Particle detection method and blood analyzer

Abstract

The embodiment of the invention discloses a particle detection method and a blood analyzer, the method comprises: mixing at least a part of a blood sample with a reagent to obtain a to-be-detected sample liquid, the reagent at least comprising a diluent and a fluorescent dye liquid; enabling the cell particles in the to-be-detected sample liquid to pass through the detection area one by one, and irradiating the cell particles passing through the detection area with light to obtain a forward scattering light signal, a lateral scattering light signal and a fluorescence signal generated after the cell particles are irradiated with the light; identifying a platelet particle swarm according to the forward scattered light signal and the fluorescence signal of the cell particles in the to-be-detected sample liquid; identifying an erythrocyte interference group according to the forward scattered light signal and the lateral scattered light signal of the cell particles in the platelet particle swarm; and determining the platelet count of the to-be-detected sample liquid according to the platelet particle swarm and the red blood cell interference group.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to a particle detection method and a blood analyzer. Background Art

[0002] Platelets are small pieces of cytoplasm detached from the cytoplasm of mature megakaryocytes in the bone marrow. They are small in size, have no cell nucleus, and have an irregular shape, with a diameter of 2-3 micrometers. In the blood of normal people, there are 100,000 to 300,000 platelets per cubic millimeter. They play an important role in physiological and pathological processes such as hemostasis, wound healing, inflammatory response, thrombosis, and organ transplant rejection. Too many or too few platelets can cause serious harm to the human body. Therefore, in a blood routine examination, platelet count is an important parameter reflecting whether the platelets in the human body are normal, and its accurate counting is very important for timely detecting patients with abnormal platelets.

[0003] Currently, in patients with certain special hemolytic diseases, such as leukemia, some red blood cells will mix into the platelets, and the platelet count is interfered by the red blood cells, resulting in a falsely high platelet measurement result and a low accuracy of platelet count. Summary of the Invention

[0004] To solve the existing technical problems, the embodiments of the present application are expected to provide a particle detection method and a blood analyzer, which use the forward scatter light signal and the side scatter light signal of cell particles to identify red blood cells mixed with platelets, thereby removing the interference of red blood cells on platelet count and improving the accuracy of platelet count.

[0005] To achieve the above object, the technical solution of the embodiments of the present application is realized as follows:

[0006] The embodiments of the present application provide a particle detection method, including:

[0007] Mixing at least part of a blood sample with a reagent to obtain a sample solution to be detected, where the reagent at least includes a diluent and a fluorescent dye solution;

[0008] Making the cell particles in the sample solution to be detected pass through the detection area one by one, and irradiating the cell particles passing through the detection area with light to obtain the forward scatter light signal, side scatter light signal, and fluorescent signal generated by the cell particles after being irradiated with light;

[0009] Identifying a platelet particle group according to the forward scatter light signal and fluorescent signal of the cell particles in the sample solution to be detected;

[0010] Identifying a red blood cell interference cluster according to the forward scatter light signal and side scatter light signal of the cell particles in the platelet particle group;

[0011] Determine the platelet count of the sample liquid to be measured according to the platelet particle group and the red blood cell interference group.

[0012] In the above method, the identifying the platelet particle group according to the forward scatter light signal and the fluorescence signal of the cell particles in the sample liquid to be measured includes:

[0013] Generate a first scatter plot according to the forward scatter light signal and the fluorescence signal of each cell particle in the sample liquid to be measured;

[0014] Identify the platelet area from the first scatter plot, and determine the particle group formed by the cell particles falling into the platelet area as the platelet particle group.

[0015] In the above method, the identifying the red blood cell interference group according to the forward scatter light signal and the side scatter light signal of the cell particles in the platelet particle group includes:

[0016] Generate a second scatter plot according to the forward scatter light signal and the side scatter light signal of the cell particles in the platelet particle group;

[0017] Identify the red blood cell interference area from the second scatter plot, and determine the particle group formed by the cell particles falling into the red blood cell interference area as the red blood cell interference group.

[0018] In the above method, in the second scatter plot, the red blood cell interference group is located on the side where the side scatter light signal of the cell particles in other particle groups increases.

[0019] In the above method, the determining the platelet count of the sample liquid to be measured according to the platelet particle group and the red blood cell interference group includes:

[0020] Count the cell particles in the platelet particle group that are not included in the red blood cell interference group to obtain the platelet count of the sample liquid to be measured.

