Region segmentation method for particle images and apparatus thereof
    1.
    发明授权
    Region segmentation method for particle images and apparatus thereof 失效
    用于粒子图像的区域分割方法及其装置

    公开(公告)号:US5768412A

    公开(公告)日:1998-06-16

    申请号:US523523

    申请日:1995-09-01

    IPC分类号: G06K9/00 G06T5/00 G06K9/34

    摘要: In a region segmentation method for particle images, which photographs stained and non-stained object particles supplied through an image input optical system and which uses at least two of the red-colored image, green-colored image and blue-colored image to discriminate between a background region and an object region where the object particles exist, the region segmentation method includes the processes of: a first process of setting a first group of thresholds in density value for a first group of at least two images selected from the red-colored image, green-colored image and blue-colored image to extract regions greatly differing in density from the background region, and producing a first binary image from the first group of images; a second process of calculating for each pixel a quantity representing the magnitude of change of density in an area neighboring each of the pixels making up each of one or more second group images selected from the red-colored image, green-colored image and blue-colored image, comparing a change of density in the background region with the quantity representing the magnitude of change of density calculated for each pixel, setting a second group of thresholds for extracting regions whose cane of density is larger than tat of the background region, and producing a second binary image from the second group of images; and a third process of performing a logic operation on the first binary image and the second binary image to produce a third binary image showing the background region and the object region.

    摘要翻译: 在用于粒子图像的区域分割方法中,通过图像输入光学系统提供的照片染色和未染色的物体粒子,并且使用至少两个红色图像,绿色图像和蓝色图像来区分 背景区域和存在物体粒子的对象区域,区域分割方法包括以下处理:对于从红色中选择的至少两个图像的第一组,设置密度值的第一组阈值的第一处理 图像,绿色图像和蓝色图像以提取与背景区域密度大不相同的区域,以及从第一组图像产生第一二进制图像; 对于每个像素计算表示构成从红色图像,绿色图像和蓝色图像中选择的一个或多个第二组图像中的每一个的每个像素附近的区域中的浓度变化幅度的量的第二过程, 将背景区域中的浓度变化与表示为每个像素计算的浓度变化幅度的量进行比较,设定第二组阈值,以提取密度较大的背景区域的tat的区域,以及 从第二组图像产生第二二进制图像; 以及对所述第一二进制图像和所述第二二进制图像执行逻辑运算以产生示出所述背景区域和所述对象区域的第三二进制图像的第三处理。

    Pattern recognition apparatus and pattern recognition method
    2.
    发明授权
    Pattern recognition apparatus and pattern recognition method 有权
    模式识别装置和模式识别方法

    公开(公告)号:US06549661B1

    公开(公告)日:2003-04-15

    申请号:US09331150

    申请日:1999-06-17

    IPC分类号: G06K962

    摘要: Recognizable data storage apparatus stores an image feature parameter of an object and its classification result for those objects for which said classification results are evaluated as having high reliability and recognizable and for which a classification result is outputted by first pattern recognition apparatus, and recognition suspension data storage apparatus stores an image feature parameter for those objects for which said classification results are evaluated as having low reliability and as being suspended from recognition. Pattern recognition method constitution apparatus constructs second pattern recognition apparatus on the basis of the classification result stored in the recognizable data storage apparatus, and re-classification is conducted for those objects recognition of which is to be suspended. A neural network, for example, is used for the second pattern recognition apparatus. Wrong classification of objects due to an individual difference can be reduced and automated pattern recognition having high accuracy without depending on an individual difference can be accomplished.

    摘要翻译: 可识别数据存储装置存储被评价为具有高可靠性和可识别性的那些对象的对象的图像特征参数及其分类结果,并且由第一模式识别装置输出分类结果,并且识别暂停数据 存储装置存储所述分类结果被评估为具有低可靠性并被停止识别的那些对象的图像特征参数。 模式识别方法构成装置根据存储在可识别数据存储装置中的分类结果,构建第二模式识别装置,对于要暂停的对象识别进行重新分类。 例如,神经网络被用于第二模式识别装置。 可以减少由于个体差异导致的对象的错误分类,并且可以实现具有高精度的自动模式识别,而不依赖于个体差异。

    Pattern recognition system
    3.
    发明授权
    Pattern recognition system 失效
    模式识别系统

    公开(公告)号:US5911002A

    公开(公告)日:1999-06-08

    申请号:US715592

    申请日:1996-09-18

    摘要: In a pattern recognition system provided with a pattern recognition processing unit having a network structure constructed of an input layer for inputting a feature parameter of a subject under recognition as input information an intermediate layer for processing the input information and an output layer for outputting a processed result output values of respective output nodes for constituting the output layer, corresponding to the input information, are compared with each other by the pattern recognition processing unit, and a classification item corresponding to the output node whose output value is maximum is stored into a storage unit as a recognized result with respect to the input information. The pattern recognition system is also provided with a reliability evaluating unit for setting a threshold with respect to an output value of each of the output nodes and for evaluating reliability of the recognized result based upon the output values of the respective output nodes. When the reliability evaluating unit judges that the reliability is high, the recognized result is stored into the storage unit.

