WO2020223938A1 - Whole blood sample analyzer, whole blood sample analysis method and device implementing same, and storage medium - Google Patents

Abstract

A whole blood sample analyzer, a whole blood sample analysis method and a device implementing same, and a storage medium. The whole blood sample analysis method is applicable to analysis of a peripheral blood sample, and comprises: acquiring optical signal information of a peripheral blood sample that has been treated with a reagent (S201), wherein the optical signal information comprises at least two of a forward-scattered light signal, a laterally scattered light signal and a fluorescent light signal; identifying, according to the optical signal information, impure particles in the peripheral blood sample under test (S202); processing optical signal information of the identified impure particles (S203); performing a differential counting operation on particles in the peripheral blood sample under test on the basis of the optical signal information that has undergone impure-particle processing (S204); and outputting a differential counting result of the peripheral blood sample under test (S205).

Description

Whole blood sample analyzer, whole blood sample analysis method, device and storage medium Technical field

This application relates to the field of medical testing, in particular the field of blood cell testing, and relates to but not limited to a whole blood sample analyzer, a whole blood sample analysis method, a device and a storage medium.

Background technique

Routine blood examination is one of the clinical diagnostic examination items, which plays an important role in the diagnosis and treatment of diseases. The collection of blood samples is divided into two types: venous blood collection and peripheral blood collection. In routine blood tests, cubital veins are mostly selected for venous blood collection. The thick blood vessels here have a large flow rate, which is easy for the tester to take, and is less affected by temperature and peripheral circulation, which can accurately reflect the actual physical condition of the patient. The collection of peripheral blood is mostly performed by scraping or aspirating through the fingertips, which is easy to operate and can avoid the pain of repeated puncture. Infants and young children usually use peripheral blood collection; some emergency patients have to be checked multiple times a day, leukemia, tumors, etc. need to be repeated routine blood examinations during treatment. If venous blood is collected every time, it will cause damage and affect treatment, so for this kind of situation There are also many ways to collect peripheral blood.

However, due to the special collection site of the peripheral blood, the flow rate of the peripheral blood is slow. If bleeding is not smooth, repeated squeezing is required. The outermost layer of the fingertip epidermis is the stratum corneum, which is composed of flat dead non-nucleated cells. When squeezing and scraping the skin when collecting peripheral blood, it is very easy to cause these keratinocytes to fall off, which will bring these keratinocyte fragments of different sizes into the peripheral blood sample collection sample, which will interfere with some of the test results of the blood cell analyzer. In the collection of peripheral blood samples by scraping method, keratinocyte fragments will inevitably interfere with the cell count. The fragments on the blood cell classification scatter diagram interfere very obviously, which seriously affects the accuracy of the test results.

Reliable test results are the criterion for clinical diagnosis. Therefore, a method for reducing the influence of impurities on the classification and counting of cells during the collection of peripheral blood is urgently needed to solve the above problems.

Summary of the invention

In view of this, the embodiments of the present application expect to provide a whole blood sample analyzer, a whole blood sample analysis method, a device and a storage medium thereof, which solve the detection result caused by impurity particles brought by the external environment when collecting peripheral blood. The problem of inaccuracy. In addition, this application can also perform targeted processing and analysis according to the sample type of the whole blood sample, thereby improving the accuracy of the detection result.

The technical solutions of the embodiments of the present application are implemented as follows:

The first aspect of the present application provides a whole blood sample analyzer that can be used to analyze peripheral blood samples, and the whole blood sample analyzer includes:

A sampling device having a pipette with a pipette nozzle and a driving device for driving the pipette to quantitatively suck a peripheral blood sample through the pipette nozzle;

The reaction device has a reaction tank and a liquid supply part, wherein the reaction tank is used to receive a peripheral blood sample sucked by the sampling device, and the liquid supply part provides reagents to the reaction tank so that the sampling device sucks The peripheral blood sample reacts with the reagent provided by the liquid supply part in the reaction tank to prepare a peripheral blood sample to be tested;

The optical detection device has a light source, a flow chamber and a light collector, wherein the particles of the peripheral blood sample after the reagent treatment can flow in the flow chamber, and the light emitted by the light source irradiates the particles in the flow chamber to Generating optical signal information, and the light collector is used to collect the optical signal information, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

A conveying device for conveying the peripheral blood sample processed by the reagent in the reaction tank to the optical detection device;

The processor is configured to: obtain the optical signal information from the optical detection device; identify the impurity particles in the peripheral blood sample to be detected according to the optical signal information; perform optical signal information on the identified impurity particles Processing; classifying and counting the particles in the peripheral blood sample to be detected according to the optical signal information after the impurity particle processing; and outputting the classification and counting result of the peripheral blood sample to be detected.

In the above solution, the impurity particles may be caused by external environmental interference, especially caused by the use of scraping method to collect peripheral blood samples.

In the above solution, the impurity particles may be skin keratinocyte fragments.

In the above solution, the processor may be configured to perform the following steps when performing the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information:

Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram;

Identify the particles in the preset interference region as impurity particles.

Preferably, the preset interference area may be a preset fixed area, especially according to the forward scattered light signal and the side scattered light signal scatter diagram of the normal whole blood sample and the particles that interfere with the peripheral blood sample. The determined fixed area; or the preset interference area may also be dynamically determined according to the distribution of forward scattered light signals and side scattered light signals of all particles in the peripheral blood sample to be detected.

In the above solution, the predetermined interference area may be located between the lymphocyte population and the eosinophil population in a scatter diagram with the forward scattered light signal as the ordinate and the side scattered light signal as the abscissa and/ Or at the top right of the neutrophil population.

In the above solution, the processor may be configured to perform the following steps when performing the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information:

Determining whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

The particles whose forward scattered light pulse width is greater than the preset pulse width threshold are identified as impurity particles.

Preferably, the preset pulse width threshold may be a preset fixed threshold, especially a fixed threshold that may be determined based on the forward scattered light pulse width distribution of the normal whole blood sample and the particles that interfere with the peripheral blood sample; or The preset pulse width threshold may also be dynamically determined according to the average value of the forward scattered light pulse widths of all particles in the peripheral blood sample to be detected.

In the above solution, the processor may be configured to perform the following steps when performing the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information:

Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram and judging whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

Identifying particles that are in the preset interference region and whose forward scattered light pulse width is greater than a preset pulse width threshold value are impurity particles.

In the above solution, the processor may perform the following steps when processing the optical signal information of the identified impurity particles:

Remove the optical signal information of the impurity particles; or set the impurity particles as ghost particles; or display the impurity particles in a different color from other particles; or output information about the presence of impurity particles in the peripheral blood sample to be detected Prompt information and/or output prompts whether to deal with impurity particles.

In the above solution, the processor is further configured to perform the following steps:

After the impurity particles are identified, the number of real leukocyte particles and the number of impurity particles in the peripheral blood sample to be detected are determined;

When the number of real white blood cell particles and the number of impurity particles meet a preset condition, output prompt information indicating that impurity particles are present in the peripheral blood sample to be detected and/or output a prompt whether to process impurity particles.

In the above solution, the whole blood sample analyzer may further include a display device configured to receive and display the classification and counting result of the peripheral blood sample to be detected from the processor and/or the optical signal information At least two kinds of scatter charts.

