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    • 3. 发明申请
    • METHOD AND SYSTEM FOR ACCURATE ALIGNMENT AND REGISTRATION OF ARRAY FOR DNA SEQUENCING
    • 用于DNA序列的精确对准和阵列注册的方法和系统
    • WO2011137183A1
    • 2011-11-03
    • PCT/US2011/034178
    • 2011-04-27
    • COMPLETE GENOMICS, INC.STAKER, Bryan P.
    • STAKER, Bryan P.
    • C40B20/02C40B40/06
    • C12Q1/6874G06K9/32G06K9/42G06K2209/07G06T7/0012G06T7/32G06T7/337G06T7/74G06T2207/10056G06T2207/30072
    • In a genome sequencing system and methodology, a protocol is provided to precisely and accurately align and register an image of a planar array of nanoballs for optical analysis. Minimization techniques and Moire averaging are used to correct or errors In subperiod x-y offset, scale, and rotation. In Moire averaging, magnification is set so that the pixel period of the imaging element is a noninteger multiple of the site period. Accurate registration is achieved by providing for pre-defined pseudo-random sets of sites, where nanoballs are prevented from attachment to the substrate so that the sites of the array can be used in a pattern matching scheme as registration markers for absolute location identification. Information can be extracted with a high degree of confidence that it is correlated to a known location, while at the same time the amount of information that can be packed on a chip is maximized.
    • 在基因组测序系统和方法学中,提供了一种协议,用于精确和准确地对准和注册用于光学分析的纳米壁的平面阵列的图像。 最小化技术和莫尔平均用于校正或误差在次周期x-y偏移,刻度和旋转。 在莫尔平均中,设置放大倍率,使得成像元件的像素周期是站点周期的非整数倍。 通过提供预定义的伪随机集合的位置来实现准确的注册,其中防止了纳米线附着到基底,使得阵列的位置可以以模式匹配方案用作绝对位置识别的登记标记。 可以高信度地提取信息,使其与已知位置相关联,同时可将芯片上打包的信息量最大化。
    • 4. 发明申请
    • METHODS AND APPARATUS FOR IMAGE ANALYSIS
    • 图像分析方法与装置
    • WO01069534A2
    • 2001-09-20
    • PCT/US2001/007711
    • 2001-03-09
    • G06K9/36G06K9/46G06K9/66G06T5/00G06T7/00
    • G06K9/00G06K2209/07G06T7/0012G06T7/11G06T7/73G06T2207/10064G06T2207/30072
    • Image analysis techniques may be provided. Location of objects in an image may be determined based on intensity characteristics of pixels in the image. Objects that have been located may be mapped to a source for the objects based for example, on a grid structure that may have been used to place the objects. Differential analysis of objects of two source materials in images may be determined based on aligned versions of the images. Filtering may be used to weigh pixel characteristics. Such object analysis techniques may have been encoded into a set of machine-executable instructions and stored on a machine-readable storage medium for use by equipment that is to perform the techniques.
    • 可以提供图像分析技术。 可以基于图像中的像素的强度特性来确定图像中的对象的位置。 已经定位的对象可以被映射到例如基于可能已经用于放置对象的网格结构的对象的源。 可以基于图像的对准版本来确定图像中的两个源材料的对象的差分分析。 滤波可用于权重像素特性。 这样的对象分析技术可能已被编码成一组机器可执行指令,并且存储在机器可读存储介质上,供由要执行技术的设备使用。
    • 7. 发明申请
    • IMAGE ANALYSIS
    • 图像分析
    • WO2010017206A1
    • 2010-02-11
    • PCT/US2009/052718
    • 2009-08-04
    • HELICOS BIOSCIENCES CORPORATIONEMHOFF, JohnHEALY, JohnMOULTON, Keith
    • EMHOFF, JohnHEALY, JohnMOULTON, Keith
    • G06K9/00
    • G06K9/00G06K2209/07
    • Image processing for certain sequencing technologies requires data processing algorithms that provide fast sequence detection with low error rates. Methods and apparatus for performing image analysis for identifying nucleotide incorporations includes performing an image segmentation procedure on a plurality of data sets to identify sample objects and to create segmented data sets for each of the data sets. Each data set represents a sample image that includes a plurality of pixel locations and intensity data associated with each of the pixel locations. The segmented data sets represent identified sample objects for each one of the sample image data sets. An image registration procedure is performed on the segmented data sets to align the identified sample objects and to create data representative of the aligned identified sample objects. A strand formation procedure is then performed on the data representative of the aligned identified sample objects to identify nucleotide incorporations.
    • 某些测序技术的图像处理需要数据处理算法,可以提供具有低错误率的快速序列检测。 用于进行用于识别核苷酸掺入的图像分析的方法和装置包括对多个数据集执行图像分割过程以识别样本对象,并为每个数据集创建分段数据集。 每个数据集表示包括与每个像素位置相关联的多个像素位置和强度数据的样本图像。 分段数据集表示每个样本图像数据集的标识样本对象。 对分割的数据集执行图像注册过程以对准所识别的样本对象并创建表示对准的识别的样本对象的数据。 然后对表示对准的鉴定的样本对象的数据进行链形成程序以鉴定核苷酸掺入。
    • 9. 发明申请
    • TISSUE MICROARRAY ANALYSIS
    • 组织微量分析
    • WO2017032595A1
    • 2017-03-02
    • PCT/EP2016/068995
    • 2016-08-10
    • KONINKLIJKE PHILIPS N.V.
    • WIMBERGER-FRIEDL, ReinholdPIERIK, Anke
    • G06K9/00G06T7/00G06T11/00
    • G06K9/0014G06K9/00671G06K2209/07G06T7/337G06T2207/10056G06T2207/30024G06T2207/30072
    • The present invention relates to digital pathology. In order to facilitate analyzing a tissue microarray, an apparatus is provided for tissue examination. The apparatus comprises a data input (102), a tissue microarray analyzing unit (104), and an output (106). The data input is configured to receive a reference image of a reference slice obtained from a tissue sample block; and to receive a microarray image of a microarray slice comprising at least one tissue core obtained from at least the tissue sample block. The tissue microarray analyzing unit is configured to register tissue core images of at least one tissue core with the reference image based on a spatial arrangement of the respective tissue core within the tissue sample block. The output is configured to provide a registered result obtained from the tissue microarray analyzing unit for further analyzing purposes.
    • 本发明涉及数字病理学。 为了便于分析组织微阵列,提供了用于组织检查的装置。 该装置包括数据输入(102),组织微阵列分析单元(104)和输出(106)。 数据输入被配置为接收从组织样本块获得的参考切片的参考图像; 以及接收微阵列切片的微阵列图像,其包含从至少所述组织样本块获得的至少一个组织芯。 组织微阵列分析单元被配置为基于组织样本块内的相应组织核心的空间排列,将具有参考图像的至少一个组织核心的组织核心图像记录。 输出被配置为提供从组织微阵列分析单元获得的注册结果,以进一步分析目的。