Blood cell analyzer and method for processing a red blood cell sample

Abstract

The application discloses a blood cell analyzer and a processing method of a red blood cell sample. In the blood cell analyzer, a control module grades the agglomeration degree of the red blood cell sample, and then processes the red blood cell sample according to the corresponding grade based on the agglomeration degree grade of the red blood cell sample, to obtain a detection result of the red blood cell sample. The control module can intelligently grade the agglomeration degree of the red blood cell sample, and process the red blood cell sample according to the corresponding grade based on the agglomeration degree grade of the red blood cell sample, so that the blood cell analyzer can automatically process the agglutinated red blood cell sample, the agglomeration effect of the red blood cell sample is reduced, the detection accuracy of the blood cell analyzer for the red blood cell sample is improved, the probability of missing detection in the manual report auditing process is reduced, the workload of manual disposal is reduced, time for accurately and quickly issuing a detection report is saved, and the user experience of the blood cell analyzer is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of red blood cell detection, in particular to a blood cell analyzer and a processing method of a red blood cell sample. BACKGROUND

[0002] The blood cell analyzer is a device for counting cells in a blood sample and obtaining related parameters of the cells in the blood sample. During the blood sample detection process, the red blood cells may aggregate due to pathological reasons of the blood sample itself, low ambient temperature (the blood sample contains cold agglutinins, which are autoimmune antibodies that can cause reversible red blood cell agglutination when acting on the red blood cell antigens at low temperatures), and the like.

[0003] After the red blood cells agglomerate, the red blood cell count is inaccurate, and the red blood cell count is low, and the parameters related to the red blood cells, such as the mean corpuscular volume and the mean corpuscular hemoglobin content, are also out of the normal range. In clinical practice, when such phenomena occur, the user needs to manually identify and process the samples with abnormal results, which is tedious and time-consuming. Moreover, since the samples are manually identified and processed, the problem of missing such abnormal samples often occurs, which leads to misjudgment in clinical practice. SUMMARY

[0004] To solve the above technical problems, the present application provides a blood cell analyzer, comprising:

[0005] An impedance detection module, configured to perform impedance detection on the red blood cell sample;

[0006] A control module, connected with the impedance detection module, configured to receive a first measurement parameter obtained by the impedance detection module after performing impedance detection on the red blood cell sample, and grade the agglomeration degree of the red blood cell sample based on the first measurement parameter;

[0007] A processing module, configured to perform deagglomeration processing on the red blood cell sample and / or correction processing on the first measurement parameter;

[0008] The control module is further connected with the processing module, and the control module is further configured to control the processing module to perform deagglomeration processing on the red blood cell sample based on the grade of the agglomeration degree of the red blood cell sample, and control the impedance detection module to recheck the red blood cell sample after the deagglomeration processing to obtain a detection result of the red blood cell sample; and / or, control the processing module to perform optical detection on the red blood cell sample to correct the first measurement parameter and obtain a detection result of the red blood cell sample.

[0009] The processing module comprises:

[0010] an incubation assembly for incubating the red blood cell sample for desaggregation treatment;

[0011] and / or, a dilution assembly for diluting the red blood cell sample for desaggregation treatment with a preset dilution ratio;

[0012] and / or, an optical detection assembly for optically detecting the red blood cell sample to correct the first measurement parameter.

[0013] The processing module comprises the incubation assembly, the dilution assembly and the optical detection assembly, and after the control module classifies the agglutination degree of the red blood cell sample according to the first measurement parameter, the control module is further configured to:

[0014] in response to the agglutination degree of the red blood cell sample being slight agglutination, controlling the optical detection assembly to optically detect the red blood cell sample to obtain a detection result of the red blood cell sample;

[0015] in response to the agglutination degree of the red blood cell sample being moderate agglutination, controlling the incubation assembly to incubate the red blood cell sample for desaggregation treatment, and controlling the impedance detection module to recheck the red blood cell sample to obtain a detection result of the red blood cell sample;

[0016] in response to the agglutination degree of the red blood cell sample being severe agglutination, controlling the incubation assembly to incubate the red blood cell sample for desaggregation treatment, controlling the dilution assembly to dilute the red blood cell sample for desaggregation treatment after the incubation, and controlling the impedance detection module to recheck the red blood cell sample after the dilution for desaggregation treatment to obtain a detection result of the red blood cell sample.

[0017] Optionally, the processing module comprises the incubation assembly and the dilution assembly, and after the control module classifies the agglutination degree of the red blood cell sample according to the first measurement parameter, the control module is further configured to:

[0018] in response to the agglutination degree of the red blood cell sample being slight agglutination, controlling the incubation assembly to incubate the red blood cell sample for desaggregation treatment, and controlling the impedance detection module to recheck the red blood cell sample to obtain a detection result of the red blood cell sample;

[0019] in response to the agglomeration degree of the red blood cell sample being severe agglomeration, controlling the incubation assembly to incubate the red blood cell sample for disaggregation; then controlling the dilution assembly to perform thermal dilution disaggregation on the red blood cell sample after the incubation disaggregation; and controlling the impedance detection module to recheck the red blood cell sample after the thermal dilution disaggregation, and obtain the detection result of the red blood cell sample;

[0020] or,

[0021] The processing module includes the incubation assembly. After the control module classifies the agglomeration degree of the red blood cell sample according to the first measurement parameter, the control module is further configured to:

[0022] in response to the agglomeration degree of the red blood cell sample being mild agglomeration, controlling the incubation assembly to incubate the red blood cell sample for disaggregation under a first condition; and controlling the impedance detection module to recheck the red blood cell sample, and obtain the detection result of the red blood cell sample;

[0023] in response to the agglomeration degree of the red blood cell sample being severe agglomeration, controlling the incubation assembly to incubate the red blood cell sample for disaggregation under a second condition; and controlling the impedance detection module to recheck the red blood cell sample, and obtain the detection result of the red blood cell sample;

[0024] The incubation disaggregation under the second condition has a stronger effect than the incubation disaggregation under the first condition.

[0025] To solve the above technical problems, the application further provides a blood cell sample processing method, applied to the blood cell analyzer as described above, and the processing method comprises:

[0026] receiving a first measurement parameter obtained after impedance detection of the red blood cell sample;

[0027] classifying the agglomeration degree of the red blood cell sample according to the first measurement parameter of the red blood cell sample;

[0028] based on the classification of the agglomeration degree of the red blood cell sample, taking a corresponding level of processing on the red blood cell sample, and obtaining the detection result of the red blood cell sample.

[0029] The first measurement parameter includes the average red blood cell hemoglobin concentration, and the step of classifying the agglomeration degree of the red blood cell sample according to the first measurement parameter of the red blood cell sample comprises:

[0030] in response to the mean corpuscular hemoglobin concentration being greater than the first threshold value and less than a second threshold value, determining that the agglomeration degree of the red blood cell sample is mild agglomeration;

[0031] in response to the mean corpuscular hemoglobin concentration being greater than the second threshold value and less than a third threshold value, determining that the agglomeration degree of the red blood cell sample is moderate agglomeration;

[0032] in response to the mean corpuscular hemoglobin concentration being greater than the third threshold value, determining that the agglomeration degree of the red blood cell sample is severe agglomeration;

[0033] wherein the third threshold value is greater than the second threshold value, and the second threshold value is greater than the first threshold value.

[0034] wherein the step of taking a corresponding level of processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining a detection result of the red blood cell sample comprises:

[0035] in response to the agglomeration degree of the red blood cell sample being mild agglomeration, performing optical detection on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample;

[0036] determining the second measurement parameter as the detection result of the red blood cell sample.

[0037] wherein the step of taking a corresponding level of processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining a detection result of the red blood cell sample further comprises:

[0038] in response to the agglomeration degree of the red blood cell sample being moderate agglomeration, performing incubation and deagglomeration processing on the red blood cell sample, and performing impedance re-inspection on the red blood cell sample after the incubation and deagglomeration processing to obtain a second measurement parameter of the red blood cell sample;

[0039] determining the second measurement parameter as the detection result of the red blood cell sample.

[0040] wherein the step of taking a corresponding level of processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining a detection result of the red blood cell sample further comprises:

[0041] in response to the agglomeration degree of the red blood cell sample being severe agglomeration, performing incubation and deagglomeration processing on the red blood cell sample, and performing heat dilution and deagglomeration processing on the red blood cell sample after the incubation and deagglomeration processing;

[0042] performing impedance re-inspection on the red blood cell sample after the heat dilution and deagglomeration processing to obtain a second measurement parameter of the red blood cell sample;

[0043] determining the second measurement parameter as the detection result of the red blood cell sample.

[0044] The step of taking the red blood cell sample to a corresponding level of processing and obtaining the detection result of the red blood cell sample comprises:

[0045] The red blood cell sample is processed to a corresponding level to obtain a second measurement parameter of the red blood cell sample.

[0046] In response to the second measurement parameter being less than the first threshold value, the second measurement parameter is determined as the detection result of the red blood cell sample.

[0047] After the step of processing the red blood cell sample to a corresponding level to obtain a second measurement parameter of the red blood cell sample, the processing method further comprises:

[0048] In response to the second measurement parameter being greater than the first threshold value, it is determined that the processing of the red blood cell sample fails, and an alarm prompt is issued.

