CN116420074B - Blood analysis device and blood analysis method for animals - Google Patents
Blood analysis device and blood analysis method for animals Download PDFInfo
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Abstract
A blood analysis device and a blood analysis method for animals, comprising: acquiring a current animal measurement mode; wherein the blood analysis method has a plurality of animal measurement modes, the animal measurement modes having mode characteristic parameters; preparing a sample from a blood sample and a reagent; measuring the sample to obtain a measurement signal; obtaining a value of a mode characteristic parameter of the blood sample in a current animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is wrong or not according to the value of the mode characteristic parameter of the blood sample in the current animal measurement mode; when the current animal measurement mode selection error is judged, a predetermined operation when the animal measurement mode selection error is performed. The invention can realize the judgment of the animal measurement mode in which the blood sample is set with errors.
Description
Technical Field
The present invention relates to an animal blood analysis device and a blood analysis method.
Background
Blood routine examination is one of the most basic clinical laboratory test items, and judges the condition and disease of blood by observing the change in the number and morphological distribution of blood cells. The blood routine examination items mainly include erythrocytes, leukocytes, hemoglobin, platelets, and the like.
The blood analysis device for animals based on detecting blood samples of animals can generally measure blood of various animals, when a user uses an instrument to detect the samples, the user needs to select a corresponding animal type first, the instrument can measure the current samples according to the animal type selected by the user, and when the user selects or sets an incorrect animal type, the measurement result can be influenced, so that the clinical diagnosis result is influenced.
Disclosure of Invention
In view of the above, the present invention provides an animal blood analysis device and a blood analysis method, which are specifically described below.
According to a first aspect, there is provided in one embodiment an animal blood analysis device comprising:
A blood sample supply unit for supplying a blood sample;
A reagent supply unit for supplying a reagent;
a reaction section for receiving a blood sample supplied from the blood sample supply section and a reagent supplied from the reagent supply section to prepare a sample;
A measurement unit for measuring the sample to obtain a measurement signal;
An animal measurement mode selection section for selecting one from a plurality of animal measurement modes as a current animal measurement mode;
the processor is used for analyzing the measurement signals to obtain an analysis result of blood;
Wherein:
the animal measurement mode has mode characteristic parameters; the processor is further used for obtaining the value of the mode characteristic parameter of the blood sample in the currently selected animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is selected to be wrong or not according to the value of the mode characteristic parameter; and when the processor judges that the current animal measurement mode is selected incorrectly, executing a preset operation when the animal measurement mode is selected incorrectly.
In one embodiment, the measurement signal comprises at least two optical signals; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals;
the processor obtains the particle distribution condition of the blood sample in the preset area of the particle scatter diagram according to the measurement signal;
The processor judges whether the particle distribution condition of the blood sample in the particle scatter diagram in the preset area accords with the preset particle distribution condition of the currently selected animal measurement mode in the preset area of the particle scatter diagram;
if not, the processor judges that the current animal measurement mode is selected incorrectly.
In one embodiment, the particle distribution condition of the preset area of the particle scattergram includes the number of particle clusters.
The processor obtains the particle cluster number of the blood sample in a preset area of the particle scatter diagram according to the measurement signal;
The processor judges whether the number of the particle clusters of the blood sample in the preset area of the particle scatter diagram is equal to the preset number of the particle clusters of the currently selected animal measurement mode in the preset area of the particle scatter diagram;
If not, the processor judges that the current animal measurement mode is wrong.
In one embodiment, the at least two optical signals include side scattered light and fluorescence.
In one embodiment, the pattern characteristic parameter comprises an average red blood cell volume result;
the processor obtains an average red blood cell volume result of the blood sample according to the measurement signal;
The processor judges whether the average red blood cell volume result of the blood sample is within the preset average red blood cell volume result range of the currently selected animal measurement mode;
If not, the processor judges that the current animal measurement mode is selected incorrectly.
In one embodiment, the predetermined operation of the processor in performing an animal measurement mode selection error includes at least one of:
the processor generating a prompt for an animal mode selection error;
the processor also judges an animal measurement mode matched with the current blood sample according to the characteristic parameters and generates a corresponding prompt;
And the processor also judges an animal measurement mode matched with the current blood sample according to the characteristic parameters, and rechecks the current blood sample according to the animal measurement mode.
In one embodiment, the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode.
