CN1793919A - Automatic counting method of leucocyte number in blood microimage - Google Patents

Automatic counting method of leucocyte number in blood microimage Download PDF

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CN1793919A
CN1793919A CN 200510122247 CN200510122247A CN1793919A CN 1793919 A CN1793919 A CN 1793919A CN 200510122247 CN200510122247 CN 200510122247 CN 200510122247 A CN200510122247 A CN 200510122247A CN 1793919 A CN1793919 A CN 1793919A
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CN100392403C (en )
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孙杰
孙建芳
王传永
石明芳
袁跃辉
李恩邦
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天津理工大学
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A method for automat calling counting white blood cell number in blood microscopic image includes adjusting longitudinal position to use image information entropy maximum position as longitudinal position of image collection, controlling horizontal x and y directional movement by utilizing position regulation to drive interface for finalizing counts of white blood cell in stained blood cell carrier plate.

Description

一种对血液显微图像中白细胞个数自动计数方法 The method of automatically counting the number of white blood cells in blood microscopic image

【技术领域】:本发明涉及一种光电图像自动识别与统计方法应用技术领域,特别是一种对血液显微图像中白细胞个数自动计数方法。 TECHNICAL FIELD: The present invention relates to an automatic image recognition photoelectric Technical Field and statistical methods, particularly to a method for automatic counting the number of leukocytes in the blood microscopic image.

【背景技术】:光电图像识别是智能仪器研究的前沿内容,也是自动检测技术采用的重要手段,它涉及计算机软硬件技术、图像信息处理技术、机电一体化技术等多种新兴学科研究的关键内容。 BACKGROUND: Optical image recognition is a cutting-edge content of this intelligent instruments, but also an important means of technology used to automatically detect, it involves key elements of the emerging multi-disciplinary study of computer hardware and software technology, image processing information technology, mechatronics technology . 对血液显微图像中白细胞个数实现自动计数在减轻常规手工计数方法所带来的繁重劳动的同时还可以减少人为测量误差,是医学临床化验中急需解决的难题。 The number of leukocytes in blood to achieve microscopic image while reducing the conventional automatic counting method counted manually brought heavy labor may also reduce human error measurements, clinical laboratory medical problems need to be resolved.

【发明内容】:本发明的目的是解决目前对血液显微图像中白细胞个数手工计数所带来的繁重劳动和测量误差的问题,提供一种对血液显微图像中白细胞个数自动计数方法。 SUMMARY OF THE INVENTION: The purpose of the present invention is to solve the problems of the current microscopic image of blood leukocyte count the number of manually brought heavy labor and measurement errors, there is provided a microscopic image automatic blood counting the number of leukocytes .