A second aspect of the present application provides a whole blood sample analyzer capable of analyzing venous blood samples and peripheral blood samples, the whole blood sample analyzer including:

A sampling device having a pipette with a pipette nozzle and a driving device for driving the pipette to quantitatively suck whole blood samples through the pipette nozzle;

The reaction device has a reaction tank and a liquid supply part, wherein the reaction tank is used to receive the whole blood sample sucked by the sampling device, and the liquid supply part provides reagents to the reaction tank so that the sampling device sucks The whole blood sample reacts with the reagent provided by the liquid supply part in the reaction tank to prepare a whole blood sample to be tested;

The optical detection device has a light source, a flow chamber and a light collector, wherein the particles of the peripheral blood sample after the reagent treatment can flow in the flow chamber, and the light emitted by the light source irradiates the particles in the flow chamber to Generating optical signal information, and the light collector is used to collect the optical signal information, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

A conveying device for conveying the whole blood sample processed by the reagent in the reaction tank to the optical detection device;

A processor, configured to: obtain the optical signal information from the optical detection device; determine the sample type of the whole blood sample to be tested; when the sample type of the whole blood sample to be tested is the first sample type , Using the optical signal information to classify and count the particles of the whole blood sample to be detected under the first classification and counting algorithm, and when the sample type of the whole blood sample to be detected is the second sample type, using the optical The signal information classifies and counts the particles of the whole blood sample to be detected under a second classification and counting algorithm that is different from the first classification and counting algorithm; and outputs the classification and counting result of the whole blood sample to be detected.

In the above solution, the first classification and counting algorithm and the second classification and counting algorithm may be related to a segmentation algorithm of cell populations in a whole blood sample.

In the above solution, the first classification and counting algorithm and the second classification and counting algorithm may be related to the interference of impurity particles in the whole blood sample.

In the above solution, the interference of the impurity particles may be caused by the interference of the external environment, especially caused by the collection of whole blood samples by the blood scraping method.

In the above solution, the interference of foreign particles may be interference caused by keratinocyte debris.

In the above solution, the processor may be configured to, when the sample type of the whole blood sample to be detected is a peripheral blood sample, identify the impurity particles in the whole blood sample to be detected according to the optical signal information, and Process the optical signal information of the identified impurity particles.

In the above solution, the whole blood sample analyzer may further include a mode selection unit configured to select a mode for detecting a peripheral blood sample or a venous blood sample and output the mode information to the processor; The mode selection unit obtains mode information to determine whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method.

A third aspect of the present application provides a whole blood sample analysis method that can be used to analyze peripheral blood samples, the method comprising:

Acquiring optical signal information of the peripheral blood sample processed by the reagent, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

Identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information;

Process the optical signal information of the identified impurity particles;

Classify and count the particles in the peripheral blood sample to be detected according to the optical signal information after the impurity particle processing; and

Output the classified counting result of the peripheral blood sample to be detected.

In the above solution, the impurity particles may be caused by external environmental interference, especially caused by the use of blood scraping to collect a whole blood sample.

In the above solution, the impurity particles may be skin keratinocyte fragments.

In the above solution, the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information may include:

Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram;

Identify the particles in the preset interference region as impurity particles.

Preferably, the preset interference area may be a preset fixed area, especially determined according to the forward scattered light signal and the side scattered light signal scatter diagram of the normal whole blood sample and the interfering peripheral blood sample. Or the preset interference area can also be dynamically determined according to the distribution of forward scattered light signals and side scattered light signals of all particles in the peripheral blood sample to be detected.

In the above solution, the predetermined interference area may be located between the lymphocyte population and the eosinophil population in a scatter diagram with the forward scattered light signal as the ordinate and the side scattered light signal as the abscissa and/ Or at the top right of the neutrophil population.

In the above solution, the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information may include:

Determining whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

The particles whose forward scattered light pulse width is greater than the preset pulse width threshold are identified as impurity particles.

Preferably, the preset pulse width threshold may be a preset fixed threshold, especially a fixed threshold that may be determined based on the forward scattered light pulse width distribution of the normal whole blood sample and the particles that interfere with the peripheral blood sample; or The preset pulse width threshold may also be dynamically determined according to the average value of the forward scattered light pulse widths of all particles in the peripheral blood sample to be detected.

In the above solution, the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information may include:

Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram and judging whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

Identifying particles that are in the preset interference region and whose forward scattered light pulse width is greater than a preset pulse width threshold value are impurity particles.

In the above solution, the step of processing the optical signal information of the identified impurity particles may include:

Remove the optical signal information of the impurity particles; or set the impurity particles as ghost particles; or display the impurity particles in a different color from other particles; or output information about the presence of impurity particles in the peripheral blood sample to be detected Prompt information and/or output prompts whether to deal with impurity particles.

In the above solution, the method may further include:

After the impurity particles are identified, the number of real leukocyte particles and the number of impurity particles in the peripheral blood sample to be detected are determined;

When the number of real leukocyte particles and the number of impurity particles meet a preset condition, output prompt information that impurity particles are present in the peripheral blood sample to be detected and/or output a prompt whether to process impurity particles.

The fourth aspect of the present application provides a whole blood sample analysis method capable of analyzing venous blood samples and peripheral blood samples, and the method includes:

Acquiring optical signal information of the whole blood sample processed by the reagent, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

Determining the sample type of the whole blood sample to be tested;

When the sample type of the whole blood sample to be detected is the first sample type, the optical signal information is used to classify and count the particles of the whole blood sample to be detected under the first classification and counting algorithm. When the sample type of the whole blood sample to be detected is the second sample type, the optical signal information is used to classify and count the particles of the whole blood sample to be detected under a second classification and counting algorithm different from the first classification and counting algorithm ;as well as

Output the classified counting result of the whole blood sample to be tested.

In the above solution, the step of determining whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method includes:

According to the mode selection information input by the user, it is determined whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method.

In the solution according to the fourth aspect of the present application, when the sample type of the whole blood sample to be tested is a peripheral blood sample, the method according to the third aspect of the present application is implemented.

A fifth aspect of the present application provides a whole blood sample analysis device, which is applied to a whole blood sample analyzer, and the whole blood sample analysis device includes:

Memory, configured to store executable instructions;

The processor is configured to execute the whole blood sample analysis method as described above when running the executable instructions stored in the memory.

A sixth aspect of the present application provides a computer-readable storage medium storing executable instructions, wherein the computer-readable storage medium is configured to cause a processor to execute the executable instructions to implement the whole blood sample as described above Analytical method.

The embodiments of the present application provide a whole blood sample analyzer, a whole blood sample analysis method, a whole blood sample analysis method, a device, and a storage medium. When a whole blood sample analysis is performed on a peripheral blood sample, the blood scraping method is used to collect the peripheral blood sample. It is necessary to repeatedly squeeze and scrape the skin, which will inevitably cause impurity particles in the peripheral blood sample, which will interfere with some of the test results of the sample analyzer. Therefore, when the whole blood sample is analyzed on the peripheral blood sample, the whole blood The impurity particles in the sample caused by the external environment are identified and processed, so as to prevent impurity particles from affecting the classification and counting results of the whole blood sample, and further ensure the accuracy of the analysis results.

