Raman spectrum measuring method for drug inspection
    52.
    发明授权
    Raman spectrum measuring method for drug inspection 有权
    用于药物检查的拉曼光谱测量方法

    公开(公告)号:US09250180B2

    公开(公告)日:2016-02-02

    申请号:US14495233

    申请日:2014-09-24

    摘要: A raman spectrum measuring method for drug inspection is provided, comprising: measuring raman spectrum of a sample to be inspected to acquire an original raman spectrum curve of the sample; determining whether the original raman spectrum curve has a characterizing portion, and if not, measuring a mixture of the sample and an enhancing agent to acquire an enhanced raman spectrum curve of the sample; and if the original raman spectrum curve of the sample to be inspected has a characterizing portion, comparing the original raman spectrum curve of the sample with data in an original raman spectrum database of a drug to determine whether the sample contains the drug, otherwise, comparing the enhanced raman spectrum curve of the sample with data in an enhanced raman spectrum database of the drug to determine whether the sample to be inspected contains the drug.

    摘要翻译: 提供了用于药物检查的拉曼光谱测量方法,包括:测量被检样品的拉曼光谱以获得样品的原始拉曼光谱曲线; 确定原始拉曼光谱曲线是否具有特征部分,如果不是,则测量样品和增强剂的混合物以获得样品的增强的拉曼光谱曲线; 如果要检查的样本的原始拉曼光谱曲线具有特征部分,则将样品的原始拉曼光谱曲线与药物的原始拉曼光谱数据库中的数据进行比较,以确定样品是否含有药物,否则比较 增强的拉曼光谱曲线的样品与增强的拉曼光谱数据库中的数据,以确定待检样品是否含有药物。

    COMPUTED TOMOGRAPHY DEVICE BASED ON STRAIGHT TRAJECTORY AND X-RAY IMAGING DEVICE
    53.
    发明申请
    COMPUTED TOMOGRAPHY DEVICE BASED ON STRAIGHT TRAJECTORY AND X-RAY IMAGING DEVICE 有权
    基于直线轨道和X射线成像装置的计算机图像设备

    公开(公告)号:US20150085973A1

    公开(公告)日:2015-03-26

    申请号:US14494301

    申请日:2014-09-23

    IPC分类号: G01N23/04 G21K1/02

    摘要: A straight trajectory CT device can be used in radiation imaging. The device includes: a ray-generating unit that generates a ray within a specific range of field angle; a channel for an object to be inspected though which the object to be inspected passes; a first collimator; and a ray receiving unit provided on both sides of the channel for the object to be inspected. The ray beam is received by the ray receiving unit after penetrating the first collimator and the object to be inspected in order. The ray generating unit is static and the first collimator moves in the same direction as the ray receiving unit. This direction is parallel to the channel for the object to be inspected. The device can complete computed tomography with a minimum of one ray receiving unit, thereby simplifying the structure of the device and reducing its cost.

    摘要翻译: 直线轨迹CT装置可用于放射成像。 该装置包括:射线产生单元,其在特定的场角范围内产生射线; 被检查对象通过的通道; 第一个准直器 以及设置在用于被检查物体的通道两侧的光线接收单元。 射线束在穿透第一准直仪和待检查物体之后被射线接收单元接收。 射线产生单元是静态的,并且第一准直仪沿与射线接收单元相同的方向移动。 该方向与待检查对象的通道平行。 该设备可以用至少一个射线接收单元完成计算机断层摄影,从而简化了设备的结构并降低了其成本。

    Raman spectroscopy method of measuring melamine contents in dairy products having different matrixes
    54.
    发明授权
    Raman spectroscopy method of measuring melamine contents in dairy products having different matrixes 有权
    测量具有不同基质的乳制品中三聚氰胺含量的拉曼光谱法

    公开(公告)号:US08891081B1

    公开(公告)日:2014-11-18

    申请号:US14145454

    申请日:2013-12-31

    IPC分类号: G01J3/44 G01N21/65

    CPC分类号: G01N21/65

    摘要: A raman spectroscopy method of measuring melamine contents in dairy products having different matrixes. The method includes: (a) establishing a database of characteristic curves of dairy products having different matrixes; (b) taking several copies of the dairy products having one certain unknown matrix and adding melamine standard solutions having different concentrations therein, to obtain a series of dairy product samples in which the relative concentrations of the melamine are known; (c) performing raman spectrum testing analysis and obtaining corresponding characteristic peak intensities to obtain a slope of the characteristic curve showing variation of the characteristic peak intensities with the relative concentrations of the melamine; (d) searching the database of step (a) using the slope of the characteristic curve of the dairy product samples to find a matching characteristic curve, and (e) calculating concentration of melamine in the dairy products by using the matched characteristic curve and the characteristic peak intensity.

    摘要翻译: 测量具有不同基质的乳制品中三聚氰胺含量的拉曼光谱法。 该方法包括:(a)建立具有不同矩阵的乳制品特征曲线数据库; (b)取几份具有一定未知基质的乳制品,并加入其中浓度不同的三聚氰胺标准溶液,以获得其中已知三聚氰胺的相对浓度的一系列乳制品样品; (c)进行拉曼光谱测试分析并获得相应的特征峰强度,以获得特征曲线的斜率,显示特征峰强度与三聚氰胺的相对浓度的变化; (d)使用乳制品样品的特征曲线的斜率来搜索步骤(a)的数据库,以找到匹配的特征曲线,以及(e)通过使用匹配的特征曲线计算乳制品中三聚氰胺的浓度, 特征峰强度。

    THREE-DIMENSIONAL DATA PROCESSING AND RECOGNIZING METHOD
    56.
    发明申请
    THREE-DIMENSIONAL DATA PROCESSING AND RECOGNIZING METHOD 有权
    三维数据处理和识别方法

    公开(公告)号:US20140185873A1

    公开(公告)日:2014-07-03

    申请号:US14136402

    申请日:2013-12-20

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00201 G06K2209/09

    摘要: A three-dimensional data processing and recognizing method including scanning and re-constructing an object to be detected so as to obtain three-dimensional data for recognition of the object to be detected; and extracting data matching to features from the three-dimensional data, so that the extracted data constitutes an interested target in order to display and recognize the object to be detected. A quick method to recognize an object to be detected, such as the shapes of cuboid, cylinder, and cutting tool, and so on.

    摘要翻译: 一种三维数据处理和识别方法,包括扫描和重新构造待检测对象以获得用于识别待检测对象的三维数据; 并且从三维数据提取与特征匹配的数据,从而提取的数据构成感兴趣的目标,以便显示和识别待检测的对象。 识别待检测物体的快速方法,如长方体,圆柱体和切割工具的形状等。

    SEMANTIC-BASED METHOD AND APPARATUS FOR RETRIEVING PERSPECTIVE IMAGE

    公开(公告)号:US20210286842A1

    公开(公告)日:2021-09-16

    申请号:US17202088

    申请日:2021-03-15

    IPC分类号: G06F16/583 G06K9/00 G06F16/55

    摘要: A semantic-based method and apparatus for retrieving a perspective image, an electronic device and a computer-readable storage medium are provided. An method includes obtaining a perspective image for a space containing an inspected object therein. A semantic division on the perspective image is performed using a first method, to obtain a plurality of semantic region units. A feature extraction network is constructed using a second method. Based on the perspective image and each of the plurality of semantic region units, a feature of each semantic region unit is extracted using the feature extraction network. Based on the feature of each semantic region unit, an image most similar to the semantic region unit is retrieved from an image feature database, to assist in determining an inspected object in the semantic region unit.