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    • 3. 发明申请
    • METHODOLOGY OF PLACING PRINTING ASSIST FEATURE FOR RANDOM MASK LAYOUT
    • 打印辅助功能的随机面膜布局方法
    • US20100175040A1
    • 2010-07-08
    • US12350251
    • 2009-01-08
    • Jason E. MeiringHenning Haffner
    • Jason E. MeiringHenning Haffner
    • G06F17/50
    • G03F1/36
    • Embodiments of the present invention provide a method of placing printing assist features in a mask layout. The method includes providing a design layout having one or more designed features; generating a set of parameters, the set of parameters being associated with one or more printing assist features (PrAFs); adding the one or more PrAFs of the set of parameters to the design layout to produce a modified design layout; performing simulation of the one or more PrAFs and the one or more designed features on the modified design layout; verifying whether the one or more PrAFs are removable based on results of the simulation; and creating a set of PrAF placement rules based on the set of parameters, if the one or more PrAFs are verified as removable. The set of PrAF placement rules may be used in creating a final set of PrAF features to be used for creating the mask layout.
    • 本发明的实施例提供了一种将打印辅助特征放置在掩模布局中的方法。 该方法包括提供具有一个或多个设计特征的设计布局; 产生一组参数,该组参数与一个或多个打印辅助特征(PrAF)相关联; 将该组参数中的一个或多个PrAF添加到设计布局以产生修改的设计布局; 在修改的设计布局上执行一个或多个PrAF的模拟和一个或多个设计的特征; 基于模拟结果验证一个或多个PrAF是否可移除; 以及如果一个或多个PrAF被验证为可移除的,则基于该参数集创建一组PrAF放置规则。 PrAF放置规则的集合可以用于创建用于创建掩模布局的最后一组PrAF特征。
    • 4. 发明申请
    • Test Pattern Based Process Model Calibration
    • 基于测试模式的过程模型校准
    • US20090276736A1
    • 2009-11-05
    • US12113374
    • 2008-05-01
    • Scott M. MansfieldGeng HanJason E. MeiringDario Gil
    • Scott M. MansfieldGeng HanJason E. MeiringDario Gil
    • G06F17/50
    • G03F1/36G03F1/68
    • Embodiments of the present invention provide a method for performing lumped-process model calibration. The method includes creating a plurality of sub-process models for a set of sub-processes; creating a lumped-process-model incorporating said set of sub-processes; calculating a first set of output patterns from a set of test patterns by using said plurality of sub-process models; calculating a second set of output patterns from said set of test patterns by using said lumped-process-model; and adjusting process parameters used in said lumped-process-model to calculate said second set of output patterns to match said first set of output patterns. A computer system for performing the lumped-process model calibration is also provided.
    • 本发明的实施例提供了一种执行集中过程模型校准的方法。 该方法包括为一组子过程创建多个子过程模型; 创建结合所述一组子过程的集总过程模型; 通过使用所述多个子过程模型从一组测试模式计算第一组输出模式; 通过使用所述集中过程模型从所述一组测试模式计算第二组输出模式; 以及调整在所述集总过程模型中使用的过程参数以计算所述第二组输出模式以匹配所述第一组输出模式。 还提供了用于执行集总过程模型校准的计算机系统。
    • 5. 发明授权
    • Image and part recognition technology
    • 图像和零件识别技术
    • US07901945B2
    • 2011-03-08
    • US12174245
    • 2008-07-16
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • G01N21/00
    • G06K7/1456G06K7/14G06K19/06037G06K19/06196
    • A system and method for recognition of images may include the use of alignment markers. The image recognized may be a pattern from an array, a character, a number, a shape, and/or irregular shapes. The pattern may be formed by elements in an array such as an identification marking and/or a sensor array. More particularly, the system and method relate to discriminating between images by accounting for the orientation of the image. The size and/or location of alignment markers may provide information about the orientation of an image. Information about the orientation of an image may reduce false recognitions. The system and method of image recognition may be used with identification markings, biosensors, micro-fluidic arrays, and/or optical character recognition systems.