According to a second aspect, an embodiment provides a blood analysis method comprising:
acquiring a current animal measurement mode; wherein the blood analysis method has a plurality of animal measurement modes, the animal measurement modes having mode characteristic parameters;
Preparing a sample from a blood sample and a reagent;
Measuring the sample to obtain a measurement signal;
Obtaining a value of a mode characteristic parameter of the blood sample in a current animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is wrong or not according to the value of the mode characteristic parameter of the blood sample in the current animal measurement mode;
When the current animal measurement mode selection error is judged, a predetermined operation when the animal measurement mode selection error is performed.
In one embodiment, the measurement signal comprises at least two optical signals; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals;
the determining whether the current animal measurement mode is selected to be wrong comprises the following steps:
according to the measurement signal, obtaining the particle distribution condition of the blood sample in the preset area of the particle scattergram;
Judging whether the particle distribution condition of the blood sample in the particle scatter diagram in the preset area accords with the preset particle distribution condition of the currently selected animal measurement mode in the preset area of the particle scatter diagram;
if not, judging that the current animal measurement mode is wrong in selection.
In one embodiment, the pattern characteristic parameter comprises an average red blood cell volume result;
the determining whether the current animal measurement mode is selected to be wrong comprises the following steps:
Obtaining an average red blood cell volume result of the blood sample based on the measurement signal;
Judging whether the average red blood cell volume result of the blood sample is within the preset average red blood cell volume result range of the currently selected animal measurement mode;
if not, judging that the current animal measurement mode is wrong in selection.
In one embodiment, the predetermined operation includes at least one of:
Generating a prompt for an animal mode selection error;
judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and generating a corresponding prompt;
And judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and rechecking the current blood sample according to the animal measurement mode.
In one embodiment, the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode.
According to the blood analysis device and the blood analysis method for animals of the above embodiments, the value of the mode characteristic parameter of the blood sample in the current animal measurement mode is obtained according to the measurement signal, and whether the current animal measurement mode is selected to be wrong or not is judged according to the value of the mode characteristic parameter of the blood sample in the current animal measurement mode, so that it is possible to judge that the blood sample is set to be wrong animal measurement mode.
Drawings
FIGS. 1 (a) and 1 (b) are results lists of the results of the test performed by selecting the dog measurement mode and the cat measurement mode, respectively, on the animal blood analysis device for 8 dogs according to one embodiment;
FIGS. 2 (a) and 2 (b) are results lists of the results of the detection of 8 cats in the animal blood analysis device by selecting the cat measurement mode and the dog measurement mode, respectively;
FIG. 3 is a schematic view showing a structure of an animal blood analysis device according to an embodiment;
FIG. 4 is a schematic structural view of an animal blood analysis device according to an embodiment;
FIG. 5 is a schematic diagram of an optical detection portion according to an embodiment;
FIG. 6 is a schematic diagram of an optical detection portion according to an embodiment;
FIG. 7 is a schematic diagram of an optical detection portion according to an embodiment;
FIG. 8 is a schematic diagram of an interface setup of an animal measurement mode of an embodiment;
FIG. 9 is an example of a scatter plot of DIFF channel classification results of a dog blood sample of an embodiment after detection in a dog measurement mode of an animal blood analysis device;
FIG. 10 is an example of a scatter plot of DIFF channel classification results of a cat blood sample of an embodiment after detection in a cat measurement mode of an animal blood analysis device;
FIG. 11 is an example of a scatter plot of DIFF channel classification results of a dog blood sample after detection in a cat measurement mode of an animal blood analysis device according to one embodiment;
FIG. 12 is an example of a scatter plot of DIFF channel classification results of a cat blood sample of an embodiment after detection in a dog measurement mode of an animal blood analysis device;
FIG. 13 is a flow chart of a method of blood analysis according to one embodiment.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
In one embodiment, when the user selects or sets a corresponding animal measurement mode for the current sample by the animal blood analysis device, the animal blood analysis device invokes a processing algorithm of the corresponding animal measurement mode to determine and analyze the current sample, thereby obtaining a corresponding analysis result.