Description of the drawings

Figure 1 is a schematic diagram of the composition and structure of the whole blood sample analyzer of the application;

FIG. 2 is a schematic flow chart 1 of the first embodiment of the whole blood sample analysis method of this application;

Fig. 3A is a scatter diagram of SS-FS cell particles of a peripheral blood sample that has not been processed for noise;

FIG. 3B is a scatter diagram of cell particles SS-FS of a peripheral blood sample after noise removal according to the method of the present application;

4 is a schematic diagram of the second embodiment of the whole blood sample analysis method of the application;

Figure 5A is a two-dimensional scatter diagram formed by the SS signal intensity and FS signal intensity of cell particles in a normal whole blood sample after hemolysis treatment;

5B is a two-dimensional scatter diagram formed by the SS signal intensity and FS signal intensity of the cell particles in the peripheral blood sample after hemolysis treatment;

6A is a schematic diagram of fixedly setting a rectangular area as a noise particle area in an SS-FS two-dimensional scatter diagram according to an embodiment of the application;

FIG. 6B is a schematic diagram of fixedly setting the arc area as the noise particle area in the SS-FS two-dimensional scatter diagram according to an embodiment of the application;

7A is a schematic diagram of dynamically setting a rectangular area as a noise particle area in an SS-FS two-dimensional scatter diagram according to an embodiment of the application;

7B is a schematic diagram of dynamically setting a circular area as a noise particle area in an SS-FS two-dimensional scatter diagram according to an embodiment of the application;

FIG. 8 is a schematic diagram of fixedly setting a rectangular parallelepiped area as a noise particle area in an FS-SS-FSW three-dimensional scatter diagram according to an embodiment of the application;

FIG. 9 is a third schematic flowchart of the first embodiment of the whole blood sample analysis method of this application;

10A is a schematic diagram of the forward scattered light pulse signal of normal white blood cell particles;

10B is a schematic diagram of the forward scattered light pulse signal of impurity particles;

FIG. 11A is a FSW-FS scatter diagram of white blood cell particles in a normal whole blood sample after hemolysis treatment;

FIG. 11B is a FSW-FS scatter diagram of interfering leukocyte particles in a peripheral blood sample after hemolysis treatment;

12 is a schematic diagram of setting a preset pulse width threshold in relation to the average value of the forward scattered light pulse width of all particles in the peripheral blood sample to be detected according to an embodiment of the application;

FIG. 13 is a fourth schematic flowchart of the first embodiment of the whole blood sample analysis method of this application;

14 is a schematic diagram of judging the noise particles in the peripheral blood sample to be detected according to the method shown in FIG. 13;

15 is a schematic flowchart of the second embodiment of the whole blood sample analysis method of this application;

Figure 16A is a FL-FS scatter diagram of red blood cells and platelets in venous blood;

Figure 16B is a FL-FS scatter diagram of red blood cells and platelets in peripheral blood;

FIG. 17 is a schematic structural diagram of a whole blood sample analysis device according to an embodiment of the application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the specific technical solutions of the invention will be described in further detail below in conjunction with the accompanying drawings. The following examples are used to illustrate the application, but are not used to limit the scope of the application.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of this application. The terminology used herein is only for the purpose of describing the embodiments of the application, and is not intended to limit the application.

In the following description, "some embodiments" are referred to, which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and Can be combined with each other without conflict.

It should be pointed out that the term "first\second\third" involved in the embodiments of the present application merely distinguishes similar objects, and does not represent a specific order of objects.

In order to facilitate the subsequent description, here is a brief description of some terms involved in the following.

1) Scatter chart: It is a two-dimensional or three-dimensional chart generated by a blood cell analyzer, on which the two-dimensional or three-dimensional feature information of multiple particles is distributed, and the X coordinate axis, Y coordinate axis and The Z coordinate axis represents a characteristic of each particle. For example, in a scatter diagram, the X coordinate axis represents the forward scattered light intensity, the Y coordinate axis represents the fluorescence intensity, and the Z axis represents the side scattered light intensity.

2) Cell population: distributed in a certain area of the scatter diagram, a cluster of particles formed by multiple particles with the same characteristics, such as white blood cell population, and neutrophil, lymphocyte, and monocyte population in white blood cells , Eosinophils or basophils, etc.

3) Ghost: It is the fragment particles obtained by dissolving red blood cells and platelets in the blood with a hemolytic agent.

The embodiment of the application first provides a whole blood sample analyzer, which can at least be used to analyze peripheral blood samples. FIG. 1 is a schematic diagram of the composition and structure of a whole blood sample analyzer 100 according to an embodiment of the application. As shown in FIG. 1, the whole blood sample analyzer 100 at least includes a sampling device (not shown), a reaction device 110, an optical detection device 120, a delivery device 130 and a processor 140.

The sampling device not shown may have a pipette with a pipette nozzle and a drive device for driving the pipette to quantitatively suck a whole blood sample through the pipette nozzle, for example, collected by a blood scraping method Peripheral blood sample. Further, the sampling device is driven by its driving device after sucking the whole blood sample and moved to the reaction tank 111 of the reaction device 110, and the sucked whole blood sample is injected into the reaction tank 111.

The reaction device 110 has at least one reaction cell 111 and a liquid supply part (not shown), wherein the reaction cell 111 is used to receive a whole blood sample drawn by the sampling device, and the liquid supply part provides reagents to the reaction tank 111, so that the whole blood sample drawn by the sampling device reacts with the reagent provided by the liquid supply part in the reaction tank to prepare a whole blood sample to be tested. For example, the liquid supply part can be used to inject appropriate hemolytic agents and fluorescent dyes into the reaction cell to perform hemolysis and fluorescent staining of particles in the whole blood sample to prepare a whole blood sample to be tested for testing Among them white blood cells.

The optical detection device 120 has a light source 121, a flow chamber 122, and light collectors 123, 124, and 125. The flow chamber 122 has an orifice 1221, and the particles of the whole blood sample after the reagent treatment in the reaction device 110 can be The flow inside the flow chamber 122 passes through the orifices 1221 one by one. The light emitted by the light source 121 irradiates the particles in the flow chamber 122 to generate optical signal information. The light collectors 123, 124, 125 are used to collect the optical signal information, where the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal, that is, optical detection The device 120 at least includes at least two types of light collectors among a forward scattered light collector 123, a side scattered light collector 124, and a fluorescent light collector 125. The light collector is formed as a photoelectric sensor, such as a photodiode or a photomultiplier tube. As shown in FIG. 1, the forward scattered light emitted by blood cells (for example, white blood cells) flowing in the flow chamber 122 is received by the photodiode (forward scattered light collector) 123 through the condenser 126 and the pinhole 127. The side scattered light is received by the photomultiplier tube (side scattered light concentrator) 124 through the condenser lens 126, the dichroic mirror 128, the optical film 129, and the pinhole 127. The fluorescence is received by the photomultiplier tube (fluorescence concentrator) 125 through the condenser lens 126 and the dichroic mirror 128. The optical signals output from the respective light collectors 123, 124, and 125 are respectively sent to the processor 140 after being amplified by the amplifier 150 and analog signal processing such as waveform processing.

The conveying device 130 is used for conveying the whole blood sample processed by the reagent in the reaction tank 111 to the optical detection device 120.

The processor 140 is configured to obtain the optical signal information from the optical detection device 120 and process the optical signal information. The processor 140 may have an A/D converter, not shown, for converting the analog signal provided by the optical detection device 120 into a digital signal. Specifically, the processor 140 is configured to implement the whole blood sample analysis method according to the present application, which will be described in detail below.