[0049] After the step of processing the red blood cell sample to a corresponding level to obtain a second measurement parameter of the red blood cell sample, the processing method further comprises:

[0050] In response to the second measurement parameter being greater than the first threshold value, it is determined that the processing of the red blood cell sample fails, and:

[0051] In response to the agglutination degree of the red blood cell sample before processing being mild agglutination, the red blood cell sample is processed to a corresponding level of processing of moderate agglutination;

[0052] In response to the agglutination degree of the red blood cell sample before processing being moderate agglutination, the red blood cell sample is processed to a corresponding level of processing of severe agglutination;

[0053] In response to the agglutination degree of the red blood cell sample before processing being severe agglutination, an alarm prompt is issued.

[0054] After the steps of responding to the agglutination degree of the red blood cell sample before processing being mild agglutination and processing the red blood cell sample to a corresponding level of processing of moderate agglutination, and responding to the agglutination degree of the red blood cell sample before processing being moderate agglutination and processing the red blood cell sample to a corresponding level of processing of severe agglutination, the processing method further comprises:

[0055] Obtaining a third measurement parameter of the red blood cell sample obtained in the reprocessing corresponding to moderate agglutination and severe agglutination;

[0056] In response to the third measurement parameter being greater than the first threshold value, it is determined that the processing of the red blood cell sample fails, and an alarm prompt is issued.

[0057] After the step of performing the processing of the red blood cell sample corresponding to the level of the second measurement parameter, the processing method further comprises:

[0058] In response to the second measurement parameter being greater than the first threshold value, the red blood cell sample is subjected to processing corresponding to the heavy agglutination level.

[0059] The blood cell analyzer provided by the application comprises an impedance detection module, a control module and a processing module. The control module is used for receiving a first measurement parameter obtained by the impedance detection module after impedance detection of a blood cell sample, and grading the agglutination level of the red blood cell sample based on the first measurement parameter. Then, the control module controls the processing module to perform a deagglutination process on the red blood cell sample based on the agglutination level of the red blood cell sample, and performs impedance detection on the red blood cell sample after the deagglutination process to obtain a detection result of the red blood cell sample. In addition, the control module controls the processing module to perform optical detection on the red blood cell sample to correct the first measurement parameter and obtain the detection result of the red blood cell sample. The control module provided by the application can effectively identify the agglutination state of the red blood cell sample, intelligently grade the agglutination level of the red blood cell sample, and perform corresponding processing on the red blood cell sample based on the agglutination level of the red blood cell sample. The blood cell analyzer can automatically process the agglutinated red blood cell sample, reduce the agglutination effect of the red blood cell sample, improve the detection accuracy of the blood cell analyzer for the red blood cell sample, reduce the probability of missing detection in the process of manually auditing the report, reduce the workload of manual disposal, save time for accurate and rapid release of the detection report, and improve the user experience of the blood cell analyzer. BRIEF DESCRIPTION OF DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0061] Among them:

[0062] Figure 1 is a structural schematic diagram of an embodiment of the blood cell analyzer provided by the application;

[0063] Figure 2 is a flowchart of a first embodiment of the processing method provided by the application;

[0064] Figure 3 This is a flowchart illustrating the first embodiment of step S3 of this application;

[0065] Figure 4 This is a flowchart illustrating the second embodiment of step S3 of this application;

[0066] Figure 5 This is a flowchart illustrating the third embodiment of step S3 of this application;

[0067] Figure 6 This is a flowchart illustrating the fourth embodiment of step S3 of this application;

[0068] Figure 7 This is a flowchart illustrating the second embodiment of the processing method provided in this application;

[0069] Figure 8 This is a flowchart illustrating the third embodiment of the processing method provided in this application;

[0070] Figure 9 This is a flowchart illustrating the fourth embodiment of the processing method provided in this application;

[0071] Figure 10 This is a flowchart illustrating the fifth embodiment of the processing method provided in this application.

[0072] Reference numerals: Blood cell analyzer 1; Impedance detection module 11; Control module 12; Processing module 13; Incubation component 131; Dilution component 132; Optical detection component 133. Detailed Implementation

[0073] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0074] In the following description, specific details such as particular system architectures, interfaces, and technologies are presented for illustrative purposes rather than for limiting purposes, in order to provide a thorough understanding of this application.

[0075] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0076] The term "and / or" in the present application is only used to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are in an "or" relationship. In addition, "multiple" in this paper means two or more than two. In addition, the term "first", "second", "third" in this application is only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features.

[0077] In the process of red blood cell sample detection, red blood cell count, volume, hemoglobin parameters and the like are important parameters, and the mean corpuscular volume, hematocrit, mean corpuscular hemoglobin content, mean corpuscular hemoglobin concentration and the like are parameters obtained by calculation from the important parameters as described above. When the agglutination of the red blood cell sample occurs, the red blood cell count will be falsely reduced, resulting in false changes in other parameters related to this parameter, and ultimately causing the deviation of various measured parameters of the cells from the actual values. In clinical practice, it is necessary to find such abnormal samples during manual review of the results, and to manually process them according to the required procedures and methods, which is time-consuming, labor-intensive, and there is a risk of missing identification. Based on this, the embodiments of the present application provide a blood cell analyzer to solve the above technical problems.

[0078] Please refer to Figure 1 , Figure 1 is a structural schematic diagram of an embodiment of the blood cell analyzer provided by the present application.

[0079] Among them, the blood cell analyzer 1 includes an impedance detection module 11, a control module 12 and a processing module 13, the impedance detection module 11 is used for impedance detection of the red blood cell sample, the control module 12 is connected with the impedance detection module 11, and is used for receiving the first measurement parameter obtained after the impedance detection module 11 performs impedance detection on the red blood cell sample, and the processing module 13 is used for deagglomeration processing of the red blood cell sample and / or correction processing of the first measurement parameter.

[0080] In the detection process of the red blood cell sample, the agglutination of the red blood cell sample can be caused by physiological or pathological reasons, and the agglutination of the red blood cell sample is mainly caused by the action of the agglutinin in the blood cells. The stronger the effect of the agglutinin, the more serious the agglutination of the red blood cell sample, and the more difficult the deagglomeration of the red blood cell sample. If the parameters of the agglutinated red blood cell sample are to be accurately measured, the agglutinated red blood cell sample needs to be deagglomerated.

[0081] In an embodiment, after receiving the first measurement parameter, the control module 12 can determine whether the red blood cell sample is agglutinated based on the first measurement parameter, to determine whether the red blood cell sample needs to be deagglutinated. The first measurement parameter can be a parameter related to red blood cells obtained by the blood cell analyzer 1 detecting the red blood cell sample, such as mean corpuscular volume, hematocrit, mean corpuscular hemoglobin content, mean corpuscular hemoglobin concentration, etc. For example, the first measurement parameter includes mean corpuscular hemoglobin concentration, and the control module 12 can determine the agglomeration state of the red blood cell sample by comparing the mean corpuscular hemoglobin concentration in the red blood cell sample with a preset threshold value.

[0082] When the mean corpuscular hemoglobin concentration is greater than the preset threshold value, the control module 12 determines that the red blood cell sample is in an agglomeration state. The preset threshold value can be a critical value between the normal value and the abnormal value of the first measurement parameter. When the control module 12 uses mean corpuscular hemoglobin concentration as the main judgment parameter, the specific value of the preset threshold value can be greater than 360 g / L, preferably 380 g / L. That is, when the control module 12 determines that the mean corpuscular hemoglobin concentration is greater than 380 g / L, it is determined that the red blood cell sample is in an agglomeration state.

[0083] In another embodiment, when the control module 12 responds to the first measurement parameter being less than the preset threshold value, that is, the red blood cell sample is in a normal state and has not agglomerated, the control module 12 can directly use the first measurement parameter as the detection result of the red blood cell sample.

[0084] In other embodiments, the control module 12 can use other parameters in the red blood cell sample to participate in the judgment condition (such as the ratio of red blood cell count to hemoglobin count being greater than a preset threshold value, mean corpuscular protein content being greater than a preset threshold value, etc.), or use multiple parameters in the red blood cell sample (such as mean corpuscular hemoglobin concentration being greater than a preset threshold value, the ratio of red blood cell count to hemoglobin count being greater than a preset threshold value, mean corpuscular protein content being greater than a preset threshold value, etc. Combination of at least one of the judgment conditions) to determine whether the red blood cell sample is in an agglomeration state, to improve the accuracy of determining the agglomeration state of the red blood cell sample. The present application does not limit this.

[0085] Specifically, the control module 12 can grade the agglutination degree of the red blood cell sample based on the first measurement parameter. For example, the control module 12 can divide the agglutination degree of the red blood cell sample into mild, moderate and severe (after determining that the red blood cell sample is in the agglutination state, the control module 12 can further compare the first measurement parameter with a plurality of abnormal value preset intervals of the first measurement parameter, if the first measurement parameter falls within a certain preset interval, the agglutination degree of the red blood cell sample is determined, for example, the first interval is closest to the preset threshold, and when the first measurement parameter falls within the first interval, the agglutination degree of the red blood cell sample is determined to be mild agglutination; and the second interval is the interval farthest from the preset threshold among the plurality of preset intervals, and when the first measurement parameter falls within the second interval, the agglutination degree of the red blood cell sample is determined to be severe agglutination), and then different levels of processing are performed on red blood cell samples of different agglutination degree levels, so as to ensure that red blood cell samples of different agglutination degree levels can be processed at corresponding levels, improve the detection accuracy of the processed red blood cell sample, and avoid, for example, the mild agglutination red blood cell sample is processed at the moderate agglutination corresponding processing, and the energy consumption in the processing process is increased.