The inventors randomly selected 8 cases of blood samples for dogs and detected in the animal blood analysis device by selecting the dog measurement mode and the cat measurement mode, respectively, and as a result, fig. 1 (a) and 1 (b), and also randomly selected 8 cases of blood samples for cats and detected in the animal blood analysis device by selecting the cat measurement mode and the dog measurement mode, respectively, and as a result, fig. 2 (a) and 2 (b). The inventors have found that for an animal blood analysis device, selecting or setting the correct sample type (i.e. animal measurement mode) before measurement has a significant impact on the measurement results and the final clinical diagnostic results. Therefore, the inventor considers to propose a scheme to detect whether the user sets or selects the sample type correctly, and give an error prompt to avoid the occurrence of clinical accidents. WBC in the graph means white blood cells, RBC means red blood cells, HCT means packed cell volume, MCV means average red blood cell volume, MCHC means average red blood cell hemoglobin concentration, ret% means percentage of reticulocytes, plt_i means count of platelets by electrical impedance method channel, plt_o means count of platelets by optical method channel; in the alarm results column are alarm cues, for example Eosinophilia for eosinophilia, anemia for anemia, PLT Clump for platelet aggregation, macrocytosis for large cell erythrocytes, atypical Lympho for atypical lymphocytes, LIPID PARTICLES for lipid particles, lymphocytosis for lymphocytosis, leukocytosis for leukocytosis, microcytosis for small cell erythrocytes, immatureGran for immature granulocytes, band Cell Suspected for suspected rod-shaped nucleated cells, low MCHC ALERT for Low mean erythrocyte hemoglobin concentration alarm.
In some embodiments, an animal blood analysis device is disclosed. Referring to fig. 3, the blood analysis device for animals of some embodiments includes a blood sample supply part 10, a reagent supply part 20, a reaction part 30, a measurement part 40, a processor 50, and an animal measurement mode selection part 60.
In some embodiments, the blood sample supply 10 is for supplying a blood sample; the reagent supplying section 20 is used for supplying a reagent such as a hemolyzing agent, a fluorescent agent, and/or a diluent; the reaction part 30 is used for providing a reaction place for a sample and a reagent to prepare a sample formed by reacting the sample and the reagent; the measurement unit 40 is configured to detect the prepared sample or detect the sample to obtain detection data or measurement signals; the processor 50 is used for analyzing the measurement signals to obtain analysis results of blood, and the processor 50 in some embodiments of the invention includes, but is not limited to, a central processing unit (Central Processing Unit, CPU), a micro control unit (Micro Controller Unit, MCU), a Field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), and a Digital Signal Processor (DSP) for interpreting computer instructions and processing data in computer software. In some embodiments, the processor 50 is configured to execute each computer application in the non-transitory computer readable storage medium to cause the animal blood analysis device to perform a corresponding testing procedure.
The following describes each component in detail.
In some embodiments, the blood sample supply 10 may include a sample needle that is moved in two or three dimensions spatially by a two or three dimensional drive mechanism so that the sample needle may be moved to aspirate a sample in a sample-carrying container (e.g., a sample tube) and then moved to a reaction site, such as a reaction portion 30, for providing a reaction site for the sample and reagents to be tested, and the sample is added to the reaction portion 30.
In some embodiments, the reagent supply section 20 may include a region carrying the reagent container and a reagent liquid path communicating the reagent container with the reaction section 30, through which reagent is added from the reagent container to the reaction section 30. In some embodiments, the reagent supplying section 20 may also include a reagent needle that is moved in two or three dimensions spatially by a two or three-dimensional driving mechanism so that the reagent needle can be moved to aspirate the reagent in the reagent container and then moved to a reaction site for supplying the sample to be measured and the reagent, for example, the reaction section 30, and the reagent is added to the reaction section 30.
The reaction part 30 is for receiving a blood sample supplied from the blood sample supply part 10 and a reagent supplied from the reagent supply part 20 to prepare a sample. In some embodiments, the reaction portion 30 may include one or more reaction cells. The reaction section 30 is used to provide a processing site or reaction site for a sample and a reagent. Different detection items can share the same reaction tank; different reaction cells may also be used for different detection items.
By treating a sample with a reagent, a sample to be measured can be obtained. In some embodiments, the reagent comprises one or more of a hemolyzing agent, a fluorescent agent, and a diluent. The hemolysis agent is an agent capable of lysing erythrocytes in a blood sample and a body fluid sample, and specifically, may be any one or a combination of several of a cationic surfactant, a nonionic surfactant, an anionic surfactant, and an amphiphilic surfactant. The fluorescent agent is used for staining blood cells, and the specific type is selected according to the detection item.
