WO2023028835A1 - 一种样本分析装置和样本分析方法 - Google Patents

一种样本分析装置和样本分析方法 Download PDF

Info

Publication number
WO2023028835A1
WO2023028835A1 PCT/CN2021/115674 CN2021115674W WO2023028835A1 WO 2023028835 A1 WO2023028835 A1 WO 2023028835A1 CN 2021115674 W CN2021115674 W CN 2021115674W WO 2023028835 A1 WO2023028835 A1 WO 2023028835A1
Authority
WO
WIPO (PCT)
Prior art keywords
white blood
blood cell
sample
measurement mode
tested
Prior art date
Application number
PCT/CN2021/115674
Other languages
English (en)
French (fr)
Inventor
孔繁钢
张新军
颜卫卫
刘少健
Original Assignee
深圳迈瑞动物医疗科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳迈瑞动物医疗科技股份有限公司 filed Critical 深圳迈瑞动物医疗科技股份有限公司
Priority to EP21945365.1A priority Critical patent/EP4174488A4/en
Priority to PCT/CN2021/115674 priority patent/WO2023028835A1/zh
Priority to CN202180037064.7A priority patent/CN115843332B/zh
Priority to US18/091,220 priority patent/US20230143409A1/en
Publication of WO2023028835A1 publication Critical patent/WO2023028835A1/zh

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Electro-optical investigation, e.g. flow cytometers
    • G01N15/1456Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • G01N15/0205Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/1031Investigating individual particles by measuring electrical or magnetic effects thereof, e.g. conductivity or capacity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • G01N33/49Blood
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584Control arrangements for automatic analysers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/10Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
    • G01N35/1002Reagent dispensers
    • G01N2015/016
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N2015/1006Investigating individual particles for cytology
    • G01N2015/1024
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Electro-optical investigation, e.g. flow cytometers
    • G01N2015/1486Counting the particles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Electro-optical investigation, e.g. flow cytometers
    • G01N2015/1493Particle size
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584Control arrangements for automatic analysers
    • G01N35/00722Communications; Identification
    • G01N35/00732Identification of carriers, materials or components in automatic analysers
    • G01N2035/00821Identification of carriers, materials or components in automatic analysers nature of coded information
    • G01N2035/00851Identification of carriers, materials or components in automatic analysers nature of coded information process control parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584Control arrangements for automatic analysers
    • G01N35/00722Communications; Identification
    • G01N2035/00891Displaying information to the operator

