Cell analysis method for sample liquid and sample liquid analyzer

Abstract

The invention discloses a cell analysis method of sample liquid and a sample liquid analyzer. The method comprises the following steps: acquiring a lateral scattering light signal and a fluorescence signal of a sample solution; generating a scatter diagram based on the lateral scattered light signal and the fluorescence signal; determining a neutrophile granulocyte group-containing region and a lymphocyte group-containing region of the scatter diagram; determining a target area which at least meets the following conditions: the fluorescence intensity corresponding to the central position of the target area is higher than the fluorescence intensity corresponding to the center of the neutrophil-containing population area, and the lateral scattering light intensity corresponding to the central position of the target area is higher than the lateral scattering light intensity corresponding to the central position of the lymphocyte population area; and acquiring juvenile granulocyte parameters of the sample liquid based on the target area. In this way, the parameters of the immature granulocytes in the sample liquid can be detected.

Description

Technical Field

[0001] The present application relates to the technical field of cell analysis, and in particular to a cell analysis method of a sample liquid and a sample liquid analyzer. Background Art

[0002] In the process of routine blood tests, in addition to red blood cells, white blood cells, and platelets, the parameters of immature granulocytes also have important reference value for the clinical diagnosis of leukemia. The presence of immature granulocytes in peripheral blood is a potential important signal showing the proliferation of bone marrow.

[0003] Usually, the immature granulocytes are counted through microscopic examination, which involves observing the immature granulocytes in the sample fluid under a microscope. This requires high professional ability of the microscopist, is labor-intensive, time-consuming and labor-intensive. Summary of the invention

[0004] The main technical problem solved by the present application is to provide a cell analysis method and a sample analysis system for a sample liquid, which can detect the parameters of immature granulocytes in the sample liquid.

[0005] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide a cell analysis method for a sample liquid, the method comprising: obtaining a side scattered light signal and a fluorescence signal of the sample liquid; generating a scatter plot based on the side scattered light signal and the fluorescence signal; determining a neutrophil group-containing area and a lymphocyte group-containing area of ​​the scatter plot; determining a target area, the target area at least meeting the following conditions: the fluorescence intensity corresponding to the center position of the target area is higher than the fluorescence intensity corresponding to the center of the neutrophil group-containing area, and the side scattered light intensity corresponding to the center position of the target area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte group area; and obtaining immature granulocyte parameters of the sample liquid based on the target area.

[0006] In order to solve the above technical problems, the second technical solution adopted in the present application is: to provide a sample liquid analyzer, which includes: a sample liquid detection component, a processing circuit and a memory; the sample liquid detection component is used to detect the side scattered light signal and fluorescence signal of the sample liquid, the processing circuit and the memory are coupled, the processing circuit is coupled to the sample liquid detection component, the memory is used to store computer programs, and the processing circuit is used to read and execute computer programs to implement the method as described in the first technical solution above.

[0007] The beneficial effect of the present application is as follows: different from the prior art, by acquiring the side scattered light signal and the fluorescence signal of the sample liquid, a scatter plot is generated based on the side scattered light signal and the fluorescence signal. Since the side scattered light intensity and the fluorescence intensity of neutrophils and lymphocytes are different, the neutrophil group area and the lymphocyte group area can be determined in the scatter plot. Since the fluorescence intensity of immature granulocytes is higher than the fluorescence intensity of neutrophils and the side scattered light intensity of immature granulocytes is higher than the side scattered light intensity of lymphocytes, it can be determined that the area where the fluorescence intensity corresponding to the center position of the first area is higher than the fluorescence intensity corresponding to the center position of the area containing the neutrophil group and the side scattered light intensity corresponding to the center position of the first area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte group area is the target area, that is, the immature granulocyte group area. Based on the target area, the immature granulocyte parameters in the sample liquid can be obtained, so that the content of immature granulocytes in the blood sample can be detected, and then it can be determined whether the blood has a lesion. In addition, by acquiring the side scattered light signal and fluorescence signal of the sample liquid, the parameters of the immature granulocytes in the sample liquid can be obtained, saving the detection cost and improving the efficiency of cell analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a structural schematic diagram of an embodiment of a sample liquid analyzer of the present application;