[0086] The control module 12 can also be connected with the processing module 13, for controlling the processing module 13 to perform the deagglutination processing on the red blood cell sample based on the grade of the agglutination degree of the red blood cell sample, and controlling the impedance detection module 11 to recheck the red blood cell sample after the deagglutination processing, so as to obtain the detection result of the red blood cell sample; and / or, controlling the processing module 13 to perform optical detection on the red blood cell sample, so as to correct the first measurement parameter and obtain the detection result of the red blood cell sample.

[0087] As described above, when the control module 12 determines that the agglutination degree of the red blood cell sample is mild, that is, the agglutination degree of the red blood cell sample is low at this time, and the influence on the accuracy of the blood cell analyzer 1 in detecting the red blood cell parameter in the red blood cell sample is small, therefore, the red blood cell sample is not deagglutinated, the control module 12 controls the processing module 13 to perform optical detection on the red blood cell sample, and the detection result of the red blood cell sample obtained by the optical detection is taken as the final detection result of the red blood cell sample, the first measurement parameter is corrected, and the detection efficiency of the blood cell analyzer 1 on the mild agglutination red blood cell sample is improved. In an embodiment, the control module 12 can first control the processing module 13 to mix the mild agglutination red blood cell sample, and then perform optical detection on the mixed red blood cell sample to obtain the detection result of the red blood cell sample.

[0088] When the control module 12 determines that the agglomeration degree of the red blood cell sample is moderate agglomeration or severe agglomeration, that is, the agglomeration degree of the red blood cell sample is high at this time, it will have a greater impact on the accuracy of the blood cell analyzer 1 in detecting the red blood cell parameters in the red blood cell sample. Therefore, before rechecking the red blood cell sample, the control module 12 controls the processing module 13 to perform a deagglomeration process on the red blood cell sample with moderate or severe agglomeration, and then controls the impedance detection module 11 to recheck the red blood cell sample after the deagglomeration process. The detection result of the red blood cell sample obtained by rechecking is taken as the final detection result of the red blood cell sample. By rechecking the red blood cell sample after deagglomeration, the detection efficiency of the blood cell analyzer 1 on the red blood cell sample is improved, and the detection process does not require human intervention, reducing errors caused by human intervention, improving the intelligent degree of the blood cell analyzer 1, and improving the user's experience of the blood cell analyzer 1.

[0089] In an embodiment, after the control module 12 controls the processing module 13 to perform optical detection on the red blood cell sample to obtain the second measurement parameter of the red blood cell sample, the control module 12 can compare the first measurement parameter and the second measurement parameter. As described above, the control module 12 can compare the mean corpuscular hemoglobin concentration in the first measurement parameter with the mean corpuscular hemoglobin concentration in the second measurement parameter. When the difference between the mean corpuscular hemoglobin concentration in the first measurement parameter and the mean corpuscular hemoglobin concentration in the second measurement parameter is large, the control module 12 takes the second measurement parameter as the measurement result of the red blood cell sample (it can be understood that since the first measurement parameter is abnormal due to the agglomeration state of the red blood cell sample, the second measurement parameter is directly used as the detection result) to correct the first measurement parameter.

[0090] When the difference between the mean corpuscular hemoglobin concentration in the first measurement parameter and the mean corpuscular hemoglobin concentration in the second measurement parameter is small, that is, the second measurement parameter is not much different from the first measurement parameter, and the first measurement parameter is an abnormal parameter, it indicates that the agglomeration state of the red blood cell sample has a certain influence on the measurement result at this time. The control module 12 can generate an alarm signal to remind the user to intervene in the red blood cell sample, or the processing module 13 can recheck the detection result after the red blood cell sample is sent into the processing module 13 for deagglomeration processing.

[0091] In other embodiments, when the processing module 13 is only used for performing the deagglomeration treatment on the red blood cell sample, the control module 12 controls the processing module 13 to perform the corresponding deagglomeration treatment on the red blood cell sample under different conditions or different methods according to the different agglomeration degrees of the red blood cell sample, and then controls the impedance detection module 11 to recheck the red blood cell sample after the deagglomeration treatment, and takes the detection result of the red blood cell sample obtained by the rechecking as the final detection result of the red blood cell sample, which is not expanded here. By rechecking the red blood cell sample after deagglomeration, the detection efficiency of the blood cell analyzer 1 on the red blood cell sample is improved, and there is no need for human intervention in the detection process, which reduces the error caused by human intervention, improves the intelligent degree of the blood cell analyzer 1 detection, and improves the user experience of the blood cell analyzer 1.

[0092] In addition, the control module 12 can also divide the agglomeration degree of the red blood cell sample into other grades based on the first measurement parameter, for example, divide the agglomeration degree of the red blood cell sample into two grades of mild and severe, and the specific number of grades of the agglomeration degree of the red blood cell sample is not limited.

[0093] In summary, the blood cell analyzer 1 includes the impedance detection module 11, the control module 12 and the processing module 13, the control module 12 can judge based on the first measurement parameter obtained by the impedance detection module 11 performing impedance detection on the red blood cell sample, and divide the agglomeration degree of the red blood cell sample into grades, and then control the processing module 13 to perform deagglomeration treatment on the red blood cell sample based on the agglomeration degree of the red blood cell sample, and / or control the processing module 13 to perform optical detection on the red blood cell sample, improve the processing efficiency of the agglomeration state of the red blood cell sample, and at the same time improve the detection efficiency of the blood cell analyzer 1 on the red blood cell sample, reduce the artificial participation rate of the blood cell analyzer 1 in the detection process of the red blood cell sample, and improve the user experience of the blood cell analyzer 1.

[0094] Optionally, the processing module 13 can include an incubation assembly 131, and / or a dilution assembly 132, and / or an optical detection assembly 133.

[0095] The incubation assembly 131 is used for incubation and disaggregation treatment of the red blood cell sample to eliminate the agglutination state of the red blood cell sample, prevent the red blood cell sample from returning to the agglutination state, and reduce the agglutination efficiency of the red blood cell sample; the dilution assembly 132 is used for pre-set multiple heat dilution and disaggregation treatment of the red blood cell sample. The heat dilution can be specifically that when the red blood cell sample is diluted, the diluent used is preheated / heated to eliminate the agglutination state of the red blood cell sample, and the red blood cell sample is subjected to heat dilution to avoid the red blood cell sample from being re-agglutinated by the cold diluent, prevent the red blood cell sample from returning to the agglutination state, and reduce the agglutination efficiency of the red blood cell sample; and the optical detection assembly 133 is used for optical detection of the red blood cell sample to correct the first measurement parameter and obtain the detection result of the red blood cell sample.

[0096] As described above, when the processing module 13 includes the incubation assembly 131, the dilution assembly 132, and the optical detection assembly 133, the control module 12 controls the processing module 13 to perform optical detection on the red blood cell sample when the red blood cell sample is determined to be in the mild agglutination state.

[0097] Specifically, when the control module determines that the red blood cell sample is in the mild agglutination state, the control module 12 can control the optical detection assembly 133 to perform optical detection on the red blood cell sample to correct the first measurement parameter of the red blood cell sample and obtain the detection result of the red blood cell sample.

[0098] When the control module 12 determines that the red blood cell sample is in the moderate or severe agglutination state, the control module 12 controls the processing module 13 to perform disaggregation treatment on the red blood cell sample.

[0099] Specifically, when the control module 12 determines that the red blood cell sample is in the moderate agglutination state, the control module 12 can control the incubation assembly 131 to perform incubation treatment on the red blood cell sample in the moderate agglutination state to eliminate the agglutination state of the red blood cell sample, and then the control module 12 can control the impedance detection module 11 to recheck the red blood cell sample after the disaggregation treatment to obtain the detection result of the red blood cell sample.

[0100] In an embodiment, the incubation assembly 131 can have an incubation site (not shown in the figure). The incubation site can be an independent incubation site (each red blood cell sample is placed in one incubation site) or other common incubation sites (multiple red blood cell samples are placed in one incubation site). During the incubation and disaggregation treatment of the red blood cell sample in the incubation assembly 131, the incubation temperature ranges from 35 to 43°C, such as 35°C, 36°C, 38°C, 40°C, 45°C, etc. The incubation temperature of the embodiment of the present application is preferably 37±1°C, which is basically consistent with the temperature of the red blood cell sample in the human body.

[0101] The incubation mode can be water bath, air bath or fixed direct heating mode, preferably solid heat conduction mode for heating, to improve the incubation efficiency of the incubation assembly 131 on the red blood cell sample and improve the deaggregation efficiency of the processing module 13 on the red blood cell sample.