In some embodiments, referring to fig. 4, the measuring section 40 includes at least an optical detecting section 60, which is described in detail below.
In some embodiments, the optical detection portion 60 is capable of measuring a sample by a laser light scattering principle: the laser light is irradiated onto the cells, and the cells are sorted and counted by collecting light signals, such as scattered light and/or fluorescence, generated after the cells are irradiated—of course in some embodiments, if the cells are not treated with a fluorescent reagent, no fluorescence is naturally collected. The optical detection unit 60 in the measurement unit 40 will be described below.
Referring to fig. 5, the optical detection portion 60 may include a light source 61, a flow chamber 62, and an optical detector 69. The flow chamber 62 communicates with the reaction section 30 for allowing the cells of the sample to be measured to pass therethrough one by one; the light source 61 is used to illuminate the cells passing through the flow cell 62 and the optical detector 69 is used to acquire the optical signal of the cells passing through the flow cell 62. Fig. 6 is a specific example of the optical detection section 60, and the optical detector 69 may include a lens group 63 for collecting forward scattered light, a photodetector 64 for converting the collected forward scattered light from an optical signal into an electric signal, a lens group 65 for collecting side scattered light and side fluorescence, a dichroic mirror 66, a photodetector 67 for converting the collected side scattered light from an optical signal into an electric signal, and a photodetector 68 for converting the collected side fluorescence from an optical signal into an electric signal; the dichroic mirror 66 is used for splitting light, and divides the side scattered light and the side fluorescent light mixed together into two paths, one path is the side scattered light and the other path is the side fluorescent light. It should be noted that, the optical signal may refer to an optical signal or an electrical signal converted from the optical signal, and the information contained in the cell detection result is substantially consistent.
Taking the configuration of the optical detection unit 60 shown in fig. 6 as an example, it is described how the optical detection unit 60 specifically obtains an optical signal of a sample to be measured.
The flow chamber 62 is used for the passage of cells of the test sample one by one. For example, after dissolving red blood cells in a sample in the reaction section 30 by some reagent such as a hemolysis agent, or further staining by a fluorescent agent, the prepared cells in the sample to be measured are queued to pass one at a time from the flow cell 62 by using a sheath flow technique. The Y-axis direction in the drawing is the direction of movement of cells in the sample to be measured, and the Y-axis direction in the drawing is the direction perpendicular to the paper surface. The light source 61 is used to illuminate cells passing through the flow chamber 62. In some embodiments, the light source 61 is a laser, such as a helium-neon laser or a semiconductor laser, or the like. When light from the light source 61 irradiates cells in the flow cell 62, scattering occurs to the surroundings. Therefore, when the cells in the prepared sample to be measured pass through the flow cell 62 one by one under the action of the sheath flow, the light emitted from the light source 61 irradiates the cells passing through the flow cell 62, the light irradiated to the cells is scattered to the periphery, and the forward scattered light, for example, the direction of the Z axis in the figure, is collected by the lens group 63 to reach the photodetector 64, so that the information processing part 70 can acquire the forward scattered light information of the cells from the photodetector 64; meanwhile, the collected lateral light, such as the X-axis direction in the figure, is collected through the lens group 65 in the direction perpendicular to the light irradiated to the cells, and then reflected and refracted through the dichroic mirror 66, wherein the lateral scattered light in the lateral light is reflected when passing through the dichroic mirror 66 and then reaches the corresponding photodetector 67, and the lateral fluorescence in the lateral light also reaches the corresponding photodetector 68 after being refracted or transmitted, so that the processor 50 can acquire the lateral scattered light information of the cells from the photodetector 67 and the lateral fluorescence information of the cells from the photodetector 68. Referring to fig. 7, another example of the optical detection unit 60 is shown. In order to make the light performance of the light source 61 irradiated to the flow cell 62 better, a collimator lens 61a may be introduced between the light source 61 and the flow cell 62, and the light emitted from the light source 61 is collimated by the collimator lens 61a and then irradiated to the cells passing through the flow cell 62. In some examples, to make the collected fluorescence noise less (i.e., no interference from other light), a filter 66a may be disposed in front of the photodetector 68, and the lateral fluorescence split by the dichroic mirror 66 may reach the photodetector 68 after passing through the filter 66 a. In some embodiments, after the lens group 63 collects the forward scattered light, a stop 63a is introduced to limit the angle of the forward scattered light that eventually reaches the photodetector 64, for example, to limit the forward scattered light to low (or small) angles.
