Method, device and blood analyzer for white blood cell classification and counting

Abstract

The present invention provides a method, device and blood analyzer for white blood cell classification and counting, comprising: obtaining an initial white blood cell histogram of white blood cells in a blood sample, wherein the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; defining a blood shadow area in the initial white blood cell histogram; and correcting the blood shadow area to obtain a corrected lymphocyte area. The method, device and blood analyzer for white blood cell counting and classification according to the embodiments of the present invention can reduce or even eliminate the interference of the blood shadow area on the lymphocyte area in the white blood cell histogram, thereby improving the accuracy of white blood cell counting and classification.

Description

Technical Field

[0001] The present invention generally relates to the technical field of blood analysis, and more particularly to a method, apparatus, and hematology analyzer for differential white blood cell counting. Background Art

[0002] The impedance method is one of the classic methods for human white blood cell counting and classification, and is also widely used in animal white blood cell counting and classification. Animal white blood cell counting and classification play an important role in the diagnosis and treatment of animals. On the other hand, due to certain differences in the morphology of human blood cells and animal blood cells, in the actual detection process, the reaction conditions, reaction temperature, and reagent dosage are not exactly the same; especially the dosage of hemolytic agent has a significant impact on the detection of animal blood cells. For example: the same amount and concentration of hemolytic agent can destroy human red blood cells, and the white blood cell histogram of human blood has a good morphology and can fully meet the requirements of counting and classification. However, it cannot destroy the red blood cells of some animals, resulting in a large number of red blood cell fragments in the lymphocyte region at the front end of the animal white blood cell histogram, interfering with animal white blood cell classification and counting; if the dosage of hemolytic agent is increased, the destruction of animal white blood cells will be more obvious, resulting in a more overlapping volume distribution of each particle group in the white blood cell histogram, and causing serious inaccuracy in the classification results. Therefore, in the current detection of animal white blood cells, cell debris interference inevitably exists in the lymph region of the white blood cell histogram, affecting white blood cell counting and classification; this is the challenge that the impedance method currently faces in animal white blood cell detection. Summary of the Invention

[0003] The present invention is proposed to solve at least one of the above problems. Specifically, on the one hand, the present invention provides a method for differential white blood cell counting, the method comprising:

[0004] Obtaining an initial white blood cell histogram of white blood cells in a blood sample, wherein the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells;

[0005] Defining a blood shadow region in the initial white blood cell histogram;

[0006] Modifying the blood shadow region to obtain a modified lymphocyte region.

[0007] Exemplarily, defining a blood shadow region in the initial white blood cell histogram includes:

[0008] Obtaining a first demarcation line between the blood shadow region and the lymphocyte region in the initial white blood cell histogram, wherein the blood shadow region is a region with a volume smaller than the volume corresponding to the first demarcation line.

[0009] Exemplarily, the method for defining a blood shadow region in the initial white blood cell histogram includes:

[0010] Define the area with a volume smaller than the critical volume in the initial white blood cell histogram as the blood shadow area, and the first dividing line is located at the critical volume.

[0011] Exemplarily, obtaining the first dividing line between the blood shadow area and the lymphocyte area in the initial white blood cell histogram includes:

[0012] Obtain the first peak point of the initial white blood cell histogram starting from the minimum volume along the direction of increasing volume;

[0013] Determine the first dividing line based on the first peak point.

[0014] Exemplarily, the determining the first dividing line based on the first peak point includes:

[0015] Set the first dividing line at a position with a volume interval of a predetermined volume from the first peak point, and the volume corresponding to the first dividing line is greater than the volume of the first peak point.

[0016] Exemplarily, the determining the first dividing line based on the first peak point includes:

[0017] Start from the first peak point and search for the critical point where the slope of the initial white blood cell histogram curve is greater than the threshold slope for the first time along the direction of increasing volume. Then, the first dividing line is a straight line passing through the critical point and perpendicular to the horizontal axis of the coordinate system.

[0018] Exemplarily, the threshold slope is less than or equal to zero.

[0019] Exemplarily, obtaining the first dividing line between the blood shadow area and the lymphocyte area in the initial white blood cell histogram includes:

[0020] Obtain the first trough point of the initial white blood cell histogram starting from the minimum volume along the direction of increasing volume;

[0021] Determine the first dividing line based on the first trough point, where the first dividing line is set at a position with a volume interval of a predetermined volume from the first trough point, and the volume corresponding to the first dividing line is less than the volume of the first trough point.

[0022] Exemplarily, the method for defining the blood shadow area in the initial white blood cell histogram includes:

[0023] Start from the maximum volume and search for the first peak point on the initial white blood cell histogram along the direction of decreasing volume;

[0024] Set the first demarcation line at a position spaced from the first peak point by a predetermined volume, and the volume corresponding to the first demarcation line is less than the volume of the first peak point.

[0025] Exemplarily, a method for demarcating a ghost cell area in the initial white blood cell histogram includes:

[0026] Demarcate the ghost cell area in the initial white blood cell histogram according to the results of at least two white blood cell counts.

[0027] Exemplarily, the two white blood cell counts include a first white blood cell count and a second white blood cell count. The histogram of the first white blood cell count is the initial white blood cell histogram. Demarcating the ghost cell area in the initial white blood cell histogram according to the results of at least two white blood cell counts includes:

[0028] Obtain the threshold area of the ghost cell area based on the area of the histogram of the first white blood cell count and the threshold proportionality coefficient of the ghost cell area in the histogram of the first white blood cell count, where the threshold proportionality coefficient is obtained based on the result of the first white blood cell count and the result of the second white blood cell count;

[0029] Determine the first demarcation line between the ghost cell area and the lymphocyte area in the initial white blood cell histogram to demarcate the ghost cell area in the initial white blood cell histogram, where the first demarcation line is located at the position in the histogram of the first white blood cell count where the area is greater than or equal to the threshold area.

[0030] Exemplarily, the amount of lysing agent used in the first white blood cell count is less than the amount of lysing agent used in the second white blood cell count.

[0031] Exemplarily, the threshold area SGhost of the ghost cell area satisfies the following equation:

[0032] S Ghost / (S Ghost +S Wbc )=(WBC1 - WBC2) / WBC1

[0033] Where S Ghost +S Wbc is the area of the histogram of the first white blood cell count, the result of the first white blood cell count is WBC1, the result of the second white blood cell count is WBC2, and the threshold proportionality coefficient is the ratio of the difference between the result of the first white blood cell count WBC1 and the result of the second white blood cell count WBC2 to the result of the first white blood cell count WBC1.

[0034] Exemplarily, modifying the ghost region to obtain a modified lymphocyte region includes:

[0035] Removing the ghost region and compensating the lymphocyte region to obtain a modified lymphocyte region.

[0036] Exemplarily, the compensating the lymphocyte region includes:

[0037] Defining a compensation line for the lymphocyte region in the blank region of the ghost region removed from the initial white blood cell histogram to compensate the lymphocyte region.

[0038] Exemplarily, the compensation line passes through a predetermined point and a critical point located in the blank region, and the critical point is the intersection of the first demarcation line between the lymphocyte region and the ghost region and the curve of the initial white blood cell histogram.

[0039] Exemplarily, the predetermined point is a point on the horizontal axis of the rectangular coordinate system where the initial white blood cell histogram is located.

[0040] Exemplarily, the compensation line includes at least one of a straight line and a curve.

[0041] Exemplarily, the compensation line is obtained based on a predetermined function equation, and the method further includes:

[0042] Calculating the number of lymphocyte compensation particles for each volume between the predetermined point and the critical point on the compensation line based on the function equation;

[0043] Compensating the lymphocyte region based on the sum of the number of lymphocyte compensation particles for each volume.

[0044] Exemplarily, the function equation includes at least one of a linear function, a quadratic function, a polynomial function of degree three or higher, an exponential function, and a logarithmic function.

[0045] Exemplarily, the quadratic function is a convex function or a concave function.

[0046] Exemplarily, calculating the number of lymphocyte compensation particles for each volume between the predetermined point and the critical point on the compensation line based on the function equation specifically includes:

[0047] Calculating the number of lymphocyte compensation particles for each integer volume between the predetermined point and the critical point on the compensation line based on the function equation, where the number of lymphocyte compensation particles is an integer.

[0048] Exemplarily, the method further includes:

[0049] Before correcting the blood shadow region to obtain a corrected lymphocyte region, based on the initial white blood cell histogram, pre-classify the white blood cells to obtain different types of white blood cell regions, where the different types of white blood cell regions include a lymphocyte region, and the pre-classification is at least a binary classification; after correcting the blood shadow region to obtain a corrected lymphocyte region, based on the corrected lymphocyte region, obtain a corrected white blood cell histogram.

[0050] Exemplarily, the method further includes:

[0051] Based on the corrected lymphocyte region, obtain a corrected white blood cell histogram;

[0052] Based on the corrected white blood cell histogram, classify the white blood cells to obtain different types of white blood cell regions, where the different types of white blood cell regions include a lymphocyte region, and the classification is at least a binary classification.

[0053] Exemplarily, the classifying the white blood cells based on the corrected white blood cell histogram includes:

[0054] Starting from the minimum volume, obtain the first valley point in the corrected white blood cell histogram curve along the direction of increasing volume;

[0055] Based on the first valley point, delimit a second demarcation line between the corrected lymphocyte region and other white blood cell regions with a volume larger than that of the lymphocytes.