本发明提供的一种对血液显微图像中白细胞个数自动计数方法,是通过如下步骤实现:——由计算机(8)控制的位置调节器驱动接口(6)将由计算机输出的数字脉冲控制信号经过放大后输入给纵向聚焦位置调节器(2)、水平X方向位置调节器(3)和水平Y方向位置调节器(4);——首先由图像采集接口(7)获得一幅由摄象机(5)摄取的生物显微镜光学成像部分(1)所成当前纵向位置处的图像并通过计算机(8)计算其信息熵,通过位置调节器驱动接口(6)控制纵向聚焦位置调节器(2)沿纵轴向上或向下移动一个纵向步进步长后,再采集一幅图像并计算其信息熵,选择两幅图像信息熵值最大的图像采集位置的方向前进一个纵向步进步长再进行图像的采集与信息熵判断,重复上述过程直到找到图像信息熵最大值位置为止,以图像信息熵最大位置为图像采集的理想纵向位置;——通 The present invention provides one kind of microscopic image automatic blood counting the number of leukocytes is accomplished by the following steps: - a computer (8) controlling the position of the adjusting drive (6) by a computer interface to a digital pulse control output signal after amplification inputted to the focus position of the longitudinal adjuster (2), the horizontal X-direction position regulator (3) and a horizontal Y-direction position adjusting device (4); - first (7) obtained by the image acquisition by the image pickup an Interface (5) uptake microscope optical imaging part (1) to the current image at a longitudinal position and calculates its entropy by a computer (8), driven by the position controller interface (6) to control the longitudinal focus position adjuster (2 ) longitudinally down one step after step size, and then collect an image and calculating the entropy, the direction selecting two largest entropy of the image information acquisition position of the image of a longitudinal step forward progress further along the longitudinal length or direction acquisition and image information entropy determination, the process is repeated until you find the position of the maximum entropy image information, the image information of the position of the maximum entropy longitudinal position over the image capture; - Tong 图像采集接口(7)采集一幅由摄像机(5)摄取的图像到计算机(8),由相应的图像分析软件完成对显微视野内血液白细胞进行计数;——然后,通过位置调节器驱动接口(6)控制水平X方向位置调节器(3)使染色血液细胞载片向X轴正方向前进一个水平步进步长,对新位置血液白细胞计数,直到所需要分析区域的X方向水平边界为止;——在边界处通过位置调节器驱动接口(6)控制水平Y方向位置调节器(4)向使染色血液细胞载片Y轴正方向前进一个水平步进步长,在当前新的Y位置沿X的反方向步进地对血液白细胞进行计数到X轴反方向边界;——重复Y方向步进、X方向步进直到扫描完所需要分析的所有水平面位置,即外周血染色片上对应的判读区域为止;——以上各步计数总和即为所需要分析的染色血液细胞载片上的白细胞个数。 Image acquisition interface (7) picked up by the camera a collection (5) images to the computer (8), performed by image analysis software corresponding to the white blood cell counting microscopic fields; - Then, the position regulator drive interface (6) controls the horizontal X direction, the position regulator (3) that the staining of blood cells slide forward one horizontal step step size in the positive direction of the X axis, the new position of the white blood cell count, until the desired analyzed until the X direction of the horizontal area of ​​the border; - (6) controls the horizontal Y-direction position adjusting device (4) a horizontal step proceeds to the step size of blood cells so stained positive Y-axis direction slide position of the actuator driver by an interface at a boundary along the X-Y position in the new current reverse direction in steps of white blood cell counts in the opposite direction to the boundary of the X-axis; - repeating step Y direction, X direction step until the horizontal scanning all positions need to be analyzed, i.e., the corresponding region on the peripheral blood staining photo interpretation Until; - the sum of the above step counting is the desired number of leukocytes stained slides analysis of blood cells needs.

计数前应对图象进行预处理:即对由摄象机(5)摄取的生物显微镜光学成像部分(1)所成的图象,在进行白细胞计数时首先利用公式将染色血液细胞的颜色从RGB(三基色)表色空间变换到HSI(国际标准CIE)表色空间,通过彩色分量S(色调)直方图滤波得到以白细胞色彩为特征的分割图,通过形态学滤波的方法消除噪声并使用数学形态学的腐蚀方法将白细胞图像收缩成一个点,通过统计最后的收缩的点数就得到白细胞个数。 Deal with the image before counting pretreatment: namely by the camera (5) uptake Microscope optical imaging part (1) into an image, when the white blood cell count is performed using the equation first color staining of blood cells from the RGB (three primary colors) color space conversion to the HSI (international standard CIE) color space table, (hue) to give white blood cell histogram color filter characterized by FIG divided color component S, eliminate noise by a method using the mathematical morphology filtering and the etching method of leukocyte morphological image contraction to a point, by counting the number of points the last contraction number of white blood cells is obtained.

本发明的优点和积极效果:本发明给出了一种对血液显微图像中白细胞个数自动计数方法,该方法不仅可以快速准确地对血液显微图像中白细胞个数进行自动统计计数,对于使用其他需要以图像为目标的图像分析与统计应用也适用。 The advantages and positive effects of the invention: The present invention presents a microscopic image automatic blood counting the number of leukocytes, the method can quickly and accurately blood leukocytes microscopic image automatically count the number of counts, for need to use other image analysis and statistical applications to image the target also apply. 本方法具有的测量速度快、测量精度高等优点,特别适用于自动化测量过程,可广泛地用于光学图像传感和测量以及与此相关的其他应用场合。 This method has the measurement speed, high precision measurement, particularly suitable for automated measurement process, can be widely used for optical measurements, and image sensing and other applications associated with this. 本发明采用现代自动控制、数据采集与分析方法实现的实用系统,具有分辨率高、抗干扰能力强、智能化程度高、操作方便等优点。 The present invention employs modern automatic utility system control, data collection and analysis methods implemented with a high resolution, anti-interference ability, high intelligence, easy operation. 同时本发明可进行准确、快速、自动地运行和显微图像的识别与测量,从而完成对血液显微图像中白细胞个数的测量。 While the invention allows for accurate, rapid, automatic identification and measurement operation and microscopic images, thereby completing the measurement of blood leukocytes number of microscopic image.