Definitions

  • the invention relates to the field of in vitro diagnosis, in particular to a sample analysis device and a sample analysis method.
  • Sample analysis devices such as those for body fluids or blood They detect cell particles in blood and body fluids, such as white blood cells (WBC), red blood cells (RBC), platelets (PLT), nucleated red blood cells (NRBC) and reticulum Cell particles such as erythrocytes (Ret) are counted and classified.
  • WBC white blood cells
  • RBC red blood cells
  • PHT platelets
  • NRBC nucleated red blood cells
  • Ret reticulum Cell particles
  • Ret erythrocytes
  • White blood cells are composed of neutrophils, lymphocytes, monocytes, eosinophils, and basophils. It is very meaningful to classify and count white blood cells in clinical diagnosis.
  • a detection process is as follows: the sample (body fluid or blood sample) is treated with a hemolytic agent, and the red blood cells in it are dissolved into blood ghosts (or red blood cell fragments) to prevent interference with white blood cell classification and counting.
  • the present invention mainly provides a sample analysis device and a sample analysis method, which will be described in detail below.
  • an embodiment provides a sample analysis device, the sample analysis device is used to analyze samples of one or more animals, and for at least one of the animals, the sample analysis device has multiple A leukocyte measurement mode, the leukocyte measurement mode at least includes a reaction time, and the reaction time of different leukocyte measurement modes of the same animal is different; the sample analysis device includes:
  • the sample supply part is used for supplying samples
  • a reagent supply part used for supplying reagents
  • reaction part for providing a reaction place for the sample and the reagent, so as to prepare a sample formed by reacting the sample and the reagent
  • a measuring unit for detecting the sample to obtain detection data
  • a processor configured to calculate a detection result according to the detection data;
  • the processor obtains the current white blood cell measurement mode of the sample to be tested
  • the processor sets the reaction time of the sample to be tested according to the current white blood cell measurement mode of the sample to be tested;
  • the processor controls the sample supply part to provide the sample to be tested to the reaction part, and controls the reagent supply part to provide reagents including a hemolytic agent to the reaction part;
  • the processor controls the reaction between the sample to be tested and the reagent in the reaction part according to the set reaction time of the sample to be tested, so as to prepare a sample for measuring white blood cells;
  • the processor controls the measurement unit to measure the sample to obtain detection data of leukocyte classification.
  • the leukocyte measurement mode further includes a leukocyte classification algorithm, and the leukocyte classification algorithms of different leukocyte measurement modes of the same animal are different;
  • the processor processes the detection data of the white blood cell classification according to the white blood cell classification algorithm of the current white blood cell measurement mode of the sample to be tested, so as to obtain the detection result of the white blood cell classification.
  • the processor determines whether the blood shadow interferes with the detection result of the white blood cell classification according to the detection data of the white blood cell classification, and if it interferes, the processor controls to issue a prompt that the blood shadow interferes with the white blood cell classification result, and/or , to control sending a prompt prompting the user to switch the white blood cell measurement mode.
  • the processor when the processor judges that the blood ghost interferes with the detection result of the white blood cell classification, the processor also controls to retest the sample to be tested in a different white blood cell measurement mode than the current sample to be tested.
  • the response time of the white blood cell measurement mode when the test sample is retested is greater than the reaction time of the white blood cell measurement mode before the test sample is retested.
  • the processor can also generate a white blood cell measurement mode setting interface, and the white blood cell measurement mode setting interface is used for the user to operate to set the white blood cell measurement mode of the animal.
  • the white blood cell measurement mode setting interface includes an animal type item and a reaction time item, the animal type item is used for the user to operate to set the animal type, and the reaction time item is used for the user to operate to set the animal type Corresponding white blood cell measurement mode.
  • the processor can also generate a sample application interface, and the sample application interface is used for the user to operate to set the sample to be tested to a corresponding animal type.
  • an embodiment provides a sample analysis device, the sample analysis device has multiple white blood cell measurement modes, the white blood cell measurement modes at least include a reaction time, and the reaction times of different white blood cell measurement modes are different; the sample Analytical devices include:
  • the sample supply part is used for supplying samples
  • a reagent supply part used for supplying reagents
  • reaction part for providing a reaction place for the sample and the reagent, so as to prepare a sample formed by reacting the sample and the reagent
  • a measuring unit for detecting the sample to obtain detection data
  • a processor configured to calculate a detection result according to the detection data;
  • the processor obtains the current white blood cell measurement mode of the sample to be tested
  • the processor sets the reaction time of the sample to be tested according to the current white blood cell measurement mode of the sample to be tested;
  • the processor controls the sample supply part to provide the sample to be tested to the reaction part, and controls the reagent supply part to provide reagents including a hemolytic agent to the reaction part;
  • the processor controls the reaction between the sample to be tested and the reagent in the reaction part according to the set reaction time of the sample to be tested, so as to prepare a sample for measuring white blood cells;
  • the processor controls the measurement unit to measure the sample to obtain detection data of leukocyte classification.
  • the white blood cell measurement mode further includes a white blood cell classification algorithm, and the white blood cell classification algorithms of different white blood cell measurement modes are different;
  • the processor processes the detection data of the white blood cell classification according to the white blood cell classification algorithm of the current white blood cell measurement mode of the sample to be tested, so as to obtain the detection result of the white blood cell classification.
  • the processor determines whether the blood shadow interferes with the detection result of the white blood cell classification according to the detection data of the white blood cell classification, and if it interferes, the processor controls to issue a prompt that the blood shadow interferes with the white blood cell classification result, and/or , to control sending a prompt prompting the user to switch the white blood cell measurement mode.
  • the processor when the processor judges that the blood ghost interferes with the detection result of the white blood cell classification, the processor also controls to retest the sample to be tested in a different white blood cell measurement mode than the current sample to be tested.
  • the response time of the white blood cell measurement mode when the test sample is retested is greater than the reaction time of the white blood cell measurement mode before the test sample is retested.
  • the processor can also generate a sample white blood cell measurement mode setting interface, and the sample white blood cell measurement mode setting interface is used for the user to operate to set the sample to be tested to a corresponding white blood cell measurement mode.
  • an embodiment provides a sample analysis method, comprising:
  • the sample analysis method has multiple white blood cell measurement modes, and the white blood cell measurement mode at least includes a reaction time, and the reaction time of different white blood cell measurement modes is different;
  • control the sample to be tested to react with a reagent including a hemolytic agent, so as to prepare a sample for measuring white blood cells;
  • the white blood cell measurement mode also includes a white blood cell classification algorithm, and the white blood cell classification algorithm is different for different white blood cell measurement modes; the sample analysis method also includes:
  • the detection data of the white blood cell classification are processed to obtain the detection result of the white blood cell classification.
  • the sample analysis method further includes:
  • the detection data of the white blood cell classification it is judged whether the blood shadow interferes with the detection result of the white blood cell classification
  • control to issue a prompt that the blood shadow interferes with the white blood cell classification result and/or control to issue a prompt prompting the user to switch the white blood cell measurement mode.
  • the blood ghost when it is judged that the blood ghost interferes with the detection result of the white blood cell classification, it is also controlled to retest the sample to be tested in a different white blood cell measurement mode than the current sample to be tested.
  • the response time of the white blood cell measurement mode when the test sample is retested is greater than the reaction time of the white blood cell measurement mode before the test sample is retested.
  • the sample analysis method further includes:
  • the white blood cell measurement mode setting interface displays the reaction time before retesting the sample to be tested;
  • the white blood cell measurement mode when the sample to be tested is retested is set.
  • an embodiment provides a computer-readable storage medium, where a program is stored in the computer-readable storage medium, and the program can be executed by a processor to implement the method described in any embodiment herein.
  • Fig. 1 is a schematic structural diagram of a sample analysis device of an embodiment
  • Fig. 2 is a schematic structural diagram of a sample analysis device of an embodiment
  • Fig. 3 is a schematic structural diagram of an optical detection part of an embodiment
  • Fig. 4 is a schematic structural diagram of an optical detection part of an embodiment
  • Fig. 5 is a schematic structural diagram of an optical detection part of an embodiment
  • Fig. 6 is a schematic structural view of an embodiment of an impedance method counting part
  • Figure 7 is an example of a scatter plot of an embodiment
  • Figure 8 is an example of a scatter plot of an embodiment
  • Fig. 9 is an example of a scatter plot in three different white blood cell measurement modes of an embodiment
  • Fig. 10 is an example of issuing a blood shadow interference prompt in an embodiment
  • FIG. 11 is an example of an interface for setting a white blood cell measurement mode of a sample in an embodiment
  • FIG. 12 is an example of an interface for setting a white blood cell measurement mode in an embodiment
  • Figure 13 is an example of a sample application interface of an embodiment
  • Fig. 14 is a flowchart of a sample analysis method of an embodiment
  • Fig. 15 is a flowchart of a sample analysis method of an embodiment
  • Fig. 16 is a flowchart of a sample analysis method of an embodiment
  • Fig. 17 is a flowchart of a sample analysis method of an embodiment.
  • connection and “connection” mentioned in this application include direct and indirect connection (connection) unless otherwise specified.
  • Samples in this application refer to blood samples and body fluids. The applicant found that during the sample testing process, some samples had blood shadows that seriously interfered with the classification of white blood cells. Further studies have found that different subspecies of the same animal will exhibit this stably, and it is further found that this situation is also affected by the animal's breeding conditions and so on. It should be noted that animals in this application also include humans.
  • the present application proposes a sample analysis device, which has at least two white blood cell measurement modes, and the difference between these white blood cell measurement modes lies at least in the reaction time between the sample and the reagent.
  • the fragments or blood shadows formed by red blood cells under the action of hemolytic agent can be small enough so as not to affect the classification and counting of white blood cells; and considering the measurement speed and efficiency, a variety of white blood cell measurement modes are set, To balance efficiency and accuracy of results. Specific instructions are given below.
  • a sample analysis device in some embodiments includes a sample supply part 10 , a reagent supply part 20 , a reaction part 30 , a measurement part 40 and a processor 50 .
  • the sample supply unit 10 is used to supply samples; the samples can be blood samples or body fluid samples; the body fluid samples can be, for example, cerebrospinal fluid, pleural effusion, ascites, pericardial fluid, joint fluid, dialysate of peritoneal dialysis or intraperitoneal cleaning solution, etc.; the reagent supply part 20 is used to supply reagents, such as hemolytic agents, fluorescent agents and/or diluents, etc.; sample; the measuring unit 40 is used to detect the prepared sample, or to detect the sample to obtain detection data; the processor 50 is used to calculate the detection result according to the detection data, and to invent the processing in some embodiments
  • the processor 50 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 processing (DSP), etc.
  • the sample supply part 10 can include a sample needle, and the sample needle can move two-dimensionally or three-dimensionally in space through a two-dimensional or three-dimensional driving mechanism, so that the sample needle can move to absorb a container carrying a sample (such as a sample The sample in the tube) is then moved to a reaction site such as the reaction part 30 for providing the test sample and the reagent, and the sample is added to the reaction part 30.
  • the reagent supply part 20 may include a region for carrying the reagent container and a reagent liquid path connecting the reagent container with the reaction part 30 , and the reagent is added from the reagent container into the reaction part 30 through the reagent liquid path.
  • the reagent supply part 20 may also include a reagent needle, and the reagent needle moves in space in two or three dimensions through a two-dimensional or three-dimensional driving mechanism, so that the reagent needle can move to absorb the reagent in the reagent container, Then move to the reaction place for providing the test sample and the reagent, such as the reaction part 30, and add the reagent to the reaction part 30.