The above-described optical detection unit 60 is an example in which white blood cells can be classified and counted by a laser light scattering method. The scattered light produced by a cell when irradiated with a laser beam is related to the cell size, the refractive index of the cell membrane and the internal structure of the cell. The distribution map of the blood cell size and the information inside the cells can be obtained from the scattered light signal, and is called a particle scattergram, a classification scattergram, or simply a scattergram.
It will be appreciated that the assay portion 40 herein refers to the assay signal from which the assay is performed, and in some embodiments, to the optical signal above.
In some embodiments, the animal measurement mode selection unit 60 is configured to select one of a plurality of animal measurement modes as a current animal measurement mode. A variety of animal measurement modes such as pig, horse, cow, dog, cat, etc. can be preset in the blood analysis device for animals. In some embodiments, the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode. The user may set or select a corresponding animal measurement mode for the blood sample by inputting a tool such as a keyboard or a mouse, etc. For example, fig. 8 is an example in which a user can select a corresponding animal measurement mode from blood samples, which are numbered 001-a,002-B,003-C, respectively, in a cat measurement mode, and a dog measurement mode, from a drop-down box by means of a mouse or the like.
In some embodiments, the different animal measurement modes have respective analysis algorithms, i.e. after obtaining the measurement signal of the blood sample, the processor 50 can select a corresponding analysis algorithm to analyze the measurement signal according to the animal measurement mode in which the blood sample is set, so as to obtain an analysis result.
In some embodiments, the different animal measurement modes have respective analysis result range values, and the processor 50 may calibrate the analysis result thereof, such as negative or positive, whether within a normal range value, or the like, according to the analysis result range value corresponding to the animal measurement mode in which the blood sample is set.
In some embodiments, the animal measurement mode has a mode characteristic parameter, e.g., the mode characteristic parameter comprises a particle distribution profile of a predetermined region of a particle scattergram generated from the measurement signal, and further e.g., the mode characteristic parameter comprises a final result, e.g., an average red blood cell volume result. In practice, the developer may extract, select and set the model feature parameters by experiments based on the characteristics of intermediate or final results of analysis of the blood samples of the respective animals from the measurement signals.
Some embodiments of the present invention provide a solution that prompts the user whether the type of test sample (blood sample) or the animal measurement mode is wrong. Some embodiments of the invention find relevant features (i.e., the pattern feature parameters mentioned herein) based on the measured signals obtained from the detection of the blood sample as basis for judgment and prompting. The description will be given by taking a cat blood sample and a dog blood sample as examples, but it will be understood by those skilled in the art that blood samples of animals other than cats and dogs may be provided with a sample type error based on the pattern characteristic parameters selected for the blood samples.
The basis of the characteristics (pattern characteristic parameters) of the judgment and the prompt of the animal type error or the animal measurement pattern selection error of the blood sample can be expressed as the classification scatter diagram result. For example, as shown in fig. 9 and 10, when the dog blood sample and the cat blood sample are measured in the correct animal measurement mode of the animal blood analyzer, it can be seen that there is a significant difference in the characteristics between them, that is, eosinophil (EOS) particles of cat blood appear to be two clusters (or eosinophil particles are mainly located in the upper right position of monocyte particles and appear as an elongated bar shape). When a dog blood sample is set to be detected in the cat measurement mode on the animal blood analysis device, as shown in fig. 11, its DIFF classification scatter diagram may not have a significant classification error exactly, but when a cat blood sample is set to be detected in the dog measurement mode on the animal blood analysis device, as shown in fig. 12, its DIFF classification scatter diagram has a significant classification error phenomenon, which is that particles belonging to eosinophils are misclassified into other types, resulting in a low eosinophil count result. Thus, this feature can be used as an important basis for distinguishing animal types, as a model feature parameter, or at least as a basis for determining whether a cat blood sample is set to other animal measurement modes. In fig. 9 to 12, FL means fluorescence and SS means side scattered light.
The pattern characteristic parameter may also be the final parameter result. For example, based on clinical statistics, the average red blood cell volume (MCV) results for the dog blood samples are typically no less than 50fL (femto liters), while the average red blood cell volume (MCV) results for the cat blood samples are typically no more than 55fL; therefore, based on the characteristics, whether the animal type is selected incorrectly can be judged, and a prompt is given to a user.
