral composition. A mineral composition whose emission spectrum best fits the sample emission spectrum is selected from a plurality of candidate mineral compositions. An assigned color is received for each mineral in the selected mineral composition, and the assigned colors are blended according to the proportion of each mineral in the selected mineral composition. An image pixel corresponding to the portion of the sample is rendered for display.

Abstract translation: 分析和显示细粒矿物样品的方法和装置。 用带电粒子束照射样品的一部分。 检测到发射的辐射，并且生成样品发射光谱并与候选矿物组合物中的矿物质的多个标准发射光谱拟合。 从多种候选矿物组合物中选择最适合样品发射光谱的发射光谱的矿物组合物。 对所选择的矿物组合物中的每种矿物接收分配的颜色，并且根据所选择的矿物组合物中的每种矿物的比例来调配所分配的颜色。 渲染与样本部分对应的图像像素进行显示。

公开(公告)号：US20160063749A1

公开(公告)日：2016-03-03

申请号：US14935840

申请日：2015-11-09

Applicant: FEI Company

Inventor： Garth Howell ,  Michael James Owen ,  Leonardo Salazar ,  David Haberlah ,  Eric Goergen

IPC: G06T11/60 ,  G06T7/40 ,  G01N23/203 ,  G06T11/00

CPC classification number: G06T11/60 ,  G01N23/203 ,  G01N23/2206 ,  G01N23/2252 ,  G06T5/50 ,  G06T11/001 ,  G06T2207/20216 ,  G06T2207/20221 ,  G06T2207/30181

Abstract: Optimized blending mode for mineralogy images. A luminosity value is determined for a pixel in a base layer or top layer mineralogy image. An image weighting value is determined from the luminosity value and an optional mixing parameter. A multiply value is determined by multiplying the base and top layer pixel values. An overlay value is determined from twice the multiply value if the value of one of the base layer or top layer pixel values is over a threshold, otherwise it is determined by inverting twice the product of the inverted top layer pixel value with the inverted base layer pixel value. A blended image pixel value is determined by adding the multiply value weighted with the image weighting value and the overlay value weighted with the inverted image weighting value.

Abstract translation: 矿物图像优化混合模式。 确定基层或顶层矿物学图像中的像素的亮度值。 根据亮度值和可选的混合参数确定图像加权值。 通过乘以基层和顶层像素值来确定乘法值。 如果基层或顶层像素值之一的值超过阈值，则由乘法值的两倍确定覆盖值，否则通过将反向顶层像素值与反向基底层的乘积反相两倍来确定 像素值。 通过将用图像加权值加权的乘积值和用反转图像加权值加权的覆盖值相加来确定混合图像像素值。

公开(公告)号：US20140117231A1

公开(公告)日：2014-05-01

申请号：US13662072

申请日：2012-10-26

Applicant: FEI Company

Inventor： Michael James Owen ,  Michael Buhot

IPC: G01N23/225 ,  H01J37/256

CPC classification number: G01N23/2252 ,  G01N2223/418 ,  H01J37/256 ,  H01J37/28 ,  H01J2237/2442 ,  H01J2237/24425 ,  H01J2237/2804 ,  H01J2237/2807

Abstract: The present invention discloses a combination of two existing approaches for mineral analysis and makes use of the Similarity Metric Invention, that allows mineral definitions to be described in theoretical compositional terms, meaning that users are not required to find examples of each mineral, or adjust rules. This system allows untrained operators to use it, as opposed to previous systems, which required extensive training and expertise.

Abstract translation: 本发明公开了两种现有的矿物分析方法的组合，并且使用了相似性度量发明，其允许以理论组成术语描述矿物定义，这意味着用户不需要找到每种矿物的实例，或调整规则 。 该系统允许未经训练的运营商使用它，而不是以前的系统，需要广泛的培训和专业知识。

公开(公告)号：US20140117230A1

公开(公告)日：2014-05-01

申请号：US13661774

申请日：2012-10-26

Applicant: FEI Company

Inventor： Michael James Owen ,  Michael Buhot

IPC: G01N23/225

CPC classification number: G01N23/2252 ,  G01N2223/418

Abstract: An improved mineral analysis system includes mineral definitions that include not only characteristics of the minerals, but also variability in those characteristics. The variabilities allow the calculation of ranges of expected values for different quality of measurements, for example, for different numbers of x-ray counts. Match probabilities can therefore be calculated to more accurately determine the composition of a mineral sample.