[0102] Further, the incubation time of the incubation assembly 131 on the red blood cell sample can be set according to the aggregation degree of the red blood cell sample, which can be set in the range of 5-60 minutes, such as 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 50 minutes, 60 minutes, etc. The incubation time in the embodiment is preferably 20 minutes to avoid too short incubation time and incomplete deaggregation processing, and too long incubation time and too low incubation efficiency, which reduces the deaggregation efficiency of the processing module 13 on the red blood cell sample.

[0103] It can be understood that the user can set the incubation time, incubation mode and incubation time of the incubation assembly 131 on the red blood cell sample according to the aggregation degree of the red blood cell sample, which is not limited in the present application.

[0104] When the control module 12 determines that the red blood cell sample is severely aggregated, the incubation assembly 131 can be controlled to incubate the red blood cell sample first. Since the red blood cell sample is severely aggregated, the incubation time can be prolonged to eliminate the aggregation state of the red blood cell sample, but the efficiency is too low, which affects the deaggregation efficiency of the processing module 13 on the red blood cell sample, and further reduces the detection efficiency of the blood cell analyzer 1 on the red blood cell sample. Therefore, the present embodiment proposes to adopt a heat dilution secondary deaggregation operation on the incubated red blood cell sample.

[0105] Specifically, during the incubation and primary deaggregation operation of the incubation assembly 131 on the red blood cell sample, the incubation time, incubation mode and incubation time of the incubation assembly 131 can be set the same as the setting during the incubation and deaggregation process of the incubation assembly 131 on the moderately aggregated red blood cell sample, to avoid frequent modification of the setting parameters of the incubation assembly 131 and improve the accuracy of the setting of the incubation assembly 131. After the incubation assembly 131 performs the incubation and primary deaggregation operation on the red blood cell sample, the control module 12 further controls the dilution assembly 132 to perform a heat dilution secondary deaggregation operation on the red blood cell sample after the incubation and primary deaggregation operation. The dilution assembly 132 can add a heat dilution liquid to the red blood cell sample to dilute the red blood cell sample by a preset multiple to eliminate the aggregation state of the red blood cell sample. The preset multiple can be 64-1024 times, such as 64 times, 128 times, 300 times, 500 times, 1000 times, etc. The preset multiple in the embodiment is preferably 500 times. It can be understood that the specific value of the preset multiple can be set by the user based on the aggregation degree of the red blood cell sample, which is not limited in the present application.

[0106] The dilution assembly 132 can include a dilution pool and a dilution liquid tank (not shown in the figure). The dilution pool is used to contain the red blood cell sample and the dilution liquid to react the dilution liquid with the red blood cell sample and dilute the red blood cell sample to a preset multiple. The dilution liquid tank is used to store the dilution liquid. The dilution pool can be a sample preparation pool of the blood cell analyzer 1. The dilution disaggregation operation on the red blood cell sample can be performed in a pre-dilution pool of the dilution assembly 132 or in an impedance counting pool (as mentioned above, the diluted red blood cell sample is rechecked by the impedance detection module 11, and the rechecking is performed in the impedance counting pool, thereby improving the transportation efficiency of the blood cell analyzer 1 on the red blood cell sample).

[0107] In an embodiment, in order to achieve the dilution disaggregation, the dilution liquid added to the red blood cell sample can be preheated. The heating temperature of the dilution liquid is 28-38°C, for example, 28°C, 29°C, 31°C, 32°C, 34°C, 37°C, 38°C, and the like. The heating temperature in the embodiment is preferably 35°C, which is close to the temperature of the red blood cell sample after the incubation disaggregation treatment, so as to enhance the effect of the dilution disaggregation and improve the disaggregation efficiency of the dilution assembly 132 on the red blood cell sample.

[0108] In another embodiment, the dilution assembly 132 can also add unheated dilution liquid at room temperature to the red blood cell sample. However, compared with the heated dilution liquid, the unheated dilution liquid can cause the red blood cells subjected to the incubation disaggregation to be aggregated again after meeting the cold dilution liquid. Since the aggregation degree of the red blood cell sample is severe aggregation, the content of cold agglutinin is high, and the added cold dilution liquid can further promote the function of the cold agglutinin, thereby reducing the disaggregation efficiency of the dilution assembly 132 on the red blood cell sample.

[0109] In summary, in the process of the thermal dilution and secondary disaggregation treatment on the red blood cell sample, the dilution liquid is preheated, and the specific heating temperature can be determined according to the aggregation degree of the red blood cell sample, which is not limited in the present application.

[0110] In another embodiment, the processing module 13 can further include a mixing assembly, and the like. The mixing assembly is used to perform a mixing operation on the red blood cell sample. For example, the control module 12 can control the mixing assembly to perform the mixing operation before the optical detection of the red blood cell sample, before and / or during the incubation disaggregation operation of the red blood cell sample, and / or before and / or during the thermal dilution disaggregation treatment of the red blood cell sample. In this way, the processing efficiency of the processing module 13 on the red blood cell sample is further improved.

[0111] In other embodiments, when the processing module 13 only includes the incubation assembly 131 and the dilution assembly 132, after the control module 12 grades the agglutination degree of the red blood cell sample, the control module 12 can control the incubation assembly 131 to incubate the red blood cell sample with mild agglutination, and control the dilution assembly 132 to perform thermal dilution to the red blood cell sample with severe agglutination after the incubation assembly 131 incubates the red blood cell sample with severe agglutination.

[0112] In other embodiments, when the processing module 13 only includes the incubation assembly 131, after the control module 12 grades the agglutination degree of the red blood cell sample, the control module 12 can further control the incubation assembly 131 to perform disaggregation treatment on the red blood cell sample with different agglutination degree grades under different conditions, such as setting different incubation time and incubation temperature, etc. For example, the agglutination state of the red blood cell sample with mild agglutination is easier to eliminate than that of the red blood cell sample with severe agglutination. Therefore, the control module 12 controls the incubation assembly 131 to perform incubation disaggregation treatment on the red blood cell sample with mild agglutination under a first condition, and to perform incubation disaggregation treatment on the red blood cell sample with severe agglutination under a second condition. The incubation time under the first condition is shorter than that under the second condition, and / or the incubation temperature under the first condition is lower than that under the second condition, etc. The specific conditions can be set by the user, which is not limited in the present application.

[0113] It can be understood that after different grades of the agglutination degree of the red blood cell are divided, different treatments can be performed on the red blood cell sample with different agglutination degree grades according to the specific conditions of the processing module 13. The specific conditions can be set by the user, which is not limited in the present application.

[0114] The following describes the steps of the blood cell analyzer 1 for processing the red blood cell sample (determining that the processing module 13 includes the incubation assembly 131, the dilution assembly 132 and the optical detection assembly 133):

[0115] The blood cell analyzer 1 receives the red blood cell sample to be detected, and the control module 12 controls the impedance detection module 11 to perform impedance detection on the red blood cell sample to obtain the first measurement parameter of the red blood cell sample. Then the impedance detection module 11 transmits the first measurement parameter to the control module 12, and the control module 12 grades the agglutination degree of the red blood cell sample based on the first measurement parameter.

[0116] Specifically, the control module 12 can pre-store the judgment conditions for grading the agglutination degree of the red blood cell sample, and then compare the first measurement parameter with the judgment conditions after receiving the first measurement parameter, so as to quickly grade the agglutination degree of the red blood cell sample, thereby improving the efficiency of the control module 12 in grading the agglutination degree of the red blood cell sample.

[0117] After the control module 12 grades the agglomeration degree of the red blood cell sample based on the first measurement parameter, when the agglomeration degree of the red blood cell sample is mild agglomeration, the control module 12 controls the optical detection assembly 133 to perform optical detection on the red blood cell sample to correct the first measurement parameter and obtain the detection result of the red blood cell sample. When the agglomeration degree of the red blood cell sample is moderate agglomeration, the control module 12 controls the incubation assembly 131 to perform incubation and deagglomeration processing on the red blood cell sample and controls the impedance detection module 11 to perform re-inspection on the red blood cell sample after the incubation and deagglomeration processing, to obtain the detection result of the red blood cell sample. When the agglomeration degree of the red blood cell sample is severe agglomeration, the control module 12 controls the incubation assembly 131 to perform incubation and deagglomeration processing on the red blood cell sample, controls the dilution assembly 132 to perform hot dilution and deagglomeration processing on the red blood cell sample after the incubation and deagglomeration processing, and controls the impedance detection module 11 to perform re-inspection on the red blood cell sample after the hot dilution and deagglomeration processing, to obtain the detection result of the red blood cell sample.

[0118] To sum up, in the blood cell analyzer 1 provided by the embodiment of the present application, the control module 12 automatically identifies the agglomeration state of the red blood cell sample, grades the agglomeration degree of the red blood cell sample, automatically processes the red blood cell sample based on the agglomeration degree of the red blood cell sample, reduces the agglomeration effect of the red blood cell sample, re-inspects the red blood cell sample, improves the detection efficiency of the blood cell analyzer 1 on the red blood cell sample, reduces the human participation rate in the detection process of the blood cell analyzer 1 on the red blood cell sample, reduces the probability of missing discovery in the manual review report process, reduces the workload of manual disposal, saves time for accurate and rapid release of the detection report, and improves the user experience of the blood cell analyzer 1.