In the embodiment of the present application, the aforementioned processor 140 may be an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (Digital Signal Processor, DSP), or a Digital Signal Processing Device (Digital Signal Processing Device, DSPD). , Programmable logic device (ProgRAMmable Logic Device, PLD), field programmable gate array (Field ProgRAMmable Gate Array, FPGA), central processing unit (Central Processing Unit, CPU), controllers, microcontrollers, microprocessors At least one. It is understandable that, for different devices, the electronic devices used to implement the above-mentioned processor functions may also be other, which is not specifically limited in the embodiment of the present application.

In addition, the whole blood sample analyzer 100 further includes a display device (not shown) configured to receive and display the whole blood sample analysis result and/or at least two of the optical signal information from the processor 140 Scatter chart composed.

The whole blood sample analysis method proposed in this application will be described in detail below in conjunction with the aforementioned whole blood sample analyzer 100 and corresponding drawings. The whole blood sample analysis method can be implemented by the processor 140 of the whole blood sample analyzer 100 in the embodiment of the present application.

This embodiment provides a whole blood sample analysis method 200, which is applied to a whole blood sample analyzer. The whole blood sample analysis method can be used to analyze peripheral blood samples. The whole blood sample analysis method can be used in a whole blood sample analyzer. 100 white blood cell detection channels are realized. FIG. 2 is a schematic flow chart 1 of the first implementation of a whole blood sample analysis method according to an embodiment of this application. As shown in FIG. 2, the method 200 includes:

Step S201: Obtain the optical signal information of the peripheral blood sample processed by the reagent.

Here, the optical signal information includes at least two of a forward scattered light signal (Front Scattering, FS) signal, a side scattered light signal (Side Scattering, SS), and a fluorescent signal (Fluorescence, FL), especially including the front Side scattered light signal and side scattered light signal. Among them, the forward scattered light signal reflects the size of the cell particle, the side scattered light signal reflects the complexity of the internal structure of the cell particle, and the fluorescent signal reflects the deoxyribonucleic acid (DNA) and ribonucleic acid (Ribonucleic Acid) in the cell particle. , RNA) and other substances that can be dyed by fluorescent dyes. In addition, the optical signal information may include, for example, the pulse width of the optical signal and/or the pulse peak value of the optical signal.

Before step S201 is implemented, in the white blood cell detection channel of the whole blood sample analyzer 100, the collected peripheral blood sample is first subjected to hemolysis processing and optional fluorescent staining processing. For example, in the reaction device 110 of the whole blood sample analyzer 100, the peripheral blood sample collected by the sampling device is mixed with a reagent including a fluorescent dye and a hemolytic agent in a certain ratio, and the peripheral blood sample to be tested is obtained after the reaction. After the treatment, the red blood cells in the peripheral blood sample are ruptured, and the particles in the processed peripheral blood sample to be tested include at least ghost particles formed by the ruptured red blood cells and white blood cell particles. The optical detection device 120 in the whole blood sample analyzer 100 detects the peripheral blood sample to be detected after the reagent has been processed, thereby obtaining optical signal information and transmitting it to the processor 140.

Step S202: Identify the impurity particles in the peripheral blood sample to be detected according to the optical signal information.

In the embodiments of the present application, when blood is collected from the subject's finger by scraping, it is often necessary to repeatedly squeeze to collect enough whole blood samples. When squeezing and scraping the skin when collecting peripheral blood, it is very easy to cause the stratum corneum of the outermost layer of the fingertip epidermis to fall off, thereby bringing keratinocyte fragments into the whole blood sample, which will interfere with some of the test results of the sample analyzer . Therefore, in the embodiments of the present application, the impurity particles are caused by the interference of the external environment, especially caused by the blood scraping method to collect the whole blood sample. Further, the impurity particles may be fragments of skin keratinocytes.

In order to avoid keratinocyte fragments from interfering with the detection results of peripheral blood samples, it is necessary to identify foreign particles in the peripheral blood sample to be tested, so that the identified foreign particles can be processed subsequently.

Step S203, processing the optical signal information of the identified impurity particles.

Here, when step S203 is implemented, the impurity particles may be set as ghost particles or the information of impurity particles may be directly removed; or at the same time, the impurity particles may be displayed in a color different from other particles.

In step S204, the particles in the peripheral blood sample to be detected are classified and counted according to the optical signal information after the impurity particle processing.

Here, for the peripheral blood sample, since the impurity particle information is no longer included in the optical signal information after the impurity particle processing, it is possible to prevent impurity particles from affecting the classification and counting results of the peripheral blood sample, thereby ensuring the accuracy of the analysis result.

Step S205, outputting the classification and counting result of the peripheral blood sample to be detected.

Here, according to the method shown in Figure 2, the number of white blood cells in several peripheral blood samples collected by the scraping method are counted, and the identified impurity particles are set as ghost particles or directly deleted. Table 1 The result shown, where the reference value is the white blood cell count result of a venous blood sample from the same subject.

Table 1 The results of white blood cell count before and after processing the noise particles in the peripheral blood sample

In addition, it can also output the classification and count results of the white blood cells of the peripheral blood sample in the form of SS-FS scatter diagram, as shown in Figure 3A and Figure 3B, where Figure 3A shows the cells of the peripheral blood sample that have not been processed for noise. The particle SS-FS scatter diagram, and FIG. 3B is the cell particle SS-FS scatter diagram of the peripheral blood sample after the noise particles are removed according to the method 200 of the present application.

It can be seen that the method according to the present application can reduce the interference of impurity particles caused by the external environment when performing leukocyte classification and counting on the peripheral blood sample collected by the scraping method, so that more accurate analysis results can be obtained.

4 is a schematic diagram of the second implementation of the whole blood sample analysis method 200 according to an embodiment of the application. As shown in FIG. 4, the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information S202 may include:

Step S202a, generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information.

Here, when step S202a is implemented, a two-dimensional SS-FS scatter diagram can be generated based on the SS signal intensity and the FS signal intensity in the optical signal information; or, based on the forward scattered light in the optical signal information Pulse width (Front Scattering Width, FSW) and FS signal intensity to generate a two-dimensional FSW-FS scatter plot; or, based on the forward scattered light pulse signal, forward scattered light pulse width and lateral direction in the particle detection information Scatter light pulse signal to generate a three-dimensional FS-SS-FSW scatter plot.

It should be noted that in the embodiments of the present application, the scatter chart is not limited by its graphic presentation form, and may also be presented in the form of data.

Step S202b: It is judged whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram.

Because the impurities in the peripheral blood are keratin and other unknown particles, the volume is larger and more complex, so the pulse width of the forward scattered light, the intensity of the forward scattered light, and the intensity of the side scattered light are relatively large. These features can be used to find the impurity characteristic area.

Here, the preset interference area may be a preset fixed area, for example, the fixed area may be delineated based on experience or based on the forward scattered light of each particle that interferes with the normal whole blood sample and the peripheral blood sample processed by the reagent. The fixed area defined by the scatter plot of the signal and the side scattered light signal.

In order to better understand the embodiments of the present application, firstly, the characteristics of normal whole blood samples and peripheral blood interference samples are explained. The normal whole blood sample is, for example, a normal whole blood sample without interference from a certain subject, For example, it is a venous blood sample, and the interfering peripheral blood sample is a peripheral blood sample collected by a blood scraping method from the same subject.