[0056] Exemplarily, the first valley point is the valley point between the first peak point and the second peak point obtained starting from the minimum volume along the direction of increasing volume.

[0057] Exemplarily, the second demarcation line is spaced from the first valley point by a first predetermined volume, and the volume corresponding to the second demarcation line is smaller than the volume of the first valley point.

[0058] Exemplarily, the other white blood cells include first-class white blood cells, second-class white blood cells, and third-class white blood cells with increasing volumes in sequence, where the second demarcation line is the demarcation line between the lymphocytes and the first-class white blood cells, and the classifying the white blood cells based on the corrected white blood cell histogram further includes:

[0059] Based on the first valley point, delimit a third demarcation line between the first-class white blood cells and the second-class white blood cells and based on the first valley point or the second peak point, delimit a fourth demarcation line between the second-class white blood cells and the third-class white blood cells.

[0060] Exemplarily, the third demarcation line is spaced from the first trough point by a second predetermined volume, the fourth demarcation line is spaced from the first trough point by a third predetermined volume, and the third predetermined volume is greater than the second predetermined volume.

[0061] Exemplarily, the volume corresponding to the third demarcation line is greater than the volume of the first trough point, and the volume corresponding to the fourth demarcation line is greater than the volume of the first trough point.

[0062] Exemplarily, before the step of classifying the white blood cells based on the corrected white blood cell histogram, the method further includes:

[0063] Performing a filtering process on the corrected white blood cell histogram.

[0064] Exemplarily, the rectangular coordinate system in which the initial white blood cell histogram and the corrected white blood cell histogram are located has the cell volume size as the abscissa and the number of cell particles of different volumes as the ordinate. Wherein, the method further includes:

[0065] Based on the sum of the number of cell particles corresponding to each volume in different types of white blood cell regions in the corrected white blood cell histogram, calculating the total number of cell particles included in different types of white blood cell regions.

[0066] Exemplarily, the initial white blood cell histogram is obtained based on impedance measurement of a blood sample.

[0067] Exemplarily, the white blood cells include animal white blood cells.

[0068] On the other hand, the present invention provides an apparatus for classifying and counting white blood cells. The apparatus includes one or more processors that work jointly or separately, and the processors are used to execute the foregoing method for counting and classifying white blood cells.

[0069] Exemplarily, the apparatus further includes:

[0070] A detection device for detecting white blood cells in a blood sample and outputting a pulse signal when the white blood cells pass through a detection aperture in the detection device. Wherein, the number of the pulse signals is proportional to the number of cells, and the height of the pulse signal is proportional to the cell volume;

[0071] A counting device for acquiring the pulse signals and obtaining an initial white blood cell histogram based on the pulse signals.

[0072] On yet another aspect, the present invention provides a blood analyzer, characterized in that the blood analyzer includes the foregoing apparatus for classifying and counting white blood cells.

[0073] The method, apparatus, and hematology analyzer for white blood cell counting and classification according to embodiments of the present invention obtain an initial white blood cell histogram of white blood cells in a blood sample, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; delimit a blood shadow area in the initial white blood cell histogram; and correct the blood shadow area to obtain a corrected lymphocyte area, thereby reducing or even eliminating the interference of the blood shadow area on the lymphocyte area in the white blood cell histogram and improving the accuracy of white blood cell counting and classification. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other accompanying drawings based on these drawings without creative efforts.

[0075] Figure 1 Shows a conventional three-class histogram of white blood cells in a human blood sample;

[0076] Figure 2 Shows a conventional four-class histogram of white blood cells in a dog blood sample;

[0077] Figure 3 Shows the same dog blood sample as shown in Figure 2 after increasing the amount and concentration of the hemolytic agent, the obtained white blood cell histogram;

[0078] Figure 4 Shows a flowchart of the method for white blood cell classification and counting in an embodiment of the present invention;

[0079] Figure 5 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the first example of the present invention;

[0080] Figure 6 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the second example of the present invention;

[0081] Figure 7 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the third example of the present invention;

[0082] Figure 8 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the fourth example of the present invention;

[0083] Figure 9 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the fifth example of the present invention;

[0084] Figure 10 Shows a schematic diagram of the blood shadow area delimited in the initial white blood cell histogram in the sixth example of the present invention;

[0085] Figure 11 Shows a schematic diagram of compensating for lymphocyte particles on the initial histogram in an embodiment of the present invention;

[0086] Figure 12 Shows a schematic diagram of compensating for lymphocyte particles on the initial histogram in another embodiment of the present invention;

[0087] Figure 13 Shows a schematic diagram of compensating for lymphocyte particles on the initial histogram in yet another embodiment of the present invention;

[0088] Figure 14 Shows a schematic diagram of four - category classification of the corrected white blood cell histogram in an embodiment of the present invention;

[0089] Figure 15 Shows a schematic block diagram of an example electronic device for implementing a method and apparatus for white blood cell classification and counting according to an embodiment of the present invention;

[0090] Figure 16 Shows a schematic block diagram of an apparatus for white blood cell classification and counting in an embodiment of the present invention. Detailed implementation manners

[0091] In order to make the objectives, technical solutions and advantages of the present invention more apparent, the exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein. Based on the embodiments of the present invention described herein, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0092] In the following description, a large number of specific details are given to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some well - known technical features in the art are not described. It should be understood that the present invention can be implemented in different forms and should not be construed as limited to the embodiments presented herein. On the contrary, providing these embodiments will make the disclosure thorough and complete, and will fully convey the scope of the present invention to those skilled in the art.

[0093] The purpose of the terms used herein is only to describe specific embodiments and is not a limitation of the present invention. As used herein, the singular forms "a", "an" and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the terms "comprising" and / or "including", when used in this specification, identify the presence of the stated features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups. As used herein, the term "and / or" includes any and all combinations of the related listed items.

[0094] Below, the problems existing in the classification of animal white blood cells are shown through histograms of various types of sample white blood cells. Under the condition of the same amount and concentration of lysing agent, the white blood cell histogram of human blood sample is as Figure 1 shown, and the white blood cell histogram of animals (taking dog blood sample as an example) is as Figure 2 shown; when the lysing agent is continuously increased, the white blood cell histogram of the same animal blood sample is as Figure 3 shown. Figure 1 In [figure reference], GOHST is the ghost, LYM is lymphocyte, MID is mid-sized cell, GRAN is granulocyte, Figure 2 , 3 and [figure reference] also includes MON as monocyte, EOS as eosinophil, and NEU as neutrophil.

[0095] It can be seen from the Figure 1 shown histogram that under this condition, in the white blood cell histogram of human blood sample, the white blood cell particle clusters are more widely distributed, and the lymphocyte region is less interfered by the ghost region, and good white blood cell counting and classification effects can be achieved; however, for the animal blood sample as Figure 2 shown, although the white blood cell particle groups are more widely distributed, the LYM particles in the histogram are severely interfered by GHOST, significantly affecting the accuracy of LYM classification; when the lysing agent is increased, the white blood cell histogram of animals (such as dogs) is as Figure 3 shown. Although the influence of LYM by GHOST is greatly reduced, the particle groups of the overall white blood cell histogram are more closely compressed, which is not conducive to white blood cell classification (especially LYM and MON).

[0096] Therefore, in view of the technical problem that during the detection of blood samples (especially animal blood samples), the lymphocyte region in the white blood cell histogram is interfered by blood shadows (i.e., cell debris), resulting in inaccurate white blood cell counting and classification, an improved method for classifying and counting white blood cells is proposed in the embodiments of the present invention. The method includes: obtaining an initial white blood cell histogram of white blood cells in the blood sample, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; demarcating the blood shadow region in the initial white blood cell histogram; and correcting the blood shadow region to obtain a corrected lymphocyte region. By the above method, the interference of the blood shadow region on the lymphocyte region in the white blood cell histogram is weakened or even eliminated, the accuracy of lymphocyte classification and counting is improved, and further the accuracy of white blood cell counting and classification is improved.

[0097] To thoroughly understand the present invention, detailed structures will be presented in the following description to illustrate the technical solutions proposed by the present invention. Optional embodiments of the present invention are described in detail below. However, in addition to these detailed descriptions, the present invention may have other implementation manners.

[0098] Specifically, the method for classifying and counting white blood cells of the present application will be described in detail below with reference to the accompanying drawings. Without conflict, the features in the following embodiments and implementation manners can be combined with each other.

[0099] In one embodiment, as Figure 4 shown, the method for classifying and counting white blood cells in the embodiments of the present invention includes the following steps S401 to S403:

[0100] First, in step S401, an initial white blood cell histogram of white blood cells in the blood sample is obtained, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells.

[0101] The above blood sample can be any animal or human blood sample, which includes white blood cells and can be obtained by treating whole blood drawn from an animal body with a diluent, a hemolytic agent, etc. Among them, the diluent is an isotonic solution with acid-base buffering effect, appropriate ionic strength and conductivity. For example, the diluent mainly contains hypoxanthine or xanthine compounds or their salts, or it can also be other diluents that can play the above roles. The role of the hemolytic agent is to lyse red blood cells for white blood cell classification and counting. The hemolytic agent includes surfactants, which specifically can include cationic surfactants and non-ionic surfactants. Among them, the usage amount and concentration of the hemolytic agent can be reasonably selected according to actual sample preparation requirements, and no specific limitation is imposed on it here. The hemolytic agent can mainly contain quaternary ammonium salt ionic surfactants, or it can also be any other surfactant that can play the above roles.