[0119] It can be understood that the automatic processing operation of the agglomeration degree of the red blood cell sample provided in the foregoing is only one embodiment provided in the present application. In actual application, the processing method of the red blood cell sample with different agglomeration degrees can be set according to the components included in the processing module 12 and the requirements of the user. For example, when the agglomeration degree of the red blood cell sample is light agglomeration, the control module 12 can also control the incubation component 131 to perform short-time incubation and deagglomeration processing on the red blood cell sample with light agglomeration, or perform mixing processing on the red blood cell sample, or control the incubation component 131 to perform short-time incubation and deagglomeration processing on the red blood cell sample with light agglomeration while performing mixing processing on the red blood cell sample, and then control the optical detection component 133 or the impedance detection module 11 to recheck the processed red blood cell sample. When the agglomeration degree of the red blood cell sample is moderate agglomeration or severe agglomeration, the mixing processing can be performed on the red blood cell sample during, before or after the control of the control module 12 on the incubation component 131 or the dilution component 132 to perform deagglomeration processing on the red blood cell sample, so as to accelerate the deagglomeration efficiency of the red blood cell sample.

[0120] That is, the automatic processing strategy of the agglomeration degree of the red blood cell sample can be set by the user based on the agglomeration degree of the red blood cell sample, the specific components included in the processing module 12 and the requirements of the user, for example, whether mixing processing is required, the specific setting position of the mixing processing step in the flow, the incubation temperature, the time length and the mode in the incubation and deagglomeration processing process, the preset multiple in the dilution processing process, the heating temperature of the dilution liquid, and the like, which can be combined to form the automatic processing strategy. The present application does not limit the specific steps of the automatic processing strategy of the blood cell analyzer 1 corresponding to the agglomeration degree of the red blood cell sample.

[0121] The present application also provides a processing method of a red blood cell sample, which is applied to the blood cell analyzer 1 to detect the red blood cell sample. In the embodiments of the present application, the processing module 12 includes the incubation component 131, the dilution component 132 and the optical detection component 133 by default. Please refer to Figure 2 , Figure 2 which is a flowchart of the first embodiment of the processing method provided in the present application. The processing method of the red blood cell sample provided in the embodiments of the present application specifically includes the following steps:

[0122] S1: receiving the first measurement parameter obtained after the impedance detection of the red blood cell sample.

[0123] Wherein, when the red blood cell sample enters the blood cell analyzer 1 and enters the detection process, the control module 12 can control the impedance detection module 11 to detect the impedance of the red blood cell sample to obtain the first measurement parameter of the red blood cell sample, and then the impedance detection module 11 transmits the first measurement parameter to the control module 12, and the control module 12 is used to accept the first measurement parameter.

[0124] Wherein, the first measurement parameter can include the mean corpuscular hemoglobin concentration of the red blood cell sample, the mean corpuscular volume of the red blood cell sample, the hematocrit of the red blood cell sample, and other related parameters of the red blood cell sample.

[0125] S2: Grade the agglutination degree of the red blood cell sample based on the first measurement parameter of the red blood cell sample.

[0126] After the control module 12 receives the first measurement parameter, the control module 12 can grade the agglutination degree of the red blood cell sample based on the first measurement parameter. As described above, it can be that a specific parameter value in the first measurement parameter is compared with a preset threshold value, and then the agglutination degree grade of the red blood cell sample is divided, or a combination of multiple specific parameter values in the first measurement parameter is compared with a preset threshold value, and the measurement parameters of the red blood cell sample are comprehensively considered to improve the grading efficiency of the control module 12 on the agglutination degree grade of the red blood cell sample.

[0127] In an embodiment, the red blood cell count, the mean corpuscular volume, the mean corpuscular distribution width and other parameters in the measurement parameters of the red blood cell sample have large differences in each sample, and it is difficult to be used as a basis for judgment. Through statistics, it is found that the mean corpuscular hemoglobin concentration has a smaller change range in different red blood cell samples, so the mean corpuscular hemoglobin concentration is used as the main judgment parameter in this embodiment.

[0128] Wherein, when the control module 12 responds to the mean corpuscular hemoglobin concentration being greater than the first threshold value and less than the second threshold value, it is determined that the agglutination degree of the red blood cell sample is mild agglutination; when the control module 12 responds to the mean corpuscular hemoglobin concentration being greater than the second threshold value and less than the third threshold value, it is determined that the agglutination degree of the red blood cell sample is moderate agglutination; when the control module 12 responds to the mean corpuscular hemoglobin concentration being greater than the third threshold value, it is determined that the agglutination degree of the red blood cell sample is severe agglutination. Wherein, the third threshold value is greater than the second threshold value, and the second threshold value is greater than the first threshold value.

[0129] Specifically, the specific value of the first threshold can be 380 g / L, the specific value of the second threshold can be 400 g / L, and the specific value of the third threshold can be 420 g / L, that is, when the control module 12 determines that the average red blood cell hemoglobin concentration of the red blood cell sample is in the range of (380, 400) g / L, it is determined that the agglomeration degree of the red blood cell sample is mild agglomeration; when the control module 12 determines that the average red blood cell hemoglobin concentration of the red blood cell sample is in the range of (400, 420) g / L, it is determined that the agglomeration degree of the red blood cell sample is moderate agglomeration; and when the average red blood cell hemoglobin concentration of the red blood cell sample is greater than 420 g / L, it is determined that the agglomeration degree of the red blood cell sample is severe agglomeration.

[0130] In another embodiment, the first threshold, the second threshold and the third threshold can also be set by the user to other specific values, which are not limited in the present application.

[0131] In other embodiments, other parameters of the red blood cell sample can also be used as the basis for judgment, such as parameters whose detection results will be higher when the red blood cell sample is in the agglomeration state: the ratio of red blood cell count to hemoglobin count, average red blood cell hemoglobin content, etc., or parameters whose detection results will be lower when the red blood cell sample is in the agglomeration state: hematocrit, etc. The user can quantify the judgment standard by himself, for example, determining that the red blood cell sample is in the agglomeration state when the ratio of red blood cell count to hemoglobin count is greater than 30:1, and then dividing multiple intervals to divide the agglomeration degree level of the red blood cell sample; or determining that the red blood cell sample is in the agglomeration state when the average red blood cell hemoglobin content is greater than 33 pg, and then dividing multiple intervals to divide the agglomeration degree level of the red blood cell sample. The user can also set other parameters of the red blood cell sample as the basis for judgment, which is not limited in the present application.

[0132] It can be understood that in the process of dividing the agglomeration degree level of the red blood cell sample by the control module 12 based on the first measurement parameter, a single parameter can be used as the basis for judgment to divide the agglomeration degree level of the red blood cell sample (for example, only when the average red blood cell hemoglobin concentration is greater than 380 g / L, it is determined that the red blood cell sample is in the agglomeration state), or multiple parameters can be used as the basis for judgment to divide the agglomeration degree level of the red blood cell sample (for example, only when the average red blood cell hemoglobin concentration is greater than 380 g / L and the average red blood cell hemoglobin content is greater than 33 pg, it is determined that the red blood cell sample is in the agglomeration state). By using multiple parameters as the basis for judgment to divide the agglomeration state and the agglomeration degree level of the red blood cell sample, the accuracy of the control module 12 in dividing the agglomeration degree level of the red blood cell sample is improved, and the practicability of the processing method provided in the present embodiment is improved.

[0133] S3: based on the agglomeration degree of the red blood cell sample, the corresponding level of the red blood cell sample is taken, and the detection result of the red blood cell sample is obtained.

[0134] After the control module 12 determines the agglomeration degree of the red blood cell sample in step S2, the control module 12 can control the processing module 13 and the impedance detection module 11 to take the corresponding level of the red blood cell sample, and obtain the detection result of the red blood cell sample.

[0135] The processing method provided by the embodiment of the application can intelligently divide the agglomeration degree of the red blood cell sample based on the first measurement parameter of the red blood cell sample through the control module 12, and take the corresponding level of the red blood cell sample, thereby improving the processing efficiency of the red blood cell sample, avoiding the red blood cell sample with low agglomeration degree from being subjected to the deagglomeration processing with high energy consumption, increasing the occurrence of energy consumption, reducing the energy consumption in the processing of the red blood cell sample, improving the practicality of the processing method, and improving the user's experience of using the processing method.

[0136] Please refer to Figure 3 , Figure 3 is the flowchart of the first embodiment of step S3 of the application. When it is determined in step S2 that the agglomeration degree of the red blood cell sample is slight agglomeration, the specific steps of step S3 include:

[0137] S31: optically detecting the red blood cell sample to obtain the second measurement parameter of the red blood cell sample.

[0138] When the control module 12 responds to the slight agglomeration of the red blood cell sample, that is, the agglomeration degree of the red blood cell sample is low, the accuracy of the parameter detection of the red blood cell sample is less affected, therefore, the red blood cell sample is not subjected to deagglomeration processing, and the control module 12 controls the optical detection assembly 133 to optically detect the red blood cell sample to obtain the second measurement parameter of the red blood cell sample.

[0139] S32: determining the second measurement parameter as the detection result of the red blood cell sample.

[0140] After the optical detection assembly 133 optically detects the red blood cell sample to obtain the second measurement parameter in step S31, the optical detection assembly 133 can transmit the second measurement parameter to the control module 12, and the control module 12 receives the second measurement parameter and determines the second measurement parameter as the detection result of the red blood cell sample.