[0009] Figure 2 It is a schematic diagram of the process of an embodiment of the cell analysis method of the present application;

[0010] Figure 3 It is a two-dimensional scatter plot of the sample solution in the embodiment of the cell analysis method of the present application. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0012] In the process of routine blood tests, in addition to red blood cells, white blood cells, and platelets, the parameters of immature granulocytes also have important reference value for the clinical diagnosis of leukemia. The presence of immature granulocytes in peripheral blood is a potential important signal showing the proliferation of bone marrow.

[0013] After long-term research, the applicant found that currently, the immature granulocytes are usually counted by microscopic examination, and the immature granulocytes in the sample liquid are observed under a microscope, which requires high professional ability of the microscopic examiner, and has high labor intensity, time and labor. In order to improve or solve the above technical problems, the application proposes at least the following embodiments.

[0014] like Figure 1 As shown, the sample liquid analyzer 1 of the present application may include a sample liquid preparation device 14, a sample liquid detection component 11 and a processing circuit 12. Among them, the sample liquid preparation device 14 is used to prepare sample liquid. The sample liquid preparation device 14 is coupled to the sample liquid detection component 11 and the processing circuit 12. In the sample liquid preparation device 14, the blood sample can be mixed with some reagents to prepare a sample liquid, and then the sample liquid can be used to analyze the cells in the blood sample. For example, the cells are stained in the sample liquid preparation device 14, and since the adhesion conditions of various types of cells and dyes are different, various types of cells can be distinguished. The sample liquid detection component 11 can detect the side scattered light signal and the fluorescence signal of the sample liquid prepared by the sample liquid preparation device 14, and then the processing circuit 12 coupled to the sample liquid detection component 11 can process the side scattered light signal and the fluorescence signal sent by the sample liquid detection component 11. Among them, the sample liquid analyzer 1 also includes a memory 13 for storing a computer program, so that the processing circuit 12 reads and executes the computer program stored in the memory 13 to realize the analysis of the sample liquid. Furthermore, the sample liquid analyzer 1 may also include a display device 15 for displaying the sample analysis result obtained by the processing circuit 12 .

[0015] Among them, the memory 13 is used to store computer programs, which can be ROM (Read-Only Memory), RAM (Random Access Memory), or other types of storage devices. Specifically, the memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory is used to store at least one program code.

[0016] The processing circuit 12 is used to control the operation of the sample liquid analyzer 1. The processing circuit 12 can also be called a CPU (Central Processing Unit). The processing circuit 12 may be an integrated circuit chip with signal processing capabilities. The processing circuit 12 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processing circuit 12 can also be any conventional processor, etc.

[0017] like Figure 2 As shown, the cell analysis method embodiment of the sample liquid of the present application can be performed by the processing circuit 12 of the sample analysis system, and the cell analysis method described therein may include: S100: acquiring the side scattered light signal and the fluorescence signal of the sample liquid; S200: generating a scatter plot based on the side scattered light signal and the fluorescence signal; S300: determining the neutrophil group-containing area and the lymphocyte group area of ​​the scatter plot; S400: determining the area as the target area in which the fluorescence intensity corresponding to the center position of the first area is higher than the fluorescence intensity corresponding to the center position of the area containing the neutrophil group, and the side scattered light intensity corresponding to the center position of the first area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte group area; S500: acquiring the immature granulocyte parameters of the sample liquid based on the target area.

