阅读说明：本技术 一种血液分析仪及分析方法 (Blood analyzer and analysis method ) 是由 叶波 祁欢 郑文波 叶燚 于 2019-04-26 设计创作，主要内容包括：一种血液分析仪及其血液分析方法,血液分析仪包括试样制备部件、流动室(22c)、测定部件(22)和数据处理器(25),该方法采用白细胞测量通道,对被测血液样本溶血和荧光染色后进行检测,利用血影区域的数据识别网织红粒子,从而使得不需要在血液分析仪中单独设计一个光学检测通道即可实现网织红细胞和大血小板的区分以及网织红细胞的更精细分类和计数,同时还公开了一种计算机可读存储介质,该介质中存储有程序,该程序能够被数据处理器执行以实现该方法。(A blood analyzer and a blood analyzing method thereof, the blood analyzer includes a sample preparation part, a flow cell (22c), a determination part (22) and a data processor (25), the method uses a white blood cell measurement channel to detect a blood sample to be measured after hemolysis and fluorescence staining, and uses data of a blood shadow region to identify reticulocyte particles, thereby enabling differentiation of reticulocytes and large platelets and finer classification and counting of reticulocytes to be achieved without separately designing an optical detection channel in the blood analyzer, and a computer-readable storage medium having a program stored therein, the program being executable by the data processor to implement the method.)

A blood analyzer characterized by comprising:

the test sample preparation component is used for preparing a test sample and at least comprises a reaction cell which is used for providing a mixed incubation place for a tested blood sample, a fluorescent staining agent and a hemolytic agent, wherein the mixed incubation enables red blood cells in the tested blood sample to be lysed, and enables cell particles in the sample to be stained;

a flow cell for providing an area for the cell particles in the sample to pass through and receive light;

a measuring unit including a light source for emitting a light beam for irradiating the flow cell, and a light detecting device for receiving scattered light and fluorescence of the cell particles under the light irradiation and outputting scattered light information and fluorescence information, the scattered light signal including at least first angle scattered light information reflecting volume size information of the cell particles;

and the data processor is used for identifying the reticulocyte according to the first angle scattering light information and the fluorescence information of the cell particles.

The blood analyzer of claim 1, wherein the data processor generates a scattergram from at least first angle scattered light information and fluorescence information of the cell particles, and identifies particles in a first region in the scattergram as reticulocyte particles, the first region being a region in the blood shadow region where the intensity of the fluorescence signal is greater and the intensity of the first angle scattered light signal is less.

The blood analyzer of claim 1 or 2, wherein the data processor further obtains reticulum information based on the identified reticulum particles.

The blood analyzer of claim 3, wherein the reticulocyte information includes at least one of reticulocyte marker information, reticulocyte count information, high-fluorescence reticulocyte count information, medium-fluorescence reticulocyte count information, low-fluorescence reticulocyte count information, immature reticulocyte count information, and a nucleic acid substance content of reticulocytes.

The blood analyzer of claim 4, wherein the data processor acquires high fluorescence reticulocyte count information, medium fluorescence reticulocyte count information, and low fluorescence reticulocyte count information from the fluorescence signal intensity distribution of the reticulocyte.

The blood analyzer of claim 4, wherein the data processor obtains the nucleic acid substance content by accumulating the intensities of the fluorescence signals of the reticulocyte.

A blood analyser as claimed in any one of claims 3 to 6 wherein the data processor also alerts on the basis of at least the reticulum information.

The blood analyzer of any of claims 1-7, wherein the data processor further identifies large platelets based on the first angle scattered light information and the fluorescence information of the cellular particles.

The blood analyzer of claim 8, wherein the data processor generates a scattergram from the first angle scattered light information and the fluorescence information of the cell particles, and identifies the particles in a second region in the scattergram as large platelets, the second region being a region in the shadowy area where the intensity of the fluorescence signal is small and the intensity of the first angle scattered light signal is large.

A blood analyzer in accordance with claim 8 or 9, wherein the data processor further obtains large platelet information from the identified large platelets.

The blood analyzer of claim 10, wherein the large platelet information includes at least one of a volume size of the large platelets, a volume distribution of the large platelets, and count information of the large platelets.

The blood analyzer of claim 11, wherein the data processor calculates the volume of the large platelets based at least on the first angle scattered light information for the large platelets.

The blood analyzer of claim 11, wherein the data processor further performs an alarm based on the information on the count of large platelets.

The blood analyzer of claim 1, wherein the data processor further performs white blood cell classification and/or counting based on scattered light information and fluorescence information of the cell particles.

The blood analyzer of claim 14, wherein the data processor determines a ghost area based on the white blood cell distribution area.