    摘要翻译: 在具有图案识别处理单元的图案识别系统中,该图案识别处理单元具有由输入层构成的网络结构,该输入层用于输入被识别的被摄体的特征参数作为输入信息,用于处理输入信息的中间层和用于输出处理的输出层 对应于输入信息的用于构成输出层的各个输出节点的结果输出值通过模式识别处理单元相互比较,并且与输出值最大的输出节点对应的分类项目被存储到存储器 单位作为输入信息的公认结果。 模式识别系统还设置有可靠性评估单元,用于相对于每个输出节点的输出值设置阈值,并且用于基于各个输出节点的输出值来评估识别结果的可靠性。 当可靠性评估单元判断可靠性高时,将识别结果存储在存储单元中。

    Automatic analysis device and analysis method
    4.
    发明授权
    Automatic analysis device and analysis method 有权
    自动分析装置及分析方法

    公开(公告)号:US09476893B2

    公开(公告)日:2016-10-25

    申请号:US13321072

    申请日:2010-05-10

    IPC分类号: G01N35/00

    摘要: Provided are an automated analyzer and an automatic analysis method for highly accurately determining presence or absence of abnormality based on reaction process data obtained when concentration of a chemical component or an activity level of an enzyme is measured. The reaction process data is approximated by a function, and shape feature quantities indicating features of a shape of a curve section at an early stage of reaction are calculated. The obtained shape feature quantities are used to determine the presence or absence of abnormality.

    摘要翻译: 本发明提供一种自动分析装置和自动分析方法,用于根据测定化学成分浓度或酶活性水平时获得的反应过程数据,高精度地确定异常存在或不存在。 反应过程数据由功能近似,并且计算表示在反应初期的曲线部分的形状的特征的形状特征量。 获得的形状特征量用于确定是否存在异常。

    Automatic analyzer and analysis method
    5.
    发明授权
    Automatic analyzer and analysis method 有权
    自动分析仪和分析方法

    公开(公告)号:US09310388B2

    公开(公告)日:2016-04-12

    申请号:US13318535

    申请日:2010-04-12

    IPC分类号: G01C19/00 G01N35/00 G01N21/27

    CPC分类号: G01N35/00603 G01N21/272

    摘要: In known automatic analyzers for detecting an abnormality by approximating reaction process data using a function, accuracy of detecting a reaction abnormality is degraded because of poor approximation accuracy depending on test items. Data processing means stores the absorbance and time of day at which the absorbance is measured as time-series data. Letting x denote absorbance, t denote time, and * denote a symbol representing multiplication, we have a function x=a0+a1*exp(−k1*t)+a2*exp(−k2*t). Values of parameters a0, a1, a2, ai, k1, and k2 are calculated so that a difference between the absorbance at the measured time calculated using the above expression and the time-series data is minimal, and presence of an abnormality is determined based on the parameter values.

    摘要翻译: 在用于通过使用功能近似反应过程数据来检测异常的已知的自动分析器中,由于根据测试项目的近似精度不足,检测反应异常的精度降低。 数据处理装置将吸光度和吸光度时间的时间存储为时间序列数据。 令x表示吸光度,t表示时间,*表示表示乘法的符号,我们有函数x = a0 + a1 * exp(-k1 * t)+ a2 * exp(-k2 * t)。 计算参数a0,a1,a2,ai,k1和k2的值,使得使用上述表达式计算的测量时间的吸光度与时间序列数据之间的差异最小,并且基于 对参数值。

    Nucleic acid base sequence determining method and inspecting system
    7.
    发明授权
    Nucleic acid base sequence determining method and inspecting system 有权
    核酸碱基序列测定方法及检测系统

    公开(公告)号:US07660676B2

    公开(公告)日:2010-02-09

    申请号:US10315143

    申请日:2002-12-10

    IPC分类号: G06F19/00

    CPC分类号: G01N27/44721

    摘要: When the nucleic-acid base sequence of A, C, G, and T (or U) is determined by interpreting fluorescent-light intensity waveform data acquired by measuring nucleic-acid fragments, it is desirable to determine, with a high-accuracy, the base sequence at a location at which the data interpretation is difficult. In order to accomplish this object, the data interpretation is performed by making reference to information acquired by performing the statistical processing to plural pieces of fluorescent-light intensity waveform data corresponding to already-known base sequences. This method allows the determination of the nucleic-acid base sequence at the above-described location.

