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21. 发明申请

US20120065898A1 AUTOMATIC ANALYZER 有权
标题翻译：自动分析仪
公开(公告)号：US20120065898A1
公开(公告)日：2012-03-15
申请号：US13318819
申请日：2010-04-12
申请人： Kumiko Kamihara , Satoshi Mitsuyama , Tomonori Mimura , Chihiro Manri
发明人： Kumiko Kamihara , Satoshi Mitsuyama , Tomonori Mimura , Chihiro Manri
IPC分类号： G06F19/00 , G01N33/48
CPC分类号： G01N35/00613 , G01N2035/0097
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。

22. 发明授权

US07054756B2 Bacteriological examination system 有权
公开(公告)号：US07054756B2
公开(公告)日：2006-05-30
申请号：US10013527
申请日：2001-12-13
申请人： Kazuyuki Shimada , Hitoshi Matsuo , Satoshi Mitsuyama , Hitoshi Otake
发明人： Kazuyuki Shimada , Hitoshi Matsuo , Satoshi Mitsuyama , Hitoshi Otake
IPC分类号： G01N33/48 , G01N31/00 , G06G7/48 , G06G7/58
CPC分类号： G01N33/56911 , G06F19/00 , G06F19/326 , G16H10/20 , Y02A90/26
摘要： In a bacteriological examination system, an expected range of drug sensitivity is calculated from the results of statistics of data acquired at past drug sensitivity tests. Testing panels accommodating drugs of different densities (ex. increasing by increments) covers the calculated expected range are selected for testing. An average-per-sample value of drug sensitivities of bacteria that reside in a hospital and an average-per-sample value of drug sensitivities of bacteria that reside in a limited region are preserved separately in a results-of-test database. A difference between statistical values of drug sensitivities of one bacterial species in a bacterial classification group residing in a hospital to an object drug and statistical values of drug sensitivities of the bacterial species residing in a limited region is calculated. The difference then is divided by the average-per-same value in the limited region. An average-per-bacterial species value is then obtained by averaging the difference-division values of the involved species to obtain a drug fastness index relative to the object drug.

23. 发明授权

US10203277B2 Automatic analysis device and automatic analysis method 有权
公开(公告)号：US10203277B2
公开(公告)日：2019-02-12
申请号：US13641881
申请日：2011-04-05
申请人： Chihiro Manri , Satoshi Mitsuyama , Tomonori Mimura , Kumiko Kamihara
发明人： Chihiro Manri , Satoshi Mitsuyama , Tomonori Mimura , Kumiko Kamihara
IPC分类号： G01N21/27 , G01N35/00 , G01N21/78
摘要： 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.

24. 发明授权

US09239281B2 Method and device for dividing area of image of particle in urine 有权
标题翻译：尿液中颗粒图像区域的方法和装置
公开(公告)号：US09239281B2
公开(公告)日：2016-01-19
申请号：US12920424
申请日：2009-03-26
申请人： Chihiro Manri , Hideyuki Ban , Satoshi Mitsuyama , Norio Owada
发明人： Chihiro Manri , Hideyuki Ban , Satoshi Mitsuyama , Norio Owada
IPC分类号： G01N15/14
CPC分类号： G01N15/147 , G01N15/1475 , G01N2015/1472
摘要： An objective is to provide a method and an apparatus for accurately extracting a region of an object particle from a urine particle image obtained by taking an image of urine particles in a urine specimen having varying properties. First, a first object region is extracted using one or more of an R image, a G image, and a B image of a urine particle image taken by an image input optical system configured to input particle images. Then, a density distribution and a size of the first object region of one or more of the R image, the G image, and the B image are calculated. Based on these feature parameters, the first object region is classified into a predetermined number of groups. A second object region is extracted from a local region including the first object region, by using one or more of the R image, the G image, and the B image, depending on each of the groups. This configuration allows stable region segmentation for each particle image even for a urine specimen in which urine particles having different sizes and tones coexist.
摘要翻译：目的是提供一种从通过在具有不同性质的尿液样本中获取尿颗粒图像而获得的尿粒图像来准确地提取物体颗粒区域的方法和装置。首先，使用被配置为输入粒子图像的图像输入光学系统拍摄的尿粒图像的R图像，G图像和B图像中的一个或多个提取第一对象区域。然后，计算R图像，G图像和B图像中的一个或多个的第一对象区域的浓度分布和大小。基于这些特征参数，将第一对象区域分类为预定数量的组。根据每个组，通过使用R图像，G图像和B图像中的一个或多个，从包括第一对象区域的局部区域中提取第二对象区域。该配置允许对于其中具有不同尺寸和音调的尿颗粒共存的尿液样本，对于每个颗粒图像的稳定区域分割。