Figure 5A is a two-dimensional scatter diagram formed by the SS signal intensity and FS signal intensity of the cell particles in the normal whole blood sample after hemolysis treatment, and Figure 5B is the interference of the cell particles in the peripheral blood sample after hemolysis treatment A two-dimensional scatter plot formed by SS signal strength and FS signal strength. From the comparison of Figure 5A and Figure 5B, it can be seen that there are many noise particles in Figure 5B, and the location of the noise particles is relatively fixed. For example, the noise particles appear in the real neutrophil population ( The upper right of the reference normal whole blood sample) and between the real lymphocyte population (reference normal whole blood sample) and the real eosinophil population (reference normal whole blood sample). Therefore, in the embodiment of the present application, the preset interference area may be a preset fixed area, where the fixed area may be based on the SS signal intensity and FS of the normal whole blood sample and the noise interference sample after hemolysis processing. The signal strength is determined by the scatter plot.

For example, as shown in Figure 6A, the upper right of the SS-FS two-dimensional scatter diagram, especially the upper right rectangular area of the real neutrophil population, or the real lymphocyte population and the real eosinophil The rectangular area between the granulocyte groups is preset as a fixed area with noise interference. Of course, in addition to delimiting the rectangular area as the impurity interference area, areas of other shapes can also be delineated as the impurity interference area, such as the arc area shown in FIG. 6B.

In addition, in other embodiments, the preset interference region may also be dynamically determined according to the distribution of forward scattered light signals and side scattered light signals of all particles in the peripheral blood sample to be detected. As shown in Figure 7A, according to the forward scattered light signal and the side scattered light signal of the white blood cell particles in the peripheral blood sample to be detected, the center of gravity position coordinates of the white blood cell particle group in the SS and FS directions are determined, and then based on the white blood cell The coordinates of the center of gravity of the particle group determine the coordinates of the reference point of the preset interference area. For example, when the preset interference area is a rectangular area, the length and width of the rectangular area are preset, and the coordinates of the center of gravity position of the white blood cell particle group can be determined. The coordinates of the lower left vertex of the rectangular area, and then the preset interference area is determined according to the length and width of the rectangular area and the coordinates of the lower left vertex. Of course, the preset interference area may be a circular area, as shown in FIG. 7B. In this case, the radius of the circular area is preset, and the circle can be determined according to the coordinates of the center of gravity of the white blood cell particle group. The coordinates of the center of the area, and then the preset interference area is determined according to the radius of the circular area and the coordinates of the center of the circle.

It should be noted that the shape of the preset interference area may be various, for example, it may be rectangular, circular, square, and/or polygonal, etc., which is not specifically limited in this application.

In other embodiments, the noise area, such as the rectangular parallelepiped area, can also be directly delineated in the FS-SS-FSW three-dimensional scatter plot. As shown in FIG. 8, the rectangular parallelepiped area shown by the dotted line can be set as the noise particle area.

It should be noted that if the scatter diagram is presented in a graph, the preset interference area can be considered as a certain area in the graph. For example, the preset interference area can be the ordinate and the side of the forward scattered light signal. The scatter diagram with the scattered light signal on the abscissa is at the upper right of the neutrophil population and between the lymphocyte population and the eosinophil population. If the scatter chart is presented in the form of data, the preset interference area can be considered as a numerical range interval.

It should be noted that in this step, it is possible to determine whether all particles in the peripheral blood sample to be detected are interfering particles. However, the inventor found that the impurity particles in the peripheral blood sample are usually erroneously classified as eosinophils or neutrophils. Therefore, it is also possible to pre-classify all the particles in the peripheral blood sample to be detected before identifying the interfering particles. Then it is only judged whether the pre-classified eosinophils or neutrophils are in the predetermined interference area.

Step S202c, identifying particles in the preset interference region as impurity particles.

It should be noted that, for other steps in the embodiment shown in FIG. 4, reference may be made to the description of the embodiment shown in FIG. 2.

FIG. 9 is a schematic flow diagram of the third embodiment of the whole blood sample analysis method 200 according to an embodiment of the application. As shown in FIG. 9, the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information S202 may include:

Step S202d, determining whether the forward scattered light pulse width (FSW) of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold.

As shown in Figures 10A and 10B, Figure 10A is the forward scattered light pulse signal of normal white blood cell particles, and Figure 10B is the forward scattered light pulse signal of impurity particles. Because the forward scattered light pulse signal FSW of impurity particles is higher than that of normal white blood cell particles The FSW of the peripheral blood sample is large, so it can be determined whether the particles of the peripheral blood sample are noise particles by judging whether the FSW of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold.

Preferably, the preset pulse width threshold may be a preset fixed threshold. The fixed threshold may be based on the forward scattered light pulse width of the normal whole blood sample after the reagent treatment (for example, after hemolysis treatment) and the interference peripheral blood sample. Distribution to determine.

FIG. 11A is a FSW-FS scatter plot of white blood cell particles in a normal whole blood sample after hemolysis treatment, and FIG. 11B is a FSW-FS scatter plot of white blood cell particles in a hemolyzed peripheral blood sample that interferes with. It can be seen from the comparison between FIG. 11A and FIG. 11B that the pulse width of the noise particles is relatively large, so the fixed threshold FSW_BIG can be determined by the FSW distribution of the white blood cell particles in the normal whole blood sample.

In other embodiments, the preset pulse width threshold may also be dynamically determined according to the average value of the forward scattered light pulse widths of all particles in the peripheral blood sample to be detected. For example, the preset pulse width threshold FSW_BIG is determined by specifying a positive correlation function related to the forward scattered light pulse width average value FSW_aver, that is, FSW_BIG=f(FSW_aver). For example, the preset pulse width threshold may be 1.5 times the average value of the FSW of all particles, as shown in FIG. 12.

It should be noted that in this step, it is possible to determine whether all particles in the peripheral blood sample to be detected are interfering particles. However, the inventor found that the interference of impurity particles in the peripheral blood sample is usually erroneously classified as eosinophils or neutrophils. Therefore, it is also possible to pre-classify all the particles in the peripheral blood sample before identifying the interference particles. , And then only determine whether the forward scattered light pulse width pre-classified as eosinophils or neutrophils is greater than the preset pulse width threshold.

Step 202e, identifying particles with forward scattered light pulse width greater than a preset pulse width threshold as impurity particles.

It should be noted that, for other steps in the embodiment shown in FIG. 9, reference may be made to the description of the embodiment shown in FIG. 2.

In other embodiments, it is also possible to combine the embodiment shown in FIG. 4 and the embodiment shown in FIG. 9 to determine the impurity particles, as shown in FIG. 13 and FIG. 14, that is, first determine the tip to be detected Whether the particles of the blood sample are in the preset interference area of the scatter diagram composed of the SS signal intensity and the FS signal intensity of the peripheral blood sample to be detected, and then determine the forward scattered light of the particles in the preset interference area Whether the pulse width is greater than the preset pulse width threshold. Or conversely, first determine whether the forward scattered light pulse width of the particles in the peripheral blood sample to be detected is greater than the preset pulse width threshold, and then determine whether the forward scattered light pulse width is greater than the preset pulse width threshold. The SS signal intensity and the FS signal intensity of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram.