[0021] In the above method, it further includes:

[0022] Identify the mature red blood cell particle group and / or the reticulocyte particle group according to the forward scatter light signal and the fluorescence signal of the cell particles in the sample liquid to be measured.

[0023] An embodiment of the present application provides a hematology analyzer, including:

[0024] A sampling device having a sampling needle for sucking a blood sample;

[0025] A sample preparation device, having a reaction cell and a reagent supply unit, wherein the reaction cell is used to receive at least part of the blood sample aspirated by the sampling device, and the reagent supply unit is used to supply reagents to the reaction cell, so that at least part of the blood sample is mixed with the reagents in the reaction cell to prepare a sample solution to be tested. Among them, the reagents at least include a diluent and a fluorescent dye solution;

[0026] An optical detection device, having a light source, a flow cell, a scattered light detector and a fluorescence detector. The light source is used to emit a light beam to irradiate the detection area of the flow cell. The flow cell is communicated with the reaction cell, so that the cell particles in the sample solution to be tested in the reaction cell can pass through the detection area one by one. The scattered light detector is used to detect the forward scattered light signal and the side scattered light signal generated by the cell particles passing through the detection area after being irradiated by light, and the fluorescence detector is used to detect the fluorescence signal generated by the cell particles passing through the detection area after being irradiated by light;

[0027] A data processing device, communicatively connected to the optical detection device and configured to:

[0028] Obtain the forward scattered light signal, side scattered light signal and fluorescence signal of the cell particles in the sample solution to be tested from the optical detection device;

[0029] Identify a platelet particle group according to the forward scattered light signal and fluorescence signal of the cell particles in the sample solution to be tested;

[0030] Identify an erythrocyte interference cluster according to the forward scattered light signal and side scattered light signal of the cell particles in the platelet particle group;

[0031] Determine the platelet count of the sample solution to be tested according to the platelet particle group and the erythrocyte interference cluster.

[0032] In the above blood analyzer, the data processing device is further configured to: generate a first scatter plot according to the forward scattered light signal and fluorescence signal of the cell particles in the sample solution to be tested; identify a platelet area from the first scatter plot, and determine the particle group formed by the cell particles falling into the platelet area as the platelet particle group.

[0033] In the above blood analyzer, the data processing device is further configured to: generate a second scatter plot according to the forward scattered light signal and side scattered light signal of the cell particles in the platelet particle group; identify the erythrocyte interference area from the second scatter plot, and determine the particle cluster formed by the cell particles falling into the erythrocyte interference area as the erythrocyte interference cluster.

[0034] In the above blood analyzer, in the second scatter plot, the red blood cell interference cluster is located on the side where the lateral scatter light signal of the cellular particles in other particle clusters increases.

[0035] In the above blood analyzer, the data processing device is further configured to: count the cellular particles in the platelet particle group that are not included in the red blood cell interference cluster to obtain the platelet count of the sample liquid to be tested.

[0036] In the above blood analyzer, the data processing device is further configured to: identify the mature red blood cell particle group and / or the reticulocyte particle group according to the forward scatter light signal and the fluorescence signal of the cellular particles in the sample liquid to be tested.

[0037] The embodiments of the present application provide a particle detection method and a blood analyzer. The method includes: mixing at least part of a blood sample with a reagent to obtain a sample liquid to be tested, where the reagent at least includes a diluent and a fluorescent dye solution; making the cellular particles in the sample liquid to be tested pass through a detection area one by one, and irradiating the cellular particles passing through the detection area with light to obtain the forward scatter light signal, the lateral scatter light signal, and the fluorescence signal generated by the cellular particles after being irradiated with light; identifying the platelet particle group according to the forward scatter light signal and the fluorescence signal of the cellular particles in the sample liquid to be tested; identifying the red blood cell interference cluster according to the forward scatter light signal and the lateral scatter light signal of the cellular particles in the platelet particle group; and determining the platelet count of the sample liquid to be tested according to the platelet particle group and the red blood cell interference cluster. The technical solution provided by the embodiments of the present application uses the forward scatter light signal and the lateral scatter light signal of the cellular particles to identify the red blood cells mixed with the platelets, thereby removing the interference of the red blood cells on the platelet count and improving the accuracy of the platelet count. Description of the Drawings

[0038] Figure 1 It is a schematic structural diagram of a blood analyzer provided by an embodiment of the present application;

