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    • 1. 发明申请
    • FLOW CYTOMETER
    • 流量计
    • WO2015084676A1
    • 2015-06-11
    • PCT/US2014/067682
    • 2014-11-26
    • IRIS INTERNATIONAL, INC.
    • CHEN, Yong, Qin
    • G01N15/14G01N21/53
    • G01N15/1436G01N15/1459G01N21/53G01N21/645G01N21/85G01N2015/1493
    • The disclosed flow cytometer includes a laser diode ("LD") based optical subsystem for impinging a beam of light upon particles passing through a viewing zone, a composite microscope objective for gathering and imaging light scattered from or fluoresced by particles passing through the viewing zone, a fluidic subsystem for supplying a liquid sheath flow to the viewing zone, a peristaltic pump for injecting into the liquid sheath flow a liquid sample flow carrying particles that passes together with the liquid sheath flow through the viewing zone, a multimode optical fiber that receives scattered and fluoresced light from the viewing zone that the composite microscope objective gathers and images, and a wavelength division multiplexer for optically separating into color bands light received via the optical fiber.
    • 所公开的流式细胞仪包括基于激光二极管(“LD”)的光学子系统,用于将光束撞击通过观察区的颗粒,用于收集和成像通过观察区的颗粒散射或发出的光的复合显微镜物镜 用于向观察区域提供液体鞘流的流体子系统,用于向液体鞘内注入的蠕动泵流动携带与液体鞘流一起通过观察区的颗粒的液体样品流;多模光纤,其接收 复合显微镜物镜收集的观察区的散射和发出的光,以及用于光学分离成经由光纤接收的光束的波分复用器。
    • 2. 发明申请
    • DYNAMIC FOCUS SYSTEM AND METHODS
    • 动态聚焦系统和方法
    • WO2018067770A1
    • 2018-04-12
    • PCT/US2017/055245
    • 2017-10-05
    • IRIS INTERNATIONAL, INC.
    • LU, JiuliuQIAN, BianWANDERS, Bart J.GOOD, KenRILEY, John
    • G01N15/14G02B21/24G02B27/36G01N15/10
    • A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.
    • 提出了一种用于动态聚焦的方法,其可以由动态聚焦控制器执行,该动态聚焦控制器可以从图像捕获设备接收图像,并且对于每个图像确定图像内的粒子的边界,以及 基于粒子的边界计算图像的像素强度比。 动态聚焦控制器还可以根据每个图像的像素强度比计算中值像素强度比,基于中值像素强度比确定焦距方向,基于中值像素强度比计算焦距, 是正的,并且在焦距方向为负时基于中值边界宽度来计算焦距。 自动对焦控制器然后可以向聚焦机构发送指令以通过焦距方向上的焦距调整图像捕捉设备。
    • 3. 发明申请
    • SYSTEM AND METHOD OF CLASSIFICATION OF BIOLOGICAL PARTICLES
    • 系统和分类生物颗粒的方法
    • WO2018039216A1
    • 2018-03-01
    • PCT/US2017/047993
    • 2017-08-22
    • IRIS INTERNATIONAL, INC.
    • RAMIREZ, CarlosCADAVID, StevenZHOU, Jindan
    • G06F19/00G06T7/00
    • A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.
    • 使用自动化的基于图像的特征提取和分类体系结构来分类生物样本中的细胞和粒子的方法和系统。 一种方法通过将掩模或一系列掩模应用于图像,基于彩色像素的内容和位置从图像的未掩盖部分提取特征,选择提取的特征的子集以及将提取的特征的子集映射 分类器体系结构。 在大多数情况下,第一级模型架构提供了细胞或颗粒的准确识别。 在少数情况下,细胞或颗粒的分类需要第二级步骤,要求使用第一级的数值或分类值以及第二级模型。
    • 4. 发明申请
    • PARTICLE ANALYSIS SYSTEMS AND METHODS
    • 粒子分析系统和方法
    • WO2017044290A1
    • 2017-03-16
    • PCT/US2016/047697
    • 2016-08-19
    • IRIS INTERNATIONAL, INC.
    • TINDEL, Jon F.YANG, Jun
    • G06F19/00G01N33/48
    • G06F19/326G06F19/00G06F19/32G16H15/00
    • In some embodiments, a method is provided for returning medical data comprising a test result from a particle analyzer including receiving a clinical data query in an initial format from an input object. After receiving the clinical data query, transforming the clinical data query into multiple different query types, each different query type having a different format from the initial format, each different query type for querying a different medical database or object graph in memory. Querying the medical databases using one of the query types based on the medical database. In response to the querying, receiving the data sets from the medical databases including the test result from the particle analyzer. Once data sets are received, output at least some information from the data sets.
    • 在一些实施例中,提供了一种用于返回包括来自粒子分析仪的测试结果的医学数据的方法,包括从输入对象接收初始格式的临床数据查询。 收到临床数据查询后,将临床数据查询转换为多种不同的查询类型,每种不同的查询类型与初始格式不同,每种不同的查询类型用于查询不同的医疗数据库或内存中的对象图。 使用基于医疗数据库的查询类型之一查询医疗数据库。 响应于查询,从医学数据库接收包含粒子分析仪测试结果的数据集。 一旦接收到数据集,就从数据集中输出至少一些信息。