[0018] By acquiring the side scattered light signal and the fluorescence signal of the sample liquid, a scatter plot is generated based on the side scattered light signal and the fluorescence signal. Since the side scattered light intensity and the fluorescence intensity of the neutrophil and lymphocyte are different, the neutrophil group area and the lymphocyte group area can be determined in the scatter plot. Since the fluorescence intensity of the immature granulocytes is higher than the fluorescence intensity of the neutrophil group and the side scattered light intensity of the immature granulocytes is higher than the side scattered light intensity of the lymphocytes, the area where the fluorescence intensity corresponding to the center of the first area is higher than the fluorescence intensity corresponding to the center of the neutrophil group area and the side scattered light intensity corresponding to the center of the first area is higher than the side scattered light intensity corresponding to the center of the lymphocyte group area can be determined as the target area, that is, the immature granulocyte group area. Based on the target area, the immature granulocyte parameters in the sample liquid can be obtained, so that the content of immature granulocytes in the blood sample can be detected, and then it can be determined whether the blood has a lesion. In addition, by acquiring the side scattered light signal and the fluorescence signal of the sample liquid, the immature granulocyte parameters in the sample liquid can be obtained, saving detection costs and improving the efficiency of cell analysis.

[0019] For details, please refer to the detailed description of the example of the cell analysis method of the sample solution of the present application as follows.

[0020] S100: Acquire the side scattered light signal and fluorescence signal of the sample liquid.

[0021] The sample liquid detection component 11 can detect the sample liquid to obtain optical signals, such as side scattered light signals and fluorescence signals. In some embodiments, the sample liquid detection component 11 may include a light source, a flow chamber and an optical detector. The light source is used to emit a light beam to illuminate the flow chamber, the flow chamber is connected to the sample liquid preparation device 14, and each particle in the sample liquid can pass through the flow chamber one by one. For example, the sample liquid detection component 11 includes a light source, a beam shaping component and a flow chamber arranged in a straight line in sequence. A dichroic mirror is arranged obliquely on one side of the flow chamber. A part of the lateral light emitted by the cells in the flow chamber passes through the dichroic mirror and is captured by a fluorescence detector arranged obliquely with the dichroic mirror behind the dichroic mirror, thereby obtaining a fluorescence signal. Another part of the lateral light is reflected by the dichroic mirror and captured by a side scattered light detector arranged obliquely with the dichroic mirror before the dichroic mirror, thereby obtaining a side scattered light signal.

[0022] After the sample liquid detection component 11 detects the sample liquid, the obtained optical signal can be sent to the processing circuit 12. The processing circuit 12 can obtain the side scattered light signal and the fluorescence signal of the sample liquid, so as to generate a scatter plot using the side scattered light signal and the fluorescence signal, thereby obtaining whether there are immature granulocytes in the sample liquid. Please refer to the following steps included after S100:

[0023] S200: Generate a scatter plot based on the side scattered light signal and the fluorescence signal.

[0024] The processing circuit 12 generates a scatter plot based on the side scattered light signals and fluorescence signals of each particle, so that the parameters of the immature granulocytes can be detected based on the scatter plot. The scatter plot may refer to a set of side scattered light signals and fluorescence signals of each cell particle, and the scatter plot may be a two-dimensional scatter plot. Cells mapped to the scatter plot are called particles. Since the light signal characteristics of the same type of cells are similar, the same type of cells are clustered and distributed in the scatter plot, which is called a particle group.

[0025] After the processing circuit 12 generates a scatter plot based on the side scattered light signal and the fluorescence signal, the immature granulocyte parameter can be determined through the scatter plot, as shown in the following steps after S200:

[0026] S300: Determine the neutrophil population area and lymphocyte population area of ​​the scatter plot.

[0027] After generating a scatter plot based on the side scattered light signals and fluorescence signals of each particle, the particle group can be determined to which type of cell group region the particle group belongs according to the distribution of the particle group in the scatter plot. In order to obtain the parameters of the immature granulocyte group in the sample liquid, since the positions of the neutrophil group and the lymphocyte group in the scatter plot are relatively stable, the processing circuit 12 can determine the neutrophil group region 30 and the lymphocyte group region 40 through the scatter plot. Figure 3 As shown, the lymphocyte population region 40 is to the left of the neutrophil population region 30 .