[0039] Figure 2 It is a schematic flowchart of a particle detection method provided by an embodiment of the present application;

[0040] Figure 3 It is an exemplary first scatter plot provided by an embodiment of the present application;

[0041] Figure 4 It is another exemplary first scatter plot provided by an embodiment of the present application;

[0042] Figure 5 It is an exemplary scatter plot to be selected provided by an embodiment of the present application;

[0043] Figure 6 It is an exemplary second scatter plot provided by an embodiment of the present application;

[0044] Figure 7 Another exemplary second scatter plot provided by an embodiment of the present application;

[0045] Figure 8 Yet another exemplary second scatter plot provided by an embodiment of the present application. Detailed implementation manners

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are some, but not all, of the embodiments of the present disclosure. The following embodiments are used to illustrate the present disclosure, but are not intended to limit the scope of the present disclosure. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0047] In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with each other without conflict.

[0048] It should be noted that the terms "first / second / third" involved in the embodiments of the present disclosure are only used to distinguish similar objects and do not represent a specific order for the objects. It can be understood that "first / second / third" can be interchanged with the preset order or sequence when allowed, so that the embodiments of the present disclosure described herein can be implemented in an order other than that illustrated or described herein.

[0049] An embodiment of the present application provides a particle detection method, which can be implemented by a blood analyzer. Figure 1 A schematic structural diagram of a blood analyzer provided by an embodiment of the present application. As Figure 1 shown, the blood analyzer mainly includes: a sampling device 10, a sample preparation device 20, an optical detection device 30, and a data processing device 40. In addition, the blood analyzer further has a liquid path system for connecting the sampling device, the sample preparation device, and the optical detection device to enable liquid transfer between these devices.

[0050] In an embodiment of the present application, the sampling device 10 has a sampling needle for sucking a blood sample;

[0051] The sample preparation device 20 has a reaction pool and a reagent supply unit. The reaction pool is used to receive at least part of the blood sample sucked by the sampling device 10, and the reagent supply unit is used to supply a reagent to the reaction pool, so that at least part of the blood sample is mixed with the reagent in the reaction pool to prepare a sample solution to be measured. Among them, the reagent at least includes a diluent and a fluorescent dye solution;

[0052] An optical detection device 30, having a light source, a flow cell, a scattered light detector, and a fluorescence detector. The light source is used to emit a light beam to irradiate a detection area of the flow cell. The flow cell is communicated with a reaction cell, so that cell particles in the sample liquid to be detected in the reaction cell can pass through the detection area one by one. The scattered light detector is used to detect a forward scattered light signal and a lateral scattered light signal generated after the cell particles passing through the detection area are irradiated by light. The fluorescence detector is used to detect a fluorescence signal generated after the cell particles passing through the detection area are irradiated by light;

[0053] A data processing device 40, communicatively connected to the optical detection device 30 and configured to:

[0054] Obtain the forward scattered light signal, the lateral scattered light signal, and the fluorescence signal of the cell particles in the sample liquid to be detected from the optical detection device 30;

[0055] Identify a platelet particle group according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected;

[0056] Identify an erythrocyte interference cluster according to the forward scattered light signal and the lateral scattered light signal of the cell particles in the platelet particle group;

[0057] Determine the platelet count of the sample liquid to be detected according to the platelet particle group and the erythrocyte interference cluster.

[0058] In an embodiment of the present application, the data processing device 40 is further configured to: generate a first scatter plot according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected; identify a platelet area from the first scatter plot, and determine a particle group formed by the cell particles falling into the platelet area as the platelet particle group.

[0059] In an embodiment of the present application, the data processing device 40 is further configured to: generate a second scatter plot according to the forward scattered light signal and the lateral scattered light signal of the cell particles in the platelet particle group; identify an erythrocyte interference area from the second scatter plot, and determine a particle cluster formed by the cell particles falling into the erythrocyte interference area as the erythrocyte interference cluster.

[0060] In an embodiment of the present application, in the second scatter plot, the erythrocyte interference cluster is located on the side where the lateral scattered light signal of the cell particles in other particle clusters increases.

[0061] In an embodiment of the present application, the data processing device 40 is further configured to: count the cell particles in the platelet particle group that are not included in the erythrocyte interference cluster to obtain the platelet count of the sample liquid to be detected.

[0062] In an embodiment of the present application, the data processing device 40 is further configured to: identify a mature red blood cell particle population and / or a reticulocyte particle population based on the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be tested.