  • the reaction section 30 may include one or more reaction cells.
  • the reaction part 30 is used to provide a processing place or a reaction place for samples and reagents. Different detection items can share the same reaction pool; different detection items can also use different reaction pools.
  • the reagent includes one or more of a hemolytic agent, a fluorescent agent, and a diluent.
  • a hemolytic agent is a reagent capable of lysing red blood cells in blood samples and body fluid samples, specifically, it can be any one of cationic surfactants, nonionic surfactants, anionic surfactants, and amphiphilic surfactants one or a combination of several.
  • the fluorescent agent is used to stain blood cells, and the specific type is selected according to the detection item. Isotonic electrolyte diluent can be used to maintain the shape of cell particles to prepare samples for impedance method counting, etc.
  • the measurement unit 40 includes an optical detection unit 60 and/or an impedance method counting unit 80 , which will be described in detail below.
  • the measurement unit 40 may include an optical detection unit 60.
  • the optical detection unit 60 can measure the sample through the principle of laser scattering. For example, scattered light and fluorescence, to classify and count cells, etc.-of course, in some embodiments, if the cells are not treated with fluorescent reagents, then naturally no fluorescence can be collected. Next, the optical detection unit 60 in the measurement unit 40 will be described.
  • the optical detection unit 60 can measure the sample by the principle of laser light scattering. The principle is: irradiate the laser light on the cells, and collect the light signals generated after the cells are irradiated, such as scattered light and/or fluorescence. Cells are sorted and counted etc - of course in some embodiments if the cells are not treated with a fluorescent reagent then naturally no fluorescence is collected. Next, the optical detection unit 60 in the measurement unit 40 will be described.
  • the optical detection unit 60 may include a light source 61 , a flow chamber 62 and an optical detector 69 .
  • the flow chamber 62 communicates with the reaction part 30 and is used for the cells of the sample to be tested to pass one by one; the light source 61 is used to irradiate the cells passing through the flow chamber 62 , and the optical detector 69 is used to obtain the light signal of the cells passing through the flow chamber 62 .
  • the optical detector 69 may include a lens group 63 for collecting forward scattered light, and is used for photoelectric detection of converting the collected forward scattered light from an optical signal into an electrical signal Device 64, 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 to an electrical signal, for A photodetector 68 that converts the collected side fluorescence from an optical signal to an electrical signal; wherein the dichroic mirror 66 is used for light splitting, and divides the mixed side scattered light and side fluorescence into two paths, one path is Side scattered light, all the way for side fluorescence.
  • the optical signal herein may refer to an optical signal, or may refer to an electrical signal converted from an optical signal, and they are substantially consistent in characterizing the information contained in the cell detection result.
  • the flow chamber 62 is used for passing the cells of the sample to be tested one by one.
  • the red blood cells in the sample are dissolved by some reagents such as hemolytic agents, or are further dyed by a fluorescent agent, and the sheath flow technology is used to make the prepared cells in the sample to be tested sequentially from the flow chamber 62 Queue through one by one.
  • the direction of the Y-axis in the figure is the direction of cell movement in the sample to be tested. It should be noted that the direction of the Y-axis in the figure is the direction perpendicular to the paper.
  • a light source 61 is used to illuminate cells passing through the flow chamber 62 .
  • the light source 61 is a laser, such as a He-Ne laser or a semiconductor laser.
  • a laser such as a He-Ne laser or a semiconductor laser.
  • the light emitted by the light source 61 irradiates the cells passing through the flow chamber 62, and the light irradiated on the cells will generate Scattering, through the lens group 63 to collect forward scattered light—for example, the direction of the Z axis in the figure, so that it reaches the photodetector 64, so that the information processing unit 70 can obtain the forward scattered light information of the cells from the photodetector 64 ;
  • the side light is collected by lens group 65 -- for example, the direction of the X axis in the figure, and the collected side light is reflected and refracted by the dichroic mirror 66, wherein the side light The side scattered light in the side light is reflected when passing through the dichroic mirror 66, and then reaches the corresponding photodetector
  • FIG. 5 is another example of the optical detection unit 60 .
  • a collimating lens 61a can be introduced between the light source 61 and the flow chamber 62, and the light emitted by the light source 61 is collimated by the collimating lens 61a and then passes through the flow chamber 62 cells irradiated.
  • a filter 66a in order to make the collected fluorescence noise less (that is, there is no interference from other light), a filter 66a can be set in front of the photodetector 68, and the side fluorescence after being split by the dichroic mirror 66 Then it reaches the photodetector 68 after passing through the optical filter 66a.
  • a diaphragm 63a is introduced to limit the angle of the forward scattered light that finally reaches the photodetector 64, for example, the forward scattered light is limited to a low angle (or small angles) forward scattered light.
  • the leukocytes can be classified and counted by the laser light scattering method, and the above-mentioned optical detection unit 60 is an example.
  • the scattered light produced by the cells irradiated by the laser beam is related to the cell size, the refractive index of the cell membrane and the internal structure of the cell. According to the scattered light signal, the distribution map of the size of blood cells and the internal information of the cells can be obtained, which is called a scatter diagram.
  • the impedance counting unit 80 includes a counting cell 81 , a pressure source 83 , a constant current power supply 85 and a voltage pulse detection unit 87 .
  • the counting cell 81 includes a micropore 81 a, and the counting cell 81 is used for the reaction part 30 to receive the sample.
  • the pressure source 83 is used to provide pressure to make the cells contained in the sample in the counting cell 81 pass through the micropore 81a.
  • the two ends of the constant current power supply 85 are respectively electrically connected to the two ends of the microhole 81a.
  • the voltage pulse detection component 87 is electrically connected to the constant current power supply 85 and is used to detect the voltage pulse generated when the cells pass through the micropore 81a.
  • the white blood cells can also be classified and counted by the impedance method, and the above-mentioned impedance method counting part 80 is an example.
  • the histogram of the cells can be statistically formed, so that the classification and counting of the cells can be completed.
  • white blood cells can be classified and counted no matter by the laser light scattering method or the electrical impedance method.
  • the red blood cell fragments are close to the lymphocyte area. Only when the red blood cell fragments are small enough can they be distinguished from lymphocytes, and the neutrophils, lymphocytes, and monocytes can be obtained through the scatter diagram. and classification results for eosinophils.
  • reaction conditions for counting and classifying white blood cells are the same or similar.
  • the reaction conditions generally include hemolytic dose, sample size, reaction temperature and reaction time. , under the usual or default reaction conditions (that is, the reaction conditions commonly used and set by the instrument at present), there is a clear boundary between red blood cell fragments and lymphocytes in most samples, and the white blood cell classification results can be accurately obtained.
  • the reaction time is also 30s.
  • the scatter diagram is shown in Figure 8.
  • the size of red blood cell fragments is in the same area as lymphocytes, and it can be seen that sometimes Red blood cell debris can also get into the area where other white blood cells are, making it impossible to test for differentiating and counting white blood cells.
  • the abscissa in Fig. 7 and Fig. 8 represents the scattered light signal collected at the medium angle, that is, the side scattered light signal, and the ordinate represents the scattered light signal collected at the low angle, that is, the forward scattered light signal. scattered light signal.
  • the white blood cell histogram formed by the detection data of the electrical impedance method is also similar. Under normal reaction conditions, ghost cells and lymphocytes have a clear boundary. However, some samples appear under normal reaction conditions, and the dividing line between ghost cells and white blood cells is not obvious, resulting in inaccurate results of white blood cell classification and counting. By prolonging the reaction time, red blood cell fragments can also be made The dividing line between and and white blood cells becomes apparent.
  • the sample analysis device in some embodiments has multiple white blood cell measurement modes.
  • the white blood cell measurement mode at least includes a parameter of reaction time, and the reaction time of different white blood cell measurement modes is different, that is to say, the difference between different white blood cell measurement modes is at least that the corresponding reaction time is different.
  • the white blood cell measurement mode further includes a white blood cell classification algorithm, and the white blood cell classification algorithms of different white blood cell measurement modes are also different.
  • any current sample A to be tested its detection and processing process can be as follows:
  • the processor 50 acquires the current white blood cell measurement mode of the sample A to be tested; the processor 50 sets the reaction time of the sample A to be tested according to the current white blood cell measurement mode of the sample A to be tested, that is, the reaction time of the sample A to be tested is set to The response time of the current white blood cell measurement mode; the processor 50 controls the sample supply part 10 to provide the sample A to be tested to the reaction part 30, and controls the reagent supply part 20 to provide reagents including hemolytic agents to the reaction part 30; the processor 50 according to The reaction time set for the sample A to be tested (that is, the reaction time of its current white blood cell measurement mode) controls the reaction between the sample A to be tested and the reagent in the reaction part 30, and the reaction time is the set reaction time of the sample A to be tested time, to prepare a sample for measuring white blood cells; the processor 50 controls the measuring unit 40 to measure the sample (that is, the sample for measuring white blood cells prepared from the sample A to be tested and the reagent) to obtain the detection of white blood cell classification data
  • the sample analysis device has three white blood cell measurement modes, white blood cell measurement mode 1, white blood cell measurement mode 2, and white blood cell measurement mode 3.
  • the response time is 90s. If the current white blood cell measurement mode of the sample A to be tested is the white blood cell measurement mode 1, the processor 50 will control the sample A to be tested and the reagent to react in the reaction part 30 for 30 seconds, so as to prepare a sample for measuring white blood cells.
  • the processor 50 After the processor 50 acquires the detection data of the white blood cell classification, it may further calculate the detection result according to the detection data, so as to obtain the detection result of the white blood cell classification. In some embodiments, the processor 50 may also process the leukocyte classification detection data of the test sample A according to the leukocyte classification algorithm of the current leukocyte measurement mode of the test sample A to obtain the leukocyte classification detection result. In some embodiments, the difference between the white blood cell classification algorithms of different white blood cell measurement modes lies in that the preset classification areas for different types of white blood cells are different on the scatter diagram.
  • Figure 9 is a scatter diagram of the same sample in different white blood cell measurement modes, wherein the reaction times of the white blood cell measurement modes from left to right are 30s, 60s and 90s respectively;
  • the center of gravity in the figure is different.
  • the abscissa in Figure 9 represents the scattered light signal collected at the middle angle, that is, the side is the forward scattered light signal, and the ordinate represents the scattered light signal collected at a low angle, that is, the forward scattered light signal.
  • the processor 50 also judges whether the blood shadow interferes with the detection result of the white blood cell classification according to the detection data of the white blood cell classification. The user is prompted to switch the white blood cell measurement mode; otherwise, if there is no interference, the processor 50 calculates and outputs the detection result of cell classification. FIG. 10 is an example. When the processor 50 judges that the blood shadow interferes with the detection result of the white blood cell classification, a corresponding prompt is issued.
  • test sample A Let’s still take the test sample A as an example.
  • the test sample A needs to be retested and retested.
  • the retesting and retesting of the sample A to be tested can be completed through automatic retesting or manual retesting, which will be described in detail below.
  • the processor 50 when the processor 50 judges that the blood ghost interferes with the detection result of the white blood cell classification, the processor 50 also controls to retest the sample A to be tested in a mode different from the current white blood cell measurement mode of the sample A to be tested; in some embodiments, The reaction time of the white blood cell measurement mode when the test sample A is retested is longer than the reaction time of the white blood cell measurement mode before the test sample A is retested.
  • the current white blood cell measurement mode of the sample A to be tested is the white blood cell measurement mode 1.
  • the processor 50 controls the white blood cell measurement mode to be different from that of the white blood cell measurement mode 1.
  • Other white blood cell measurement modes (such as white blood cell measurement mode 2 or white blood cell measurement mode 3) are used to retest sample A to be tested.
