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    • 2. 发明申请
    • SEM Imaging Method
    • SEM成像方法
    • US20110266440A1
    • 2011-11-03
    • US13098300
    • 2011-04-29
    • Faysal BoughorbelCornelis Sander KooijmanBerend Helmerus LichEric Gerardus Theodoor Bosch
    • Faysal BoughorbelCornelis Sander KooijmanBerend Helmerus LichEric Gerardus Theodoor Bosch
    • G01N23/00G21K7/00
    • H01J37/222H01J37/28H01J2237/226H01J2237/2611
    • A method of investigating a sample using Scanning Electron Microscopy (SEM), comprising the following steps: Irradiating a surface (S) of the sample using a probing electron beam in a plurality (N) of measurement sessions, each measurement session having an associated beam parameter (P) value that is chosen from a range of such values and that differs between measurement sessions; Detecting stimulated radiation emitted by the sample during each measurement session, associating a measurand (M) therewith and noting the value of this measurand for each measurement session, thus allowing compilation of a data set (D) of data pairs (Pi, Mi), where 1≦i≦N, wherein: A statistical Blind Source Separation (BSS) technique is employed to automatically process the data set (D) and spatially resolve it into a result set (R) of imaging pairs (Qk, Lk), in which an imaging quantity (Q) having value Qk is associated with a discrete depth level Lk referenced to the surface S.
    • 一种使用扫描电子显微镜(SEM)研究样品的方法,包括以下步骤:在多个(N)个测量会话中使用探测电子束照射样品的表面(S),每个测量会话具有相关联的束 参数(P)值,其从这样的值的范围中选择并且在测量会话之间不同; 在每个测量会话期间检测由样本发射的受激辐射,将被测量(M)与其相关联并注意每个测量会话的该被测量的值,从而允许编辑数据对(Pi,Mi)的数据集(D) 其中:采用统计盲分离(BSS)技术来自动处理数据集(D),并将其空间解析为成像对(Qk,Lk)的结果集(R),其中 具有值Qk的成像量(Q)与参考表面S的离散深度级Lk相关联。
    • 4. 发明授权
    • SEM imaging method
    • SEM成像方法
    • US08232523B2
    • 2012-07-31
    • US13098300
    • 2011-04-29
    • Faysal BoughorbelCornelis Sander KooijmanBerend Helmerus LichEric Gerardus Theodoor Bosch
    • Faysal BoughorbelCornelis Sander KooijmanBerend Helmerus LichEric Gerardus Theodoor Bosch
    • G01N23/00G21K7/00
    • H01J37/222H01J37/28H01J2237/226H01J2237/2611
    • A method of investigating a sample using Scanning Electron Microscopy (SEM), comprising the following steps: Irradiating a surface (S) of the sample using a probing electron beam in a plurality (N) of measurement sessions, each measurement session having an associated beam parameter (P) value that is chosen from a range of such values and that differs between measurement sessions; Detecting stimulated radiation emitted by the sample during each measurement session, associating a measurand (M) therewith and noting the value of this measurand for each measurement session, thus allowing compilation of a data set (D) of data pairs (Pi, Mi), where 1≦i≦N, wherein: A statistical Blind Source Separation (BSS) technique is employed to automatically process the data set (D) and spatially resolve it into a result set (R) of imaging pairs (Qk, Lk), in which an imaging quantity (Q) having value Qk is associated with a discrete depth level Lk referenced to the surface S.