[0063] The particle detection method provided by the embodiment of the present application is described in detail below based on the above blood analyzer.

[0064] Figure 2 It is a schematic flowchart of a particle detection method provided by an embodiment of the present application. As Figure 2 shown, in the embodiment of the present application, the particle detection method mainly includes the following steps:

[0065] S101. Mix at least part of the blood sample with a reagent to obtain a sample liquid to be tested, and the reagent includes at least a diluent and a fluorescent dye solution.

[0066] In the embodiment of the present application, the sampling device 10 has a sampling needle for sucking the blood sample. The sampling needle can suck the blood sample under drive and then transmit it to the sample preparation device 20. The sample preparation device 20 has a reaction tank and a reagent supply unit. The reaction tank is used to receive at least part of the blood sample sucked by the sampling device 10, and the reagent supply unit is used to supply the reagent to the reaction tank, so that at least part of the blood sample is mixed with the reagent in the reaction tank to prepare a sample liquid to be tested.

[0067] S102. Make the cell particles in the sample liquid to be tested pass through the detection area one by one, and irradiate the cell particles passing through the detection area with light to obtain the forward scattered light signal, the side scattered light signal, and the fluorescence signal generated by the cell particles after being irradiated by the light.

[0068] In the embodiment of the present application, the optical detection device 30 has a light source, a flow cell, a scattered light detector, and a fluorescence detector. The light source is used to emit a light beam to irradiate the detection area of the flow cell. The flow cell is communicated with the reaction tank, so that the cell particles in the sample liquid to be tested in the reaction tank can pass through the detection area one by one. The scattered light detector is used to detect the forward scattered light signal and the side scattered light signal generated by the cell particles passing through the detection area after being irradiated by the light, and the fluorescence detector is used to detect the fluorescence signal generated by the cell particles passing through the detection area after being irradiated by the light.

[0069] It should be noted that, in the embodiment of the present application, the scattered light detector may include a forward scattered light detector for detecting the forward scattered light signal and a side scattered light detector for detecting the side scattered light signal.

[0070] It should be noted that, in the embodiments of the present application, the flow cell is a chamber for focusing the liquid flow for detecting scattered light signals and fluorescence signals. When cell particles pass through the detection area of the flow cell, the cell particles scatter the incident light beam from the light source that is directed to the detection area in all directions. Scattered light detectors are arranged at one or more different angles relative to the incident light beam, so that the light scattered by the cell particles can be detected to obtain forward scattered light signals and side scattered light signals. Among them, the scattered light signal detected near the incident light beam is usually called the forward scattered light signal, and the scattered light signal detected in the direction about 90 degrees from the incident light beam is usually called the side scattered light signal. In addition, the fluorescence signal is usually also detected in the direction about 90 degrees from the incident light beam. The detection directions of the forward scattered light signal, the side scattered light signal, and the fluorescence signal can be set according to actual needs and scenarios, and are not limited in the embodiments of the present application.

[0071] S103. Identify platelet particle groups according to the forward scattered light signal and fluorescence signal of cell particles in the sample liquid to be tested.

[0072] In the embodiments of the present application, the data processing device 40 is communicatively connected to the optical detection device 30, and can obtain the forward scattered light signal, side scattered light signal, and fluorescence signal of cell particles in the sample liquid to be tested from the optical detection device 30, so as to identify platelet particle groups according to the forward scattered light signal and fluorescence signal of cell particles in the sample liquid to be tested.

[0073] In the embodiments of the present application, the data processing device 40 identifies platelet particle groups according to the forward scattered light signal and fluorescence signal of cell particles in the sample liquid to be tested, including: generating a first scatter plot according to the forward scattered light signal and fluorescence signal of each cell particle in the sample liquid to be tested; identifying the platelet region from the first scatter plot, and determining the particle group formed by the cell particles falling into the platelet region as the platelet particle group.

[0074] It should be noted that, in the embodiments of the present application, the first scatter plot can be a two-dimensional or three-dimensional graph. The first scatter plot shows the specific representations of the forward scattered light signal and fluorescence signal of cell particles in the sample liquid to be tested. Exemplarily, refer to Figure 3 and Figure 4 the first scatter plot shown, where each point corresponds to a cell particle in the sample liquid to be tested, the ordinate of each point represents the signal intensity of the forward scattered light signal (forward scatter, FSC) of the corresponding cell particle, and the abscissa represents the signal intensity of the fluorescence signal (fluorescence, FL) of the corresponding cell particle.