  • the sample analysis device can provide a sample white blood cell measurement mode setting interface.
  • the processor 50 can also generate a sample white blood cell measurement mode setting interface.
  • the sample white blood cell measurement mode setting interface is used for The user operates to set the sample to be tested into a corresponding white blood cell measurement mode.
  • the white blood cell measurement mode setting interface in addition to setting the white blood cell measurement mode of the sample to be retested during manual retesting, the white blood cell measurement mode can also be set for other samples to be tested. Therefore, the white blood cell measurement mode setting interface can have the following usage scenarios.
  • One scenario is: there are the same batch of samples A, B, C, and D to be tested (for example, they all belong to the same subspecies), and the sample analysis device will sequentially detect samples A, B, C, and D to be tested. If blood shadows are found to interfere with the white blood cell classification test results during the test, the user can set the white blood cell measurement mode when the sample A is retested through the white blood cell measurement mode interface (for example, from the white blood cell measurement mode 1 before the retest to the white blood cell measurement mode during the retest mode 3), and the remaining isometry samples B, C, and D can also be set from the default white blood cell measurement mode 1 to white blood cell measurement mode 3.
  • Another scenario is: there are the same batch of samples A, B, C, and D to be tested (for example, they all belong to the same subspecies), and the user is well aware that these samples A, B, C, and D to be tested will show blood under normal reaction conditions. Therefore, in the sample application stage, the white blood cell measurement modes of the samples A, B, C, and D to be tested are set to, for example, white blood cell measurement mode 3.
  • FIG. 11 is an example of the white blood cell measurement mode setting interface, and the user can set the white blood cell measurement mode for each sample to be tested through the drop-down box.
  • the sample analysis device in some embodiments of the present invention is used to analyze samples of one or more animals, and for at least one of the animals, the sample analysis device has multiple white blood cell measurement modes, and the white blood cell measurement mode is at least Including reaction time, the reaction time of different leukocyte measurement modes in the same animal is different.
  • the white blood cell measurement mode further includes a white blood cell classification algorithm, and the white blood cell classification algorithms of different white blood cell measurement modes are also different.
  • any current sample A to be tested its detection and processing process can be as follows:
  • the processor 50 acquires the current white blood cell measurement mode of the sample A to be tested; the processor 50 sets the reaction time of the sample A to be tested according to the current white blood cell measurement mode of the sample A to be tested, that is, the reaction time of the sample A to be tested is set to The response time of the current white blood cell measurement mode; the processor 50 controls the sample supply part 10 to provide the sample A to be tested to the reaction part 30, and controls the reagent supply part 20 to provide reagents including hemolytic agents to the reaction part 30; the processor 50 according to The reaction time set for the sample A to be tested (that is, the reaction time of its current white blood cell measurement mode) controls the reaction between the sample A to be tested and the reagent in the reaction part 30, and the reaction time is the set reaction time of the sample A to be tested time, to prepare a sample for measuring white blood cells; the processor 50 controls the measuring unit 40 to measure the sample (that is, the sample for measuring white blood cells prepared from the sample A to be tested and the reagent) to obtain the detection of white blood cell classification data
  • sample A to be tested is a pig sample.
  • the sample analysis device has three white blood cell measurement modes, white blood cell measurement mode 1, white blood cell measurement mode 2, and white blood cell measurement mode 3.
  • the response time of white blood cell measurement mode 1 is 30s, and the white blood cell measurement mode
  • the response time of 2 is 60s, and the response time of white blood cell measurement mode 3 is 90s. If the current white blood cell measurement mode of the sample A to be tested is the white blood cell measurement mode 1, the processor 50 will control the sample A to be tested and the reagent to react in the reaction part 30 for 30 seconds, so as to prepare a sample for measuring white blood cells.
  • the processor 50 After the processor 50 acquires the detection data of the white blood cell classification, it may further calculate the detection result according to the detection data, so as to obtain the detection result of the white blood cell classification. In some embodiments, the processor 50 may also process the leukocyte classification detection data of the test sample A according to the leukocyte classification algorithm of the current leukocyte measurement mode of the test sample A to obtain the leukocyte classification detection result. In some embodiments, the difference between the white blood cell classification algorithms of different white blood cell measurement modes lies in that the preset classification areas for different types of white blood cells are different on the scatter diagram.
  • the processor 50 also judges whether the blood shadow interferes with the detection result of the white blood cell classification according to the detection data of the white blood cell classification. The user is prompted to switch the white blood cell measurement mode; otherwise, if there is no interference, the processor 50 calculates and outputs the detection result of cell classification. For example, FIG. 10 above is an example. When the processor 50 judges that the blood shadow interferes with the detection result of the white blood cell classification, a corresponding prompt is issued.
  • test sample A Let’s still take the test sample A as an example.
  • the test sample A needs to be retested and retested.
  • the retesting and retesting of the sample A to be tested can be completed through automatic retesting or manual retesting, which will be described in detail below.
  • the processor 50 when the processor 50 judges that the blood ghost interferes with the detection result of the white blood cell classification, the processor 50 also controls to retest the sample A to be tested in a mode different from the current white blood cell measurement mode of the sample A to be tested; in some embodiments, The reaction time of the white blood cell measurement mode when the test sample A is retested is longer than the reaction time of the white blood cell measurement mode before the test sample A is retested.
  • the current white blood cell measurement mode of the sample A to be tested is the white blood cell measurement mode 1.
  • the processor 50 controls the white blood cell measurement mode to be different from that of the white blood cell measurement mode 1.
  • Other white blood cell measurement modes (such as white blood cell measurement mode 2 or white blood cell measurement mode 3) are used to retest sample A to be tested.
  • the sample analysis device may provide a white blood cell measurement mode setting interface during retesting for the user to operate to set the white blood cell measurement mode of the sample to be retested.
  • the sample analysis device can also provide a white blood cell measurement mode setting interface.
  • the processor 50 can also generate a white blood cell measurement mode setting interface, and the white blood cell measurement mode setting interface is used for the user to operate. WBC measurement mode is set.
  • the white blood cell measurement mode setting interface includes an animal type item and a reaction time item, the animal type item is used for the user to operate to set the animal type, and the reaction time item is used for the user to operate to set the corresponding animal type WBC measurement mode.
  • the processor 50 can also generate a sample application interface for the user to operate to set the sample to be tested to a corresponding animal type, as shown in FIG. 13 .
  • the sample to be tested can be set to the corresponding animal type through the sample application interface, and the sample to be tested can be set to the corresponding animal type through the white blood cell measurement mode setting interface, so that the setting of the white blood cell measurement mode of the sample can be finally completed.
  • the sample analysis device in some embodiments can set the reaction time of each animal species to several different reaction times for some or all animal species, and the user can adjust the reaction time of the animal according to the characteristics of the sample.
  • the settings can not only take into account the test speed, but also ensure the accuracy of the classification results.
  • Some embodiments of the present invention also disclose a sample analysis method. Please refer to FIG. 14 , the sample analysis method in some embodiments includes the following steps:
  • Step 100 Obtain the white blood cell measurement mode of the current sample to be tested (hereinafter referred to as the sample to be tested A); wherein the sample analysis method has multiple white blood cell measurement modes, and the white blood cell measurement mode includes at least reaction time, different white blood cell measurement modes Modes have different reaction times.
  • Step 110 Determine the reaction time of the current sample A to be tested according to the white blood cell measurement mode of the current sample A to be tested.
  • Step 120 According to the determined reaction time of the test sample A, control the reaction between the test sample A and the reagent including the hemolytic agent, so as to prepare a sample for measuring white blood cells; that is, the test sample A and the reagent including The reagents including the hemolytic agent are reacted for the reaction time of the white blood cell measurement mode of the sample A to be tested, thereby preparing a sample for measuring white blood cells.
  • Step 130 control to measure the sample for measuring white blood cells, so as to obtain detection data of white blood cell classification.
  • sample analysis method in some embodiments also includes the following steps:
  • Step 140 According to the detection data of the white blood cell classification, it is judged whether the ghost interferes with the detection result of the white blood cell classification.
  • step 142 control to issue a prompt.
  • step 142 controls sending out a prompt that blood shadows interfere with the white blood cell classification result, and/or controls sending out a prompt prompting the user to switch the white blood cell measurement mode.
  • sample analysis method in some embodiments also includes the following steps:
  • Step 144 When it is judged that the blood ghost interferes with the detection result of the white blood cell classification, control the retesting of the sample A to be tested in a mode different from the current white blood cell measurement mode of the sample A to be tested.
  • the response time of the white blood cell measurement mode when the test sample A is retested is greater than the reaction time of the white blood cell measurement mode before the test sample A is retested.
  • the current white blood cell measurement mode of sample A to be tested is white blood cell measurement mode 1.
  • step 144 controls to use other white blood cells different from white blood cell measurement mode 1.
  • measurement mode (such as white blood cell measurement mode 2 or white blood cell measurement mode 3) to retest sample A to be tested.
  • sample analysis method in some embodiments also includes the following steps:
  • Step 146 In response to the retest instruction, generate and display a white blood cell measurement mode setting interface; the white blood cell measurement mode setting interface displays the reaction time before retesting of the sample to be tested;
  • Step 148 In response to the operation on the white blood cell measurement mode setting interface, set the white blood cell measurement mode when the sample to be tested is retested.
  • the white blood cell measurement mode further includes a white blood cell classification algorithm
  • the white blood cell classification algorithm is different for different white blood cell measurement modes
  • the sample analysis method further includes a step: according to the white blood cell classification algorithm of the current white blood cell measurement mode of the sample to be tested, Processing the detection data of the white blood cell classification to obtain the detection result of the white blood cell classification.
  • the difference between the white blood cell classification algorithms of different white blood cell measurement modes lies in that the preset classification areas for different types of white blood cells are different on the scatter diagram.
  • all or part of them may be implemented by software, hardware, firmware or any combination thereof.
  • the principles herein may be embodied in a computer program product on a computer-readable storage medium having computer-readable program code preloaded thereon, as understood by those skilled in the art.
  • 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 discs, etc.), flash memory and/or the like .
  • These computer program instructions can be loaded into a general purpose computer, special purpose computer or other programmable data processing apparatus to form a machine, so that these instructions executed on the computer or other programmable data processing apparatus can generate an apparatus for realizing specified functions.
  • These computer program instructions may also be stored in a computer-readable memory which can instruct a computer or other programmable data processing device to operate in a particular manner such that the instructions stored in the computer-readable memory form a Manufactures, including implementing devices for implementing specified functions.
  • Computer program instructions can also be loaded on a computer or other programmable data processing device, thereby performing a series of operational steps on the computer or other programmable device to produce a computer-implemented process, so that the computer or other programmable device Instructions may provide steps for performing specified functions.
  • the term “comprises” and any other variants thereof are non-exclusive, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also elements not expressly listed or not part of the process. , method, system, article or other element of a device.
  • the term “coupled” and any other variations thereof, as used herein refers to a physical connection, an electrical connection, a magnetic connection, an optical connection, a communicative connection, a functional connection, and/or any other connection.