[0102] The initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells. For example, in the histogram shown in the attached figure, the rectangular coordinate system where the histogram is located has the cell volume size as the abscissa and the number of cell particles of different volumes (such as including white blood cells and blood ghosts) as the ordinate.

[0103] The initial histogram can be obtained by detecting the blood sample through any suitable detection method. For example, the initial white blood cell histogram is obtained based on impedance measurement of the blood sample. Optionally, the initial white blood cell histogram can be Figure 2 the animal white blood cell histogram shown in

[0104] Continue to refer to Figure 4 , in step S402, a blood ghost area is delimited in the initial white blood cell histogram.

[0105] A blood ghost area can be delimited in the initial white blood cell histogram by any suitable method. For example, delimiting a blood ghost area in the initial white blood cell histogram specifically includes: obtaining a first demarcation line between the blood ghost area and the lymphocyte area in the initial white blood cell histogram. The blood ghost area is the area with a volume smaller than the volume corresponding to the first demarcation line. A blood ghost is the cell debris produced after the action of a hemolytic agent on red blood cells. Usually, its volume is smaller than that of white blood cells. Therefore, on the histogram, it is located on the left side of the first demarcation line, that is, the blood ghost area is the area in the initial histogram with a volume smaller than the volume corresponding to the first demarcation line. Optionally, the above first demarcation line is a straight line perpendicular to the abscissa axis in the rectangular coordinate system where the initial histogram is located.

[0106] A blood ghost area can be delimited in the initial histogram by a variety of suitable methods. The following refers to Figures 5 to 10 for a specific description of the methods in the first to sixth examples, but it should be understood that the following methods are only examples, and other suitable methods can also be applied to this application.

[0107] In the first example, as Figure 5 shown, the method for delimiting a blood ghost area in the initial white blood cell histogram includes: delimiting the area in the initial white blood cell histogram with a volume smaller than the critical volume as the blood ghost area, and the first demarcation line is located at the critical volume. The critical volume can be reasonably set according to prior experience. For example, under specific reaction conditions, reaction temperature, and reagent (including hemolytic agent and diluent) dosage, through multiple detections, the critical volume under these specific conditions, especially under a specific hemolytic agent dosage, can be obtained. The critical volume can be the position of the first demarcation line between the blood ghost area and the lymphocyte area in the initial white blood cell histogram in prior experience. For example, as Figure 5As shown, the critical volume is 48 fL, and the first demarcation line is located at this critical volume. Among them, under different reaction conditions, reaction temperatures, and dosages of reagents (including hemolyzing agents and diluents), this critical volume will also be different, and it can be reasonably adjusted according to the actual situation. For example, this critical volume can decrease with the increase in the amount and concentration of the hemolyzing agent.

[0108] Specifically, the first demarcation line in the initial white blood cell histogram of the blood shadow region and the lymphocyte region can be obtained. The blood shadow region is the region with a volume smaller than the volume corresponding to the first demarcation line, that is, the region to the left of the first demarcation line in the initial histogram. Among them, the above first demarcation line can be obtained by any suitable method. For example, starting from the minimum volume and moving along the direction of increasing volume, the first peak point of the initial white blood cell histogram is obtained; based on the first peak point, the first demarcation line is determined. Usually, the first demarcation line is located to the left of the first peak point, that is, the volume corresponding to the first demarcation line is greater than the volume of the first peak point. The specific position of the first demarcation line based on the first peak point can be determined by the examples shown below in Figure 6 and Figure 7 as shown.

[0109] In the second example as shown in Figure 6 when determining the first demarcation line based on the first peak point, it includes: starting from the first peak point A and moving along the direction of increasing volume to find the critical point B where the slope of the initial white blood cell histogram curve is greater than the threshold slope K for the first time. Then, the first demarcation line is the straight line passing through this critical point B and perpendicular to the horizontal axis (also called the abscissa) of the right-angle coordinate system where the histogram is located. Usually, to the right of the first peak point A, the curve of the initial white blood cell histogram shows a downward trend, and the slope of the points on the curve within a predetermined segment starting from the first peak point A of the initial white blood cell histogram is less than or equal to 0. Therefore, the value of the threshold slope K is set to be less than or equal to zero. Specifically, the value of the threshold slope K can be set according to the actual situation. Among them, the blood shadow region can be directly determined according to this critical point B. If the volume of the critical point B is equal to N (fL), then the region with a volume V less than this N (fL) on the initial white blood cell histogram is the blood shadow region. For example, the threshold slope K is set to -2.6, and the slope of the curve at the critical point B is -2.0. -2.0 is greater than 2.6, and the volume N (fL) of the critical point B is equal to 46 fL. Then, the region with a volume V less than this 46 fL on the initial white blood cell histogram is the blood shadow region.

[0110] In the example as shown in Figure 7In the third example shown, determining the first demarcation line based on the first peak point includes: setting the first demarcation line at a position with a volume interval of a predetermined volume M from the volume of the first peak point, and the volume corresponding to the first demarcation line is greater than the volume of the first peak point, that is, the first demarcation line is located at a position on the right side of the first peak point with a volume interval of the predetermined volume M from the first peak point. This predetermined volume M can be reasonably set according to prior experience. For example, under specific reaction conditions, reaction temperatures, and dosages of reagents (including hemolysins and diluents), through multiple detections, the volume of the first peak point under these specific conditions, especially under a specific hemolysin dosage, and the volume between the position of the first demarcation line between the blood shadow region and the lymphocyte region in the initial white blood cell histogram and the first peak point are obtained, so as to determine the predetermined volume M. For example, as Figure 7 shown, under different reaction conditions, reaction temperatures, and dosages of reagents (including hemolysins and diluents), the position of the first peak point and the value of the predetermined volume M will also be different, and can be reasonably adjusted according to the actual situation. For example, the position of the first peak point can move to the left as the amount and concentration of the hemolysin increase, that is, the corresponding volume will decrease, and the predetermined volume M will also change, for example, it will also decrease.

[0111] In the case of Figure 8 shown in the fourth example, obtaining the first demarcation line between the blood shadow region and the lymphocyte region in the initial white blood cell histogram includes: starting from the minimum volume and obtaining the first trough point N of the initial white blood cell histogram along the direction of increasing volume; determining the first demarcation line based on the first trough point, where the first demarcation line is set at a position with a volume interval of a predetermined volume from the volume of the first trough point, and the volume corresponding to the first demarcation line is less than the volume of the first trough point. A reasonable predetermined volume can be set according to prior experience. For example, if the volume of the first trough point is 70 fL and the predetermined volume is 22 fL, then the first demarcation line is located at 48 fL, so that the blood shadow region is the region on the initial histogram with a volume less than 48 fL.

[0112] Furthermore, for example, it can also be through Figure 9The method in the fifth example shown delineates a ghost cell region in the initial white blood cell histogram, specifically including: starting from the maximum volume and searching for the first peak point P on the initial white blood cell histogram in the direction of decreasing volume (for example, starting from the right side of the initial white blood cell histogram and moving to the left) (this first peak point is, for example, the peak point of the Neu region); setting the first dividing line Q at a position spaced a predetermined volume S from the first peak point P, and the volume corresponding to the first dividing line Q is less than the volume of the first peak point P, then the first dividing line is located at the volume obtained by subtracting the predetermined volume from the volume of the first peak point. A reasonable predetermined volume can be set according to prior experience. For example, if the volume of the first peak point is 125 fL and the predetermined volume S is 77 fL, the first dividing line is located at 48 fL, so that the ghost cell region is the region on the initial histogram with a volume less than 48 fL.

[0113] In other examples, the method for delineating a ghost cell region in the initial white blood cell histogram includes: delineating a ghost cell region in the initial white blood cell histogram according to the results of at least two white blood cell counts. Among them, the results of at least two white blood cell counts include the results of two, three or more white blood cell counts.

[0114] Optionally, the at least two white blood cell counts include a first white blood cell count and a second white blood cell count. The histogram of the first white blood cell count is the initial white blood cell histogram. Delineating a ghost cell region in the initial white blood cell histogram according to the results of at least two white blood cell counts includes steps S1 and S2:

[0115] In step S1, based on the area of the histogram of the first white blood cell count and the threshold proportional coefficient of the ghost cell region in the histogram of the first white blood cell count, the threshold area of the ghost cell region is obtained; among them, the above threshold proportional coefficient can be determined based on any suitable method. For example, the threshold proportional coefficient is obtained based on the results of the first white blood cell count and the results of the second white blood cell count.

[0116] Exemplarily, the amount of lysing agent used in the first white blood cell count is less than the amount of lysing agent used in the second white blood cell count. For example, assuming that two counts are performed on animal white blood cells, for the same animal blood sample, the white blood cell classification histogram obtained in the first count can be as Figure 2 shown. By performing a counting statistic on this white blood cell histogram, the result of the first white blood cell count WBC1 can be obtained. The white blood cell classification histogram obtained in the second count with an increased amount and concentration of lysing agent is as Figure 3 shown. By performing a counting statistic on the white blood cell histogram, the result of the second white blood cell count WBC2 can be obtained.