25. 发明申请

US20130107256A1 Analytical Apparatus and Analytical Method 有权
标题翻译：分析仪器及分析方法
公开(公告)号：US20130107256A1
公开(公告)日：2013-05-02
申请号：US13809098
申请日：2011-07-08
申请人： Satoshi Mitsuyama , Norio Owada , Chihiro Manri , Sadamitsu Aso
发明人： Satoshi Mitsuyama , Norio Owada , Chihiro Manri , Sadamitsu Aso
IPC分类号： G01N21/53
CPC分类号： G01N21/53 , G01N15/1012 , G01N15/1459 , G01N21/25 , G01N21/64
摘要： Disclosed is a flow cytometer using a spectral device and a multi-detector, in which setting of an optimum wavelength band prior to measuring fluorescence intensity in real time is supported. A signal processing unit stores the intensities in multiple wavelength bands, the intensities being obtained by measuring a calibration sample, and the distribution of the intensities is calculated and displayed by each of the wavelength bands.
摘要翻译：公开了一种使用光谱装置和多检测器的流式细胞仪，其中支持在实时测量荧光强度之前设置最佳波长带。信号处理单元将强度存储在多个波长带中，通过测量校准样品获得的强度，并且通过每个波长带计算并显示强度分布。

26. 发明申请

US20110125415A1 METHOD FOR ASSISTING JUDGMENT OF ABNORMALITY OF REACTION PROCESS DATA AND AUTOMATIC ANALYZER 有权
标题翻译：协助反应过程数据异常判断的方法和自动分析仪
公开(公告)号：US20110125415A1
公开(公告)日：2011-05-26
申请号：US12995219
申请日：2009-05-28
申请人： Satoshi Mitsuyama , Yuki Fukuyama , Hidekatsu Takada , Hideyuki Ban , Tomonori Mimura
发明人： Satoshi Mitsuyama , Yuki Fukuyama , Hidekatsu Takada , Hideyuki Ban , Tomonori Mimura
IPC分类号： G06F19/00 , G01N35/00 , G01N21/00
CPC分类号： G01N21/77 , G01N21/272 , G01N21/78 , G01N35/00603 , G01N2035/0097
摘要： In the event of a suspected abnormality in the device, sample or reagent, a laboratory technician had to examine the abnormal reaction process data item by item, and infer the cause of the abnormality, which took effort and time in some cases. Abnormality judgment is assisted using: indicator computation means that computes an indicator indicating a feature parameter of a given waveform by applying a pre-defined evaluation formula to time series data of photometric values; relative indicator computation means that computes a value indicating a relationship of the indicator of target data to the indicator computed in the past; and indicator display means that simultaneously displays a value computed by the indicator computation means and the value computed by the relative indicator computation means. According to the present method, which is a method for assisting judgment of abnormality wherein a feature parameter of a given absorbance change is computed, it can be made easier to find certain abnormalities, and it becomes possible to attain more efficient device maintenance and improved device reliability without the addition of any new parts.
摘要翻译：如果装置，样品或试剂中有疑似异常，实验室技术人员必须逐项检查异常反应过程数据，并推断异常的原因，在某些情况下花费时间和精力。协助使用以下方式辅助异常判断：指标计算装置，通过对光度值的时间序列数据应用预定义的评估公式来计算指示给定波形的特征参数的指标; 相对指标计算是指计算出目标数据指标与过去计算出的指标的关系的值; 指示符显示装置，同时显示由指标计算装置计算的值和由相关指标计算装置计算的值。根据本方法，其是计算给定吸光度变化的特征参数的异常判断方法，可以更容易地发现某些异常，并且可以实现更有效的装置维护和改进装置可靠性无需添加任何新零件。