[0075] It can be understood that since different cell particles have different light scattering characteristics and fluorescence characteristics, they can be used to distinguish different particle populations. Specifically, the data processing device 40 can divide the platelet region from the first scatter plot using a set signal intensity threshold for the forward scatter light signal and the fluorescence signal, or an image processing algorithm, etc. See Figure 3 and Figure 4 , and the particle population formed by the cell particles falling into this region is the platelet particle population.

[0076] In the embodiments of the present application, the data processing device 40 can also identify the mature red blood cell particle population and / or the reticulocyte particle population based on the forward scatter light signal and the fluorescence signal of the cell particles in the sample liquid to be measured. See Figure 3 and Figure 4 . Similar to identifying the platelet particle population, the mature red blood cell region can also be identified from the first scatter plot, and the particle population formed by the cell particles falling into the mature red blood cell region is determined as the mature red blood cell particle population. The reticulocyte region can also be identified, and the particle population formed by the cell particles falling into the reticulocyte region is determined as the reticulocyte particle population. Specifically, it can be identified using a signal intensity threshold or an image processing algorithm, etc. The embodiments of the present application do not make any limitations.

[0077] S104. Identify the red blood cell interference clusters based on the forward scatter light signal and the side scatter light signal of the cell particles in the platelet particle population.

[0078] In the embodiments of the present application, as Figure 3 shows the first scatter plot generated under the condition of interference, Figure 4 shows the first scatter plot generated without interference. Comparing the two, the position and range of the platelet region determined from the first scatter plot are basically the same. However, the number of cell particles falling into the platelet region varies greatly. It is precisely because some red blood cells may mix into the platelets, interfering with platelet counting, which will lead to a falsely high platelet measurement result. For the above reasons, after determining the platelet particle population, the data processing device 40 further needs to identify the red blood cell interference clusters in the platelet particle population, that is, identify the interfering cell particles among them.

[0079] It should be noted that in the embodiments of the present application, considering that the red blood cell interference clusters are actually hemolyzed red blood cell fragments, and the content of hemoglobin is more complex than that of platelets. There are differences in the signal intensity of the scatter light signal. Among them, the signal intensity of the side scatter light signal is stronger, with a more obvious difference, and the fluorescence signal has lower particle recognition and precision compared to the scatter light signal. Based on this, the data processing device 40 can switch to the perspective of the side scatter light signal and the forward scatter light signal to identify the red blood cell interference clusters.

[0080] In an embodiment of the present application, the data processing device 40 identifies a red blood cell interference cluster based on the forward scatter light signal and the side scatter light signal of cell particles in the platelet particle group, including: generating a second scatter plot based on the forward scatter light signal and the side scatter light signal of cell particles in the platelet particle group; identifying a red blood cell interference region from the second scatter plot, and determining the particle cluster formed by the cell particles falling into the red blood cell interference region as the red blood cell interference cluster.

[0081] It should be noted that, in an embodiment of the present application, the data processing device 40 may first switch the perspective, generate a scatter plot to be selected based on the forward scatter light signal and the side scatter light signal of each cell particle in the sample liquid to be measured, as Figure 5 shown, and then select the region corresponding to the platelet region in the first scatter plot from the scatter plot to be selected as the second scatter plot, as Figure 6 shown, or directly generate the second scatter plot as shown in Figure 6 based on the forward scatter light signal and the side scatter light signal of cell particles in the platelet particle group. The embodiments of the present application do not make any limitations.

[0082] It should be noted that, in an embodiment of the present application, the second scatter plot may be a two-dimensional or three-dimensional graph. The specific representations of the forward scatter light signal and the side scatter light signal of cell particles in the platelet particle group are distributed on the second scatter plot. Refer to the second scatter plot shown in Figure 6 where each point corresponds to a cell particle in the platelet particle group, the ordinate of each point represents the signal intensity of the forward scatter light signal of the corresponding cell particle, and the abscissa represents the signal intensity of the side scatter light signal (SSC) of the corresponding cell particle.