[0028] After the processing circuit 12 determines the neutrophil group area 30 and the lymphocyte group area 40 in the scatter plot, the area where the primitive cells are located can be determined by using the neutrophil group area 30 and the lymphocyte group area 40, as shown in the following steps after S300:

[0029] S400: Determine a target area, where the target area at least satisfies the following conditions: the fluorescence intensity corresponding to the center position of the target area is higher than the fluorescence intensity corresponding to the center position of the neutrophil group area, and the side scattered light intensity corresponding to the center position of the target area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte group area.

[0030] S500: Obtaining immature granulocyte parameters of the sample fluid based on the target area.

[0031] In this embodiment, after determining the neutrophil group area 30 and the lymphocyte group area 40 of the scatter plot, it can be determined in the scatter plot that the fluorescence intensity corresponding to the center position of a certain area is higher than the fluorescence intensity corresponding to the center of the neutrophil group area 30, and the side scattered light intensity corresponding to the center position of the area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte group area 40, then the area is determined to be the target area 20. Since the fluorescence intensity of immature granulocytes is higher than the fluorescence intensity of neutrophils, and the side scattered light intensity of immature granulocytes is higher than the side scattered light intensity of lymphocytes, the immature granulocyte parameters in the sample liquid can be obtained through the target area 20. In this way, the position of the target area 20 can be dynamically adjusted according to certain rules with the position of the neutrophil group area 30 and the position of the lymphocyte group area 40, and the position of the target area 20 obtained is floating. For example, refer to Figure 3 In the fluorescence intensity-side scattered light intensity scatter plot, the target region 20 is located above the neutrophil group region 30 and the lymphocyte group region 40. It is understandable that, since the scatter plot may be rotated and flipped, that is, in the side scattered light intensity-fluorescence intensity scatter plot, the target region 20 is located to the right of the neutrophil group region 30 and the lymphocyte group region 40. The target region 20 may be circular, rectangular, elliptical or other suitable shapes.

[0032] In some embodiments, the position of the target area 20 can be determined by predetermining the intensity of the fluorescent signal and the intensity of the side scattered light signal corresponding to the target area 20. In other words, the position of the target area 20 can be determined.

[0033] By obtaining the immature granulocyte parameters, the content of immature granulocytes in the sample fluid can be detected, and then it can be determined whether the blood sample has a disease.

[0034] Optionally, after obtaining the immature granulocyte parameters in the sample liquid, it is possible to determine whether the sample liquid is abnormal by using the immature granulocyte parameters. For details, please refer to the following steps after S500:

[0035] S510: Determine whether to alarm based on the immature granulocyte parameter.

[0036] Immature granulocytes will not appear in normal peripheral blood samples. After the sample liquid analyzer 1 detects the immature granulocyte parameters in the sample liquid, it can determine whether to issue an alarm message based on the immature granulocyte parameters to inform the user that the immature granulocytes in the detected sample are abnormal. In this embodiment, a text alarm prompt, a sound alarm prompt, a light alarm prompt, a pop-up window alarm, or an external prompt through a communication network can be displayed on the display device 15 of the sample liquid analyzer 1 regarding the abnormal immature granulocytes.

[0037] In one implementation, whether to alarm can be determined by determining the number of immature granulocytes to inform whether the sample fluid is abnormal. For details, see the following steps included in S510:

[0038] S511: Determine whether the number of immature granulocytes is greater than a first preset threshold.

[0039] S512: If yes, generate an alarm message.