[0117] Due to different hemolysis doses, the result of the first white blood cell count is high due to the interference of blood shadows. For the second white blood cell count, since there is more hemolytic agent, the blood shadows formed by the cell debris after the destruction of red blood cells and platelets have less impact on white blood cells and can be ignored. The result of the second white blood cell count can be considered the true value, and WBC2 ≤ WBC1. Then, the threshold area SGhost of the blood shadow region satisfies the following equation:

[0118] S Ghost / (S Ghost +S Wbc )=(WBC1 - WBC2) / WBC1

[0119] Wherein, S Ghost +S Wbc is the area of the entire histogram of the first white blood cell count, the result of the first white blood cell count is WBC1, the result of the second white blood cell count is WBC2, and the threshold ratio coefficient is the ratio of the difference between the result of the first white blood cell count WBC1 and the result of the second white blood cell count WBC2 to the result of the first white blood cell count WBC1.

[0120] In another example, if multiple (e.g., greater than or equal to 3 times) animal white blood cell counts are performed; select the white blood cell histogram of one weak hemolysis (less hemolytic agent concentration and amount) as the second white blood cell count; select the white blood cell histogram of one count from other strong hemolysis doses (more hemolytic agent concentration and amount, that is, the amount of hemolytic agent is greater than the amount of hemolytic agent used in the first white blood cell count) as the second white blood cell count. Similarly, the threshold area of the blood shadow region in the white blood cell histogram of the first white blood cell count can be obtained based on the foregoing method.

[0121] In step S2, based on the threshold area, determine the first demarcation line between the blood shadow region and the lymphocyte region in the initial white blood cell histogram to demarcate the blood shadow region in the initial white blood cell histogram. Among them, the first demarcation line is located at the position where the area in the histogram of the first white blood cell count is greater than or equal to the threshold area. For example, based on the histogram of the first white blood cell count, starting from the smallest volume, the areas of S are successively superimposed in the direction of increasing volume, and when S is first greater than or equal to the threshold area, the position is determined as the position of the first demarcation line of the histogram of the first white blood cell count, that is, the position of the first demarcation line of the initial white blood cell histogram.

[0122] For example, in the sixth example as Figure 10 shown, the result of the first white blood cell count WBC1 = 18.4*10^9 / L, the result of the second white blood cell count is WBC2 = 13.6*10^9 / L, and the total area S Ghost +SWbc = 13850; Then, through the above formula, S can be calculated as Ghost = 3613; By successively superimposing an area of S on the left side of the histogram of the first white blood cell count, and when S is greater than or equal to S for the first time Ghost The position of the first boundary line between the GHOST and lymphocyte regions is at this point. For example, the first boundary line is located at a volume N = 49 fL, and the ghost region is located in the region of the white blood cell histogram of the first white blood cell count where the volume is less than the volume corresponding to the first boundary line.

[0123] Subsequently, continue to refer to Figure 4 , in step S403, correct the ghost region to obtain a corrected lymphocyte region.

[0124] After determining the position of the ghost region in the initial white blood cell histogram based on the above steps, if direct white blood cell classification is performed, such as binary classification, ternary classification, quaternary classification, or quinary classification, etc., due to the interference of the ghost on the lymphocyte region, the percentage of lymphocytes will be low. Therefore, the method of this step can be used to correct the lymphocyte region.

[0125] In a specific example, correcting the ghost region to obtain a corrected lymphocyte region includes: removing the ghost region and compensating the lymphocyte region, that is, compensating lymphocyte particles on the initial histogram to obtain a corrected lymphocyte region, weakening or even eliminating the interference of the ghost region on the lymphocyte region in the white blood cell histogram, and improving the accuracy of white blood cell counting and classification.

[0126] Through Figure 3It can be seen that in the white blood cell histogram without or with very little interference from the ghost image, the lymphocyte particle cluster usually starts from a distribution area around 20 fL. After removing the ghost image area from the original white blood cell histogram, if the lymphocyte area is not compensated, the lymphocyte particle cluster starts from a distribution area around, for example, 50 fL. Since 50 fL is greater than 20 fL, it can be seen that actually removing the ghost image also removes a part of the lymphocyte particles, resulting in a lower LYM classification and count. Therefore, it is necessary to compensate the lymphocyte area of the white blood cell histogram after removing the ghost image. The lymphocyte area can be compensated on the original histogram by any suitable method. For example, a compensation line for the lymphocyte area can be demarcated in the blank area after removing the ghost image area in the original white blood cell histogram to compensate the lymphocyte area, that is, the number of cell particles defined by the compensation line on the original histogram is compensated into the number of particles in the lymphocyte population. A reasonable number defined by the compensation line is compensated into the lymphocytes to solve the problem that the percentage of the lymphocyte area is low due to the interference of the ghost image area on the lymphocyte area in the white blood cell histogram, and improve the accuracy of lymphocyte counting and classification.

[0127] The above compensation line can include at least one of a straight line and a curve. For example, it can be a straight line, a curve, a line formed by connecting multiple straight lines and curves end to end, or a line formed by connecting at least two straight lines with different slopes end to end, or a line formed by connecting different curves end to end, or other suitable lines.

[0128] In one example, the compensation line passes through a predetermined point and a critical point located in the blank area after removing the ghost image area. The critical point is the intersection of the first demarcation line between the lymphocyte area and the ghost image area and the curve of the original white blood cell histogram. The predetermined point can be reasonably selected according to actual needs, for example, reasonably set according to the number of particles to be compensated into the lymphocyte population, or set according to prior knowledge. Optionally, the predetermined point is a point on the horizontal axis of the rectangular coordinate system where the original white blood cell histogram is located, that is, the number of cell particles at the coordinate of the predetermined point is zero.

[0129] In one example, the compensation line can be obtained based on a predetermined function equation, which includes at least one of a linear function, a quadratic function, a polynomial function of degree three or higher, an exponential function, and a logarithmic function, or other suitable function equations. It should be noted that regardless of which function equation the compensation line is obtained from, the compensation line must also pass through a predetermined point and a critical point. Alternatively, the type of the predetermined function equation can be set first, such as a linear function or a quadratic function, etc., and then the coordinates of the predetermined point and the critical point in the initial histogram are used to calculate the predetermined function equation through calculation.

[0130] Furthermore, the method further includes: calculating the number of lymphocyte compensation particles for each volume between the predetermined point and the critical point on the compensation line based on the function equation; compensating the lymphocyte region based on the sum of the number of lymphocyte compensation particles for each volume, that is, compensating the number of particles in the lymphocyte population. Preferably, calculating the number of lymphocyte compensation particles for each integer volume between the predetermined point and the critical point on the compensation line based on the function equation, where the number of lymphocyte compensation particles is an integer. Alternatively, the number of lymphocyte compensation particles can also be obtained by multiplying the proportion of the area of the region defined by the compensation line in the area of the entire initial white blood cell histogram by the total number of cell particles represented by the initial white blood cell histogram, and the number of lymphocyte compensation particles is rounded during the calculation process.

[0131] Next, refer to Figures 11 to 13 Specific descriptions of several methods for compensating the lymphocyte region will be given, but it should be understood that the following methods are only examples, and other suitable methods are also applicable to this application.

[0132] In the example as Figure 11 shown, a straight line is used to compensate the lymphocyte region in the initial histogram. For example, the straight line equation used is y = k*V + b, where k > 0. First, the blood shadow region delimited by the previous step is removed, and then a straight line is taken starting from the predetermined point A and compensated to the critical point B as the LYM compensation part on the left side in the initial white blood cell histogram, as Figure 11As shown, among them, the critical point B is the intersection point of the first demarcation line between the determined GHOST and LYM and the initial white blood cell histogram curve. The predetermined point A can be reasonably set according to the actual situation. For example, the coordinates of the predetermined point A in the initial white blood cell histogram are (20, 0), and the coordinates of the critical point B can be determined according to the steps in the aforementioned delineation of the blood shadow area. For example, according to the coordinates of the predetermined point A and the critical point B, the equation of the straight line AB can be calculated (y = 5.8*(V - 20), where V is the volume of the cell particle between point A and point B, and y is the number of cell particles with volume V). Furthermore, through the straight line equation, the number of LYM compensation particles for each volume size (here the volumes are all integers) from point A to point B (for example, the volume of point B is rounded to 50 fL) can be calculated (the particles calculated by the straight line equation are also rounded), and then the total number of LYM compensation particles for each volume size is used to compensate the number of particles in the LYM population.

[0133] In the example as Figure 12 and Figure 13 shown, a quadratic polynomial is used to compensate the LYM region. The quadratic polynomial (i.e., quadratic function) is y = a*V 2 + b*V + c. First, remove the blood shadow area delineated through the aforementioned steps, and then start from the predetermined point A (which can be reasonably set according to the actual situation, such as A(20, 0)) and make a quadratic polynomial compensation to the critical point B as the LYM compensation part on the left side of the white blood cell histogram. This quadratic polynomial can be a convex function or a concave function. If it is a convex function, an example is as Figure 12 shown, the equation of points A and B can be: y = -0.48*V 2 + 30.72*V - 421.52; if it is a concave function, an example is as Figure 13 shown, the equation of points A and B can be: y = 0.48*V 2 - 19.2*V + 192. Similarly, the number of LYM compensation particles for each volume size (here the volumes are all integers) from point A to point B (for example, the volume of point B is rounded to 50 fL) can be calculated through the equation (the particles calculated by the equation are also rounded), and then the total number of LYM compensation particles for each volume size is used to compensate the number of particles in the LYM population.

