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Method for automated unsupervised ontological investigation of structural appearances in electron micrographs

机译:电子显微照片中结构外观的自动无监督本体研究方法

摘要

The method is for dividing dark objects, sub-structures and background of an image from an electron microscope into segments by analyzing pixel values. The segments are transformed and aligned so that the transformed objects, sub-structures and background are meaningfully comparable. The transformed segments are clustered into classes which are used for ontological investigation of samples that are visualized by using electron microscopy. A triangle inequality comparison can be used to further cluster groups of objects to transfer understanding from different interactions between objects and to associate interactions with each other.
机译:该方法通过分析像素值,将电子显微镜图像中的暗物体、子结构和背景分割成若干段。这些片段经过变换和对齐,以便变换后的对象、子结构和背景具有有意义的可比性。转化后的片段被聚集成类,用于通过电子显微镜观察样本的本体研究。三角形不等式比较可用于进一步聚类对象组,以转移对象之间不同交互的理解,并将交互相互关联。

著录项

  • 公开/公告号US11288491B2

    专利类型

  • 公开/公告日2022-03-29

    原文格式PDF

  • 申请/专利权人 INTELLIGENT VIRUS IMAGING INC.;

    申请/专利号US201816326359

  • 发明设计人 MARTIN RYNER;

    申请日2018-07-02

  • 分类号G06K9;G06K9/46;G06K9/62;G02B21/36;

  • 国家 US

  • 入库时间 2022-08-25 00:08:47

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