The above examples illustrate two features that are commonly used in determining sample type (animal type) in cat blood and dog blood, without the presence of other features. The comprehensive use of a plurality of different features can lead the prompt result to be more accurate.
The above are some illustrations of animal measurement modes.
Based on the inventors' studies and inventions, some embodiments of the present invention can determine whether a blood sample is set or an erroneous animal measurement mode is selected, for example, a cat blood sample is erroneously set to a dog measurement mode, as described in detail below.
After the blood sample is set in the animal measurement mode, the blood analysis device for the animal measures the blood sample, the measuring unit can obtain a measurement signal, and the processor obtains a value of a mode characteristic parameter of the blood sample in the currently selected animal measurement mode according to the measurement signal, and judges whether the current animal measurement mode is selected incorrectly according to the value of the mode characteristic parameter.
The particle distribution in the predetermined region of the particle scattergram using the pattern feature parameter is described as an example. In some embodiments, the assay signal comprises at least two optical signals, such as side scatter light and fluorescence; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals; the processor 50 obtains a particle distribution of the blood sample in the predetermined region of the particle scattergram based on the measurement signal; the processor 50 judges whether the particle distribution of the blood sample in the predetermined region of the particle scattergram matches the predetermined particle distribution of the currently selected animal measurement mode in the predetermined region of the particle scattergram; if not, the processor 50 determines that the current animal measurement mode is selected incorrectly, such as selecting a cat blood sample as the dog measurement mode, such as selecting a dog blood sample as the cat measurement mode. In some embodiments, the particle distribution of the predetermined area of the particle scattergram includes the number of particle clusters; the processor 50 obtains the number of particle clusters in a preset area of the particle scattergram of the blood sample according to the measurement signal; the processor 50 determines whether the blood sample has a number of clusters in a predetermined region of the particle scattergram equal to the number of clusters in the predetermined region of the particle scattergram in the currently selected animal measurement mode; if not, the processor 50 determines that the current animal measurement mode selection is wrong, for example, when setting the blood sample to the cat measurement mode, the blood sample should have 2 clusters in the EOS region of fig. 10, for example, and if the measurement signal of the blood sample shows only 1 cluster in the EOS region of fig. 10, this indicates that the animal measurement mode selection of the blood sample is wrong.
The mode characteristic parameter is taken as an example of the average red blood cell volume result. In some embodiments, processor 50 obtains an average red blood cell volume result of the blood sample based on the measurement signal; the processor 50 determines whether the mean red blood cell volume result of the blood sample is within a preset mean red blood cell volume result range for the currently selected animal measurement mode; if not, the processor 50 determines that the current animal measurement mode selection is wrong.
When the processor 50 determines that the current animal measurement mode of the blood sample is wrong, a predetermined operation when the animal measurement mode is wrong may be performed, for example, a corresponding prompt message is given to the user, prompting that "the animal type of the current sample may be wrong" or "the animal measurement mode of the current sample is set wrong", etc.; the method can also be expressed as that the characteristic parameters of modes such as MCV and the like are specially marked so as to assist in playing a prompting role.
In some embodiments, the predetermined operation of the processor 50 when performing an animal measurement mode selection error includes at least one of:
(1) The processor 50 generates a reminder of the animal mode selection error;
(2) The processor 50 judges the animal measurement mode matched with the current blood sample according to the characteristic parameters and generates a corresponding prompt;
(3) The processor 50 determines an animal measurement pattern to which the current blood sample matches based on the characteristic parameters, and rechecks the current blood sample based on the animal measurement pattern.
The above are some descriptions of blood analysis devices for animals. Also disclosed in some embodiments is a blood analysis method, described in detail below.
Referring to fig. 13, the blood analysis method of some embodiments includes the following steps:
step 110: acquiring a current animal measurement mode; wherein the blood analysis method has a plurality of animal measurement modes, and the animal measurement modes have mode characteristic parameters. In some embodiments, the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode.
Step 120: samples were prepared from blood samples and reagents. It will be appreciated that the current animal measurement mode obtained in step 110 is directed to an animal measurement mode in which the blood sample to be analyzed is set.
Step 130: the sample is measured to obtain a measurement signal.
Step 140: and obtaining the value of the mode characteristic parameter of the blood sample in the current animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is wrong according to the value of the mode characteristic parameter of the blood sample in the current animal measurement mode.