27. 发明申请

US20110002516A1 METHOD AND DEVICE FOR DIVIDING AREA OF IMAGE OF PARTICLE IN URINE 有权
标题翻译：用于分散尿素图像区域的方法和装置
公开(公告)号：US20110002516A1
公开(公告)日：2011-01-06
申请号：US12920424
申请日：2009-03-26
申请人： Chihiro Manri , Hideyuki Ban , Satoshi Mitsuyama , Norio Owada
发明人： Chihiro Manri , Hideyuki Ban , Satoshi Mitsuyama , Norio Owada
IPC分类号： G06T7/00 , G06K9/34
CPC分类号： G01N15/147 , G01N15/1475 , G01N2015/1472
摘要： An objective is to provide a method and an apparatus for accurately extracting a region of an object particle from a urine particle image obtained by taking an image of urine particles in a urine specimen having varying properties. First, a first object region is extracted using one or more of an R image, a G image, and a B image of a urine particle image taken by an image input optical system configured to input particle images. Then, a density distribution and a size of the first object region of one or more of the R image, the G image, and the B image are calculated. Based on these feature parameters, the first object region is classified into a predetermined number of groups. A second object region is extracted from a local region including the first object region, by using one or more of the R image, the G image, and the B image, depending on each of the groups. This configuration allows stable region segmentation for each particle image even for a urine specimen in which urine particles having different sizes and tones coexist.
摘要翻译：目的是提供一种从通过在具有不同性质的尿液样本中获取尿颗粒图像而获得的尿粒图像来准确地提取物体颗粒区域的方法和装置。首先，使用被配置为输入粒子图像的图像输入光学系统拍摄的尿粒图像的R图像，G图像和B图像中的一个或多个提取第一对象区域。然后，计算R图像，G图像和B图像中的一个或多个的第一对象区域的浓度分布和大小。基于这些特征参数，将第一对象区域分类为预定数量的组。根据每个组，通过使用R图像，G图像和B图像中的一个或多个，从包括第一对象区域的局部区域中提取第二对象区域。该配置允许对于其中具有不同尺寸和音调的尿颗粒共存的尿液样本，对于每个颗粒图像的稳定区域分割。

28. 发明申请

US20050216208A1 Diagnostic decision support system and method of diagnostic decision support 审中-公开
标题翻译：诊断决策支持系统和诊断决策支持方法
公开(公告)号：US20050216208A1
公开(公告)日：2005-09-29
申请号：US10901215
申请日：2004-07-29
申请人： Akira Saito , Satoshi Mitsuyama , Hideyuki Ban
发明人： Akira Saito , Satoshi Mitsuyama , Hideyuki Ban
IPC分类号： A61B5/00 , C12Q1/68 , G01N33/48 , G01N33/50 , G06F20060101 , G06F19/00 , G06F19/18 , G06Q50/00 , G06Q50/10 , G06Q50/22 , G06F17/60
CPC分类号： G06Q50/24 , C12Q1/6883 , G16B20/00 , G16B40/00 , G16H50/20 , G16H50/30
摘要： There is provided a system performing high-accuracy diagnostic decision support in consideration of the influence of a haplotype block and a genetic structure. Haplotype block inference means 13 infers the positions of haplotype blocks, and analyzes each of the haplotype blocks to infer a haplotype pattern of individuals with high accuracy. Genetic structure inference means 15 performs clustering the individuals on the basis of the haplotype pattern to divide a population into some subpopulations, and removes the influence of a genetic structure existing in the population. A genetic structure information database 16 and a clinical information database 11 are used to analyze association of clinical information with genetic information for providing high-accuracy diagnostic decision support knowledge. On the basis of the diagnostic decision support knowledge obtained by analyzing the association of clinical information with genetic information, risk calculation means 19 calculates a risk that a predetermined individual is affected by disease.
摘要翻译：考虑到单倍型块和遗传结构的影响，提供了执行高精度诊断决策支持的系统。单倍型块推断装置13推断单倍型块的位置，并且分析每个单倍型块以高精度推断个体的单倍型模式。遗传结构推理手段15基于单倍型模式对个体进行聚类，将群体分成一些亚群，并消除群体中存在的遗传结构的影响。遗传结构信息数据库16和临床信息数据库11用于分析临床信息与遗传信息的关联，以提供高精度的诊断决策支持知识。根据通过分析临床信息与遗传信息的关联而获得的诊断决策支持知识，风险计算装置19计算预定个体受疾病影响的风险。

29. 发明授权

US5911002A Pattern recognition system 失效
标题翻译：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
申请人： Satoshi Mitsuyama , Jun Motoike , Norio Oowada , Yasuaki Kojima
发明人： Satoshi Mitsuyama , Jun Motoike , Norio Oowada , Yasuaki Kojima
IPC分类号： G01N15/02 , G01N15/14 , G01N33/493 , G06F15/18 , G06K9/66 , G06N3/00 , G06T7/00 , G06K9/62 , G06E1/00
CPC分类号： G06K9/6217 , G01N33/493 , G06K9/00147 , G06K9/6262 , G01N15/1463 , G01N2015/1488
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。

30. 发明授权

US5768412A Region segmentation method for particle images and apparatus thereof 失效
标题翻译：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
申请人： Satoshi Mitsuyama , Jun Motoike , Akihide Hashizume
发明人： Satoshi Mitsuyama , Jun Motoike , Akihide Hashizume
IPC分类号： G06K9/00 , G06T5/00 , G06K9/34
CPC分类号： G06T7/0081 , G06K9/00127 , G06T7/0012 , G06T2207/10056 , G06T2207/20056 , G06T2207/30024
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。

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