    • 使用扫描电子显微镜(SEM)研究样品的方法,包括以下步骤:在多个(N)个测量会话中使用探测电子束照射样品的表面(S),每个测量会话具有相关联的束 参数(P)值,其从这样的值的范围中选择并且在测量会话之间不同; 在每个测量会话期间检测由样本发射的受激辐射,将被测量(M)与其相关联并注意每个测量会话的该被测量的值,从而允许编辑数据对(Pi,Mi)的数据集(D) 其中:采用统计盲分离(BSS)技术来自动处理数据集(D),并将其空间解析为成像对(Qk,Lk)的结果集(R),其中 具有值Qk的成像量(Q)与参考表面S的离散深度级Lk相关联。
    • 6. 发明申请
    • CHARGED-PARTICLE MICROSCOPE PROVIDING DEPTH-RESOLVED IMAGERY
    • 充电颗粒显微镜提供深度解析的图像
    • US20130037715A1
    • 2013-02-14
    • US13572449
    • 2012-08-10
    • Faysal BoughorbelPavel PotocekCornelis Sander KooijmanBerend Helmerus Lich
    • Faysal BoughorbelPavel PotocekCornelis Sander KooijmanBerend Helmerus Lich
    • H01J37/26
    • H01J37/222G01N23/22G01N2223/423H01J37/28H01J2237/226
    • A method of examining a sample using a charged-particle microscope, comprising the following steps: Mounting the sample on a sample holder; Using a particle-optical column to direct at least one beam of particulate radiation onto a surface S of the sample, thereby producing an interaction that causes emitted radiation to emanate from the sample; Using a detector arrangement to detect at least a portion of said emitted radiation, which method comprises the following steps: Recording an output On of said detector arrangement as a function of emergence angle θn of said emitted radiation, measured relative to an axis normal to S, thus compiling a measurement set M={(On, θn)} for a plurality of values of θn; Using computer processing apparatus to automatically deconvolve the measurement set M and spatially resolve it into a result set R={(Vk, Lk)}, in which a spatial variable V demonstrates a value Vk at an associated discrete depth level Lk referenced to the surface S, whereby n and k are members of an integer sequence, and spatial variable V represents a physical property of the sample as a function of position in its bulk.
    • 使用带电粒子显微镜检查样品的方法,包括以下步骤:将样品安装在样品架上; 使用粒子光学柱将至少一束颗粒辐射引导到样品的表面S上,从而产生引起发射的辐射从样品中发出的相互作用; 使用检测器装置来检测所述发射辐射的至少一部分,该方法包括以下步骤:根据出射角度和角度记录所述检测器装置的输出On;所发射的辐射的n相对于轴线正常测量 到S,从而针对多个值进行编译测量集M = {(On,&thetas; n)}; n; 使用计算机处理装置自动地对测量集M进行解卷积并将其空间解析为结果集R = {(Vk,Lk)},其中空间变量V表示以参考表面的相关离散深度级Lk的值Vk S,其中n和k是整数序列的成员,空间变量V表示作为其体积中的位置的函数的样本的物理性质。
    • 7. 发明申请
    • METHOD AND FILTER FOR RECOVERY OF DISPARITIES IN A VIDEO STREAM
    • 在视频流中恢复不同的方法和过滤器
    • US20090316994A1
    • 2009-12-24
    • US12442416
    • 2007-09-28
    • Faysal Boughorbel
    • Faysal Boughorbel
    • G06K9/46
    • G06T7/246G06T7/593
    • The invention concerns a method for recovery, through a digital filtering processing, of the disparities (di,k) in the digital images (1, 2; 10, 20) of a video stream containing digitized images formed of lines of pixels, so that data on the disparities (di,k) between images are yielded by the digital filtering processing. The method includes an initial stage of determination of image sites (i, j) to be pinpointed in depth, and the filtering being a recursive filtering calculating the disparities (di,k) between said sites (i, j) of said images (1, 2; 10, 20) on the basis of weighted averaging (ωi,k) governed simultaneously (1) by the characteristics (ci,1, cj,1) of the pixels of the sites (i, j) and by the image similarities between said sites (j) and sites (j′) close to said sites. The quality of the convergence of the filtering may be enhanced by adding at each iteration (k) a small random excitation (εi,k) to the depth estimate (δi,k) deduced from the disparity (di,k).
    • 本发明涉及一种通过数字滤波处理来恢复包含由像素线形成的数字化图像的视频流的数字图像(1,2,10,20)中的差异(di,k)的方法,使得 通过数字滤波处理产生图像之间的差异(di,k)的数据。 该方法包括确定深度精确定位的图像位置(i,j)的初始阶段,并且该滤波是递归滤波,其计算所述图像(1,j)的所述位置(i,j)之间的差异(i,j) 基于由站点(i,j)的像素的特征(ci,1,cj,1))和图像(i,j)同时(1)控制的加权平均(omegai,k) 所述站点(j)和靠近所述站点的站点(j')之间的相似性。 可以通过在从视差(di,k)推导出的深度估计(deltai,k)的每次迭代(k)中加入小的随机激励(epsiloni,k)来增强滤波的收敛的质量。