[0134] In one example, the method of the embodiment of the present invention further includes: before correcting the blood shadow region to obtain a corrected lymphocyte region, pre-classifying the white blood cells based on the initial white blood cell histogram to obtain different types of white blood cell regions, where the different types of white blood cell regions include lymphocyte regions, and the pre-classification is at least a binary classification; after correcting the blood shadow region to obtain a corrected lymphocyte region, obtaining a corrected white blood cell histogram based on the corrected lymphocyte region, and the corrected white blood cell histogram is already a classified white blood cell histogram. Subsequently, the number of particles of each classification can be statistically calculated based on the corrected white blood cell histogram.

[0135] In another example, the method of the embodiment of the present invention further includes: obtaining a corrected white blood cell histogram based on the corrected lymphocyte region; classifying the white blood cells based on the corrected white blood cell histogram to obtain different types of white blood cell regions, where the different types of white blood cell regions include lymphocyte regions, and the lymphocyte regions are the lymphocyte regions corrected by the method of the foregoing steps. The classification is at least a binary classification, such as binary classification, ternary classification, quaternary classification, quinary classification, etc. Among them, according to the different types of blood samples, the classification of white blood cells may vary. For example, taking the white blood cells of an animal such as a dog as an example, starting from the minimum volume and along the direction of increasing volume, the white blood cells are sequentially classified into lymphocyte population LYM, monocyte population MON, neutrophil population NEU, and eosinophil population EOS.

[0136] Any suitable method can be used to classify the white blood cells in the corrected white blood cell histogram. For example, in one example, the classifying the white blood cells based on the corrected white blood cell histogram includes: obtaining the first trough point in the corrected white blood cell histogram curve starting from the minimum volume and along the direction of increasing volume. Optionally, the first trough point is the trough point between the first peak point and the second peak point obtained starting from the minimum volume and along the direction of increasing volume; delimiting a second boundary line between the corrected lymphocyte region and other white blood cell regions with a volume larger than that of the lymphocytes based on the first trough point. Optionally, the second boundary line is spaced from the first trough point by a first predetermined volume, and the volume corresponding to the second boundary line is smaller than the volume of the first trough point, that is, the second boundary line is located on the left side of the first trough point. Among them, the first predetermined volume can be reasonably set according to prior knowledge and can be appropriately adjusted for different detection conditions. No specific limitation is imposed on it here.

[0137] Optionally, in addition to lymphocytes included in the white blood cells, other white blood cells include first-class white blood cells, second-class white blood cells, and third-class white blood cells with sequentially increasing volumes. For example, asFigure 14 As shown, the first type of white blood cells are the monocyte group MON, the neutrophil group NEU, and the eosinophil group EOS. Among them, the second dividing line is the dividing line between the lymphocytes and the first type of white blood cells. It can also be further divided by any suitable method, including the third dividing line between the first type of white blood cells and the second type of white blood cells, and the fourth dividing line between the second type of white blood cells and the third type of white blood cells. For example, based on the corrected white blood cell histogram, classifying the white blood cells further includes: delimiting the third dividing line between the first type of white blood cells and the second type of white blood cells and the fourth dividing line between the second type of white blood cells and the third type of white blood cells based on the first trough point. Among them, the third dividing line is spaced from the first trough point by a second predetermined volume, and the fourth dividing line is spaced from the first trough point by a third predetermined volume, and the third predetermined volume is greater than the second predetermined volume. Among them, the volume corresponding to the third dividing line is greater than the volume of the first trough point, and the volume corresponding to the fourth dividing line is greater than the volume of the first trough point, that is, both the third dividing line and the fourth dividing line are on the right side of the first trough point, and the fourth dividing line is on the right side of the third dividing line.

[0138] The foregoing first predetermined volume, second predetermined volume, and third predetermined volume can be reasonably set according to prior experience. For example, according to the classification results of the white blood cell histogram in prior experience, such as the interval volume between the volume corresponding to each dividing line and the volume of the first trough point, the first predetermined volume, second predetermined volume, and third predetermined volume are set to make the classification more accurate.

[0139] In one example, before the step of classifying the white blood cells based on the corrected white blood cell histogram, it further includes: a step of performing filtering processing on the corrected white blood cell histogram, and this filtering processing can remove the noise points in the corrected white blood cell histogram, so that the result of using the corrected white blood cell histogram for counting is more accurate.

[0140] The above classification method is also equally applicable to pre-classifying the initial white blood cell histogram.

[0141] Take Figure 12 The method of using a convex function for LYM compensation as an example, and obtain as Figure 14For the corrected white blood cell histogram shown, filter the corrected white blood cell histogram, and then separately find the first peak point A and the second peak point B in the corrected white blood cell histogram. Find the first trough point C between points A and B. A certain distance (i.e., a predetermined volume interval) to the left and right of the first trough point C is respectively the boundary between LYM and MON and the boundary between MON and NEU. Looking for a certain distance (i.e., a predetermined volume interval) to the right of the second peak point B is the boundary between NEU and EOS, or alternatively, looking for a certain distance (i.e., a predetermined volume interval) to the right based on the first trough point is the boundary between NEU and EOS, thereby completing the four-category classification of the corrected white blood cell histogram.

[0142] Randomly select animal samples (taking dog blood samples as an example). After removing the blood shadow and compensating for LYM in the white blood cell histogram, the classification results are shown in the following table:

[0143]

[0144] It can be seen from the above table that the classification result of the corrected lymphocyte region obtained by compensating for lymphocytes based on the method of this application is closer to the reference value (i.e., the true value) than before compensation. Therefore, based on the method of this application, the interference of the blood shadow region on the lymphocyte region in the white blood cell histogram can be weakened or even eliminated, the accuracy of lymphocyte classification and counting can be improved, and further the accuracy of white blood cell counting and classification can be improved.

[0145] After realizing the classification of the corrected white blood cell histogram, based on the above classification results, the number of cell particles included in each classification result can be counted. In one example, in the rectangular coordinate system where the initial white blood cell histogram and the corrected white blood cell histogram are located, with the cell volume size as the abscissa, based on the sum of the number of cell particles (both the volume and the number can be rounded) corresponding to each volume (which can be rounded) in different types of white blood cell regions in the corrected white blood cell histogram, calculate the total number of cell particles included in different types of white blood cell regions. Among them, the corrected lymphocyte region includes the region delimited based on the aforementioned compensation line. In other examples, the total number of cell particles in each cell population can also be calculated based on the area occupied by each type of cell region in the corrected white blood cell histogram. For example, the total number of cell particles can be obtained based on the initial white blood cell histogram, and based on the percentage of the area of the corrected lymphocyte region in the total area of the initial white blood cell histogram, calculate the total number of particles in the lymphocyte population corresponding to the corrected lymphocyte region by multiplying the total number of cell particles by this percentage. The number of particles in other white blood cell classifications can be calculated according to the same method.

[0146] In summary, according to the method of the embodiments of the present invention, by obtaining an initial white blood cell histogram of white blood cells in a blood sample, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; demarcating a blood shadow area in the initial white blood cell histogram; and correcting the blood shadow area to obtain a corrected lymphocyte area, thereby reducing or even eliminating the interference of the blood shadow area on the lymphocyte area in the white blood cell histogram and improving the accuracy of white blood cell counting and classification.

[0147] Next, with reference to Figure 15 an example electronic device 150 for implementing the method and apparatus for white blood cell classification and counting according to the embodiments of the present invention will be described.

[0148] In one example, as Figure 15 shown, the electronic device 150 may include one or more processors 151, one or more storage devices 152, an input device 153, an output device 154, and a communication interface 155, and these components are interconnected through a bus system 156 and / or other forms of connection mechanisms (not shown). It should be noted that Figure 15 the components and structure of the electronic device 150 shown are exemplary and not restrictive. According to requirements, the electronic device may also have other components and structures.

[0149] The processor 151 may be a central processing unit (CPU), an image processing unit (GPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the white blood cell counting and classification device to perform desired functions. The processor is capable of executing programs and / or instructions stored in the storage device to perform the white blood cell counting and classification methods described herein. For example, the processor 151 may include one or more embedded processors, processor cores, microprocessors, logic circuits, hardware finite state machines (FSMs), digital signal processors (DSPs), or combinations thereof.

[0150] The storage device 152 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage media, and the processor 151 may run the program instructions to implement the functions (implemented by the processor) in the embodiments of the present invention described herein and / or other desired functions. Various application programs and various data may also be stored in the computer-readable storage media, such as various data used and / or generated by the application programs, etc.

[0151] The input device 153 may be a device used by a user to input instructions (for example, in the method of white blood cell count classification according to the embodiments of the present invention described herein, the user may input parameters such as a function equation related to the compensation line, a predetermined volume at the time of dividing the boundary line, etc.), and may include one or more of a keyboard, a mouse, a microphone, a touch screen, etc. In addition, the input device 153 may also be any interface for receiving information.