[0083] It should be noted that, in an embodiment of the present application, the signal intensity of the red blood cell fragments in the side scatter light signal is stronger. Based on this, in the second scatter plot, the red blood cell interference cluster is located on the side where the side scatter light signal of the cell particles in other particle clusters increases. Refer to the second scatter plot shown in Figure 7 where the red blood cell interference region should be located on the lower right side of the second scatter plot. For the case without interference, there is actually no cell cluster on the lower right side, that is, there is no red blood cell interference cluster. Among them, the data processing device 40 may specifically identify the cell clusters from the second scatter plot according to the image processing algorithm, confirm the platelet cell clusters according to the information such as the morphological characteristics and relative positions of the cell clusters. The region on the lower right side of the platelet cell cluster is the red blood cell interference region. If there are no other cell clusters in this region, it is considered that there is no interference. If there are other cell clusters in this region, this cell cluster is the red blood cell interference cluster. In addition, the red blood cell interference region may also be divided from the second scatter plot with a set signal intensity threshold value to determine the red blood cell interference cluster.

[0084] S105. Determine the platelet count of the sample liquid to be tested based on the platelet particle group and the red blood cell interference cluster.

[0085] In the embodiment of the present application, after the data processing device 40 identifies the platelet particle group and the red blood cell interference cluster therein, it can determine the platelet count of the sample liquid to be tested based on the platelet particle group and the red blood cell interference cluster.

[0086] In the embodiment of the present application, the data processing device 40 determines the platelet count of the sample liquid to be tested based on the platelet particle group and the red blood cell interference cluster, including: counting the cell particles in the platelet particle group that are not included in the red blood cell interference cluster to obtain the platelet count of the sample liquid to be tested.

[0087] It can be understood that in the embodiment of the present application, the data processing device 40 identifies the platelet particle group and the red blood cell interference cluster. The red blood cell interference cluster is included in the platelet particle group, and the cell particles therein are the cell particles that interfere with the platelet count. Therefore, the cell particles in the platelet particle group that are not included in the red blood cell interference cluster can be directly counted, and the number of the counted cell particles is the platelet count of the sample liquid to be tested, thereby improving the accuracy of the platelet count. Exemplarily, based on the second scatter plot shown in Figure 7 the red blood cell interference cluster formed by the cell particles falling into the red blood cell interference region can be removed to obtain the second scatter plot shown in Figure 8 so that the cell particles falling therein can be counted, which is the platelet count of the sample liquid to be tested.

[0088] The embodiment of the present application provides a particle detection method and a blood analyzer. The method includes: mixing at least part of the blood sample with a reagent to obtain a sample liquid to be tested, where the reagent at least includes a diluent and a fluorescent dye solution; making the cell particles in the sample liquid to be tested pass through the detection area one by one, and irradiating the cell particles passing through the detection area with light to obtain the forward scatter light signal, the side scatter light signal, and the fluorescence signal generated by the cell particles after being irradiated with light; identifying the platelet particle group according to the forward scatter light signal and the fluorescence signal of the cell particles in the sample liquid to be tested; identifying the red blood cell interference cluster according to the forward scatter light signal and the side scatter light signal of the cell particles in the platelet particle group; determining the platelet count of the sample liquid to be tested according to the platelet particle group and the red blood cell interference cluster. The technical solution provided by the embodiment of the present application uses the forward scatter light signal and the side scatter light signal of the cell particles to identify the red blood cells mixed with the platelets, thereby removing the interference of the red blood cells on the platelet count and improving the accuracy of the platelet count.

[0089] It should be noted that in this application, unless otherwise clearly defined and limited, terms such as "connected" and "coupled" shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection, it may also be a mechanical connection or an electrical connection, and it may also be a direct connection or an indirect connection through an intermediate member. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0090] It should be noted that in this application, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such a device. Without more limitations, an element defined by the statement "including one..." does not exclude the existence of another identical element in the device including that element.

[0091] The serial numbers of the above embodiments of this application are only for description and do not represent the superiority or inferiority of the embodiments.

[0092] The features disclosed in the several product embodiments provided by this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0093] The features disclosed in the device embodiments provided by this application can be arbitrarily combined without conflict to obtain new device embodiments.