【附图说明】:图1是血液显微图像中白细胞个数自动计数系统结构框图;图2是染色血液细胞载片扫描移动方向示意图;图3是图像平面上选取的信息熵计算参考点示意图;图4是染色的外周血液细胞图像;图5是一幅二值图像,即通过彩色分量S(色调)直方图滤波得到的以白细胞色彩为特征的分割图;图6是通过形态学滤波的方法消除噪声并使用数学形态学的腐蚀方法将白细胞图像收缩成一个点的参考图像。 BRIEF DESCRIPTION OF DRAWINGS: FIG. 1 is a block diagram of an automatic counting system, the number of leukocytes in the blood microscopic image; FIG. 2 is a schematic view of the scanning movement direction of the slides stained blood cells; FIG. 3 is selected on the image plane is calculated with reference to a schematic view of information entropy point ; FIG. 4 is a stained image of peripheral blood cell; FIG. 5 is a binary image, characterized by leukocyte color segmentation map that is obtained by filtering the color component of S (hue) histogram; FIG. 6 is a morphological filtering the method of removing noise, using an etching method of mathematical morphology image contraction leukocytes into the reference image of a point.

【具体实施例】:实施例1如图1所示,本发明通过以下技术及计算方法实现。 DETAILED EXAMPLES: Example 1 shown in FIG embodiment, the present invention is achieved by the following techniques and calculation method. 实现血液显微图像中白细胞个数自动计数开始时,先由图像采集接口(7)获得一个显微镜当前观测位置处的血液细胞图像并计算图像信息熵,通过位置调节器驱动接口(6)控制纵向聚焦位置调节器(2)沿纵轴向上或向下移动一个纵向步进步长后再采集一幅图像并计算图像信息熵,选择两幅图像信息熵最大值对应位置的方向前进一个纵向步进步长再判断所在位置图像信息熵的大小,直到找到图像信息熵最大位置为止,以图像信息熵最大位置为理想聚焦位置,其依据是Burg于1967年提出的最大熵理论。 Implemented at the start of the blood microscopic image, first image acquisition interface (7) to obtain white blood cell count of the number of automatic blood cell image at a microscope and calculates the current viewing position information entropy, through the drive interface position regulator (6) to control the longitudinal focus position regulator (2) moves up or down along the longitudinal length of a longitudinal step progress after an image acquisition and image entropy computing, selecting a maximum value corresponding to the position information of the two images entropy longitudinal direction of a step forward progress long then determine the size of the image location information entropy, until you find the image information entropy up to the maximum position to the maximum position of the image information entropy is the ideal focal position, which is based on maximum entropy theory Burg proposed in 1967.

图像信息熵的计算式为:H(I)=-Σi=1NP(Ii)ln[P(Ii)]----(a)]]>式中:H(I)为图像信息熵,I={I1,I2,I3,…}为某一图像的灰度像素序列,P(Ii)为图像中灰度值为Ii的像素在图像中出现的几率。 Image entropy calculation formula is: H (I) = - & Sigma; i = 1NP (Ii) ln [P (Ii)] ---- (a)]]> Where: H (I) is the entropy of the image information , I = {I1, I2, I3, ...} is a sequence of gray scale pixel image, P (Ii) the probability of the image gray value pixel Ii appearing in the image.

在图像得到较好的聚焦后,通过图像采集接口(7)采集由CCD摄象机(5)摄取的图像到计算机(8)中,由相应的图像分析软件完成对显微视野内血液白细胞进行计数。 After focusing the image obtained is preferably collected by a CCD camera (5) images picked up by the image acquisition interface (7) to a computer (8), performed by the corresponding image analysis software within the microscopic field of blood leukocytes count. 由于染色血液细胞是彩色的,单纯地使用图像灰度I对图像分析有一定困难,所以使用图像色彩的色调H和颜色饱和度S作为彩色图像目标识别的判别参量。 Since blood cells are stained in color, gray scale image I simply using the image analysis will be difficult, so that a color image using the color hue H and the saturation parameter S is determined as a color image object recognition. 计算机中图像一般采用RGB格式进行存储,采用HSI做识别判定运算时需要对相应数值做变换,变换公式为:h=cos-1{12[(rg)+(rb)][(rg)2+(rb)(gb)]1/2}]]>s=1-3r+g+b(r,g,b)]]]>i=r+g+b3]]>(b)式中r、g、b代表某像素在RGB色彩描述系统中的颜色值,h、s、i为同一像素在HSI系统中的颜色值。 Computer image RGB format commonly used for storage, using HSI conversion needs to be done to make the identification determination of the corresponding value when calculating converted formula: h = cos-1 {12 [(rg) + (rb)] [(rg) 2+ (rb) (gb)] 1/2}]]> s = 1-3r + g + b (r, g, b)]]]> i = r + g + b3]]> (b) where r , g, b representative of a pixel color values ​​in the RGB color system is described, h, s, i for the same pixel color values ​​in the HSI system.