[0141] By grading the agglomeration degree of the red blood cell sample, when the agglomeration degree of the red blood cell sample is low, another detection method is used to detect the red blood cell sample, and the second measurement parameter obtained by the detection is taken as the detection result of the red blood cell sample, thereby improving the detection efficiency of the red blood cell sample and improving the practicality of the processing method.

[0142] In another embodiment, after the control module 12 controls the optical detection assembly 133 to perform optical detection on the red blood cell sample, a second measurement parameter of the red blood cell sample is obtained, and then the control module 12 can compare the first measurement parameter and the second measurement parameter. As described above, the control module 12 can compare the mean corpuscular hemoglobin concentration in the first measurement parameter with the mean corpuscular hemoglobin concentration in the second measurement parameter. When the difference between the mean corpuscular hemoglobin concentration in the first measurement parameter and the mean corpuscular hemoglobin concentration in the second measurement parameter is large, the control module 12 takes the second measurement parameter as the measurement result of the red blood cell sample (it can be understood that, since the first measurement parameter is abnormal due to the agglomeration state of the red blood cell sample, the second measurement parameter is directly used as the detection result).

[0143] When the difference between the mean corpuscular hemoglobin concentration in the first measurement parameter and the mean corpuscular hemoglobin concentration in the second measurement parameter is small, that is, the second measurement parameter is not much different from the first measurement parameter, and the first measurement parameter is an abnormal parameter, it indicates that the agglomeration state of the red blood cell sample has a certain influence on the measurement result at this time. Then the control module 12 can generate an alarm signal to remind the user to intervene in the red blood cell sample, or the module 13 can send the red blood cell sample into the processing module 13 for deagglomeration treatment and then recheck to obtain the detection result.

[0144] Please refer to Figure 4 , Figure 4 is a flowchart of the second embodiment of step S3 of the present application. When it is determined in step S2 that the agglomeration degree of the red blood cell sample is moderate agglomeration, the specific steps of step S3 include:

[0145] S41: incubate the red blood cell sample for deagglomeration treatment, and perform impedance rechecking on the red blood cell sample after the incubation and deagglomeration treatment to obtain a second measurement parameter of the red blood cell sample.

[0146] When the control module 12 responds to the moderate agglomeration degree of the red blood cell sample, the red blood cell sample needs to be deagglomerated to avoid the influence of the agglomerated red blood cell group on the detection result, and to prevent the red blood cell sample from agglomerating again and reduce the agglomeration efficiency of the red blood cell sample. The control module 12 can control the incubation assembly 131 to incubate and deagglomerate the red blood cell sample, wherein the incubation temperature ranges from 35 to 43 DEG C, for example, 35 DEG C, 36 DEG C, 38 DEG C, 40 DEG C, 45 DEG C, and the like, and is preferably 37 DEG C. ± 1 DEG C. The incubation time can be set in the range of 5 to 60 minutes, for example, 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 50 minutes, 60 minutes, and the like, and is preferably 20 minutes. The specific incubation temperature and incubation time can be set by the user based on the agglomeration degree of the red blood cell sample, and the present application does not limit this.

[0147] After the incubation assembly 131 deagglomerates the red blood cell sample, the red blood cell sample returns to the normal state, and the control module 12 further controls the impedance detection module 11 to recheck the impedance of the deagglomerated red blood cell sample to obtain the second measurement parameter of the red blood cell sample.

[0148] S42: The second measurement parameter is determined as the detection result of the red blood cell sample.

[0149] Since the second measurement parameter is obtained by the impedance detection module 11 detecting the impedance of the red blood cell sample in the normal state, the control module 12 can directly determine the second measurement parameter as the detection result of the red blood cell sample.

[0150] By incubating and deagglomerating the red blood cell sample with moderate agglomeration, the agglomeration state of the red blood cell sample is eliminated, and the detection accuracy of the red blood cell sample is ensured, and the practicability of the processing method is improved.

[0151] Please refer to Figure 5 , Figure 5 is a flow diagram of the third embodiment of step S3 of the present application. When it is determined in step S2 that the agglomeration degree of the red blood cell sample is severe agglomeration, the specific steps of step S3 include:

[0152] S51: Incubate and deagglomerate the red blood cell sample, and perform heat dilution deagglomeration on the red blood cell sample after the incubation and deagglomeration.

[0153] The control module 12 responds to the severe agglomeration degree of the red blood cell sample, and the red blood cell sample needs to be deagglomerated deeply. The present embodiment proposes to incubate and deagglomerate the red blood cell sample once and perform heat dilution deagglomeration twice to eliminate the agglomeration state of the red blood cell sample.

[0154] The control module 12 can first control the incubation assembly 131 to incubate the red blood cell sample for disaggregation treatment. The specific incubation temperature and incubation time can be consistent with the settings in step S41. Then, the control module 12 controls the dilution assembly 132 to perform heat dilution disaggregation treatment on the red blood cell sample after the incubation disaggregation treatment. In order to improve the disaggregation efficiency of the red blood cell sample, the dilution liquid can be heated before being added to the red blood cell sample by the dilution assembly 132. The heating temperature of the dilution liquid is 28-38°C, for example, 28°C, 29°C, 31°C, 32°C, 34°C, 37°C, 38°C, etc., and is preferably 35°C, which is close to the temperature of the red blood cell sample after the incubation disaggregation treatment, so as to enhance the effect of heat dilution disaggregation. It can be understood that the heating temperature of the dilution liquid can also be set by the user based on the incubation temperature and the aggregation degree of the red blood cell sample, and the present application does not limit this.

[0155] In another embodiment, the incubation temperature and incubation time of the incubation assembly 131 when incubating the red blood cell sample can also be different from the settings in step S41. Since the aggregation degree of the red blood cell sample at this time is severe aggregation, the user can appropriately increase the incubation temperature and prolong the incubation time to ensure the disaggregation effect of the red blood cell sample.

[0156] S52: The red blood cell sample after the heat dilution disaggregation treatment is subjected to impedance re-inspection to obtain a second measurement parameter of the red blood cell sample.

[0157] In step S51, after the incubation assembly 131 and the dilution assembly 132 perform disaggregation treatment on the red blood cell sample, the control module 12 further controls the impedance detection module 11 to perform impedance re-inspection on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample.

[0158] S53: The second measurement parameter is determined as the detection result of the red blood cell sample.

[0159] Since the second measurement parameter is obtained by the impedance detection module 11 performing impedance detection on the red blood cell sample in a normal state, the control module 12 can directly determine the second measurement parameter as the detection result of the red blood cell sample.

[0160] By performing one-time incubation disaggregation treatment + heat dilution two-time disaggregation treatment on the red blood cell sample with severe aggregation, the aggregation state of the red blood cell sample is eliminated, and the detection accuracy of the red blood cell sample is ensured, and the practicability of the treatment method is improved.

[0161] Please refer to Figure 6 , Figure 6 is a flow diagram of the fourth embodiment of step S3. The specific steps of step S3 for taking corresponding level treatment on the red blood cell sample and obtaining the detection result of the red blood cell sample include:

[0162] S61: Process the red blood cell sample according to the corresponding level to obtain the second measurement parameter of the red blood cell sample.

[0163] After classifying the degree of agglutination of the red blood cell sample into different levels, the control module 12 can process the red blood cell sample according to the corresponding level to obtain the second measurement parameter of the red blood cell sample.

[0164] Specifically, when the red blood cell sample exhibits mild agglutination, the control module 12 can control the optical detection component 133 to perform optical detection on the red blood cell sample as described in step S31, thereby obtaining the second measurement parameter of the red blood cell sample. When the red blood cell sample exhibits moderate agglutination, the control module 12 can control the incubation component 131 to perform incubation and deagglutination treatment on the red blood cell sample as described in step S41, and control the impedance detection module 11 to perform impedance re-test on the red blood cell sample after incubation and deagglutination treatment, thereby obtaining the second measurement parameter of the red blood cell sample. When the red blood cell sample exhibits severe agglutination, the control module 12 can control the incubation component 131 and the dilution component 132 to perform deagglutination treatment on the red blood cell sample as described in steps S51-S52, and control the impedance detection module 11 to perform impedance re-test on the red blood cell sample after deagglutination treatment, thereby obtaining the second measurement parameter of the red blood cell sample.

[0165] S62: In response to the second measurement parameter being less than the first threshold, the second measurement parameter is determined as the detection result of the red blood cell sample.

[0166] As mentioned above, the second measurement parameter of the red blood cell sample should theoretically be the parameter obtained under normal conditions. In order to ensure the accuracy of the detection results of the red blood cell sample, after obtaining the second measurement parameter, the control module 12 can further compare the second parameter with the first threshold. The first threshold is the critical value between the normal value and the abnormal value of the measurement parameter. Therefore, when the control module 12 responds to the second measurement parameter being less than the first threshold, that is, to ensure that the red blood cell sample is in a normal state and to ensure the accuracy of the second measurement parameter, the control module 12 directly determines the second measurement parameter as the detection result of the red blood cell sample, thereby improving the detection efficiency of the red blood cell sample.