Abstract

一种样本分析装置和样本分析方法,获取当前待测样本的白细胞测量模式(100);其中样本分析方法具有多种白细胞测量模式,白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同;根据当前待测样本的白细胞测量模式,确定当前待测样本的反应时间(110);根据所确定的待测样本的反应时间,控制待测样本与包括溶血剂在内的试剂进行反应(120),以制备用于测定白细胞的试样;控制对测定白细胞的试样进行测定,以获取白细胞分类的检测数据(130)。

Description

一种样本分析装置和样本分析方法 技术领域
本发明涉及体外诊断领域,具体涉及一种样本分析装置和样本分析方法。
背景技术
样本分析装置,例如用于体液或血液的样本分析装置它们可检测血液和体液中细胞粒子,例如可以对白细胞(WBC)、红细胞(RBC)、血小板(PLT)、有核红细胞(NRBC)和网织红细胞(Ret)等细胞粒子进行计数及分类。
白细胞由中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞和嗜碱性粒细胞组成,对白细胞进行分类和计数,在临床诊断上是十分有意义的。一个检测流程是这样的:通过溶血剂处理样本(体液或血液样本),将其中的红细胞溶解掉变成血影(或者说红细胞碎片),以防止对白细胞分类和计数造成干扰。
在白细胞分类和计数过程中,有样本出现了异常结果。
技术问题
针对上述问题,本发明主要提供一种样本分析装置和样本分析方法,下面具体说明。
技术解决方案
根据第一方面,一种实施例提供一种样本分析装置,所述样本分析装置用于对一种或多种动物进行样本的分析,并对于其中至少一种动物,所述样本分析装置具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,同一种动物的不同白细胞测量模式的反应时间不同;所述样本分析装置包括:
样本供给部,用于供给样本;
试剂供给部,用于供给试剂;
反应部,用于为所述样本和所述试剂提供反应场所,以制备由所述样本和试剂反应而形成的试样;
测定部,用于检测所述试样以得到检测数据;以及
处理器,用于根据所述检测数据计算检测结果;其中:
所述处理器获取待测样本当前的白细胞测量模式;
所述处理器根据所述待测样本当前的白细胞测量模式,设置所述待测样本的反应时间;
所述处理器控制所述样本供给部向所述反应部提供所述待测样本,和控制所述试剂供给部向所述反应部提供包括溶血剂在内的试剂;
所述处理器根据所述待测样本被设置的反应时间,控制所述待测样本和试剂在所述反应部中反应,以制备用于测定白细胞的试样;
所述处理器控制所述测定部测定所述试样,以获取白细胞分类的检测数据。
一实施例中,所述白测量模式还包括白细胞分类算法,同一种动物的不同白细胞测量模式的白细胞分类算法不同;
所述处理器根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
一实施例中,所述处理器根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则所述处理器控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
一实施例中,当所述处理器判断血影干扰白细胞分类的检测结果时,所述处理器还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
一实施例中,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
一实施例中,所述处理器还能够生成白细胞测量模式设置界面,所述白细胞测量模式设置界面用于供用户操作以对动物的白细胞测量模式进行设置。
一实施例中,所述白细胞测量模式设置界面包括动物类型项和反应时间项,所述动物类型项用于供用户操作以设置动物类型,所述反应时间项用于供用户操作以设置动物类型对应的白细胞测量模式。
一实施例中,所述处理器还能够生成样本申请界面,所述样本申请界面用于供用户操作以将待测样本设置成相应的动物类型。
根据第二方面,一种实施例提供一种样本分析装置,所述样本分析装置具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同;所述样本分析装置包括:
样本供给部,用于供给样本;
试剂供给部,用于供给试剂;
反应部,用于为所述样本和所述试剂提供反应场所,以制备由所述样本和试剂反应而形成的试样;
测定部,用于检测所述试样以得到检测数据;以及
处理器,用于根据所述检测数据计算检测结果;其中:
所述处理器获取待测样本当前的白细胞测量模式;
所述处理器根据所述待测样本当前的白细胞测量模式,设置所述待测样本的反应时间;
所述处理器控制所述样本供给部向所述反应部提供所述待测样本,和控制所述试剂供给部向所述反应部提供包括溶血剂在内的试剂;
所述处理器根据所述待测样本被设置的反应时间,控制所述待测样本和试剂在所述反应部中反应,以制备用于测定白细胞的试样;
所述处理器控制所述测定部测定所述试样,以获取白细胞分类的检测数据。
一实施例中,所述白测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法不同;
所述处理器根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
一实施例中,所述处理器根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则所述处理器控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
一实施例中,当所述处理器判断血影干扰白细胞分类的检测结果时,所述处理器还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
一实施例中,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
一实施例中,所述处理器还能够生成样本的白细胞测量模式设置界面,所述样本的白细胞测量模式设置界面用于供用户操作以将待测样本设置成相应的白细胞测量模式。
根据第三方面,一种实施例提供一种样本分析方法,包括:
获取当前待测样本的白细胞测量模式;其中所述样本分析方法具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同;
根据当前待测样本的白细胞测量模式,确定当前待测样本的反应时间;
根据所确定的待测样本的反应时间,控制所述待测样本与包括溶血剂在内的试剂进行反应,以制备用于测定白细胞的试样;
控制对所述测定白细胞的试样进行测定,以获取白细胞分类的检测数据。
一实施例中,所述白测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法不同;所述样本分析方法还包括:
根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
一实施例中,所述样本分析方法还包括:
根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果;
若干扰,则控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
一实施例中,当判断血影干扰白细胞分类的检测结果时,还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
一实施例中,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
一实施例中,所述样本分析方法还包括:
响应于重测指令,生成并显示白细胞测量模式设置界面;所述白细胞测量模式设置界面显示有所述待测样本重测前的反应时间;
响应于对所述白细胞测量模式设置界面的操作,设置所述待测样本重测时的白细胞测量模式。
根据第四方面,一种实施例提供一种计算机可读存储介质,所述计算机可读存储介质存储有程序,所述程序能够被处理器执行以实现本文任一实施例所述的方法。
附图说明
图1为一种实施例的样本分析装置的结构示意图;
图2为一种实施例的样本分析装置的结构示意图;
图3为一种实施例的光学检测部的结构示意图;
图4为一种实施例的光学检测部的结构示意图;
图5为一种实施例的光学检测部的结构示意图;
图6为一种实施例的阻抗法计数部件的结构示意图;
图7为一种实施例的散点图的例子;
图8为一种实施例的散点图的例子;
图9为一种实施例的三种不同白细胞测量模式下的散点图的例子;
图10为一种实施例的发出血影干扰提示的例子;
图11为一种实施例的样本的白细胞测量模式设置界面的一个例子;
图12为一种实施例的白细胞测量模式设置界面的一个例子;
图13为一种实施例的样本申请界面的一个例子;
图14为一种实施例的样本分析方法的流程图;
图15为一种实施例的样本分析方法的流程图;
图16为一种实施例的样本分析方法的流程图;
图17为一种实施例的样本分析方法的流程图。
本发明的实施方式
下面通过具体实施方式结合附图对本发明作进一步详细说明。其中不同实施方式中类似元件采用了相关联的类似的元件标号。在以下的实施方式中,很多细节描述是为了使得本申请能被更好的理解。然而,本领域技术人员可以毫不费力的认识到,其中部分特征在不同情况下是可以省略的,或者可以由其他元件、材料、方法所替代。在某些情况下,本申请相关的一些操作并没有在说明书中显示或者描述,这是为了避免本申请的核心部分被过多的描述所淹没,而对于本领域技术人员而言,详细描述这些相关操作并不是必要的,他们根据说明书中的描述以及本领域的一般技术知识即可完整了解相关操作。
另外,说明书中所描述的特点、操作或者特征可以以任意适当的方式结合形成各种实施方式。同时,方法描述中的各步骤或者动作也可以按照本领域技术人员所能显而易见的方式进行顺序调换或调整。因此,说明书和附图中的各种顺序只是为了清楚描述某一个实施例,并不意味着是必须的顺序,除非另有说明其中某个顺序是必须遵循的。
本文中为部件所编序号本身,例如“第一”、“第二”等,仅用于区分所描述的对象,不具有任何顺序或技术含义。而本申请所说“连接”、“联接”,如无特别说明,均包括直接和间接连接(联接)。
本申请中的样本是指血液样本和体液。申请人发现,在样本测试过程中,有一些样本会出现血影比较严重地干扰白细胞分类的情况。进一步地研究发现,同一种动物的不同亚种会稳定地表现出这一点,更进一步地还发现,这种情况也会受到动物的饲养条件等影响。需要说明的是,本申请中的动物也包括人。
如果单单只靠事后的重测来解决此类问题,不仅浪费样本和试剂,同时也会使得样本出结果时间变长;并且,对于没有自动重测和复检功能的仪器,还需要浪费人力去人工收回样本并重新放仪器来重测和复检。
考虑到上面的这些问题,本申请提出一种样本分析装置,其具有至少两种以上的白细胞测量模式,这些白细胞测量模式的区别至少在于样本和试剂的反应时间的不同。通过延长反应时间,可以使得红细胞在溶血剂的作用下,形成的碎片或者说血影足够小,从而不影响白细胞分类和计数;并且考虑到测量速度和效率的问题,设置多种白细胞测量模式,以兼顾效率和结果的准确度。下面具体说明。
本申请一些实施例中公开了一种样本分析装置。请参照图1,一些实施例的样本分析装置包括样本供给部10、试剂供给部20、反应部30、测定部40和处理器50。一些具体实施例中,样本供给部10用于供给样本;样本可以是血液样本或体液样本;体液样本例如可以是脑脊液、胸水、腹水、心囊液、关节液、腹膜透析的透析液或腹腔内清洗液等;试剂供给部20则用于供给试剂,例如溶血剂、荧光剂和/或稀释液等;反应部30用于为样本和试剂提供反应场所,以制备由样本和试剂反应而形成的试样;测定部40则用于对所制备的试样进行检测,或者说检测所述试样以得到检测数据;处理器50则用于根据检测数据计算检测结果,发明一些实施例中的处理器50包括但不限于中央处理器(Central Processing Unit,CPU)、微控制单元(Micro Controller Unit,MCU)、现场可编程门阵列(Field-Programmable Gate Array,FPGA)和数字信号处理(DSP)等用于解释计算机指令以及处理计算机软件中的数据的装置。一些实施例中,处理器50用于执行该非暂时性计算机可读存储介质中的各计算机应用程序,从而使样本分析装置执行相应的检测流程。