[0152] The output device 154 may output various information (such as images or sounds) to the outside (for example, to the user), and may include one or more of a display (for example, displaying a parameter list of the white blood cell count classification device, the result of the white blood cell count classification, and a histogram of white blood cell classification, etc. to the user), a speaker, etc.

[0153] The communication interface 155 is used for communication between the electronic device 150 and other devices, including wired or wireless communication. The electronic device 150 may access a wireless network based on communication standards, such as WiFi, 2G, 3G, 4G, 5G, or a combination thereof. In an exemplary embodiment, the communication interface 155 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0154] Exemplarily, an example electronic device for implementing the method of white blood cell count classification according to the embodiments of the present invention may be implemented as a terminal such as a desktop computer, a tablet computer, etc., or a device for white blood cell count classification including these terminals and a blood analyzer, etc.

[0155] Next, in conjunction with Figure 16 Describe the device for white blood cell differential count provided by another aspect of the present invention. Figure 16A schematic block diagram of an apparatus for white blood cell differential count in an embodiment of the present invention is shown.

[0156] As Figure 16 shown, the apparatus 160 for white blood cell count and classification further includes a reaction device 162 and a sampling device 161. The reaction device 162 is used to prepare a blood sample from the blood sample to be measured. For example, the reaction device includes a reaction cell. The sampling device 161 is used to inject the blood sample to be measured into the reaction device such as a reaction cell. For example, it is used to inject the whole blood of the extracted animal sample into the reaction cell. In this embodiment, the sampling device 161 is a sampling needle. In other embodiments, the sampling device can also be implemented in other ways.

[0157] In one example, as Figure 16 shown, the apparatus 160 for white blood cell count and classification further includes a reagent storage device 163. The reagent storage device 163 is connected to the reaction device 162 and is used to provide reagents for preparing the blood sample to the reaction device 162, such as hemolytic agents, diluents, etc. Among them, the number of reagent storage devices is reasonably set according to the types of reagents. For example, the reagent storage device includes a storage device for storing hemolytic agents and a storage device for storing diluents. After injecting the reagents into the reaction device, the blood sample, hemolytic agent, diluent, etc. are mixed in the reaction device to prepare a blood sample for detecting white blood cells.

[0158] The apparatus 160 for white blood cell count and classification further includes a conveying device (not shown). The conveying device is used to convey the sample liquid in the reaction cell to the detection device. In this embodiment, the conveying device includes a syringe and a conveying pipeline communicated with the syringe. The syringe, the sample liquid outlet of the reaction cell and the inlet of the detection device are communicated through the conveying pipeline. There can be multiple syringes, and each syringe performs suction and discharge actions under the control of the control device.

[0159] In one example, as Figure 16 shown, the apparatus 160 further includes a detection device 164. The detection device 164 is used to detect white blood cells in the blood sample and output a pulse signal when the white blood cells pass through the detection aperture in the detection device. Among them, the number of the pulse signals is proportional to the number of cells, and the height of the pulse signal is proportional to the cell volume. Thus, the number and volume values of blood cell particles in the blood are obtained. Among them, the blood sample prepared by the reaction cell is used for detection by the detection device.

[0160] In one example, the structure of the detection device 164 may include a counting chamber (not shown) and a pulse sensor (not shown). Optionally, the pulse sensor may include a small hole tube, on which a detection small hole is provided. Optionally, the diameter of the detection small hole is less than 100 micrometers, and the thickness ranges from 60 micrometers to 90 micrometers, for example, about 75 micrometers. The counting chamber is filled with a conductive solvent and is divided into a front chamber and a rear chamber by the detection small hole; a positive electrode and a negative electrode are respectively provided in the front chamber and the rear chamber. The positive and negative electrodes are connected to one end of a constant current source. The electrode provided in the front chamber, the conductive solvent, the electrode provided in the rear chamber, and the constant current source together form a series closed loop. When the power is turned on, a stable current is generated between the electrodes on both sides of the small hole tube. The diluted cell suspension flows from the outside of the small hole tube through the detection small hole into the inside of the small hole tube, increasing the resistance in the small hole induction area and causing an instantaneous voltage change to form a pulse signal. The amplitude of the pulse signal is proportional to the cell volume size, and the number of pulses is proportional to the number of cells. Thus, the number and volume values of blood cells in the blood sample are obtained, and different types of cells can be distinguished according to the volume distribution.

[0161] In one example, the device 160 further includes a counting device 165 for acquiring the pulse signal and obtaining an initial white blood cell histogram based on the pulse signal. The counting device receives the pulse signal output by the detection device and analyzes the pulse signal, so as to obtain an initial white blood cell histogram based on the pulse signal. The counting device can also be used to perform statistical counting on the initial white blood cell histogram to obtain the result of white blood cell counting, such as obtaining the total number of cell particles in the entire initial white blood cell histogram, etc. The counting device can be implemented based on the aforementioned electronic device. The counting device can be integrated in the device 160 or can be independent of the device 160.

[0162] Furthermore, the device 160 for white blood cell differential counting includes one or more processors, working jointly or separately. Optionally, the counting device includes this processor.

[0163] In one embodiment, the device includes one or more processors and one or more storage devices (not shown). The one or more processors work jointly or separately. The storage device stores a program for implementing the corresponding steps in the method for white blood cell differential counting according to the embodiments of the present invention. The processor is used to run the program stored in the storage device to execute the corresponding steps of the method for white blood cell differential counting according to the embodiments of the present invention.

[0164] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: obtaining an initial white blood cell histogram of white blood cells in a blood sample, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; demarcating a blood shadow area in the initial white blood cell histogram; and correcting the blood shadow area to obtain a corrected lymphocyte area.

[0165] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: obtaining a first demarcation line of the blood shadow area and the lymphocyte area in the initial white blood cell histogram, where the blood shadow area is an area with a volume smaller than the volume corresponding to the first demarcation line, so as to demarcate the blood shadow area in the initial white blood cell histogram.

[0166] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: demarcating an area with a volume smaller than a critical volume in the initial white blood cell histogram as the blood shadow area, and the first demarcation line is located at the critical volume.

[0167] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: obtaining the first peak point of the initial white blood cell histogram along the direction of increasing volume starting from the minimum volume; determining the first demarcation line based on the first peak point. More specifically, perform the following steps: setting the first demarcation line at a position with a predetermined volume interval from the volume of the first peak point, and the volume corresponding to the first demarcation line is greater than the volume of the first peak point.

[0168] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: starting from the first peak point, searching for a critical point where the slope of the initial white blood cell histogram curve is greater than the threshold slope for the first time along the direction of increasing volume, then the first demarcation line is a straight line passing through the critical point and perpendicular to the horizontal axis of the coordinate system. Optionally, the threshold slope is less than or equal to zero.

[0169] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell classification and counting device 160 to perform the following steps: obtaining the first trough point of the initial white blood cell histogram along the direction of increasing volume starting from the minimum volume; determining the first demarcation line based on the first trough point, where the first demarcation line is set at a position with a predetermined volume interval from the volume of the first trough point, and the volume corresponding to the first demarcation line is less than the volume of the first trough point.

[0170] In an embodiment of the present invention, when the program is run by a processor, the leukocyte differential counting device 160 performs the following steps: starting from the maximum volume, searching for the first peak point on the initial leukocyte histogram in the direction of decreasing volume; setting the first demarcation line at a position spaced a predetermined volume from the first peak point, and the volume corresponding to the first demarcation line is less than the volume of the first peak point.

[0171] In an embodiment of the present invention, when the program is run by a processor, the leukocyte differential counting device 160 performs the following steps: demarcating a ghost cell area in the initial leukocyte histogram according to the results of at least two leukocyte counts.

[0172] The two leukocyte counts include the first leukocyte count and the second leukocyte count. The histogram of the first leukocyte count is the initial leukocyte histogram. In an embodiment of the present invention, when the program is run by a processor, the leukocyte differential counting device 160 performs the following steps: obtaining the threshold area of the ghost cell area based on the area of the histogram of the first leukocyte count and the threshold proportionality coefficient of the ghost cell area in the histogram of the first leukocyte count, where the threshold proportionality coefficient is obtained based on the results of the first leukocyte count and the second leukocyte count; determining the first demarcation line between the ghost cell area and the lymphocyte area in the initial leukocyte histogram based on the threshold area to demarcate the ghost cell area in the initial leukocyte histogram, where the first demarcation line is located at the position where the area in the histogram of the first leukocyte count is greater than or equal to the threshold area.

[0173] Optionally, the amount of lysing agent used in the first leukocyte count is less than the amount of lysing agent used in the second leukocyte count.

[0174] Exemplarily, the threshold area SGhost of the ghost cell area satisfies the following equation:

[0175] SGhost / (SGhost + SWbc) = (WBC1 - WBC2) / WBC1

[0176] Where SGhost + SWbc is the area of the histogram of the first leukocyte count, the result of the first leukocyte count is WBC1, the result of the second leukocyte count is WBC2, and the threshold proportionality coefficient is the ratio of the difference between the result of the first leukocyte count WBC1 and the result of the second leukocyte count WBC2 to the result of the first leukocyte count WBC1.

[0177] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell differential counting device 160 to perform the following steps: removing the ghost cell region and compensating the lymphocyte region to obtain a corrected lymphocyte region.