[0040] The immature granulocyte parameter may include the number of immature granulocytes. After the processing circuit 12 determines the immature granulocyte parameter based on the target area 20, it can determine whether the number of immature granulocytes in the sample liquid is greater than a first preset threshold. If it is determined that the number of immature granulocytes is greater than the first preset threshold, an alarm message is generated to inform that the immature granulocytes in the sample liquid detected are abnormal.

[0041] The first preset threshold may be an empirical value obtained from experimental statistics, or may be adjusted according to actual conditions.

[0042] Furthermore, the processing circuit 12 can determine the particle concentration of the immature granulocytes according to the number of the immature granulocytes, and thus can determine whether the immature granulocytes are abnormal according to whether the particle concentration is greater than a preset threshold.

[0043] In another implementation, it is possible to determine whether an alarm is required by determining the ratio of the number of immature granulocytes to the number of white blood cells, so as to inform whether the sample liquid is abnormal. For details, see the following steps after S500:

[0044] S520: Determine whether the ratio is greater than a second preset threshold.

[0045] S521: If yes, generate an alarm message.

[0046] The immature granulocyte parameter may include a ratio of the number of immature granulocytes to the number of white blood cells. After the processing circuit 12 determines the immature granulocyte parameter based on the target area 20, it can determine whether the number of immature granulocytes and the number of white blood cells in the sample liquid are greater than the second preset threshold. If it is determined that the number of immature granulocytes and the number of white blood cells in the sample liquid are greater than the second preset threshold, an alarm message is generated to inform that the immature granulocytes in the sample liquid under test are abnormal. If it is determined that the number of immature granulocytes and the number of white blood cells in the sample liquid are not greater than the second preset threshold, it means that the sample liquid is normal, and detection information can be generated to inform the user that the sample liquid under test is normal.

[0047] The second preset threshold may be an empirical value obtained from experimental statistics, or may be adjusted according to actual conditions.

[0048] By determining whether to sound an alarm based on immature granulocyte parameters, a prompt can be issued when a blood sample is abnormal so that the user can quickly and conveniently obtain the condition of the sample fluid.

[0049] Optionally, after the sample liquid is subjected to fluorescence treatment, the situation of primitive cells in the sample liquid can also be obtained. Analyzing the situation of primitive cells in the sample liquid is also of great significance in clinical diagnosis and treatment. For example, primitive cells are an important marker for diagnosing leukemia. For details on how to obtain the situation of primitive cells in the sample liquid based on the scatter plot, please refer to the following steps included after S300:

[0050] S310: Determine a feature area.

[0051] In this embodiment, the characteristic region at least satisfies the following condition: the fluorescence intensity corresponding to the center position of the characteristic region is higher than the fluorescence intensity corresponding to the center of the region containing the neutrophil group.

[0052] S320: Obtaining original cell parameters in the sample liquid based on the characteristic region.

[0053] The center position of the target area is different from the center position of the feature area.

[0054] In this embodiment, the characteristic region 10 can be determined by the region 30 containing the neutrophil group, so that the primitive cell parameters in the sample liquid can be obtained based on the characteristic region 10. After determining the scatter plot, the processing circuit 12 can determine that the second region whose fluorescence intensity corresponding to the center position of the region is higher than the fluorescence intensity corresponding to the center of the region 30 containing the neutrophil group is the characteristic region 10. For a normal sample liquid, no particle group will appear in the target region 20, but for an abnormal sample liquid containing primitive cells, there will be a particle group of primitive cells in the target region 20, so the primitive cell parameters can be obtained based on the characteristic region 10.

[0055] When determining the characteristic region 10, the neutrophil group may include a lymphocyte group, a neutrophil group, an eosinophil group, and a monocyte group. In other embodiments, the neutrophil group may not include a lymphocyte group, but only include a neutrophil group, an eosinophil group, and a monocyte group.