[0167] like Figure 7 As shown, Figure 7 This is a flowchart illustrating the second embodiment of the processing method provided in this application. After the control module 12 compares the second measurement parameter with the first threshold in step S62, the processing method of this embodiment includes:

[0168] S71: In response to the second measurement parameter being greater than the first threshold, it is determined that the processing of the red blood cell sample has failed and an alarm is issued.

[0169] When the control module 12 compares the second measurement parameter with the first threshold, if the second measurement parameter is greater than the first threshold, that is, the red blood cell sample is still in an abnormal state and the agglutination state of the red blood cell sample has not been eliminated, and the processing of the red blood cell sample fails, the control module 12 can issue an alarm to the user to remind the user to handle the abnormality and request human intervention. This is to prevent the abnormal red blood cell sample from blocking the subsequent red blood cell sample processing and detection channels, affecting the detection efficiency of the red blood cell sample, and improving the user's experience with the processing method.

[0170] In one embodiment, the blood cell analyzer 1 may further include an alarm module (not shown), and the control module 12 may then issue an alarm signal through the alarm module to remind the user.

[0171] Optionally, such as Figure 8 As shown, Figure 8 This is a flowchart illustrating the third embodiment of the processing method provided in this application. In step S62, after the control module 12 compares the second measurement parameter with the first threshold, the processing method of this embodiment further includes:

[0172] S81: In response to the second measurement parameter being greater than the first threshold, it is determined that the processing of the red blood cell sample has failed.

[0173] If the control module 12 responds to the second measurement parameter being greater than the first threshold, then the red blood cell sample is still in an abnormal state, the agglutination state of the red blood cell sample has not been eliminated, and the processing of the red blood cell sample has failed. The control module 12 can then further process the red blood cell sample.

[0174] If the degree of agglutination of the red blood cell sample before processing is mild, proceed to step S82; if the degree of agglutination of the red blood cell sample before processing is moderate, proceed to step S83; if the degree of agglutination of the red blood cell sample before processing is severe, proceed to step S84.

[0175] S82: In response to the fact that the degree of agglutination of the red blood cell sample before treatment is mild agglutination, the red blood cell sample is treated to the degree of agglutination.

[0176] When the control module 12 responds to the fact that the agglutination degree of the red blood cell sample before processing is mild agglutination, that is, even optical detection of the red blood cell sample cannot avoid the influence of red blood cell agglutination on the detection results, the control module 12 can further process the red blood cell sample after mild agglutination to the corresponding level of agglutination, so as to eliminate the agglutination state of the red blood cell sample and improve the detection efficiency of the red blood cell sample.

[0177] S83: in response to the agglomeration degree of the red blood cell sample before treatment being moderate agglomeration, the red blood cell sample is subjected to treatment corresponding to severe agglomeration.

[0178] When the control module 12 responds to the agglomeration degree of the red blood cell sample before treatment being moderate agglomeration, that is, the incubation disaggregation treatment of the red blood cell sample cannot eliminate the agglomeration state of the red blood cell sample, the control module 12 can further subject the red blood cell sample to treatment corresponding to severe agglomeration, to ensure that the agglomeration state of the red blood cell sample is eliminated, and to improve the detection efficiency of the red blood cell sample.

[0179] S84: in response to the agglomeration degree of the red blood cell sample before treatment being severe agglomeration, an alarm prompt is issued.

[0180] When the control module 12 responds to the agglomeration degree of the red blood cell sample before treatment being severe agglomeration, that is, the incubation disaggregation + heat dilution disaggregation treatment of the red blood cell sample cannot eliminate the agglomeration state of the red blood cell sample, and since the red blood cell sample cannot eliminate the agglomeration state after the highest level of disaggregation treatment, the control module 12 can issue an alarm prompt to request human intervention, to avoid that the abnormal red blood cell sample blocks the red blood cell sample treatment and detection channel, and to improve the detection efficiency of the red blood cell sample.

[0181] Further, please refer to Figure 9 , Figure 9 is a structural schematic diagram of the fourth embodiment of the processing method provided in the present application. After the steps of subjecting the red blood cell sample to treatment corresponding to moderate agglomeration in step S82, and subjecting the red blood cell sample to treatment corresponding to severe agglomeration in step S83, the processing method provided in the embodiment of the present application further comprises:

[0182] S91: obtaining a third measurement parameter of the red blood cell sample obtained in the re-treatment corresponding to moderate agglomeration and severe agglomeration.

[0183] In step S82, after the control module 12 subjects the red blood cell sample to treatment corresponding to moderate agglomeration, since the treatment corresponding to moderate agglomeration is first incubation disaggregation treatment of the red blood cell sample, and impedance re-inspection of the red blood cell sample after the incubation disaggregation treatment, at this time, a third measurement parameter of the red blood cell sample is obtained, the control module 12 receives the third measurement parameter.

[0184] In step S83, the control module 12 receives the third measurement parameter after the red blood cell sample is subjected to the treatment corresponding to the severe agglutination and the impedance re-inspection is performed on the red blood cell sample after the incubation disaggregation treatment + the heat dilution disaggregation treatment in the treatment corresponding to the severe agglutination.

[0185] S92: In response to the third measurement parameter being greater than the first threshold value, it is determined that the treatment of the red blood cell sample fails, and an alarm prompt is issued.

[0186] Further, the control module 12 compares the third measurement parameter with the first threshold value, and in response to the third measurement parameter being greater than the first threshold value, that is, the red blood cell sample originally determined to be slightly agglutinated is subjected to the treatment corresponding to the moderate agglutination, or the red blood cell sample originally determined to be moderately agglutinated is subjected to the treatment corresponding to the severe agglutination, and the agglutination state of the red blood cell sample still cannot be eliminated. Theoretically, the agglutination state of the red blood cell sample after the disaggregation treatment will not be aggravated, so it is determined that the red blood cell sample is abnormal, the control module 12 determines that the treatment of the red blood cell sample fails, and an alarm prompt is issued to request manual intervention. Avoiding the situation that the red blood cell sample is subjected to the treatment corresponding to the severe agglutination again and still cannot eliminate the agglutination state of the red blood cell sample, affecting the processing efficiency of the red blood cell sample, if the red blood cell sample is subjected to the treatment twice and still cannot eliminate the agglutination state of the red blood cell sample, then directly requesting manual intervention can improve the processing efficiency of the red blood cell sample.

[0187] In an embodiment, in response to the third measurement parameter being less than the first threshold value, that is, the agglutination state of the red blood cell sample is eliminated at this time, and the red blood cell sample is in a normal state, the control module 12 outputs the third measurement parameter as a detection result.

[0188] Please continue to refer to Figure 10 , Figure 10 is the flowchart of the fifth embodiment of the processing method provided by the present application. After the red blood cell sample is subjected to the treatment corresponding to the level in step S61, and the second measurement parameter of the red blood cell sample is obtained, the processing method provided by the embodiment of the present application further comprises:

[0189] S101: In response to the second measurement parameter being greater than the first threshold value, the red blood cell sample is subjected to the treatment corresponding to the severe agglutination.

[0190] In response to the second measurement parameter being greater than the first threshold value by the control module 12, the red blood cell sample is still in an abnormal state at this time, and the agglutination state of the red blood cell sample has not been eliminated, so the control module 12 directly subjects the red blood cell sample still in an abnormal state to the treatment corresponding to the severe agglutination, to ensure that the agglutination state of the red blood cell sample is eliminated.

[0191] Compared with the agglomeration degree level of the red blood cell sample before processing provided by the third embodiment of the processing method, the red blood cell sample is controlled to be processed again according to the corresponding level, and in this embodiment, the red blood cell sample that is still abnormal after one-time processing is directly processed according to the processing corresponding to severe agglomeration, avoiding the possibility that the red blood cell sample is still unable to eliminate the agglomeration state after the processing corresponding to moderate agglomeration, ensuring that the agglomeration state of the red blood cell sample can be eliminated, and improving the processing efficiency of the red blood cell sample.

[0192] In this embodiment, if the agglomeration state of the sample red blood cell before processing is severe agglomeration, when the second measurement parameter of the red blood cell sample after processing corresponding to severe agglomeration is greater than the first threshold value, the control module 12 executes the same process as step S84 and directly issues an alarm signal.

[0193] In summary, in the processing method provided by the embodiments of the present application, the control module 12 intelligently classifies the agglomeration degree of the red blood cell sample, and processes the red blood cell sample according to the corresponding level based on the agglomeration degree level of the red blood cell sample, thereby improving the deagglomeration efficiency and detection efficiency of the red blood cell sample. At the same time, in the case that the red blood cell sample still cannot eliminate the agglomeration state after one-time processing, the control module 12 further processes the red blood cell sample for the second time, ensures that the agglomeration state of the red blood cell sample is eliminated, ensures the accuracy of the detection of the red blood cell sample, reduces the participation rate of artificial in the processing and detection process of the red blood cell sample, reduces the error caused by human, improves the practicability of the processing method, and improves the user's experience of using the processing method.

