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    • 2. 发明申请
    • AUTOMATIC ANALYZER AND ANALYSIS METHOD
    • 自动分析仪和分析方法
    • US20120109534A1
    • 2012-05-03
    • US13318535
    • 2010-04-12
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • G06F19/00
    • G01N35/00603G01N21/272
    • 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.
    • 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。
    • 3. 发明申请
    • FLOW TYPE PARTICLE IMAGE ANALYSIS METHOD AND DEVICE
    • 流动型粒子图像分析方法与装置
    • US20120076349A1
    • 2012-03-29
    • US13375249
    • 2010-05-17
    • Chihiro ManriNorio OowadaSatoshi Mitsuyama
    • Chihiro ManriNorio OowadaSatoshi Mitsuyama
    • G06K9/00
    • G01N15/1459G01N2015/1452
    • 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.
    • 在每个相互不同的多个焦点位置,从相同物质制成的标准颗粒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。 另外,根据焦点调整参数值与焦点位置之间的关系,将参数值转换为焦点位置,并将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。
    • 6. 发明授权
    • Automatic analyzer and analysis method
    • 自动分析仪和分析方法
    • US09310388B2
    • 2016-04-12
    • US13318535
    • 2010-04-12
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • G01C19/00G01N35/00G01N21/27
    • G01N35/00603G01N21/272
    • 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.
    • 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。
    • 9. 发明申请
    • AUTOMATIC ANALYSIS DEVICE AND AUTOMATIC ANALYSIS METHOD
    • 自动分析装置及自动分析方法
    • US20130046480A1
    • 2013-02-21
    • US13641881
    • 2011-04-05
    • Chihiro ManriSatoshi MitsuyamaTomonori MimuraKumiko Kamihara
    • Chihiro ManriSatoshi MitsuyamaTomonori MimuraKumiko Kamihara
    • G06F19/00G01N33/48
    • G01N21/272G01N21/78G01N35/00584G01N35/00693G01N2035/00465
    • There is provided a technique for automatically determining or predicting a line range specific to a sample that appears in a reaction curve in an automated analyzer for mixing a specimen and a reagent and measuring a change in a mixture of the specimen and the reagent with time. This invention approximates reaction curve data by a function and automatically determines a curve part at an early stage or a second stage of a reaction. The invention determines a line range not including a curve part for each sample and calculates a laboratory test value using absorbance data within the determined line range. This invention also automatically determines a start time of line at the early stage of the reaction on the basis of absorbance data obtained up to a point halfway through the reaction curve, predicts a line range on the basis of the end time of line and a planned end time of line, and calculates a predictive value on the basis of a result of the prediction.
    • 提供了一种用于自动确定或预测在自动分析器中出现在反应曲线中的样品特异性的线范围的技术,用于混合样品和试剂,并测量样品和试剂的混合物随时间的变化。 本发明通过功能近似反应曲线数据,并在反应的早期阶段或第二阶段自动确定曲线部分。 本发明确定不包括每个样品的曲线部分的线范围,并使用确定的线范围内的吸光度数据计算实验室测试值。 本发明还根据通过反应曲线中途的一点获得的吸光度数据自动确定反应初期的起始时间,基于线的结束时间和计划的预测线范围 并且基于预测结果来计算预测值。
    • 10. 发明申请
    • PARTICLE IMAGE ANALYSIS APPARATUS
    • 粒子图像分析装置
    • US20120134559A1
    • 2012-05-31
    • US13386846
    • 2010-07-23
    • Akiko SuzukiNorio OowadaMiki TakiSatoshi MitsuyamaChihiro Manri
    • Akiko SuzukiNorio OowadaMiki TakiSatoshi MitsuyamaChihiro Manri
    • G06K9/62
    • G01N15/1404G01N1/30G01N15/1459G01N35/00613G01N2015/1409G01N2015/1465
    • The particle analysis apparatus includes means that perform processes upon image processing of images (110) acquired in a measurement of the sample, simultaneously with a normal image processing for classifying target particles. The means included are: image processing means (110a) for calculating information of RGB density distributions of each whole image; abnormal state determination processing means (110c) for determining whether or not the acquired images are in an abnormal state according to tendencies of the RGB density distributions; and an abnormality judgment process means for making final determination of the existence of an abnormality by calculating an appearance frequency of abnormal images after all measurements for the one sample is completed. These means allow diagnosis of abnormalities to be conducted simultaneously with normal analysis without changing the configuration of the conventional apparatus.
    • 粒子分析装置包括与用于分类目标粒子的正常图像处理同时进行在样本测量中获取的图像(110)的图像处理的处理。 包括的装置是:用于计算每个整个图像的RGB密度分布的信息的图像处理装置(110a) 用于根据RGB浓度分布的趋势确定所获取的图像是否处于异常状态的异常状态确定处理装置(110c); 以及异常判断处理装置,用于通过在完成所述一个样本的所有测量之后计算异常图像的出现频率来最终确定异常的存在。 这些装置允许诊断异常与正常分析同时进行,而不改变常规装置的结构。