    摘要翻译: 当通过解释通过测量核酸片段获得的荧光强度波形数据来确定A,C,G和T(或U)的核酸碱基序列时,希望以高精度确定 在数据解释困难的位置的基本序列。 为了实现该目的,通过参照通过对与已知的碱基序列相对应的多个荧光强度波形数据进行统计处理获得的信息来进行数据解释。 该方法允许在上述位置确定核酸碱基序列。

    Automatic analysis device and automatic analysis program
    8.
    发明授权
    Automatic analysis device and automatic analysis program 有权
    自动分析装置和自动分析程序

    公开(公告)号:US09562917B2

    公开(公告)日:2017-02-07

    申请号:US14117717

    申请日:2012-04-17

    IPC分类号: G01N31/00 G01N35/00 G01N35/04

    摘要: Accuracy control of an automatic analysis device that mixes a sample and a reagent to measure temporal change of a mixed solution is realized. A plurality of measurement point data is acquired from a reaction process of the sample and the reagent. Parameters and test values of approximate equations for approximating the plurality of measurement point data are accumulated in a storage unit. A distribution map of reference data corresponding to the parameters or the test values is created based on predetermined numbers of the parameters or the test values accumulated in the storage unit. Next, a plurality of screens for individually superimposing, on the distribution map, curved lines corresponding to a plurality of regression function candidates obtained by applying a plurality of regression functions are arranged and presented on a display screen, so as to approximate the data to the distribution map of the reference data.

    摘要翻译: 实现了混合样品和试剂以测量混合溶液的时间变化的自动分析装置的精度控制。 从样品和试剂的反应过程获取多个测量点数据。 用于近似多个测量点数据的近似等式的参数和测试值被累积在存储单元中。 基于在存储单元中累积的参数或测试值的预定数量来创建与参数或测试值相对应的参考数据的分布图。 接下来,在分配图上单独叠加多个屏幕,将与通过应用多个回归函数获得的多个回归函数候选对应的曲线布置并呈现在显示屏上,以将数据近似为 参考数据的分布图。

    Automatic analyzer
    9.
    发明授权
    Automatic analyzer 有权
    自动分析仪

    公开(公告)号:US09488667B2

    公开(公告)日:2016-11-08

    申请号:US13318819

    申请日:2010-04-12

    IPC分类号: G01C19/00 G01N35/00

    摘要: To change a photometric time for each item or to change a measurement time for each specimen so that time required for biochemical measurement can be reduced, an index that indicates an end of a reaction is required. Unfortunately, however, no methods have been available for determining the end of the reaction. In measuring a substance to be measured contained in a sample, a parameter in an approximate expression is calculated using a measured value that changes with time, a degree of convergence of a reaction is determined according to a degree of convergence of the parameter, and a measured value at the end of the reaction is calculated using the parameter at a point in time at which it is determined that the reaction has converged.

    摘要翻译: 要更改每个项目的光度时间或更改每个样品的测量时间,以便可以减少生物化学测量所需的时间,则需要指示反应结束的指标。 然而,不幸的是,没有方法可用于确定反应的结束。 在测定样品中含有的待测物质时,使用随时间变化的测定值来计算近似表达式中的参数,根据参数的收敛程度确定反应的收敛程度, 使用在确定反应已经收敛的时间点的参数来计算反应结束时的测量值。

    Flow type particle image analysis method and device
    10.
    发明授权
    Flow type particle image analysis method and device 有权
    流式粒子图像分析方法及装置

    公开(公告)号:US08831306B2

    公开(公告)日:2014-09-09

    申请号:US13375249

    申请日:2010-05-17

    IPC分类号: G06K9/00 G06K9/40 G01N15/14

    CPC分类号: G01N15/1459 G01N2015/1452

    摘要: At each of mutually different multiple focal positions, focal adjustment parameter values are obtained from images of standard particles made of the same substance. Each focal adjustment parameter value is figured out as any one of the ratio between the density value around the center of the standard particle image and the density value around the outline, the difference therebetween, and the density value around the center. The in-focus position is adjusted on the basis of the relationship between the obtained focal adjustment parameter values and the focal positions. Moreover, on the basis of the relationship between the focal adjustment parameter values and the focal positions, the parameter values are converted into focal positions, and the focal positions and dispersion thereof are used to check the displacement of the in-focus position and the thickness of the sample liquid.

    摘要翻译: 在每个相互不同的多个焦点位置,从相同物质制成的标准粒子的图像中获得焦点调整参数值。 每个焦点调整参数值被计算为标准颗粒图像的中心附近的密度值与轮廓周围的密度值之间的比率,它们之间的差异以及围绕中心的密度值之间的任何一个。 基于获得的焦点调整参数值和焦点位置之间的关系来调整对焦位置。 此外,基于焦点调整参数值与焦点位置之间的关系,参数值被转换为焦点位置,并且其焦点位置和色散用于检查对焦位置和厚度的位移 的样品液体。