[0194] The above only describes the embodiments of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A blood cell analyzer characterized by comprising: The blood cell analyzer comprises: an impedance detection module configured to perform impedance detection on a red blood cell sample; a control module connected to the impedance detection module, configured to receive a first measurement parameter obtained by the impedance detection module after performing impedance detection on the red blood cell sample, and grade agglutination degree of the red blood cell sample based on the first measurement parameter; a processing module configured to perform deagglutination processing on the red blood cell sample, and / or to perform correction processing on the first measurement parameter; wherein the control module is further connected to the processing module, and the control module is further configured to control the processing module to perform deagglutination processing on the red blood cell sample based on the grade of the agglutination degree of the red blood cell sample, and control the impedance detection module to recheck the red blood cell sample after deagglutination processing to obtain a detection result of the red blood cell sample; and / or control the processing module to perform optical detection on the red blood cell sample to correct the first measurement parameter and obtain the detection result of the red blood cell sample; wherein the first measurement parameter comprises mean corpuscular hemoglobin concentration, and the control module is further configured to: determine that the agglutination degree of the red blood cell sample is mild agglutination in response to the mean corpuscular hemoglobin concentration being greater than a first threshold value and less than a second threshold value; determine that the agglutination degree of the red blood cell sample is moderate agglutination in response to the mean corpuscular hemoglobin concentration being greater than the second threshold value and less than a third threshold value; determine that the agglutination degree of the red blood cell sample is severe agglutination in response to the mean corpuscular hemoglobin concentration being greater than the third threshold value; wherein the third threshold value is greater than the second threshold value, and the second threshold value is greater than the first threshold value.

2. The blood cell analyzer according to claim 1, wherein, The processing module comprises: an incubation assembly configured to perform incubation deagglutination processing on the red blood cell sample; and / or a dilution assembly configured to perform heat dilution deagglutination processing on the red blood cell sample at a preset multiple; and / or an optical detection assembly configured to perform optical detection on the red blood cell sample to correct the first measurement parameter.

3. The blood cell analyzer according to claim 2, wherein the processing module comprises the incubation assembly, the dilution assembly, and the optical detection assembly, and after the control module grades the agglutination degree of the red blood cell sample based on the first measurement parameter, the control module is further configured to: control the optical detection assembly to perform optical detection on the red blood cell sample to obtain a detection result of the red blood cell sample in response to the agglutination degree of the red blood cell sample being mild agglutination; control the incubation assembly to perform incubation deagglutination processing on the red blood cell sample in response to the agglutination degree of the red blood cell sample being moderate agglutination; and control the impedance detection module to recheck the red blood cell sample to obtain a detection result of the red blood cell sample. ​ in response to the agglomeration degree of the red blood cell sample being severe agglomeration, the incubation assembly is controlled to incubate the red blood cell sample for disaggregation treatment; the dilution assembly is controlled to perform thermal dilution disaggregation treatment on the red blood cell sample after the incubation disaggregation treatment; and the impedance detection module is controlled to recheck the red blood cell sample after the thermal dilution disaggregation treatment, to obtain the detection result of the red blood cell sample.

4. The blood cell analyzer according to claim 2, wherein the processing module includes the incubation assembly and the dilution assembly, after the control module grades the agglomeration degree of the red blood cell sample based on the first measurement parameter, the control module is further used for: in response to the agglomeration degree of the red blood cell sample being mild agglomeration, the incubation assembly is controlled to incubate the red blood cell sample for disaggregation treatment; and the impedance detection module is controlled to recheck the red blood cell sample, to obtain the detection result of the red blood cell sample; in response to the agglomeration degree of the red blood cell sample being severe agglomeration, the incubation assembly is controlled to incubate the red blood cell sample for disaggregation treatment; and the dilution assembly is controlled to perform thermal dilution disaggregation treatment on the red blood cell sample after the incubation disaggregation treatment; and the impedance detection module is controlled to recheck the red blood cell sample after the thermal dilution disaggregation treatment, to obtain the detection result of the red blood cell sample; or the processing module includes the incubation assembly, after the control module grades the agglomeration degree of the red blood cell sample based on the first measurement parameter, the control module is further used for: in response to the agglomeration degree of the red blood cell sample being mild agglomeration, the incubation assembly is controlled to incubate the red blood cell sample for disaggregation treatment under a first condition; and the impedance detection module is controlled to recheck the red blood cell sample, to obtain the detection result of the red blood cell sample; in response to the agglomeration degree of the red blood cell sample being severe agglomeration, the incubation assembly is controlled to incubate the red blood cell sample for disaggregation treatment under a second condition; and the impedance detection module is controlled to recheck the red blood cell sample, to obtain the detection result of the red blood cell sample; the incubation disaggregation treatment effect under the second condition is stronger than that under the first condition.

5. A method of processing a red blood cell sample, characterized by, The processing method is applied to the blood cell analyzer according to any one of claims 1-4, and the processing method includes: receiving a first measurement parameter obtained after impedance detection of the red blood cell sample; grading the agglomeration degree of the red blood cell sample based on the first measurement parameter of the red blood cell sample; based on the grade of the agglomeration degree of the red blood cell sample, taking a corresponding grade of processing on the red blood cell sample, and obtaining a detection result of the red blood cell sample; wherein the first measurement parameter includes mean corpuscular hemoglobin concentration, and the step of grading the agglomeration degree of the red blood cell sample based on the first measurement parameter of the red blood cell sample includes: in response to the mean corpuscular hemoglobin concentration being greater than a first threshold value and less than a second threshold value, determining that the agglomeration degree of the red blood cell sample is mild agglomeration; in response to the mean corpuscular hemoglobin concentration being greater than the second threshold value and less than a third threshold value, determining that the agglomeration degree of the red blood cell sample is moderate agglomeration; in response to the mean corpuscular hemoglobin concentration being greater than the third threshold value, determining that the agglomeration degree of the red blood cell sample is severe agglomeration; wherein the third threshold value is greater than the second threshold value, and the second threshold value is greater than the first threshold value.

6. The treatment method according to claim 5, characterized in that, The step of performing corresponding level processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining the detection result of the red blood cell sample includes: in response to the agglomeration degree of the red blood cell sample being mild agglomeration, performing optical detection on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample; determining the second measurement parameter as the detection result of the red blood cell sample.

7. The treatment method of claim 5, wherein The step of performing corresponding level processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining the detection result of the red blood cell sample further includes: in response to the agglomeration degree of the red blood cell sample being moderate agglomeration, performing incubation and deagglomeration processing on the red blood cell sample, and performing impedance re-inspection on the red blood cell sample after the incubation and deagglomeration processing to obtain a second measurement parameter of the red blood cell sample; determining the second measurement parameter as the detection result of the red blood cell sample.

8. The processing method of claim 5, wherein, The step of performing corresponding level processing on the red blood cell sample based on the agglomeration degree of the red blood cell sample and obtaining the detection result of the red blood cell sample further includes: in response to the agglomeration degree of the red blood cell sample being severe agglomeration, performing incubation and deagglomeration processing on the red blood cell sample, and performing heat dilution and deagglomeration processing on the red blood cell sample after the incubation and deagglomeration processing; performing impedance re-inspection on the red blood cell sample after the heat dilution and deagglomeration processing to obtain a second measurement parameter of the red blood cell sample; determining the second measurement parameter as the detection result of the red blood cell sample.

9. The processing method according to claim 5, wherein, The step of performing corresponding level processing on the red blood cell sample and obtaining the detection result of the red blood cell sample includes: performing corresponding level processing on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample; in response to the second measurement parameter being less than the first threshold value, determining the second measurement parameter as the detection result of the red blood cell sample.

10. The treatment method according to claim 9, characterized in that, After the step of performing corresponding level processing on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample, the processing method further includes: in response to the second measurement parameter being greater than the first threshold value, determining that the processing of the red blood cell sample fails, and issuing an alarm prompt.

11. The treatment method of claim 9, wherein, After the step of performing corresponding level processing on the red blood cell sample to obtain a second measurement parameter of the red blood cell sample, the processing method further includes: in response to the second measurement parameter being greater than the first threshold value, determining that the processing of the red blood cell sample fails, and then: in response to the agglomeration degree of the red blood cell sample before treatment being slight agglomeration, the red blood cell sample is treated to correspond to the moderate agglomeration degree; in response to the agglomeration degree of the red blood cell sample before treatment being moderate agglomeration, the red blood cell sample is treated to correspond to the severe agglomeration degree; in response to the agglomeration degree of the red blood cell sample before treatment being severe agglomeration, an alarm prompt is issued.

12. The treatment method according to claim 11, characterized in that, After the steps of in response to the agglomeration degree of the red blood cell sample before treatment being slight agglomeration, the red blood cell sample is treated to correspond to the moderate agglomeration degree, and in response to the agglomeration degree of the red blood cell sample before treatment being moderate agglomeration, the red blood cell sample is treated to correspond to the severe agglomeration degree, the processing method further comprises: obtaining a third measurement parameter of the red blood cell sample in the reprocessing corresponding to the moderate agglomeration and the severe agglomeration; in response to the third measurement parameter being greater than the first threshold value, determining that the processing of the red blood cell sample fails, and issuing an alarm prompt.

13. The treatment method of claim 9, wherein, After the step of treating the red blood cell sample to correspond to the processing level to obtain the second measurement parameter of the red blood cell sample, the processing method further comprises: in response to the second measurement parameter being greater than the first threshold value, the red blood cell sample is treated to correspond to the severe agglomeration degree.

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