在完成一幅显微图像分析统计后,通过图像采集接口(7)控制水平X方向位置调节器(3)前进一个水平步进步长,对新位置血液图像累计进行白细胞计数,直到所需要分析区域的X方向水平边界为止,在边界处通过图像采集接口(7)控制水平Y方向位置调节器(4)前进一个水平步进步长并进行视野内白血球的计数,在当前新的Y位置沿X的反方向步进地对血液白细胞进行计数,直到完成所需要分析的所有水平面位置的白血球计数,即外周血染色片上对应的判读区域计数为止。 After completion of a statistical analysis of microscopic images, the image acquisition interface (7) to control the horizontal X direction, the position regulator (3) advancing a length of horizontal advancement step, the new position of the accumulated image blood leukocyte counts, until the desired analysis region the boundary is reached, through the image acquisition interface at the boundary (7) to control the horizontal Y-direction position adjusting device (4) forward horizontal X-direction a horizontal step step size and the white blood cells within the visual field count, in the X in this new Y position reverse direction stepwise blood leukocyte counts, until needed to complete the analysis of white blood cell count of all the horizontal position, i.e. corresponding to the area of ​​peripheral blood counts stained slides interpretation. 图像扫描模式见附图2本方法使用的生物显微镜结构与医学临床使用的常规生物显微镜结构基本一样,只是在显微成像光路中增加了一个光学分束棱镜和一个连接在显微镜三维调整轴上的步进电机传动结构。 See Fig image scanning mode of the method used in the conventional structure and biological microscope biological microscope structures used in medical clinical substantially the same, but the addition of a splitting prism in optical microscopic imaging optical path and a microscope connected to a three-dimensional adjustment shaft stepper motor drive structure. 在显微镜基本结构模块中,显微镜光学成像系统有一个光学分束棱镜将血液细胞图像分别成像到人眼观测的目镜位置和CCD摄像机(5)摄取图像的位置。 The basic structure of the module in the microscope, the microscope imaging optical system with an optical beam splitter prism blood cell images are imaged onto human eye observation and CCD camera eyepiece position (5) of the image pickup positions. 保留人眼观测目镜的目的是便于工作过程的人工监视和设备的校准。 Reserved object is the human eye observation eyepiece manual monitoring and calibration equipment to facilitate the working process. 图像自动采集模块完成显微图像的光学图像到计算机数字图像的自动实现。 Automatic image capture module to complete an optical microscopic image of the image to the computer digital image automatically. 显微镜观测位置调整模块实现显微镜放大镜头的高低位置调整和染色血液载片的二维水平位置调整,从而实现观测位置的三维调整。 Microscopic observation position adjustment module implements a two-dimensional microscope magnifying lens horizontal position adjustment and adjustment of the height position of the stained blood slides, thereby to adjust the three-dimensional observation position. 在三维调整驱动中,纵向位置的调整采用电机传动轴上连接的齿轮进行的大行程位移驱动和由电致驱动的微小位移驱动两部分组成;横向的两个方向的位移采用的只是电机传动轴上连接的齿轮进行的大行程位移驱动。 In the three-dimensional adjustment drive to adjust the longitudinal position of use and a large stroke driven by a displacement of the electroluminescent minute displacement drive gear connected to the motor shaft for driving of two parts; the lateral displacement in both directions using only the motor shaft large stroke displacement gear connected to be driven. 摄像机将采集到的图像以工业视频的标准格式输入到图像采集卡。 The camera will capture the image input to the image acquisition card in a standard format of the video industry. 图像采集卡在接受到位移调整完成后的电信号触发来进行图像的采集工作,而计算机对三维位移的驱动通过通用串口实现。 Image acquisition card receives the electrical signal triggered by the completion of the displacement adjusting operation of the image acquisition, and a computer driven three-dimensional displacement achieved by the common serial port pair.