In addition, before processing the optical signal information of the identified impurity particles, the whole blood sample analysis method 200 may further include:

After the impurity particles are identified, the number of real leukocyte particles and the number of impurity particles in the peripheral blood sample to be detected are determined;

When the number of real leukocyte particles and the number of impurity particles meet a preset condition, output prompt information that impurity particles are present in the peripheral blood sample to be detected.

In the embodiment of the present application, when the number of impurity particles is large, the prompt information of the presence of impurity particles in the peripheral blood sample to be detected, that is, an alarm, can be output. There are many ways to output the prompt information. For example, The display device of the blood sample analyzer outputs text prompt information and can also output voice prompt information. When the prompt information is output, it can also be combined with vibration, buzzer, etc. so that the inspector can obtain the prompt information in time.

Further, while outputting the prompt information of the presence of impurity particles in the peripheral blood sample to be detected, it is possible to output a prompt whether to process the impurity particles, and the user decides whether to process the impurity particles. The prompt information can be output on the display device of the whole blood sample analyzer, for example, and the content can be "The sample is a peripheral blood sample, and there may be impurities, whether the impurity particles are identified and processed", and displayed in the whole blood sample analyzer The display device provides a button control that can select "Yes" or "No".

Therefore, in this embodiment, only when the number of impurity particles is large, the prompt information of the presence of impurity particles is output and the impurity particles are further processed, and when the number of impurity particles is small, no processing is performed. While ensuring the accuracy of detection results, it can also improve detection efficiency.

In other embodiments, before impurity identification is performed on the peripheral blood sample, the method may further include determining whether impurity identification is required. For example, a switch device is provided on the whole blood sample analyzer 100 to turn on or off the function of identifying and processing impurities. The switch device may be, for example, a physical button on the whole blood sample analyzer 100 or a virtual button on its display device. The switch device can be turned on or off by default, or it can be manually set on or off by the operator. Of course, the switch device can also be turned on or off according to the sample type of the whole blood sample, for example, it is only turned on in the peripheral blood mode and turned off in other collection modes.

Since routine blood examination is one of the clinical diagnostic examination items, it plays an important role in the diagnosis and treatment of diseases. By detecting blood cells to obtain indicators of the patient’s cell number, morphology, and distribution, the patient’s physical health and the degree of disease deterioration can be understood, and various blood diseases can be effectively judged. The treatment plan for the patient is more accurate and effective, so the blood analysis results are accurate Sex is very important for patients and doctors. The method provided in the embodiments of the present application can effectively remove the influence of the impurity particles on the white blood cell classification and counting of the blood cell analyzer during the peripheral blood collection process, thereby improving the accuracy of the blood analysis result.

The embodiment of the application further provides a whole blood sample analysis method, which is applied to a whole blood sample analyzer. The whole blood sample analysis method can analyze venous blood samples and peripheral blood samples. FIG. 15 is a schematic flowchart of a second implementation manner of a whole blood analysis method 300 according to an embodiment of this application. As shown in FIG. 15, the method 300 includes:

Step S301: Obtain optical signal information of the whole blood sample processed by the reagent, where the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal.

For the reagent processing method, refer to the above description of the first implementation of the whole blood sample analysis method of the embodiment of the present application.

Step S302: Obtain the sample type of the whole blood sample to be tested.

Here, when step S302 is implemented, the identification part on the container containing the whole blood sample to be tested may be scanned to obtain the sample type of the whole blood sample to be tested.

In this embodiment, the identification part of the container may be, for example, a barcode attached to the container. During sample analysis and testing, some relevant information of the whole blood sample can be obtained by scanning the barcode, such as the name, age, gender, test items, and the sample type of the whole blood sample to be tested.

Of course, it is also conceivable that when step S302 is implemented, it is determined whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method according to the mode selection information input by the user. For example, the whole blood sample analyzer may include a mode selection part configured to select a mode for detecting a peripheral blood sample or a venous blood sample and output the mode information to the processor. The processor obtains the mode information from the mode selection part to determine the sample type of the whole blood sample to be tested.

In the embodiment of the present application, the sample type of the whole blood sample to be tested includes at least a first sample type and a second sample type, where the first sample type may be a peripheral blood type, especially a peripheral blood sample collected by a scraping method. Blood type, the second sample type may be a venous blood type.

Step S303: Determine whether the sample type of the whole blood sample to be tested is the first sample type.

Here, when the type of the whole blood sample to be tested is the first sample type, step S304 is entered. When the type of the whole blood sample to be tested is not the first sample type, that is, the second sample type, then step S304 is entered. S305.

Step S304: When the sample type of the whole blood sample to be detected is the first sample type, use the optical signal information to classify and count the particles of the whole blood sample to be detected under the first classification and counting algorithm.

Step S305: When the sample type of the whole blood sample to be detected is the second sample type, use the optical signal information to classify and count the particles of the whole blood sample to be detected under a second classification and counting algorithm.

The first classification counting algorithm is different from the second classification counting algorithm.

In the above solution, the first classification and counting algorithm and the second classification and counting algorithm may be related to the interference of impurity particles in the whole blood sample. In the embodiment of the present application, the first sample type may be a peripheral blood type. For a whole blood sample of a peripheral blood type, since the fingertips of the examinee are repeatedly squeezed and scraped during the blood sampling process, it is easy to The collected whole blood samples are mixed with skin keratinocyte fragments, and skin keratinocyte fragments will affect the results of sample analysis. Therefore, when it is determined in step S303 that the sample type of the whole blood sample to be tested is a peripheral blood type, the peripheral blood sample can be subjected to impurity particle identification processing according to the whole blood sample analysis method 200 of the foregoing embodiment of the present application. For non-peripheral blood samples, for example, for venous blood samples, the blood sampling needle is directly inserted into the vein when collecting venous blood, and skin impurities will not be mixed in. Therefore, it is used for whole blood samples of venous blood. When particles are classified and counted, there is no need to identify and process foreign particles. It should be noted here that this embodiment is implemented in the white blood cell detection channel of the whole blood sample analyzer.

In other embodiments, for example, for the RET (reticulocyte) detection channel of a whole blood sample analyzer, the first classification and counting algorithm and the second classification and counting algorithm may also be combined with the red blood cells in the whole blood sample. Platelet (PLT) cell population segmentation algorithm is related.

Figure 16A and Figure 16B are FL-FS scatter diagrams of red blood cells and platelets in venous blood and peripheral blood, respectively. From Figure 16A and Figure 16B, it can be seen that for venous blood and peripheral blood, the morphology and distribution of red blood cells and the distribution of platelets It is different, especially the distribution of platelets in the direction of fluorescence is different, so it needs to be used when classifying and counting reticulocytes (low fluorescence, medium fluorescence, and high fluorescence reticulocytes) in the red blood cells of venous blood and peripheral blood. Different algorithms and IPF (immature platelets) in PLT of venous blood and peripheral blood also need to adopt different algorithms to ensure accuracy.

Step S306: Output the classification and counting result of the whole blood sample to be tested.

In the whole blood sample analysis method provided by the embodiment of the present application, before the particles of the whole blood sample are classified and counted, the sample type of the whole blood sample to be tested is determined first, and then the whole blood sample type is different in different whole blood sample types. Under the counting algorithm, the particles of the whole blood sample are classified and counted, so as to obtain the classified counting result of the whole blood sample to be tested. In this way, different processing can be performed according to the characteristics of the whole blood samples of different sample types, thereby ensuring the accuracy of the detection results.