[0178] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell differential counting device 160 to perform the following steps: demarcating a compensation line for the lymphocyte region in the blank region of the ghost cell region in the initial white blood cell histogram to compensate the lymphocyte region. In one example, the compensation line includes at least one of a straight line and a curve. Optionally, the compensation line passes through a predetermined point and a critical point located in the blank region, and the critical point is the intersection point of the first demarcation line between the lymphocyte region and the ghost cell region and the curve of the initial white blood cell histogram. Exemplarily, the predetermined point is a point on the horizontal axis of the rectangular coordinate system where the initial white blood cell histogram is located.

[0179] The compensation line is obtained based on a predetermined function equation. In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell differential counting device 160 to perform the following steps: calculating the number of lymphocyte compensation particles for each volume between the predetermined point and the critical point on the compensation line based on the function equation; compensating the lymphocyte region based on the sum of the number of lymphocyte compensation particles for each volume. Optionally, the function equation includes at least one of a linear function, a quadratic function, a polynomial function of degree three or higher, an exponential function, and a logarithmic function. Exemplarily, the quadratic function is a convex function or a concave function.

[0180] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell differential counting device 160 to perform the following steps: calculating the number of lymphocyte compensation particles for each integer volume between the predetermined point and the critical point on the compensation line based on the function equation, where the number of lymphocyte compensation particles is an integer.

[0181] In one embodiment of the present invention, when the program is run by a processor, it causes the white blood cell differential counting device 160 to perform the following steps: pre-classifying the white blood cells based on the initial white blood cell histogram to obtain different types of white blood cell regions before correcting the ghost cell region to obtain a corrected lymphocyte region, where the different types of white blood cell regions include the lymphocyte region, and the pre-classification is at least a two-classification; obtaining a corrected white blood cell histogram based on the corrected lymphocyte region after correcting the ghost cell region to obtain a corrected lymphocyte region.

[0182] In an embodiment of the present invention, when the program is run by a processor, the leukocyte classification and counting device 160 performs the following steps: obtaining a corrected leukocyte histogram based on the corrected lymphocyte region; classifying the leukocytes based on the corrected leukocyte histogram to obtain different types of leukocyte regions, where the different types of leukocyte regions include lymphocyte regions, and the classification is at least a binary classification.

[0183] In an embodiment of the present invention, when the program is run by a processor, the leukocyte classification and counting device 160 performs the following steps: obtaining the first trough point in the corrected leukocyte histogram curve along the direction of increasing volume starting from the minimum volume; defining a second boundary line between the corrected lymphocyte region and other leukocyte regions with a volume larger than that of the lymphocytes based on the first trough point. Optionally, the first trough point is the trough point between the first peak point and the second peak point obtained along the direction of increasing volume starting from the minimum volume. Optionally, the second boundary line is spaced from the first trough point by a first predetermined volume, and the volume corresponding to the second boundary line is smaller than the volume of the first trough point.

[0184] The other leukocytes include the first type of leukocytes, the second type of leukocytes, and the third type of leukocytes with increasing volumes in sequence, where the second boundary line is the boundary line between the lymphocytes and the first type of leukocytes. In an embodiment of the present invention, when the program is run by a processor, the leukocyte classification and counting device 160 performs the following steps: defining a third boundary line between the first type of leukocytes and the second type of leukocytes based on the first trough point and defining a fourth boundary line between the second type of leukocytes and the third type of leukocytes based on the first trough point or the second peak point. Optionally, the third boundary line is spaced from the trough point by a second predetermined volume, the fourth boundary line is spaced from the first trough point by a third predetermined volume, and the third predetermined volume is larger than the second predetermined volume. Optionally, the volume corresponding to the third boundary line is larger than the volume of the first trough point, and the volume corresponding to the fourth boundary line is larger than the volume of the first trough point.

[0185] In an embodiment of the present invention, when the program is run by a processor, the leukocyte classification and counting device 160 performs the following steps: performing a filtering process on the corrected leukocyte histogram.

[0186] The rectangular coordinate system where the initial white blood cell histogram and the corrected white blood cell histogram are located uses the cell volume size as the abscissa and the number of cell particles of different volumes as the ordinate. In an embodiment of the present invention, when the program is run by the processor, the white blood cell classification and counting device 160 performs the following steps: Based on the sum of the number of cell particles corresponding to each volume in different types of white blood cell regions in the corrected white blood cell histogram, calculate the total number of cell particles included in different types of white blood cell regions.

[0187] In addition, an embodiment of the present invention also provides a computer storage medium, on which a computer program is stored. One or more computer program instructions can be stored on the computer-readable storage medium, and the processor can run the program instructions stored in the storage device to implement the functions (implemented by the processor) in the embodiments of the present invention described herein and / or other desired functions, such as performing the corresponding steps of the method for white blood cell counting and classification according to the embodiments of the present invention. Various application programs and various data can also be stored in the computer-readable storage medium, such as various data used and / or generated by the application programs, etc.

[0188] For example, the computer storage medium can include, for example, a memory card of a smart phone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above storage media.

[0189] In addition, an embodiment of the present invention also provides a blood analyzer, which can include the white blood cell counting and classification device 160 according to the embodiment of the present invention described above. Those skilled in the art can understand the structure and operation of the blood cell analyzer in the embodiment of the present invention based on the foregoing description of the white blood cell counting and classification device 160. To avoid repetition, it will not be elaborated here.

[0190] The blood analyzer is used to perform various analyses on blood components, such as counting and classifying white blood cells in the blood, detecting the concentration of hemoglobin (HGB) in red blood cells, counting platelets, etc. Therefore, in addition to including the aforementioned white blood cell counting and classification device, the structure of a complete blood analyzer can also include a device for detecting hemoglobin and a device for counting platelets, etc.

[0191] In summary, for the problem of inaccurate white blood cell count and classification caused by the interference of cell debris in the lymphocyte area, especially for the problem of inaccurate white blood cell count and classification caused by the interference of cell debris in the lymphocyte area of the white blood cell histogram during the detection of animal blood samples, according to the method, device and blood analyzer for white blood cell count and classification of the embodiments of the present invention, an initial white blood cell histogram of white blood cells in the blood sample is obtained, where the initial white blood cell histogram is a histogram of the number and volume distribution of white blood cells; a blood shadow area is delimited in the initial white blood cell histogram; and the blood shadow area is corrected to obtain a corrected lymphocyte area. For example, by compensating the lymphocyte area, the interference of the blood shadow area on the lymphocyte area in the white blood cell histogram is weakened or even eliminated, and the accuracy of white blood cell count and classification is improved, so that the actual situation of the detected blood sample can be more truly reflected through the results of counting and classification, so as to facilitate doctors and others to reasonably judge the health status of the blood sample source sample based on the results and make reasonable medical diagnoses, etc.

[0192] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present invention thereto. Those of ordinary skill in the art can make various changes and modifications therein without departing from the scope and spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as claimed in the appended claims.

[0193] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0194] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0195] In the specification provided here, a large number of specific details are described. However, it can be understood that the embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and technologies are not shown in detail so as not to obscure the understanding of this specification.

[0196] Similarly, it should be understood that, for the sake of streamlining the present invention and aiding in the understanding of one or more of the various inventive aspects, in the description of the exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, the methods of the present invention should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected by the corresponding claims, the inventive point lies in that the corresponding technical problems can be solved with features less than all the features of a single disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into the detailed description, where each claim itself serves as a separate embodiment of the present invention.

[0197] Those skilled in the art will appreciate that, except where features are mutually exclusive, any combination can be used to combine all the features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all the processes or units of any method or apparatus so disclosed. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) can be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0198] In addition, those skilled in the art will be able to understand that, although some of the embodiments described herein include certain features included in other embodiments rather than other features, the combination of features of different embodiments means that it is within the scope of the present invention and forms different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0199] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that in practice, a microprocessor or a digital signal processor (DSP) can be used to implement some or all of the functions of some of the modules according to the embodiments of the present invention. The present invention can also be implemented as a device program (such as a computer program and a computer program product) for executing part or all of the methods described herein. Such a program for implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0200] It should be noted that the above embodiments illustrate the present invention rather than limit the present invention, and those skilled in the art can design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The present invention can be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In the unit claims listing several devices, several of these devices may be embodied by the same item of hardware. The use of the words first, second, and third, etc. does not denote any order. These words may be interpreted as names.

Claims

1. A method for white blood cell classification and counting, characterized in that: The method comprises: Obtaining an initial leukocyte histogram of leukocytes in a blood sample, wherein the initial leukocyte histogram is a histogram of the number and volume distribution of leukocytes; Delineating a blood ghost area in the initial leukocyte histogram; Correcting the blood ghost area to obtain a corrected lymphocyte area, including: The blood shadow area is removed and the lymphocyte area is compensated to obtain a corrected lymphocyte area, wherein the compensating the lymphocyte area comprises: drawing a compensation line for the lymphocyte area in a blank area of ​​the initial white blood cell histogram after removing the blood shadow area to compensate the lymphocyte area.

2. The method according to claim 1, characterized in that Delineating the blood ghost area in the initial leukocyte histogram includes: A first dividing line between a blood ghost area and a lymphocyte area in the initial leukocyte histogram is obtained, wherein the blood ghost area is an area whose volume is smaller than the volume corresponding to the first dividing line.