[0056] like Figure 3 As shown, in the fluorescence intensity-side scattered light intensity scatter plot, the characteristic region 10 is located above the neutrophil group-containing region 30. It can be understood that since the scatter plot may be rotated and flipped, that is, in the side scattered light intensity-fluorescence intensity scatter plot, the characteristic region 10 is located on the right side of the neutrophil group-containing region 30. The characteristic region 10 may be circular, rectangular, elliptical or other suitable shapes.

[0057] Optionally, the neutrophil group region 30 may include a monocyte group region 31. To further determine the range of the characteristic region 10, the monocyte group region 31 may be used to determine the characteristic region 10. In this embodiment, the characteristic region 10 may be determined by the monocyte group region 31 in the scatter plot. The fluorescence intensity at the center of the characteristic region 10 is higher than the fluorescence intensity corresponding to the center of the monocyte group region 31. In this way, after determining the characteristic region, the original cell parameters may be determined based on the characteristic region 10.

[0058] like Figure 3 As shown, in the fluorescence intensity-side scattered light intensity scatter plot, the characteristic region 10 is located above the monocyte population region 31. It can be understood that since the scatter plot may be rotated and flipped, that is, in the side scattered light intensity-fluorescence intensity scatter plot, the characteristic region 10 is located on the right side of the monocyte population region 31.

[0059] Similar to the target region 20, the position of the characteristic region 10 may also be floating, for example, the position of the characteristic region 10 may be dynamically adjusted according to certain rules along with the position of the monocyte population region 31 or the neutrophil population in the scattergram. The position of the characteristic region 10 may also be fixed, that is, the corresponding values ​​or ranges of the fluorescence intensity and the side scattered light intensity are predetermined.

[0060] Optionally, after obtaining the original cell parameters, the original cell parameters may be analyzed to determine whether an alarm message needs to be issued to inform the user that the sample liquid is abnormal. For details, see the following steps included in S320:

[0061] S321: Determine whether to alarm based on the original cell parameters.

[0062] Since primitive cells do not appear in normal sample fluid, the processing circuit 12 can determine whether to alarm according to the primitive cell parameters after obtaining the primitive cell parameters to inform the user that primitive cells exist in the sample fluid being tested. The alarm can be given in the form of text, sound, light or pop-up window.

[0063] Similar to determining whether the immature granulocytes in the sample fluid are abnormal, determining whether the primitive cells in the sample fluid are abnormal can also be done in the following two ways.

[0064] In one implementation, the number of primitive cells can be determined based on the primitive cell parameters to determine whether to alarm, so as to inform whether the sample liquid is abnormal. For details, see the following steps included in S321:

[0065] S322: Determine whether the number of primitive cells is greater than a third preset threshold.

[0066] S323: If yes, generate an alarm message.

[0067] The primitive cell parameter may include the number of primitive cells. After the processing circuit 12 determines the primitive cell parameter based on the characteristic region 10, it may determine whether the number of primitive cells in the sample liquid is greater than a third preset threshold. If it is determined that the number of primitive cells is greater than the third preset threshold, an alarm message is generated to inform that the primitive cells in the detected sample liquid are abnormal.

[0068] The third preset threshold may be an empirical value obtained from experimental statistics, or may be adjusted according to actual conditions.

[0069] Furthermore, the processing circuit 12 can determine the particle concentration of the primitive cells according to the number of the primitive cells, and thus can determine whether the primitive cells are abnormal according to whether the particle concentration is greater than a preset threshold.

[0070] In another implementation, whether an alarm is required can be determined based on the original cell parameter by judging the ratio of the number of original cells to the number of white blood cells to inform whether the sample liquid is abnormal. For details, see the following steps included in S321:

[0071] S324: Determine whether the ratio is greater than a fourth preset threshold.

[0072] S325: If yes, generate an alarm message.