The embodiment of the application further provides a whole blood sample analysis device. FIG. 17 is a schematic structural diagram of the whole blood sample analysis device 1000 according to the embodiment of the application. The analysis device 1000 includes at least one processor 1001 and a memory 1002, and the memory 1002 stores An instruction executable by the at least one processor 1001, when the instruction is executed by the at least one processor 1001, the whole blood sample analysis method described above.

In addition, the analysis device 1000 may further include at least one network interface 1004 and a user interface 1003. The components in the whole blood sample analysis device 1000 are coupled together through the bus system 1005. It can be understood that the bus system 1005 is used to implement connection and communication between these components. In addition to the data bus, the bus system 1005 also includes a power bus, a control bus, and a status signal bus. However, for clarity of description, various buses are marked as the bus system 1005 in FIG. 17.

Wherein, the user interface 1003 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch panel, or a touch screen.

It is understood that the memory 1002 may be a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memory. Among them, the non-volatile memory can be a read only memory (ROM, Read Only Memory), a programmable read only memory (PROM, Programmable Read-Only Memory), an erasable programmable read only memory (EPROM, Erasable Programmable Read- Only Memory, Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), magnetic random access memory (FRAM, ferromagnetic random access memory), flash memory (Flash Memory), magnetic surface memory , CD-ROM, or CD-ROM (Compact Disc Read-Only Memory); magnetic surface memory can be magnetic disk storage or tape storage. The volatile memory may be random access memory (RAM, Random Access Memory), which is used as an external cache. By way of exemplary but not restrictive description, many forms of RAM are available, such as static random access memory (SRAM, Static Random Access Memory), synchronous static random access memory (SSRAM, Synchronous Static Random Access Memory), and dynamic random access Memory (DRAM, Dynamic Random Access Memory), Synchronous Dynamic Random Access Memory (SDRAM, Synchronous Dynamic Random Access Memory), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM, Double Data Rate Synchronous Dynamic Random Access Memory), enhanced -Type synchronous dynamic random access memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), synchronous connection dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, Direct Rambus Random Access Memory) ). The memory 602 described in the embodiments of this application is intended to include these and any other suitable types of memory.

The memory 1002 includes, but is not limited to: a tri-state content-addressable memory and a static random access memory capable of storing various types of data such as received sensor signals to support the operation of the whole blood sample analysis device 1000.

The processor 1001 can be a central processing unit (Central Processing Unit, CPU, or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (ASICs), ready-made programmable Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor Wait.

In addition, the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores executable instructions, and when the executable instructions are executed by the processor 1001, each step of the foregoing whole blood sample analysis method is implemented. The computer-readable storage medium may be the aforementioned memory or a component thereof, in which the computer program is stored and executed by the processor 1001 to complete the aforementioned method steps. The computer-readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM, etc., and may also be various devices including one or any combination of the foregoing storage media.

It should be understood that the features, structures and advantages mentioned in the specification, claims and drawings, as long as they are meaningful within the scope of this application, can be combined with each other arbitrarily. The features, structures, and advantages described for the method of the present application are applicable to the whole blood sample analyzer and the whole blood sample analysis device of the present invention in a corresponding manner, and vice versa. It should be understood that, in the various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, rather than corresponding to the embodiments of the present application. The implementation process constitutes any limitation. The serial numbers of the foregoing embodiments of the present application are for description only, and do not represent the superiority of the embodiments.

It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, It also includes other elements not explicitly listed, or elements inherent to the process, method, article, or device. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article or device that includes the element.

In the several embodiments provided in this application, it should be understood that the disclosed device and method may be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be electrical, mechanical or other forms of.

The units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, the functional units in the embodiments of the present application can all be integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit; The unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.

The above are only the implementation manners of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Covered in the scope of protection of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims (26)

1. A whole blood sample analyzer that can be used for analyzing peripheral blood samples, wherein the whole blood sample analyzer includes:

   A sampling device having a pipette with a pipette nozzle and a driving device for driving the pipette to quantitatively suck the peripheral blood sample collected by the blood scraping method through the pipette nozzle;

   The reaction device has a reaction tank and a liquid supply part, wherein the reaction tank is used to receive a peripheral blood sample sucked by the sampling device, and the liquid supply part provides reagents to the reaction tank so that the sampling device sucks The peripheral blood sample reacts with the reagent provided by the liquid supply part in the reaction tank to prepare a peripheral blood sample to be tested;

   The optical detection device has a light source, a flow chamber and a light collector, wherein the particles of the peripheral blood sample after the reagent treatment can flow in the flow chamber, and the light emitted by the light source irradiates the particles in the flow chamber to Generating optical signal information, and the light collector is used to collect the optical signal information, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

   A conveying device for conveying the peripheral blood sample to be tested after the reagent treatment in the reaction tank to the optical detection device;

   A processor, configured to: obtain the optical signal information from the optical detection device; and identify, according to the optical signal information, impurities in the peripheral blood sample to be detected due to the use of blood scraping to collect the peripheral blood sample Particles; processing the optical signal information of the identified impurity particles; classifying and counting the particles in the peripheral blood sample to be detected according to the optical signal information after the impurity particle processing; and outputting the information of the peripheral blood sample to be detected Classification count result.
2. The whole blood sample analyzer according to claim 1, wherein the impurity particles are skin keratinocyte fragments caused by collecting peripheral blood samples by scraping.
3. The whole blood sample analyzer according to claim 1 or 2, wherein the processor is configured to, when performing the step of identifying foreign particles in the peripheral blood sample to be detected according to the optical signal information, Perform the following steps:

   Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

   Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram;

   Identify the particles in the preset interference region as impurity particles.
4. The whole blood sample analyzer according to claim 3, wherein the preset interference area is a predetermined fixed area, especially based on the forward scattering of the normal whole blood sample and the particles that interfere with the peripheral blood sample The fixed area determined by the light signal and the side scattered light signal scatter diagram; or the preset interference area is based on the distribution of the forward scattered light signal and the side scattered light signal of all particles in the peripheral blood sample to be detected To determine dynamically.
5. The whole blood sample analyzer according to claim 3 or 4, wherein the predetermined interference area is in a scatter diagram with the forward scattered light signal as the ordinate and the side scattered light signal as the abscissa. Between the lymphocyte population and the eosinophil population and/or at the upper right of the neutrophil population.
6. The whole blood sample analyzer according to claim 1, wherein the processor is configured to perform the following when performing the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information step:

   Determining whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

   The particles whose forward scattered light pulse width is greater than the preset pulse width threshold are identified as impurity particles.
7. The whole blood sample analyzer according to claim 6, wherein the preset pulse width threshold is a preset fixed threshold, especially according to the forward direction of the normal whole blood sample and the particles that interfere with the peripheral blood sample. A fixed threshold determined by the scattered light pulse width distribution; or the preset pulse width threshold is dynamically determined according to the average value of the forward scattered light pulse widths of all particles in the peripheral blood sample to be detected.
8. The whole blood sample analyzer according to claim 1, wherein the processor is configured to perform the following when performing the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information step:

   Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

   Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram and judging whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

   Identifying particles that are in the preset interference region and whose forward scattered light pulse width is greater than a preset pulse width threshold value are impurity particles.
9. The whole blood sample analyzer according to any one of claims 1 to 8, wherein the processor executes the following steps when processing the optical signal information of the identified impurity particles:

   Remove the optical signal information of the impurity particles; or set the impurity particles as ghost particles; or display the impurity particles in a different color from other particles; or output the information of the impurity particles in the whole blood sample to be detected Prompt information and/or output prompts whether to deal with impurity particles.
10. The whole blood sample analyzer according to any one of claims 1 to 9, wherein the processor is further configured to perform the following steps:

    After the impurity particles are identified, the number of real leukocyte particles and the number of impurity particles in the peripheral blood sample to be detected are determined;

    When the number of real white blood cell particles and the number of impurity particles meet a preset condition, output prompt information that impurity particles are present in the whole blood sample to be tested and/or output a prompt whether to process impurity particles.
11. The whole blood sample analyzer according to any one of claims 1 to 10, wherein the whole blood sample analyzer further comprises a display device configured to receive from the processor and display the to-be-detected The classification and counting result of the peripheral blood sample and/or a scatter chart composed of at least two of the optical signal information.
12. A whole blood sample analyzer capable of analyzing venous blood samples and peripheral blood samples, wherein the whole blood sample analyzer includes:

    A sampling device having a pipette with a pipette nozzle and a driving device for driving the pipette to quantitatively suck whole blood samples through the pipette nozzle;

    The reaction device has a reaction tank and a liquid supply part, wherein the reaction tank is used to receive the whole blood sample sucked by the sampling device, and the liquid supply part provides reagents to the reaction tank so that the sampling device sucks The whole blood sample reacts with the reagent provided by the liquid supply part in the reaction tank to prepare a whole blood sample to be tested;

    The optical detection device has a light source, a flow chamber, and a light collector. The particles of the whole blood sample after the reagent treatment can flow in the flow chamber, and the light emitted by the light source irradiates the particles in the flow chamber to Generating optical signal information, and the light collector is used to collect the optical signal information, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

    A conveying device for conveying the whole blood sample to be tested that has been processed with reagents in the reaction tank to the optical detection device;

    The processor is configured to: obtain the optical signal information from the optical detection device; determine whether the whole blood sample to be tested is a peripheral blood sample collected by a curettage method; when the whole blood sample to be tested is a peripheral blood sample When the peripheral blood sample is collected by the scraping method, the impurity particles in the whole blood sample to be detected due to the peripheral blood sample being collected by the scraping method are identified according to the optical signal information; Signal information is processed; the particles in the whole blood sample to be detected are classified and counted according to the optical signal information after the processing of impurity particles; and the classified and counted result of the whole blood sample to be detected is output.
13. The whole blood sample analyzer according to claim 12, wherein the impurity particles are skin keratinocyte fragments caused by collecting peripheral blood samples by scraping.
14. The whole blood sample analyzer according to claim 12 or 13, wherein the whole blood sample analyzer includes a mode selection unit configured to select a mode for detecting a peripheral blood sample or a venous blood sample and output the mode information To the processor;

    The processor obtains mode information from the mode selection unit to determine whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method.
15. A whole blood sample analysis method that can be used to analyze peripheral blood samples, characterized in that the method includes:

    Obtain the optical signal information of the peripheral blood sample to be detected after being processed by the reagent, where the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal, wherein the peripheral blood The sample is collected by scraping;

    Identifying, according to the optical signal information, the impurity particles in the peripheral blood sample to be detected due to the collection of the peripheral blood sample by scraping;

    Process the optical signal information of the identified impurity particles;

    Classify and count the particles in the peripheral blood sample to be detected according to the optical signal information after the impurity particle processing; and

    Output the classified counting result of the peripheral blood sample to be detected.
16. The method according to claim 15, wherein the impurity particles are skin keratinocyte fragments caused by collecting peripheral blood samples by scraping.
17. The method according to claim 15 or 16, wherein the step of identifying foreign particles in the peripheral blood sample to be detected according to the optical signal information comprises:

    Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

    Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram;

    Identifying particles in the preset interference region as impurity particles;

    Preferably, the preset interference area is a preset fixed area, especially based on the forward scattered light signal and the side scattered light signal of each particle that interferes with the normal whole blood sample and the peripheral blood sample after being processed by the reagent. The fixed area determined by the dot map; or the preset interference area is dynamically determined according to the distribution of forward scattered light signals and side scattered light signals of all particles in the peripheral blood sample to be detected.
18. The method according to claim 17, wherein the predetermined interference area is located between the lymphocyte population and the eosinophil population in the scatter diagram of the forward scattered light signal and the side scattered light signal and/ Or at the top right of the neutrophil population.
19. The method according to claim 15, wherein the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information comprises:

    Determining whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

    Identify particles with forward scattered light pulse width greater than the preset pulse width threshold as impurity particles;

    Preferably, the preset pulse width threshold is a preset fixed threshold, especially a fixed threshold determined based on the forward scattered light pulse width distribution of the normal whole blood sample and the particles that interfere with the peripheral blood sample; or The preset pulse width threshold is dynamically determined according to the average value of the forward scattered light pulse width of all particles in the peripheral blood sample to be detected.
20. The method according to claim 15, wherein the step of identifying impurity particles in the peripheral blood sample to be detected according to the optical signal information comprises:

    Generating a scatter plot based on the forward scattered light signal and the side scattered light signal in the optical signal information;

    Judging whether the particles of the peripheral blood sample to be detected are in the preset interference area of the scatter diagram and judging whether the forward scattered light pulse width of the particles of the peripheral blood sample to be detected is greater than a preset pulse width threshold;

    Identifying particles that are in the preset interference region and whose forward scattered light pulse width is greater than a preset pulse width threshold value are impurity particles.
21. The method according to any one of claims 15 to 20, wherein the step of processing the optical signal information of the identified impurity particles comprises:

    Remove the optical signal information of the impurity particles; or set the impurity particles as ghost particles; or display the impurity particles in a different color from other particles; or output the information of the impurity particles in the whole blood sample to be detected Prompt information and/or output prompts whether to deal with impurity particles.
22. The method according to any one of claims 15 to 21, wherein the method further comprises:

    After the impurity particles are identified, the number of real leukocyte particles and the number of impurity particles in the peripheral blood sample to be detected are determined;

    When the number of real white blood cell particles and the number of impurity particles meet a preset condition, output prompt information that impurity particles are present in the whole blood sample to be detected and/or output a prompt whether to process impurity particles.
23. A whole blood sample analysis method capable of analyzing venous blood samples and peripheral blood samples, characterized in that the method includes:

    Acquiring optical signal information of the whole blood sample to be detected after being processed by the reagent, wherein the optical signal information includes at least two of a forward scattered light signal, a side scattered light signal, and a fluorescent signal;

    Determining whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method;

    When the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method, the method according to any one of claims 15 to 22 is implemented.
24. The method according to claim 23, wherein the step of determining whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method comprises:

    According to the mode selection information input by the user, it is determined whether the whole blood sample to be tested is a peripheral blood sample collected by a blood scraping method.
25. A whole blood sample analysis device applied to a whole blood sample analyzer, characterized in that the whole blood sample analysis device includes:

    Memory, configured to store executable instructions;

    The processor is configured to execute the whole blood sample analysis method according to any one of claims 15 to 24 when running the executable instructions stored in the memory.
26. A computer-readable storage medium storing executable instructions, wherein the computer-readable storage medium is configured to cause a processor to execute the executable instructions to implement all of the instructions in any one of claims 15 to 24 Blood sample analysis method.

Images