3. The method according to claim 2, characterized in that The method for delineating the blood ghost area in the initial leukocyte histogram comprises: The area in the initial leukocyte histogram whose volume is smaller than the critical volume is defined as the blood ghost area, and the first dividing line is located at the critical volume. The critical volume is the position of the first dividing line between the blood ghost area and the lymphocyte area in the initial leukocyte histogram based on prior experience.

4. The method according to claim 2, characterized in that Obtaining a first dividing line between a blood ghost area and a lymphocyte area in the initial leukocyte histogram includes: Acquire the first peak point of the initial leukocyte histogram starting from the minimum volume along the direction of increasing volume; The first dividing line is determined based on the first peak point.

5. The method according to claim 4, characterized in that The determining the first dividing line based on the first peak point includes: The first dividing line is set at a position spaced apart from the volume of the first peak point by a predetermined volume, and the volume corresponding to the first dividing line is larger than the volume of the first peak point.

6. The method according to claim 4, characterized in that The determining the first dividing line based on the first peak point includes: Starting from the first peak point, the critical point where the slope of the initial leukocyte histogram curve is greater than the threshold slope for the first time is found in the direction of increasing volume, and the first dividing line is a straight line passing through the critical point and perpendicular to the horizontal axis of the coordinate system.

7. The method according to claim 6, characterized in that The threshold slope is less than or equal to zero.

8. The method according to claim 2, characterized in that Obtaining a first dividing line between a blood ghost area and a lymphocyte area in the initial leukocyte histogram includes: Acquire the first trough point of the initial leukocyte histogram starting from the minimum volume and in the direction of increasing volume; The first dividing line is determined based on the first trough point, wherein the first dividing line is set at a position spaced apart from the volume of the first trough point by a predetermined volume, and a volume corresponding to the first dividing line is smaller than a volume of the first trough point.

9. The method according to claim 2, characterized in that The method for delineating the blood ghost area in the initial leukocyte histogram comprises: Starting from the maximum volume, searching for the first peak point on the initial leukocyte histogram in the direction of decreasing volume; The first dividing line is set at a position separated from the first peak point by a predetermined volume, and a volume corresponding to the first dividing line is smaller than a volume of the first peak point, and the predetermined volume is determined based on prior experience.

10. The method according to claim 1, characterized in that The method for delineating the blood ghost area in the initial leukocyte histogram comprises: Based on the results of at least two white blood cell counts, a blood ghost area is delineated in the initial white blood cell histogram.

11. The method according to claim 10, characterized in that The two white blood cell counts include a first white blood cell count and a second white blood cell count, the histogram of the first white blood cell count is the initial white blood cell histogram, and based on the results of at least two white blood cell counts, the blood ghost area is delineated in the initial white blood cell histogram, including: Obtaining a threshold area of ​​the blood ghost region based on the area of ​​the histogram of the first white blood cell count and a threshold ratio coefficient of the blood ghost region in the histogram of the first white blood cell count, wherein the threshold ratio coefficient is obtained based on the result of the first white blood cell count and the result of the second white blood cell count; A first dividing line between a blood ghost area and a lymphocyte area in the initial white blood cell histogram is determined based on the threshold area to delineate the blood ghost area in the initial white blood cell histogram, wherein the first dividing line is located at a position in the histogram of the first white blood cell count where the area is greater than or equal to the threshold area.

12. The method according to claim 11, characterized in that The amount of the hemolytic agent used in the first leukocyte counting is smaller than the amount of the hemolytic agent used in the second leukocyte counting.

13. The method according to claim 11, characterized in that The threshold area SGhost of the blood shadow area satisfies the following equation: S Ghost / (S Ghost +S Wbc )=(WBC1-WBC2) / WBC1 Among them, S Ghost +S Wbc is the area of ​​the histogram of the first white blood cell count, the result WBC1 of the first white blood cell count, and the result WBC2 of the second white blood cell count. The threshold proportional coefficient is the ratio of the difference between the result WBC1 of the first white blood cell count and the result WBC2 of the second white blood cell count to the result WBC1 of the first white blood cell count.

14. The method according to claim 1, wherein: The compensation line passes through a predetermined point and a critical point located in the blank area, and the critical point is an intersection of a first dividing line between the lymphocyte area and the blood ghost area and a curve of the initial leukocyte histogram.

15. The method according to claim 14, characterized in that The predetermined point is a point on the horizontal axis of the rectangular coordinate system where the initial leukocyte histogram is located.

16. The method according to claim 1, wherein: The compensation line includes at least one of a straight line and a curved line.

17. The method according to claim 14, characterized in that The compensation line is obtained based on a predetermined functional equation, and the method further comprises: Calculating the number of lymphocyte compensation particles in each volume between the predetermined point and the critical point on the compensation line based on the functional equation; The lymphocyte area is compensated based on the sum of the numbers of lymphocyte compensation particles in each volume.

18. The method according to claim 17, characterized in that The functional equation includes at least one of a linear function, a quadratic function, a cubic or higher polynomial function, an exponential function, and a logarithmic function.

19. The method according to claim 18, characterized in that The quadratic function is a convex function or a concave function.

20. The method of claim 17, wherein: Calculating the number of lymphocyte compensation particles in each volume between the predetermined point and the critical point on the compensation line based on the functional equation specifically includes: The number of lymphocyte compensation particles in each volume which is an integer between the predetermined point and the critical point on the compensation line is calculated based on the functional equation, wherein the number of lymphocyte compensation particles is an integer.

21. The method of claim 1, wherein: The method further comprises: Before correcting the blood ghost area to obtain a corrected lymphocyte area, pre-classifying the leukocytes based on the initial leukocyte histogram to obtain different types of leukocyte areas, wherein the different types of leukocyte areas include lymphocyte areas, and the pre-classification is at least binary; After correcting the blood ghost area to obtain a corrected lymphocyte area, a corrected leukocyte histogram is obtained based on the corrected lymphocyte area.

22. The method of claim 1, wherein: The method further comprises: Based on the corrected lymphocyte area, obtaining a corrected leukocyte histogram; Based on the corrected leukocyte histogram, the leukocytes are classified to obtain different types of leukocyte regions, wherein the different types of leukocyte regions include lymphocyte regions, and the classification is at least binary.

23. The method of claim 22, wherein: The classifying of the leukocytes based on the corrected leukocyte histogram comprises: Starting from the minimum volume, obtaining the first trough point in the corrected leukocyte histogram curve along the direction of increasing volume; A second boundary line between the corrected lymphocyte region and other leukocyte regions that are larger in volume than the lymphocytes is defined based on the first trough point.

24. The method of claim 23, wherein: The first trough point is a trough point between a first peak point and a second peak point obtained along a direction of increasing volume starting from the minimum volume.

25. The method of claim 23, wherein: The second dividing line is spaced from the first trough point by a first predetermined volume, and a volume corresponding to the second dividing line is smaller than a volume of the first trough point.

26. The method of claim 24, wherein: The other white blood cells include first-category white blood cells, second-category white blood cells, and third-category white blood cells whose volumes increase in sequence, wherein the second dividing line is a dividing line between the lymphocytes and the first-category white blood cells, and the classifying of the white blood cells based on the corrected white blood cell histogram further includes: A third dividing line between the first category of leukocytes and the second category of leukocytes is defined based on the first trough point, and a fourth dividing line between the second category of leukocytes and the third category of leukocytes is defined based on the first trough point or the second peak point.

27. The method of claim 26, wherein: The third dividing line is spaced from the first trough point by a second predetermined volume, the fourth dividing line is spaced from the first trough point by a third predetermined volume, and the third predetermined volume is greater than the second predetermined volume.

28. The method of claim 26, wherein: The volume corresponding to the third dividing line is larger than the volume of the first trough point, and the volume corresponding to the fourth dividing line is larger than the volume of the first trough point.

29. The method of claim 22, wherein: Before the step of classifying the leukocytes based on the corrected leukocyte histogram, the method further includes: The corrected leukocyte histogram is subjected to filtering processing.

30. The method according to claim 21 or 22, characterized in that The rectangular coordinate system where the initial leukocyte histogram and the modified leukocyte histogram are located has the cell volume as the abscissa and the number of cell particles of different volumes as the ordinate, wherein the method further comprises: Based on the sum of the numbers of cell particles corresponding to each volume in the different types of leukocyte regions in the corrected leukocyte histogram, the total number of cell particles included in the different types of leukocyte regions is calculated.

31. The method of claim 1, wherein: The initial leukocyte histogram is obtained by detecting a blood sample based on electrical impedance method.

32. The method of claim 1, wherein: The leukocytes include animal leukocytes.

33. A device for white blood cell classification and counting, characterized in that: The apparatus comprises one or more processors, working together or individually, and the processor is configured to execute the method according to any one of claims 1 to 32.

34. The device according to claim 33, characterized in that The device also includes: A detection device, the detection device is used to detect white blood cells in a blood sample and output a pulse signal when the white blood cells pass through a detection hole in the detection device, wherein the number of the pulse signals is proportional to the number of cells and the height of the pulse signal is proportional to the volume of the cells; The counting device is used to obtain the pulse signal and obtain an initial leukocyte histogram based on the pulse signal.

35. A blood analyzer, characterized in that: The blood analyzer comprises the device as claimed in claim 33 or 34.

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