[0094] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims

1. A particle detection method, characterized in that, Comprising: Mixing at least part of a blood sample with a reagent to obtain a sample solution to be tested, wherein the reagent at least comprises a diluent and a fluorescent dye solution; Making the cell particles in the sample solution to be tested pass through a detection area one by one, and irradiating the cell particles passing through the detection area with light to obtain a forward scattered light signal, a side scattered light signal and a fluorescence signal generated by the cell particles after being irradiated with light; Identifying a platelet particle group according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample solution to be tested; Identifying an erythrocyte interference cluster according to the forward scattered light signal and the side scattered light signal of the cell particles in the platelet particle group; Determining the platelet count of the sample solution to be tested according to the platelet particle group and the erythrocyte interference cluster; 2. The method according to claim 1, wherein The identifying the platelet particle group according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample solution to be tested comprises: Generating a first scatter plot according to the forward scattered light signal and the fluorescence signal of each cell particle in the sample solution to be tested; Identifying a platelet area from the first scatter plot, and determining the particle group formed by the cell particles falling into the platelet area as the platelet particle group; 3. The method according to claim 1, characterized in that, The identifying the erythrocyte interference cluster according to the forward scattered light signal and the side scattered light signal of the cell particles in the platelet particle group comprises: Generating a second scatter plot according to the forward scattered light signal and the side scattered light signal of the cell particles in the platelet particle group; Identifying an erythrocyte interference area from the second scatter plot, and determining the particle cluster formed by the cell particles falling into the erythrocyte interference area as the erythrocyte interference cluster; 4. The method according to claim 3, characterized in that, In the second scatter plot, the erythrocyte interference cluster is located on the side where the side scattered light signal of the cell particles in other particle clusters increases; 5. The method according to claim 1, wherein The determining the platelet count of the sample solution to be tested according to the platelet particle group and the erythrocyte interference cluster comprises: Counting the cell particles in the platelet particle group that are not included in the erythrocyte interference cluster to obtain the platelet count of the sample solution to be tested; 6. The method according to claim 1, characterized in that The method further comprises: Identifying a mature erythrocyte particle group and / or a reticulocyte particle group according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample solution to be tested; 7. A hematology analyzer, characterized in that, Comprising: A sampling device having a sampling needle for sucking a blood sample; A sample preparation device having a reaction pool and a reagent supply unit, the reaction pool being used for receiving at least part of the blood sample sucked by the sampling device, and the reagent supply unit being used for supplying a reagent to the reaction pool, so that at least part of the blood sample is mixed with the reagent in the reaction pool to prepare a sample solution to be tested, wherein the reagent at least comprises a diluent and a fluorescent dye solution; An optical detection device, comprising a light source, a flow cell, a scattered light detector and a fluorescence detector, wherein the light source is used to emit a light beam to irradiate a detection area of the flow cell, the flow cell is communicated with the reaction pool, so that cell particles in the sample liquid to be detected in the reaction pool can pass through the detection area one by one, the scattered light detector is used to detect the forward scattered light signal and the lateral scattered light signal generated after the cell particles passing through the detection area are irradiated by light, and the fluorescence detector is used to detect the fluorescence signal generated after the cell particles passing through the detection area are irradiated by light; A data processing device, communicatively connected to the optical detection device and configured to: Obtain the forward scattered light signal, the lateral scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected from the optical detection device; Identify platelet particle groups according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected; Identify red blood cell interference clusters according to the forward scattered light signal and the lateral scattered light signal of the cell particles in the platelet particle groups; Determine the platelet count of the sample liquid to be detected according to the platelet particle groups and the red blood cell interference clusters.

8. The hematology analyzer according to claim 7, characterized in that, The data processing device is further configured to: generate a first scatter plot according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected; identify a platelet area from the first scatter plot, and determine the particle group formed by the cell particles falling into the platelet area as the platelet particle group.

9. The hematology analyzer according to claim 7, wherein The data processing device is further configured to: generate a second scatter plot according to the forward scattered light signal and the lateral scattered light signal of the cell particles in the platelet particle groups; identify the red blood cell interference area from the second scatter plot, and determine the particle cluster formed by the cell particles falling into the red blood cell interference area as the red blood cell interference cluster.

10. The hematology analyzer according to claim 9, characterized in that, In the second scatter plot, the red blood cell interference cluster is located on the side where the lateral scattered light signal of the cell particles in other particle clusters increases.

11. The hematology analyzer according to claim 8, characterized in that, The data processing device is further configured to: count the cell particles in the platelet particle groups that are not included in the red blood cell interference clusters to obtain the platelet count of the sample liquid to be detected.

12. The hematology analyzer according to claim 8, wherein The data processing device is further configured to: identify mature red blood cell particle groups and / or reticulocyte particle groups according to the forward scattered light signal and the fluorescence signal of the cell particles in the sample liquid to be detected.

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