下面对各部件进行更进一步的说明。
一些实施例中,样本供给部10可以包括样本针,样本针通过二维或三维的驱动机构来在空间上进行二维或三维的运动,从而样本针可以移动去吸取承载样本的容器(例如样本管)中的样本,然后移动到用于为被测样本和试剂提供反应场所例如反应部30,向反应部30加入样本。
一些实施例中,试剂供给部20可以包括承载试剂容器的区域和将试剂容器与反应部30连通的试剂液路,通过试剂液路将试剂从试剂容器加入到反应部30中。一些实施例中,试剂供给部20也可以包括试剂针,试剂针通过二维或三维的驱动机构来在空间上进行二维或三维的运动,从而试剂针可以移动去吸取试剂容器中的试剂,然后移动到用于为被测样本和试剂提供反应场所例如反应部30,向反应部30加入试剂。
反应部30可以包括一个或多个反应池。反应部30用于提供样本和试剂的处理场所或者说反应场所。不同的检测项目可以共用同一个反应池;不同的检测项目也可以使用不同的反应池。
通过使用试剂来处理样本,可以得到待测试样。一些实施例中,试剂包括溶血剂、荧光剂和稀释液中的一种或多种。溶血剂是一种能够将血液样本和体液样本中红细胞溶解的试剂,具体地,其可以是阳离子表面活性剂、非离子表面活性剂、阴离子表面活性剂、两亲性表面活性剂中的任意一种或几种的组合。荧光剂用于对血细胞进行染色,具体种类根据检测项目进行选择。等渗电解质稀释液可以用于保持细胞粒子的形形态,以制备用于阻抗法计数的试样等。
一些实施例中,请参照图2,测定部40包括光学检测部60和/或阻抗法计数部件80,下面具体说明。
一些实施例中,测定部40可以包括光学检测部60,光学检测部60能够通过激光散射原理对样本进行测定,原理为:将激光照射在细胞上,通过收集细胞被照射后产生的光信号,例如散射光和荧光,来对细胞进行分类和计数等——当然在一些实施例中,如果细胞没有使用荧光试剂来处理,那么自然收集不到荧光。下面对测定部40中的光学检测部60进行说明。
一些实施例中,光学检测部60能够通过激光散射原理对样本进行测定,原理为:将激光照射在细胞上,通过收集细胞被照射后产生的光信号,例如散射光和/或荧光,来对细胞进行分类和计数等——当然在一些实施例中,如果细胞没有使用荧光试剂来处理,那么自然收集不到荧光。下面对测定部40中的光学检测部60进行说明。
请参照图3,光学检测部60可以包括光源61、流动室62和光学检测器69。流动室62与反应部30连通,用于供待测试样的细胞逐个通过;光源61用于照射通过流动室62的细胞,光学检测器69用于获取细胞通过流动室62的光信号。图4为光学检测部60的一个具体例子,光学检测器69可以包括用于收集前向散射光的透镜组63,用于将收集到的前向散射光由光学信号转换为电信号的光电探测器64,用于收集侧向散射光和侧向荧光的透镜组65,二向色镜66,用于将收集到的侧向散射光由光学信号转换为电信号的光电探测器67,用于将收集到的侧向荧光由光学信号转换为电信号的光电探测器68;其中二向色镜66用于分光,将混合在一起的侧向散射光和侧向荧光分为两路,一路为侧向散射光,一路为侧向荧光。需要说明的是,本文中光信号可以是指光学信号,也可以是指由光学信号转成的电信号,他们在表征细胞检测结果所含有的信息实质上是一致的。
不妨以图4所示的光学检测部60的结构为例,说明光学检测部60是如何具体来获取待测试样的光信号。
流动室62用于供待测试样的细胞逐个通过。例如在反应部30中将样本中的红细胞通过一些试剂例如溶血剂溶解,或者再进一步通过荧光剂染色后,采用鞘流技术,使得所制备的待测试样中的细胞从流动室62中依次一个接一个地排队通过。图中Y轴方向为待测试样中细胞运动的方向,需要说明的是,图中Y轴方向为垂直于纸面的方向。光源61用于照射通过流动室62的细胞。一些实施例中,光源61为激光器,例如氦氖激光器或半导体激光器等。当光源61发出的光照射到流动室62中的细胞时会向周围产生散射。因此,当制备好的待测试样中的细胞在鞘流的作用下逐个通过流动室62时,光源61发出的光向通过流动室62的细胞照射,照射到细胞上的光会向四周产生散射,通过透镜组63来收集前向散射光——例如图中Z轴的方向,使之到达光电探测器64,从而信息处理部70可以从光电探测器64获取到细胞的前向散射光信息;同时,在与照射到细胞的光线垂直的方向通过透镜组65收集侧向光——例如图中X轴的方向,收集的侧向光再通过二向色镜66发生反射和折射,其中侧向光中的侧向散射光在经过二向色镜66时发生反射,然后到达相应的光电探测器67,侧向光中的侧向荧光则经过折射或者说透射后也到达相应的光电探测器68,从而处理器50可以从光电探测器67获取到细胞的侧向散射光信息,从光电探测器68获取到细胞的侧向荧光信息。请参照图5,为光学检测部60另一个例子。为了使得光源61照射到流动室62的光性能更好,可以在光源61和流动室62之间引入准直透镜61a,光源61发出的光被准直透镜61a准直后再向通过流动室62的细胞照射。一些例子中,为了使得收集到的荧光噪声更少(即没有其他光的干扰),可以在光电探测器68的前面再设置一滤光片66a,经二向色镜66分光后的侧向荧光再经过滤光片66a后才到达光电探测器68。一些实施例子,在透镜组63收集前向散射光后,再引入一个光阑63a来限定最终到达光电探测器64的前向散射光的角度,例如将前向散射光限定为低角度(或者说小角度)的前向散射光。
通过激光散射法可以对白细胞进行分类和计数,上述的光学检测部60就是一个例子。细胞受到激光束的照射产生的散射光与细胞大小、细胞膜和细胞内部结构的折射率相关。根据散射光信号可以得到血细胞大小及细胞内部信息的分布图,称为散点图。
一些实施例中,请参照图6,阻抗法计数部件80包括计数池81、压力源83、恒流电源85和电压脉冲检测部件87。计数池81包括一微孔81a,计数池81用于反应部30接收试样。压力源83用于提供压力以使得计数池81中的试样所包含的细胞通过微孔81a。恒流电源85的两端分别与微孔81a的两端电连接。电压脉冲检测部件87与恒流电源85电连接,用于检测细胞通过微孔81a时产生的电压脉冲。
通过阻抗法也可以对白细胞进行分类和计数,上述的阻抗法计数部件80就是一个例子。通过收到与细胞相关的电压脉冲,可以统计形成细胞的直方图,从而可以完成对细胞的分类和计数。
可以看到,不论是通过激光散射法还是通过电阻抗法都可以对白细胞进行分类和计数。
不妨以激光散射法为例。申请人发现,在散点图中,红细胞碎片紧邻淋巴细胞区域,只有当红细胞碎片足够小,才能能与淋巴细胞区分开,才能通过散点图,得到中性粒细胞、淋巴细胞、单核细胞和嗜酸性粒细胞的分类结果。
对与狗、猫、马、绵羊、山羊、猪、奶牛等动物样本,进行白细胞计数和分类时的反应条件都是相同或相近的,反应条件一般包括溶血剂量、样本量、反应温度和反应时间,在通常或者说默认的反应条件下(也即仪器目前普遍所采用和设置的反应条件),多数样本红细胞碎片与淋巴细胞间有明显的分界,可以准确得到白细胞分类结果。
以猪为例,如测试杜勒克猪时,在通常的反应条件下,可以得到准确的分类结果;但是申请人发现,当测试西藏猪时,在默认的反应条件下,红细胞碎片和淋巴细胞区域重合,淋巴区域中混入红细胞碎片,造成淋巴分类偏高,无法准确给出白细胞分类结果。
具体地,哺乳动物样本在通常的反应条件下,血影和淋巴细胞的位置如图7所示,血影细胞和淋巴细胞有清晰的分界,也就是说,在溶血剂作用后的红细胞碎片足够小,不影响白细胞的分类和计数。
以猪为例,当对杜克猪进行反应调试时,我们发现30s的反应时间,红细胞碎片就足够小,不影响白细胞分类和计数结果,结果正如上图7所示。
但是当用同样的反应条件来检测西藏猪的样本中,反应时间同样为30s,这时候散点图如图8所示,红细胞碎片大小与淋巴细胞在同一区域,并且,可以看到,有时候红细胞碎片也会进入其他白细胞所在区域,导致无法对白细胞进行分类和计数测试。
需要说明的是,图7和图8中的横坐标表示中角度所收集到的散射光信号,也即侧向散射光信号,纵坐标表示低角度所收集到的散射光信号,也即前向散射光信号。
电阻抗法的检测数据所形成的白细胞直方图也是类似地,通常的反应条件下,血影细胞和淋巴细胞有清晰的分界也就是说,在溶血剂作用后的红细胞碎片足够小,不影响白细胞的分类和计数;但是有也样本出现在通常的反应条件下,血影细胞和白细胞之间的分界线不明显,导致白细胞分类和计数的结果不准确,通过延长反应时间,也可以使得红细胞碎片和和白细胞之间的分界线变得明显。
因此,一些实施例中的样本分析装置具有多种白细胞测量模式。白细胞测量模式至少包括反应时间这一参数,不同的白细胞测量模式的反应时间不同,也就是说,不同的白细胞测量模式的区别至少在于对应的反应时间不同。一些实施例中,白细胞测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法也是不同。
一些实施例中,对于任意一个当前待测样本A,其检测和处理过程可以是这样的:
处理器50获取待测样本A当前的白细胞测量模式;处理器50根据待测样本A当前的白细胞测量模式,设置待测样本A的反应时间,也就是将待测样本A的反应时间设置为其当前的白细胞测量模式的反应时间;处理器50控制样本供给部10向反应部30提供待测样本A,和控制试剂供给部20向反应部30提供包括溶血剂在内的试剂;处理器50根据待测样本A被设置的反应时间(也即其当前的白细胞测量模式的反应时间),控制待测样本A和试剂在反应部30中反应,反应的时间即为待测样本A被设置的反应时间,以制备用于测定白细胞的试样;处理器50控制测定部40测定该试样(即由待测样本A和试剂所制备的用于测定白细胞的试样),以获取白细胞分类的检测数据。
例如样本分析装置具有三种白细胞测量模式,白细胞测量模式1、白细胞测量模式2和白细胞测量模式3,白细胞测量模式1的反应时间为30s,白细胞测量模式2的反应时间为60s,白细胞测量模式3的反应时间为90s。如果待测样本A当前的白细胞测量模式为白细胞测量模式1,那么处理器50就会控制待测样本A和试剂在反应部30中反应30s,以制备用于测定白细胞的试样。
处理器50在获取到白细胞分类的检测数据后,可以进一步根据所述检测数据计算检测结果,以得到白细胞分类的检测结果。一些实施例中,处理器50还可以根据待测样本A当前的白细胞测量模式的白细胞分类算法,处理待测样本A的白细胞分类的检测数据,以得到白细胞分类的检测结果。一些实施例中,不同白细胞测量模式的白细胞分类算法,其区别在于在散点图上对各不同种类的白细胞所预设的分类区域不同。例如图9为同一个样本在不同白细胞测量模式下所形成的散点图,其中,从左到右的白细胞测量模式的反应时间分别为30s、60s和90s;对于同一种白细胞,其在每幅图中的重心有所不同,一般而言,反应时间越长,同一种白细胞的重心就趋向于朝左下方;其中图9中的横坐标表示中角度所收集到的散射光信号,也即侧向散射光信号,纵坐标表示低角度所收集到的散射光信号,也即前向散射光信号。
一些实施例中,处理器50还根据白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则处理器50控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示;反之,若不干扰,则处理器50计算并输出细胞分类的检测结果。如图10就是一个例子,当处理器50判断血影干扰白细胞分类的检测结果时,发出相应提示。
不妨仍以待测样本A为例,当通过待测样本A的白细胞分类的检测数据,判断血影干扰白细胞分类的检测结果,这时候需要对待测样本A进行复检和重测。可以通过自动重测或手动重测来完成对待测样本A的复检和重测,下面具体说明。