The particle distribution in the predetermined region of the particle scattergram using the pattern feature parameter is described as an example. In some embodiments, the assay signal comprises at least two optical signals, such as side scatter light and fluorescence; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals; step 140, obtaining the particle distribution condition of the blood sample in the preset area of the particle scatter diagram according to the measurement signal; step 140, judging whether the particle distribution condition of the blood sample in the preset area of the particle scattergram accords with the preset particle distribution condition of the currently selected animal measurement mode in the preset area of the particle scattergram; if not, step 140 determines that the current animal measurement mode is not selected correctly, such as selecting the cat blood sample as the dog measurement mode, such as selecting the dog blood sample as the cat measurement mode. In some embodiments, the particle distribution of the predetermined area of the particle scattergram includes the number of particle clusters; step 140, obtaining the particle cluster number of the blood sample in a preset area of the particle scatter diagram according to the measurement signal; step 140, judging whether the number of the particle clusters of the blood sample in the preset area of the particle scatter diagram is equal to the preset number of the particle clusters in the preset area of the particle scatter diagram in the currently selected animal measurement mode; if not, step 140 determines that the current animal measurement mode is selected incorrectly, for example, when the blood sample is set to cat measurement mode, the blood sample should have 2 clusters in the EOS region of fig. 10, for example, and if the measurement signal of the blood sample shows only 1 cluster in the EOS region of fig. 10, this indicates that the animal measurement mode of the blood sample is selected incorrectly.
The mode characteristic parameter is taken as an example of the average red blood cell volume result. In some embodiments, step 140 obtains an average red blood cell volume result of the blood sample based on the measurement signal; step 140, judging whether the average red blood cell volume result of the blood sample is within the preset average red blood cell volume result range of the currently selected animal measurement mode; if not, step 140 determines that the current animal measurement mode was selected incorrectly.
Step 150: when the current animal measurement mode selection error is judged, a predetermined operation when the animal measurement mode selection error is performed. In some embodiments, the predetermined operation of step 150 when an animal measurement mode selection error is performed includes at least one of:
(1) Generating a prompt for an animal mode selection error;
(2) Judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and generating a corresponding prompt;
(3) And judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and rechecking the current blood sample according to the animal measurement mode.
Some embodiments of the present invention provide a method for prompting a user to test a sample type error, which has the meaning that the sample type is set incorrectly when prompting the user to test, so that the user decides that retests are required, thereby obtaining a real detection result of the sample, ensuring the accuracy of a parameter result, and finally making a correct clinical diagnosis result.
Reference is made to various exemplary embodiments herein. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope herein. For example, the various operational steps and components used to perform the operational steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or combined into other steps) depending on the particular application or taking into account any number of cost functions associated with the operation of the system.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. Additionally, as will be appreciated by one of skill in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium preloaded with computer readable program code. Any tangible, non-transitory computer readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-to-ROM, DVD, blu-Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means which implement the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
While the principles herein have been shown in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components, which are particularly adapted to specific environments and operative requirements, may be used without departing from the principles and scope of the present disclosure. The above modifications and other changes or modifications are intended to be included within the scope of this document.
The foregoing detailed description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the present disclosure is to be considered as illustrative and not restrictive in character, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "couple" and any other variants thereof are used herein to refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and/or any other connection.
Those skilled in the art will recognize that many changes may be made to the details of the above-described embodiments without departing from the underlying principles of the invention. Accordingly, the scope of the invention should be determined from the following claims.
Claims (8)
1. An animal blood analysis device, comprising:
A blood sample supply unit for supplying a blood sample;
A reagent supply unit for supplying a reagent;
a reaction section for receiving a blood sample supplied from the blood sample supply section and a reagent supplied from the reagent supply section to prepare a sample;
A measurement unit for measuring the sample to obtain a measurement signal;
An animal measurement mode selection section for selecting one from a plurality of animal measurement modes as a current animal measurement mode;
the processor is used for analyzing the measurement signals to obtain an analysis result of blood;
Wherein:
The animal measurement mode has mode characteristic parameters; the processor is further used for obtaining the value of the mode characteristic parameter of the blood sample in the currently selected animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is selected to be wrong or not according to the value of the mode characteristic parameter; executing a predetermined operation when the animal measurement mode selection is wrong when the processor judges that the current animal measurement mode selection is wrong; wherein:
the assay signal comprises at least two optical signals; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals; the processor obtains the particle distribution condition of the blood sample in the preset area of the particle scatter diagram according to the measurement signal; the processor judges whether the particle distribution condition of the blood sample in the particle scatter diagram in the preset area accords with the preset particle distribution condition of the currently selected animal measurement mode in the preset area of the particle scatter diagram; if not, the processor judges that the current animal measurement mode is selected incorrectly;
Or alternatively
The pattern characteristic parameters include average red blood cell volume results; the processor obtains an average red blood cell volume result of the blood sample according to the measurement signal; the processor judges whether the average red blood cell volume result of the blood sample is within the preset average red blood cell volume result range of the currently selected animal measurement mode; if not, the processor judges that the current animal measurement mode is selected incorrectly.