A blood analysis method characterized by comprising:

staining the blood sample to be detected by adopting a fluorescent staining agent, and performing hemolytic reaction on the blood sample to be detected by adopting a hemolytic agent so as to prepare a sample for determination;

passing the cell particles in the sample through the flow cell one by one and receiving illumination;

receiving scattered light and fluorescence of cell particles under light irradiation, and outputting scattered light information and fluorescence information, wherein the scattered light information at least comprises first angle scattered light information which is used for reflecting the volume size information of the cell particles;

the reticulocyte is identified based on the first angle scattered light information and the fluorescence information of the cell particle.

The method of claim 16, wherein identifying reticulocyte information based on the first angle scattered light information and the fluorescence information of the cellular particle comprises: a scatter diagram is generated from first angle scattered light information and fluorescence information of the cell particles, and the particles in a first region in the scatter diagram, which is a region in which the fluorescence signal intensity is high and the first angle scattered light signal intensity is low, are identified as reticulocyte particles.

The method of claim 16 or 17, further comprising: and acquiring the reticulocyte information according to the identified reticulocyte.

The method of claim 18, wherein the reticulocyte information includes at least one of reticulocyte marker information, reticulocyte count information, high-fluorescence reticulocyte count information, medium-fluorescence reticulocyte count information, low-fluorescence reticulocyte count information, immature reticulocyte count information, and a nucleic acid species content of reticulocytes.

The method of claim 19, wherein the high fluorescence reticulocyte count information, the medium fluorescence reticulocyte count information, and the low fluorescence reticulocyte count information are obtained from a fluorescence signal intensity distribution of the reticulocyte.

The method of claim 19, wherein the nucleic acid substance content is obtained by adding the intensities of fluorescence signals of the reticulocyte.

The method of any one of claims 16-21, further characterized by alerting based at least on the reticule red information.

The method of any one of claims 18-22, further comprising identifying large platelets based on the first angle scattered light information and the fluorescence information of the cell particles.

The method of claim 23, wherein identifying large platelets from first angle scattered light information and fluorescence information of cellular particles comprises: a scatter diagram is generated from the first angle scattered light information and the fluorescence information of the cell particles, and the particles in a second region in the scatter diagram, which is a region in which the fluorescence signal intensity is small and the first angle scattered light signal intensity is large in the blood shadow region, are identified as large platelets.

A method according to claim 23 or 24, further comprising obtaining large platelet information from the identified large platelets.

The method of claim 25, wherein the large platelet information includes at least one of a volume size of the large platelets, a volume distribution of the large platelets, and count information of the large platelets.

The method of claim 26, wherein the volume of the large platelet is calculated based at least on the first angle scattered light information for the large platelet.

The method of claim 26, wherein the alarm is based on information on the count of large platelets.

The method of claim 16, further comprising classifying and/or counting leukocytes based on scattered light information and fluorescence information of the cellular particles.

The method of claim 29, further comprising determining a ghost region based on the white blood cell distribution region.

A method for analyzing a sample generated by fluorescence staining and hemolysis of a blood sample to be tested, the method comprising:

acquiring data representing first angle scattered light information and fluorescence information of cell particles, wherein the first angle scattered light information and the fluorescence information are generated based on first angle scattered light and fluorescence generated when the cell particles in a sample pass through a flow chamber one by one and are irradiated with light, and the first angle scattered light information is used for reflecting volume size information of the cell particles;

and acquiring the network reducibility information according to the data.

The method of claim 31, wherein obtaining the reticule information from the data comprises:

generating a scatter diagram according to the first angle scattering light information and the fluorescence information of the cell particles; and acquiring particle information in a first area in the scatter diagram, and representing the reticulocyte information in the blood by the particle information in the first area, wherein the first area is an area with higher fluorescence signal intensity and lower first angle scattered light signal intensity in a blood shadow area.

The method of claim 31, further comprising obtaining large platelet information from the first angle scattered light information and the fluorescence information of the cell particle.

The method of claim 33, comprising obtaining large platelet information from the first angle scattered light information and the fluorescence information of the cell particles comprises: and acquiring particle information in a second area in the scatter diagram of the first angle scattering light information and the fluorescence information, and representing the large platelet information in the blood by the particle information in the second area, wherein the second area is an area with smaller fluorescence signals and larger first angle scattering light signals in a blood shadow area.

The method of claim 31, further comprising classifying and/or counting leukocytes based on scattered light information and fluorescence information of the cellular particles.

A computer-readable storage medium, comprising a program executable by a data processor to implement the method of any of claims 31-35.

A blood analyzer, characterized by comprising:

a memory for storing a program;

a data processor for implementing the method of any one of claims 31-35 by executing a program stored by the memory.