一些实施例中,当处理器50判断血影干扰白细胞分类的检测结果时,处理器50还控制以不同于待测样本A当前的白细胞测量模式对待测样本A进行重测;一些实施例中,待测样本A重测时的白细胞测量模式的反应时间,大于待测样本A重测前的白细胞测量模式的反应时间。例如待测样本A当前的白细胞测量模式为白细胞测量模式1,在该模式下测量时,处理器50判断血影干扰白细胞分类的检测结果时,则处理器50控制以不同于白细胞测量模式1的其他白细胞测量模式(例如白细胞测量模式2或白细胞测量模式3)来对待测样本A进行重测。
为了配合手动重测,样本分析装置可以提供样本的白细胞测量模式设置界面,例如一些实施例中,述处理器50还能够生成样本的白细胞测量模式设置界面,样本的白细胞测量模式设置界面用于供用户操作以将待测样本设置成相应的白细胞测量模式。
白细胞测量模式设置界面除了在手动重测时可以设置待重测的样本的白细胞测量模式,还可以对其他待测样本进行白细胞测量模式的设置。因此白细胞测量模式设置界面可以有以下使用场景。
一个场景是:有同一批待测样本A、B、C、D(例如都属于同一个亚种),样本分析装置依次会检测待测样本A、B、C、D,当对待测样本A进行检测时发现血影干扰白细胞分类的检测结果,则用户可以通过白细胞测量模式设置界面对待测样本A重测时的白细胞测量模式(例如从重测前的白细胞测量模式1设置为重测时的白细胞测量模式3),并且还可以将剩余的等测样本B、C、D也由默认的白细胞测量模式1设置为白细胞测量模式3。
另一个场景是:有同一批待测样本A、B、C、D(例如都属于同一个亚种),用户熟知这些待测样本A、B、C、D在普通的反应条件下会出现血影干扰白细胞分类的检测结果,因此在样本申请阶段即将这些待测样本A、B、C、D的白细胞测量模式设置为例如白细胞测量模式3。
图11为白细胞测量模式设置界面的一个例子,用户可以通过下拉选框,对各待测样本进行白细胞测量模式的设置。
本发明一些实施例中的样本分析装置用于对一种或多种动物进行样本的分析,并对于其中至少一种动物,所述样本分析装置具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,同一种动物的不同白细胞测量模式的反应时间不同。一些实施例中,白细胞测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法也是不同。
一些实施例中,对于任意一个当前待测样本A,其检测和处理过程可以是这样的:
处理器50获取待测样本A当前的白细胞测量模式;处理器50根据待测样本A当前的白细胞测量模式,设置待测样本A的反应时间,也就是将待测样本A的反应时间设置为其当前的白细胞测量模式的反应时间;处理器50控制样本供给部10向反应部30提供待测样本A,和控制试剂供给部20向反应部30提供包括溶血剂在内的试剂;处理器50根据待测样本A被设置的反应时间(也即其当前的白细胞测量模式的反应时间),控制待测样本A和试剂在反应部30中反应,反应的时间即为待测样本A被设置的反应时间,以制备用于测定白细胞的试样;处理器50控制测定部40测定该试样(即由待测样本A和试剂所制备的用于测定白细胞的试样),以获取白细胞分类的检测数据。
例如待测样本A为猪样本,对于猪,样本分析装置具有三种白细胞测量模式,白细胞测量模式1、白细胞测量模式2和白细胞测量模式3,白细胞测量模式1的反应时间为30s,白细胞测量模式2的反应时间为60s,白细胞测量模式3的反应时间为90s。如果待测样本A当前的白细胞测量模式为白细胞测量模式1,那么处理器50就会控制待测样本A和试剂在反应部30中反应30s,以制备用于测定白细胞的试样。
处理器50在获取到白细胞分类的检测数据后,可以进一步根据所述检测数据计算检测结果,以得到白细胞分类的检测结果。一些实施例中,处理器50还可以根据待测样本A当前的白细胞测量模式的白细胞分类算法,处理待测样本A的白细胞分类的检测数据,以得到白细胞分类的检测结果。一些实施例中,不同白细胞测量模式的白细胞分类算法,其区别在于在散点图上对各不同种类的白细胞所预设的分类区域不同。
一些实施例中,处理器50还根据白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则处理器50控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示;反之,若不干扰,则处理器50计算并输出细胞分类的检测结果。例如上图10就是一个例子,当处理器50判断血影干扰白细胞分类的检测结果时,发出相应提示。
不妨仍以待测样本A为例,当通过待测样本A的白细胞分类的检测数据,判断血影干扰白细胞分类的检测结果,这时候需要对待测样本A进行复检和重测。可以通过自动重测或手动重测来完成对待测样本A的复检和重测,下面具体说明。
一些实施例中,当处理器50判断血影干扰白细胞分类的检测结果时,处理器50还控制以不同于待测样本A当前的白细胞测量模式对待测样本A进行重测;一些实施例中,待测样本A重测时的白细胞测量模式的反应时间,大于待测样本A重测前的白细胞测量模式的反应时间。例如待测样本A当前的白细胞测量模式为白细胞测量模式1,在该模式下测量时,处理器50判断血影干扰白细胞分类的检测结果时,则处理器50控制以不同于白细胞测量模式1的其他白细胞测量模式(例如白细胞测量模式2或白细胞测量模式3)来对待测样本A进行重测。
为了配合手动重测,样本分析装置可以提供重测时白细胞测量模式设置界面,来供用户操作以对待重测的样本的白细胞测量模式进行设置。
另一些实施例中,样本分析装置也可以提供白细胞测量模式设置界面,例如一些实施例中,处理器50还能够生成白细胞测量模式设置界面,白细胞测量模式设置界面用于供用户操作以对动物的白细胞测量模式进行设置。一些实施例中,请参照图12,白细胞测量模式设置界面包括动物类型项和反应时间项,动物类型项用于供用户操作以设置动物类型,反应时间项用于供用户操作以设置动物类型对应的白细胞测量模式。一些实施例中,处理器50还能够生成样本申请界面,样本申请界面用于供用户操作以将待测样本设置成相应的动物类型,如图13就是一个例子。可以看到,通过样本申请界面能够将待测样本设置成相应的动物类型,通过白细胞测量模式设置界面能够将待测样本设置相应的动物类型,从而可以最终完成对样本的白细胞测量模式的设置。
可以看到,一些实施例的样本分析装置针对部分或全部动物种类,可以对每种动物种的反应时间进行设置,设置为几个不同的反应时间,用户可以根据样本的特点对动物的反应时间进行设置,既能兼顾测试速度,又能保证分类结果的准确性。
本发明一些实施例中还公开了一种样本分析方法。请参照图14,一些实施例中的样本分析方法包括以下步骤:
步骤100:获取当前待测样本(以下不妨称之为待测样本A)的白细胞测量模式;其中所述样本分析方法具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同。
步骤110:根据当前待测样本A的白细胞测量模式,确定当前待测样本A的反应时间。
步骤120:根据所确定的待测样本A的反应时间,控制待测样本A与包括溶血剂在内的试剂进行反应,以制备用于测定白细胞的试样;也即,待测样本A与包括溶血剂在内的试剂进行反应,反应时间为待测样本A的白细胞测量模式的反应时间,从而制备用于测定白细胞的试样。
步骤130:控制对所述测定白细胞的试样进行测定,以获取白细胞分类的检测数据。
请参照图15,一些实施例中的样本分析方法还包括以下步骤:
步骤140:根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果。
若干扰,则进行步骤142:控制发出提示。例如步骤142控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
请参照图16,一些实施例中的样本分析方法还包括以下步骤:
步骤144:当判断血影干扰白细胞分类的检测结果时,控制以不同于待测样本A当前的白细胞测量模式对待测样本A进行重测。一些实施例中,待测样本A重测时的白细胞测量模式的反应时间,大于待测样本A重测前的白细胞测量模式的反应时间。例如待测样本A当前的白细胞测量模式为白细胞测量模式1,在该模式下测量时,步骤140判断血影干扰白细胞分类的检测结果时,则步骤144控制以不同于白细胞测量模式1的其他白细胞测量模式(例如白细胞测量模式2或白细胞测量模式3)来对待测样本A进行重测。
请参照图17,一些实施例中的样本分析方法还包括以下步骤:
步骤146:响应于重测指令,生成并显示白细胞测量模式设置界面;所述白细胞测量模式设置界面显示有所述待测样本重测前的反应时间;
步骤148:响应于对所述白细胞测量模式设置界面的操作,设置所述待测样本重测时的白细胞测量模式。
一些实施例中,白测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法不同,所述样本分析方法还包括一步骤:根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。一些实施例中,不同白细胞测量模式的白细胞分类算法,其区别在于在散点图上对各不同种类的白细胞所预设的分类区域不同。
本文参照了各种示范实施例进行说明。然而,本领域的技术人员将认识到,在不脱离本文范围的情况下,可以对示范性实施例做出改变和修正。例如,各种操作步骤以及用于执行操作步骤的组件,可以根据特定的应用或考虑与系统的操作相关联的任何数量的成本函数以不同的方式实现(例如一个或多个步骤可以被删除、修改或结合到其他步骤中)。
在上述实施例中,可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。另外,如本领域技术人员所理解的,本文的原理可以反映在计算机可读存储介质上的计算机程序产品中,该可读存储介质预装有计算机可读程序代码。任何有形的、非暂时性的计算机可读存储介质皆可被使用,包括磁存储设备(硬盘、软盘等)、光学存储设备(CD至ROM、DVD、Blu Ray盘等)、闪存和/或诸如此类。这些计算机程序指令可被加载到通用计算机、专用计算机或其他可编程数据处理设备上以形成机器,使得这些在计算机上或其他可编程数据处理装置上执行的指令可以生成实现指定的功能的装置。这些计算机程序指令也可以存储在计算机可读存储器中,该计算机可读存储器可以指示计算机或其他可编程数据处理设备以特定的方式运行,这样存储在计算机可读存储器中的指令就可以形成一件制造品,包括实现指定功能的实现装置。计算机程序指令也可以加载到计算机或其他可编程数据处理设备上,从而在计算机或其他可编程设备上执行一系列操作步骤以产生一个计算机实现的进程,使得在计算机或其他可编程设备上执行的指令可以提供用于实现指定功能的步骤。
虽然在各种实施例中已经示出了本文的原理,但是许多特别适用于特定环境和操作要求的结构、布置、比例、元件、材料和部件的修改可以在不脱离本披露的原则和范围内使用。以上修改和其他改变或修正将被包含在本文的范围之内。
前述具体说明已参照各种实施例进行了描述。然而,本领域技术人员将认识到,可以在不脱离本披露的范围的情况下进行各种修正和改变。因此,对于本披露的考虑将是说明性的而非限制性的意义上的,并且所有这些修改都将被包含在其范围内。同样,有关于各种实施例的优点、其他优点和问题的解决方案已如上所述。然而,益处、优点、问题的解决方案以及任何能产生这些的要素,或使其变得更明确的解决方案都不应被解释为关键的、必需的或必要的。本文中所用的术语“包括”和其任何其他变体,皆属于非排他性包含,这样包括要素列表的过程、方法、文章或设备不仅包括这些要素,还包括未明确列出的或不属于该过程、方法、系统、文章或设备的其他要素。此外,本文中所使用的术语“耦合”和其任何其他变体都是指物理连接、电连接、磁连接、光连接、通信连接、功能连接和/或任何其他连接。
具有本领域技术的人将认识到,在不脱离本发明的基本原理的情况下,可以对上述实施例的细节进行许多改变。因此,本发明的范围应仅由权利要求确定。