如图3所示,设某幅染色血液显微图像在垂直聚焦自动判读时,在图像面上选取了二十五个像素点作为信息熵计算参考点(在实际中可以选择更多个参考像素点或者是采集的数字图像全部像素点作为信息熵计算对象),各点的序号如图3所示,图中数字为信息熵计算参考点的顺序号。 3, is provided a web of blood stained microscopic image focus in vertical automatic interpretation, in the image plane selected twenty-five pixels calculated entropy as a reference point (in practice more reference pixels may be selected all digital image point or pixel is acquired as the information entropy calculation target), the serial number of the points shown in FIG. 3, FIG digital computing the reference point for the sequence number information entropy.

在信息熵最大点附近,也就是聚焦点附近的三个垂直调焦位置上对应的图像灰度对应为下表1:表1 三个垂直调焦平面上图像灰度 Gray scale image corresponding to the focus position vertically on three points in the vicinity of the maximum entropy, i.e. near the focal point corresponding to the following table 1: Table 1 on the plane image gray three vertical focusing

平面1 平面2 平面3表格中相应的数字为图3对应点上的图像灰度值。 1 flat plane in FIG. 2 is a digital image corresponding to the gradation value 3 corresponding points on the plane of the table 3.

对应的图像信息熵计算结果如表2由表2可知,平面2的信息熵最大,该平面为聚焦平面。 Image information corresponding entropy calculation results shown in Table 2 can be seen from Table 2, the maximum entropy plane 2, the plane is a focal plane.

表2 三个垂直调焦平面上图像信息熵计算平面1 平面2 平面3 Table 2 focus on the three vertical planar image entropy computing information plane 1 plane 2 plane 3

对如图4所示染色的外周血液细胞图像,在进行白细胞计数时首先利用公式(b)将染色血液细胞的颜色从RGB(三基色)表色空间变换到HSI(国际标准CIE)表色空间,通过彩色分量S(色调)直方图滤波得到以白细胞色彩为特征的分割图,如图5,这是一幅二值图像,可以通过形态学滤波的方法消除噪声并使用数学形态学的腐蚀方法将白细胞图像收缩成一个点,如图6。 Images of stained peripheral blood cells, white blood cell count during first use shown in Equation (b) in FIG. 4 color staining of blood cells from the RGB (three primary colors) color space conversion to the HSI (international standard CIE) color space table , color components obtained by S (hue) color histogram filtering leukocytes characterized by segmentation map, FIG. 5, which is a binary image, the noise can be eliminated by using morphological filtering and etching mathematical morphology leukocytes image contraction to a point, as shown in FIG 6. 通过统计最后的收缩的点数就得到白细胞个数。 By last count contraction points to get the number of white blood cells.

Claims (2)