Abstract translation: 改进的矿物分析系统包括矿物定义，不仅包括矿物的特征，而且包括这些特征的变异性。 这些变化允许计算不同质量测量的期望值的范围，例如，对于不同数量的x射线计数。 因此，可以计算匹配概率以更准确地确定矿物样品的组成。

公开(公告)号：US20250044245A1

公开(公告)日：2025-02-06

申请号：US18362207

申请日：2023-07-31

Applicant: FEI Company

Inventor： Michael James Owen

IPC: G01N23/20091

Abstract: Systems, computer program products and/or computer-implemented methods provided herein relate to synthetically generating a synthesized spectrum for a target composition. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines a known composition having a same component as a target composition, and a generation component that, based on a synthesized spectrum of the known composition and on a first synthesized spectrum of the target composition, generates a second synthesized spectrum of the target composition.

公开(公告)号：US09714908B2

公开(公告)日：2017-07-25

申请号：US14073523

申请日：2013-11-06

Applicant: FEI Company

Inventor： Michael James Owen ,  Garth Howell ,  Ashley Donaldson

IPC: G21K7/00 ,  G01N23/225

CPC classification number: G01N23/225 ,  G01N2223/402 ,  G01N2223/616 ,  H01J2237/225 ,  H01J2237/2442

Abstract: Method and apparatus for analysis and display of fine grained mineral samples. A portion of the sample is illuminated with a charged particle beam. Emitted radiation is detected, and a sample emission spectrum is generated and fit with a plurality of standard emission spectra of minerals in a candidate mineral composition. A mineral composition whose emission spectrum best fits the sample emission spectrum is selected from a plurality of candidate mineral compositions. An assigned color is received for each mineral in the selected mineral composition, and the assigned colors are blended according to the proportion of each mineral in the selected mineral composition. An image pixel corresponding to the portion of the sample is rendered for display.

公开(公告)号：US09183656B2

公开(公告)日：2015-11-10

申请号：US14204485

申请日：2014-03-11

Applicant: FEI Company

Inventor： Garth Howell ,  Michael James Owen ,  Leonardo Salazar ,  David Haberlah ,  Eric Goergen

IPC: G06K9/00 ,  G06T11/60 ,  G06T7/40 ,  G06T11/00 ,  G01N23/203

CPC classification number: G06T11/60 ,  G01N23/203 ,  G01N23/2206 ,  G01N23/2252 ,  G06T5/50 ,  G06T11/001 ,  G06T2207/20216 ,  G06T2207/20221 ,  G06T2207/30181

Abstract: Optimized blending mode for mineralogy images. A luminosity value is determined for a pixel in a base layer or top layer mineralogy image. An image weighting value is determined from the luminosity value and an optional mixing parameter. A multiply value is determined by multiplying the base and top layer pixel values. An overlay value is determined from twice the multiply value if the value of one of the base layer or top layer pixel values is over a threshold, otherwise it is determined by inverting twice the product of the inverted top layer pixel value with the inverted base layer pixel value. A blended image pixel value is determined by adding the multiply value weighted with the image weighting value and the overlay value weighted with the inverted image weighting value.

Abstract translation: 矿物图像优化混合模式。 确定基层或顶层矿物学图像中的像素的亮度值。 根据亮度值和可选的混合参数确定图像加权值。 通过乘以基层和顶层像素值来确定乘法值。 如果基层或顶层像素值之一的值超过阈值，则由乘法值的两倍确定覆盖值，否则通过将反向顶层像素值与反向基底层的乘积反相两倍来确定 像素值。 通过将用图像加权值加权的乘积值和用反转图像加权值加权的覆盖值相加来确定混合图像像素值。

公开(公告)号：US09091635B2

公开(公告)日：2015-07-28

申请号：US13661826

申请日：2012-10-26

Applicant: FEI Company

Inventor： Michael James Owen

IPC: G01N23/00 ,  G01N23/225

CPC classification number: G01N23/2252 ,  G01N2223/616

Abstract: Determining the composition of a mineral sample entails comparing measurements of a sample to mineral definitions and determining a similarity metric. The mineral definition includes a subspace of compositional values defined by end members. The similarity metric is related to a projection of the measured data point onto the subspace or onto an extension of the subspace.

Abstract translation: 确定矿物样品的组成需要将样品的测量与矿物定义进行比较并确定相似性度量。 矿物定义包括由终端成员定义的组成值的子空间。 相似性度量与测量数据点在子空间或子空间的扩展上的投影有关。