[0073] The primitive cell parameter may include a ratio of the number of primitive cells to the number of white blood cells. After the processing circuit 12 determines the primitive cell parameter based on the characteristic region 10, it may determine whether the number of primitive cells and the number of white blood cells in the sample liquid are greater than a fourth preset threshold. If it is determined that the number of primitive cells and the number of white blood cells in the sample liquid are greater than the fourth preset threshold, an alarm message is generated to inform that the primitive cells in the detected sample liquid are abnormal. If it is determined that the number of primitive cells and the number of white blood cells in the sample liquid are not greater than the fourth preset threshold, it means that the sample liquid is normal, and detection information may be generated to inform the user that the detected sample liquid is normal.

[0074] The fourth preset threshold may be an empirical value obtained according to experimental statistics, or may be adjusted according to actual conditions.

[0075] The above descriptions are merely embodiments of the present application and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for analyzing cells in a sample solution, characterized in that: include: Acquiring a side scattered light signal and a fluorescence signal of the sample liquid; generating a scatter plot based on the side scattered light signal and the fluorescence signal; Determining the neutrophil population area and the lymphocyte population area of ​​the scatter plot; Determine a target area, wherein the target area at least satisfies the following conditions: the fluorescence intensity corresponding to the center position of the target area is higher than the fluorescence intensity corresponding to the center position of the neutrophil population area, and the side scattered light intensity corresponding to the center position of the target area is higher than the side scattered light intensity corresponding to the center position of the lymphocyte population area; The immature granulocyte parameter of the sample fluid is obtained based on the target area.

2. The method according to claim 1, characterized in that: After acquiring the immature granulocyte parameter of the sample fluid based on the target area, the method includes: Whether to alarm is determined based on the immature granulocyte parameters.

3. The method according to claim 2, characterized in that The immature granulocyte parameter includes the number of the immature granulocytes, and the determining whether to alarm based on the immature granulocyte parameter includes: Determining whether the number of the immature granulocytes is greater than a first preset threshold; If so, an alarm message is generated.

4. The method according to claim 2, characterized in that: The immature granulocyte parameter includes a ratio of the number of immature granulocytes to the number of white blood cells, and the determination of whether to alarm based on the immature granulocyte parameter includes: Determining whether the ratio is greater than a second preset threshold; If so, an alarm message is generated.

5. The method according to claim 1, characterized in that After determining the neutrophil group area and lymphocyte group area of ​​the scatter plot, the method further comprises: Determine a characteristic region, wherein the characteristic region at least satisfies the following conditions: the fluorescence intensity corresponding to the center position of the characteristic region is higher than the fluorescence intensity corresponding to the center of the region containing the neutrophil group; Acquiring original cell parameters in the sample liquid based on the characteristic region; The center position of the target area is different from the center position of the feature area.

6. The method according to claim 5, characterized in that The neutrophil group-containing region includes a monocyte group region, and the fluorescence intensity corresponding to the central position of the characteristic region is higher than the fluorescence intensity corresponding to the center of the monocyte group region.

7. The method according to claim 5, characterized in that The obtaining of the original cell parameters in the sample liquid based on the characteristic region includes: Whether to alarm is determined based on the original cell parameters.

8. The method according to claim 7, characterized in that The primitive cell parameter includes the number of the primitive cells, and judging whether to alarm based on the primitive cell parameter includes: Determining whether the number of the primitive cells is greater than a third preset threshold; If so, an alarm message is generated.

9. The method according to claim 7, characterized in that: The primitive cell parameter includes a ratio of the number of primitive cells to the number of white blood cells, and judging whether to alarm based on the primitive cell parameter includes: Determining whether the ratio is greater than a fourth preset threshold; If so, an alarm message is generated.

10. A sample liquid analyzer, characterized in that: include: A sample liquid detection component, used to detect side scattered light signals and fluorescence signals of the sample liquid; Processing circuits, memory; The processing circuit is coupled to the memory, the processing circuit is coupled to the sample liquid detection component, the memory is used to store a computer program, and the processing circuit is used to read and execute the computer program to implement the method according to any one of claims 1-9.

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