2. The blood analysis device for animals according to claim 1, wherein the particle distribution of the predetermined region of the particle scattergram includes the number of clusters;
The processor obtains the particle cluster number of the blood sample in a preset area of the particle scatter diagram according to the measurement signal;
The processor judges whether the number of the particle clusters of the blood sample in the preset area of the particle scatter diagram is equal to the preset number of the particle clusters of the currently selected animal measurement mode in the preset area of the particle scatter diagram;
If not, the processor judges that the current animal measurement mode is wrong.
3. The blood analysis device for animals according to claim 1 or 2, wherein the at least two optical signals include side scattered light and fluorescence.
4. The animal blood analysis device of claim 1, wherein the predetermined operation of the processor when performing an animal measurement mode selection error includes at least one of:
the processor generating a prompt for an animal mode selection error;
the processor also judges an animal measurement mode matched with the current blood sample according to the characteristic parameters and generates a corresponding prompt;
And the processor also judges an animal measurement mode matched with the current blood sample according to the characteristic parameters, and rechecks the current blood sample according to the animal measurement mode.
5. The animal blood analysis device of claim 1 or 4, wherein the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode.
6. A method of blood analysis, comprising:
acquiring a current animal measurement mode; wherein the blood analysis method has a plurality of animal measurement modes, the animal measurement modes having mode characteristic parameters;
Preparing a sample from a blood sample and a reagent;
Measuring the sample to obtain a measurement signal;
Obtaining a value of a mode characteristic parameter of the blood sample in a current animal measurement mode according to the measurement signal, and judging whether the current animal measurement mode is wrong or not according to the value of the mode characteristic parameter of the blood sample in the current animal measurement mode;
executing a predetermined operation when the animal measurement mode selection is wrong when the current animal measurement mode selection is wrong; wherein:
The assay signal comprises at least two optical signals; the mode characteristic parameters comprise particle distribution conditions of a preset area of a particle scatter diagram generated based on the at least two optical signals; the determining whether the current animal measurement mode is selected to be wrong comprises the following steps: according to the measurement signal, obtaining the particle distribution condition of the blood sample in the preset area of the particle scattergram; judging whether the particle distribution condition of the blood sample in the particle scatter diagram in the preset area accords with the preset particle distribution condition of the currently selected animal measurement mode in the preset area of the particle scatter diagram; if not, judging that the current animal measurement mode is wrong in selection;
Or alternatively
The pattern characteristic parameters include average red blood cell volume results; the determining whether the current animal measurement mode is selected to be wrong comprises the following steps: obtaining an average red blood cell volume result of the blood sample based on the measurement signal; judging whether the average red blood cell volume result of the blood sample is within the preset average red blood cell volume result range of the currently selected animal measurement mode; if not, judging that the current animal measurement mode is wrong in selection.
7. The blood analysis method of claim 6, wherein the predetermined operation comprises at least one of:
Generating a prompt for an animal mode selection error;
judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and generating a corresponding prompt;
And judging an animal measurement mode matched with the current blood sample according to the characteristic parameters, and rechecking the current blood sample according to the animal measurement mode.
8. The blood analysis method of claim 6 or 7, wherein the plurality of animal measurement modes includes at least a cat measurement mode and a dog measurement mode.
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| JP4669368B2 (en) * | 2005-10-03 | 2011-04-13 | シスメックス株式会社 | Biological sample analyzer |
| CN101470109B (en) * | 2007-12-25 | 2013-07-10 | 深圳迈瑞生物医疗电子股份有限公司 | Method for improving accuracy of blood sample leukocyte classifying result |
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