    • 用于识别图像的系统和方法可以包括使用对准标记。 识别的图像可以是来自阵列,字符,数字,形状和/或不规则形状的图案。 图案可以由诸如识别标记和/或传感器阵列的阵列中的元件形成。 更具体地,该系统和方法涉及通过考虑图像的取向来区分图像。 对准标记的尺寸和/或位置可以提供关于图像的取向的信息。 有关图像方向的信息可能会减少错误的识别。 图像识别的系统和方法可以与识别标记,生物传感器,微流体阵列和/或光学字符识别系统一起使用。
    • 6. 发明授权
    • Image and part recognition technology
    • 图像和零件识别技术
    • US07651850B2
    • 2010-01-26
    • US10847635
    • 2004-05-17
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • C12M1/36
    • G06K7/1456G06K7/14G06K19/06037G06K19/06196
    • A system and method for recognition of images may include the use of alignment markers. The image recognized may be a pattern from an array, a character, a number, a shape, and/or irregular shapes. The pattern may be formed by elements in an array such as an identification marking and/or a sensor array. More particularly, the system and method relate to discriminating between images by accounting for the orientation of the image. The size and/or location of alignment markers may provide information about the orientation of an image. Information about the orientation of an image may reduce false recognitions. The system and method of image recognition may be used with identification markings, biosensors, micro-fluidic arrays, and/or optical character recognition systems.
    • 用于识别图像的系统和方法可以包括使用对准标记。 识别的图像可以是来自阵列,字符,数字,形状和/或不规则形状的图案。 图案可以由诸如识别标记和/或传感器阵列的阵列中的元件形成。 更具体地,该系统和方法涉及通过考虑图像的取向来区分图像。 对准标记的尺寸和/或位置可以提供关于图像的取向的信息。 有关图像方向的信息可能会减少错误的识别。 图像识别的系统和方法可以与识别标记,生物传感器,微流体阵列和/或光学字符识别系统一起使用。
    • 7. 发明申请
    • Densely packed sensor arrays
    • 密集的传感器阵列
    • US20090017271A1
    • 2009-01-15
    • US11981282
    • 2007-10-31
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • B32B3/10B05D5/00
    • G06K7/14G06K7/1456G06K19/06037Y10T428/24802
    • A system and method for recognition of images may include the use of alignment markers. The image recognized may be a pattern from an array, a character, a number, a shape, and/or irregular shapes. The pattern may be formed by elements in an array such as an identification marking and/or a sensor array. More particularly, the system and method relate to discriminating between images by accounting for the orientation of the image. The size and/or location of alignment markers may provide information about the orientation of an image. Information about the orientation of an image may reduce false recognitions. The system and method of image recognition may be used with identification markings, biosensors, micro-fluidic arrays, and/or optical character recognition systems.
    • 用于识别图像的系统和方法可以包括使用对准标记。 识别的图像可以是来自阵列,字符,数字,形状和/或不规则形状的图案。 图案可以由诸如识别标记和/或传感器阵列的阵列中的元件形成。 更具体地,该系统和方法涉及通过考虑图像的取向来区分图像。 对准标记的尺寸和/或位置可以提供关于图像的取向的信息。 有关图像方向的信息可能会减少错误的识别。 图像识别的系统和方法可以与识别标记,生物传感器,微流体阵列和/或光学字符识别系统一起使用。
    • 10. 发明授权
    • Densely packed sensor arrays
    • 密集的传感器阵列
    • US08017174B2
    • 2011-09-13
    • US11981282
    • 2007-10-31
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • Jason E. MeiringTimothy B. MichaelsonC. Grant Willson
    • B05D3/00
    • G06K7/14G06K7/1456G06K19/06037Y10T428/24802
    • A system and method for recognition of images may include the use of alignment markers. The image recognized may be a pattern from an array, a character, a number, a shape, and/or irregular shapes. The pattern may be formed by elements in an array such as an identification marking and/or a sensor array. More particularly, the system and method relate to discriminating between images by accounting for the orientation of the image. The size and/or location of alignment markers may provide information about the orientation of an image. Information about the orientation of an image may reduce false recognitions. The system and method of image recognition may be used with identification markings, biosensors, micro-fluidic arrays, and/or optical character recognition systems.
    • 用于识别图像的系统和方法可以包括使用对准标记。 识别的图像可以是来自阵列,字符,数字,形状和/或不规则形状的图案。 图案可以由诸如识别标记和/或传感器阵列的阵列中的元件形成。 更具体地,该系统和方法涉及通过考虑图像的取向来区分图像。 对准标记的尺寸和/或位置可以提供关于图像的取向的信息。 有关图像方向的信息可能会减少错误的识别。 图像识别的系统和方法可以与识别标记,生物传感器,微流体阵列和/或光学字符识别系统一起使用。