  1. 1.一种对血液显微图像中白细胞个数自动计数方法,其特征是该方法通过如下步骤实现:——由计算机(8)控制的位置调节器驱动接口(6)将由计算机输出的数字脉冲控制信号经过放大后输入给纵向聚焦位置调节器(2)、水平X方向位置调节器(3)和水平Y方向位置调节器(4);——首先由图像采集接口(7)获得一幅由摄象机(5)摄取的生物显微镜光学成像部分(1)所成当前纵向位置处的图像并通过计算机(8)计算其信息熵,通过位置调节器驱动接口(6)控制纵向聚焦位置调节器(2)沿纵轴向上或向下移动一个纵向步进步长后,再采集一幅图像并计算其信息熵,选择两幅图像信息熵值最大的图像采集位置的方向前进一个纵向步进步长再进行图像的采集与信息熵判断,重复上述过程直到找到图像信息熵最大值位置为止,以图像信息熵最大位置为图像采集的理想纵向位置;——通 A microscopic image automatic blood counting the number of leukocytes, characterized in that the method implemented by the following steps: - controlled by a computer (8) position of the actuator drive (6) by a digital pulse output interface computer after amplification control signal input to the longitudinal position of the focus regulator (2), the horizontal X-direction position regulator (3) and a horizontal Y-direction position adjusting device (4); - first (7) obtained by the image acquisition interface of a camera (5) uptake microscope optical imaging part (1) of the image at the current position to the longitudinal and entropy calculated by a computer (8), driven by the interface position regulator (6) to control the longitudinal position of the focus regulator (2) moves up or down along the longitudinal axis after the step advances a longitudinal length, then capture an image and calculating the entropy, the direction selecting two largest entropy of the image information acquisition position of the image of a longitudinal proceeds step step size collecting and Analyzing information entropy image then the process is repeated until you find the position of the maximum entropy image information, the image information of the position of the maximum entropy longitudinal position over the image capture; - Tong 过图像采集接口(7)采集一幅由摄像机(5)摄取的图像到计算机(8),由相应的图像分析软件完成对显微视野内血液白细胞进行计数;——然后,通过位置调节器驱动接口(6)控制水平X方向位置调节器(3)使染色血液细胞载片向X轴正方向前进一个水平步进步长,对新位置血液白细胞计数,直到所需要分析区域的X方向水平边界为止;——在边界处通过位置调节器驱动接口(6)控制水平Y方向位置调节器(4)向使染色血液细胞载片Y轴正方向前进一个水平步进步长,在当前新的Y位置沿X的反方向步进地对血液白细胞进行计数到X轴反方向边界;——重复Y方向步进、X方向步进直到扫描完所需要分析的所有水平面位置,即外周血染色片上对应的判读区域为止;——以上各步计数总和即为所需要分析的染色血液细胞载片上的白细胞个数。 Through the image acquisition interface (7) picked up by the camera a collection (5) images to the computer (8), performed by image analysis software corresponding to the white blood cell counting microscopic fields; - then, driven by the position controller Interface (6) controls the horizontal X direction, the position regulator (3) that the staining of blood cells slide forward one horizontal step step size in the positive direction of the X axis, the new position of the white blood cell count, until the desired analyzed until the X direction of the horizontal area of ​​the boundary ; - (6) controls the horizontal Y-direction position adjusting device (4) a horizontal step proceeds to the step size so that positive staining of blood cells by the Y-axis direction slide position of the actuator driver interface boundary, along the new Y position in the current interpretation step is repeated in the Y direction, X direction step until the horizontal scanning all positions need to be analyzed, i.e., corresponding to the peripheral blood staining sheet -; X in the reverse direction in steps of white blood cell counts to the X-axis direction boundary trans the sum of the number of leukocytes in the above steps need to be analyzed is the desired count of blood cells stained slides -; up area.
  2. 2.根据权利要求1所述的白细胞个数自动计数方法,其特征是计数前对图象进行预处理:即对由摄象机(5)摄取的生物显微镜光学成像部分(1)所成的图象,在进行白细胞计数时首先利用公式将染色血液细胞的颜色从RGB即三基色表色空间变换到HIS即国际标准CIE表色空间,通过彩色分量S(色调)直方图滤波得到以白细胞色彩为特征的分割图,通过形态学滤波的方法消除噪声并使用数学形态学的腐蚀方法将白细胞图像收缩成一个点,通过统计最后的收缩的点数就得到白细胞个数。 The number of white blood cell automatic counting method according to claim 1, wherein the image pretreatment before counting: namely by the camera (5) uptake Microscope optical imaging part (1) formed by image, using the first equation when performing color stained white blood cell count of blood cells from the three primary colors RGB i.e. to the HIS color space conversion table i.e. the CIE color space international standard, in order to obtain a color component by color leukocytes S (hue) histogram filter FIG characterized as a division, eliminated by the method and morphological filtering noise using the etching method of mathematical morphology leukocytes image contraction to a point, by counting the number of points the last contraction number of white blood cells is obtained.
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CN101821599B (en) 2007-10-09 2011-10-19 诺维茨公司 Automated cell density adjustment method for producing analysis plate
US9017610B2 (en) 2008-04-25 2015-04-28 Roche Diagnostics Hematology, Inc. Method of determining a complete blood count and a white blood cell differential count
US10094764B2 (en) 2008-04-25 2018-10-09 Roche Diagnostics Hematology, Inc. Systems and methods for determining a complete blood count and a white blood cell differential count
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US10068126B2 (en) 2011-01-18 2018-09-04 Roche Diagnostics Hematology, Inc. Microscope slide coordinate system registration
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