Claims (21)

  1. 一种样本分析装置,其特征在于,所述样本分析装置用于对一种或多种动物进行样本的分析,并对于其中至少一种动物,所述样本分析装置具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,同一种动物的不同白细胞测量模式的反应时间不同;所述样本分析装置包括:
    样本供给部,用于供给样本;
    试剂供给部,用于供给试剂;
    反应部,用于为所述样本和所述试剂提供反应场所,以制备由所述样本和试剂反应而形成的试样;
    测定部,用于检测所述试样以得到检测数据;以及
    处理器,用于根据所述检测数据计算检测结果;其中:
    所述处理器获取待测样本当前的白细胞测量模式;
    所述处理器根据所述待测样本当前的白细胞测量模式,设置所述待测样本的反应时间;
    所述处理器控制所述样本供给部向所述反应部提供所述待测样本,和控制所述试剂供给部向所述反应部提供包括溶血剂在内的试剂;
    所述处理器根据所述待测样本被设置的反应时间,控制所述待测样本和试剂在所述反应部中反应,以制备用于测定白细胞的试样;
    所述处理器控制所述测定部测定所述试样,以获取白细胞分类的检测数据。
  2. 如权利要求1所述的样本分析装置,其特征在于,所述白测量模式还包括白细胞分类算法,同一种动物的不同白细胞测量模式的白细胞分类算法不同;
    所述处理器根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
  3. 如权利要求1所述的样本分析装置,其特征在于,所述处理器根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则所述处理器控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
  4. 如权利要求1或3所述的样本分析装置,其特征在于,当所述处理器判断血影干扰白细胞分类的检测结果时,所述处理器还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
  5. 如权利要求4所述的样本分析装置,其特征在于,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
  6. 如权利要求1或3所述的样本分析装置,其特征在于,所述处理器还能够生成白细胞测量模式设置界面,所述白细胞测量模式设置界面用于供用户操作以对动物的白细胞测量模式进行设置。
  7. 如权利要求4所述的样本分析装置,其特征在于,所述白细胞测量模式设置界面包括动物类型项和反应时间项,所述动物类型项用于供用户操作以设置动物类型,所述反应时间项用于供用户操作以设置动物类型对应的白细胞测量模式。
  8. 如权利要求6或7所述的样本分析装置,其特征在于,所述处理器还能够生成样本申请界面,所述样本申请界面用于供用户操作以将待测样本设置成相应的动物类型。
  9. 一种样本分析装置,其特征在于,所述样本分析装置具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同;所述样本分析装置包括:
    样本供给部,用于供给样本;
    试剂供给部,用于供给试剂;
    反应部,用于为所述样本和所述试剂提供反应场所,以制备由所述样本和试剂反应而形成的试样;
    测定部,用于检测所述试样以得到检测数据;以及
    处理器,用于根据所述检测数据计算检测结果;其中:
    所述处理器获取待测样本当前的白细胞测量模式;
    所述处理器根据所述待测样本当前的白细胞测量模式,设置所述待测样本的反应时间;
    所述处理器控制所述样本供给部向所述反应部提供所述待测样本,和控制所述试剂供给部向所述反应部提供包括溶血剂在内的试剂;
    所述处理器根据所述待测样本被设置的反应时间,控制所述待测样本和试剂在所述反应部中反应,以制备用于测定白细胞的试样;
    所述处理器控制所述测定部测定所述试样,以获取白细胞分类的检测数据。
  10. 如权利要求9所述的样本分析装置,其特征在于,所述白测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法不同;
        所述处理器根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
  11. 如权利要求10所述的样本分析装置,其特征在于,所述处理器根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果,若干扰,则所述处理器控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
  12. 如权利要求9或11所述的样本分析装置,其特征在于,当所述处理器判断血影干扰白细胞分类的检测结果时,所述处理器还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
  13. 如权利要求12所述的样本分析装置,其特征在于,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
  14. 如权利要求9所述的样本分析装置,其特征在于,所述处理器还能够生成样本的白细胞测量模式设置界面,所述样本的白细胞测量模式设置界面用于供用户操作以将待测样本设置成相应的白细胞测量模式。
  15. 一种样本分析方法,其特征在于,包括:
    获取当前待测样本的白细胞测量模式;其中所述样本分析方法具有多种白细胞测量模式,所述白细胞测量模式至少包括反应时间,不同白细胞测量模式的反应时间不同;
    根据当前待测样本的白细胞测量模式,确定当前待测样本的反应时间;
    根据所确定的待测样本的反应时间,控制所述待测样本与包括溶血剂在内的试剂进行反应,以制备用于测定白细胞的试样;
    控制对所述测定白细胞的试样进行测定,以获取白细胞分类的检测数据。
  16. 如权利要求15所述的样本分析方法,其特征在于,所述白测量模式还包括白细胞分类算法,不同白细胞测量模式的白细胞分类算法不同;所述样本分析方法还包括:
        根据所述待测样本当前的白细胞测量模式的白细胞分类算法,处理所述白细胞分类的检测数据,以得到白细胞分类的检测结果。
  17. 如权利要求15所述的样本分析方法,其特征在于,还包括:
    根据所述白细胞分类的检测数据判断血影是否干扰白细胞分类的检测结果;
    若干扰,则控制发出血影干扰白细胞分类结果的提示,和/或,控制发出提示用户进行白细胞测量模式切换的提示。
  18. 如权利要求15或17所述的样本分析方法,其特征在于,当判断血影干扰白细胞分类的检测结果时,还控制以不同于所述待测样本当前的白细胞测量模式对所述待测样本进行重测。
  19. 如权利要求18所述的样本分析方法,其特征在于,所述待测样本重测时的白细胞测量模式的反应时间,大于所述待测样本重测前的白细胞测量模式的反应时间。
  20. 如权利要求15或17所述的样本分析方法,其特征在于,还包括:
    响应于重测指令,生成并显示白细胞测量模式设置界面;所述白细胞测量模式设置界面显示有所述待测样本重测前的反应时间;
    响应于对所述白细胞测量模式设置界面的操作,设置所述待测样本重测时的白细胞测量模式。
  21. 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质有程序,所述程序能够被处理器执行以实现如权利要求15至20中任一项所述的方法。
PCT/CN2021/115674 2021-08-31 2021-08-31 一种样本分析装置和样本分析方法 WO2023028835A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP21945365.1A EP4174488A4 (en) 2021-08-31 2021-08-31 SAMPLE ANALYZING DEVICE AND SAMPLE ANALYZING METHOD
PCT/CN2021/115674 WO2023028835A1 (zh) 2021-08-31 2021-08-31 一种样本分析装置和样本分析方法
CN202180037064.7A CN115843332B (zh) 2021-08-31 2021-08-31 一种样本分析装置和样本分析方法
US18/091,220 US20230143409A1 (en) 2021-08-31 2022-12-29 Sample analysis apparatus and sample analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2021/115674 WO2023028835A1 (zh) 2021-08-31 2021-08-31 一种样本分析装置和样本分析方法

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US18/091,220 Continuation US20230143409A1 (en) 2021-08-31 2022-12-29 Sample analysis apparatus and sample analysis method

Publications (1)

Publication Number Publication Date
WO2023028835A1 true WO2023028835A1 (zh) 2023-03-09

Family

ID=85410704

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/115674 WO2023028835A1 (zh) 2021-08-31 2021-08-31 一种样本分析装置和样本分析方法

Country Status (4)

Country Link
US (1) US20230143409A1 (zh)
EP (1) EP4174488A4 (zh)
CN (1) CN115843332B (zh)
WO (1) WO2023028835A1 (zh)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1030481A (zh) * 1987-03-13 1989-01-18 库尔特电子公司 分离、鉴定和/或分析全血样品中的白细胞种群的方法和试剂系统
US6391263B1 (en) * 1999-02-26 2002-05-21 Sysmex Corporation Automated analyzing system and method therefor
CN101236195A (zh) * 2007-02-01 2008-08-06 希森美康株式会社 血细胞分析仪、体液分析方法及其控制系统
CN107686859A (zh) * 2017-07-18 2018-02-13 天津师范大学 一种适用于鱼类血细胞快速分类计数的方法及应用
CN111656188A (zh) * 2018-04-28 2020-09-11 深圳迈瑞生物医疗电子股份有限公司 试剂、分析血小板的方法及血液细胞分析仪
CN111912978A (zh) * 2019-05-09 2020-11-10 深圳迈瑞生物医疗电子股份有限公司 白细胞分类计数的方法、装置和血液分析仪
CN111912770A (zh) * 2019-05-09 2020-11-10 磐创精准(北京)生物科技有限公司 一种手持式白细胞计数仪及白细胞计数方法
WO2021051349A1 (zh) * 2019-09-19 2021-03-25 深圳迈瑞生物医疗电子股份有限公司 一种动物血液细胞分析方法、分析仪及存储介质

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR970007077B1 (ko) * 1987-03-13 1997-05-02 코울터 일렉트로닉스 인커퍼레이티드 광산란 기술을 이용한 다중-부분식별 분석 방법
US5882933A (en) * 1995-06-08 1999-03-16 Coulter International Corp. Method for determination of leukocytes and hemoglobin concentration in blood
GB0303536D0 (en) * 2003-02-15 2003-03-19 Roslin Inst Edinburgh Method
JP4922682B2 (ja) * 2006-06-29 2012-04-25 シスメックス株式会社 分析装置
EP2082224B1 (en) * 2006-11-14 2015-05-13 Beckman Coulter, Inc. Hematology linearity control composition system and method of use
EP1953527B2 (en) * 2007-02-01 2024-01-03 Sysmex Corporation Sample analyzer and computer program product
US20110027826A1 (en) * 2008-05-02 2011-02-03 Arkray, Inc. Leukocyte analysis method and analysis reagent for use in the method
EP2770328B1 (en) * 2009-10-01 2017-12-27 Phenomenome Discoveries Inc. Method to diagnose pancreatic cancer
JP6001425B2 (ja) * 2012-11-26 2016-10-05 シスメックス株式会社 血球分析方法、血球分析装置およびプログラム
CN205286322U (zh) * 2015-09-28 2016-06-08 周辉 生物组织光声循环肿瘤细胞检测诊断装置
CN114096846A (zh) * 2019-06-19 2022-02-25 深圳迈瑞动物医疗科技有限公司 白细胞分类和计数的方法、血液分析仪和计算机可读存储介质
CN112114000A (zh) * 2019-06-19 2020-12-22 深圳迈瑞生物医疗电子股份有限公司 一种细胞分析仪、基于阻抗法对白细胞进行分类的方法及计算机可读存储介质

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1030481A (zh) * 1987-03-13 1989-01-18 库尔特电子公司 分离、鉴定和/或分析全血样品中的白细胞种群的方法和试剂系统
US6391263B1 (en) * 1999-02-26 2002-05-21 Sysmex Corporation Automated analyzing system and method therefor
CN101236195A (zh) * 2007-02-01 2008-08-06 希森美康株式会社 血细胞分析仪、体液分析方法及其控制系统
CN107686859A (zh) * 2017-07-18 2018-02-13 天津师范大学 一种适用于鱼类血细胞快速分类计数的方法及应用
CN111656188A (zh) * 2018-04-28 2020-09-11 深圳迈瑞生物医疗电子股份有限公司 试剂、分析血小板的方法及血液细胞分析仪
CN111912978A (zh) * 2019-05-09 2020-11-10 深圳迈瑞生物医疗电子股份有限公司 白细胞分类计数的方法、装置和血液分析仪
CN111912770A (zh) * 2019-05-09 2020-11-10 磐创精准(北京)生物科技有限公司 一种手持式白细胞计数仪及白细胞计数方法
WO2021051349A1 (zh) * 2019-09-19 2021-03-25 深圳迈瑞生物医疗电子股份有限公司 一种动物血液细胞分析方法、分析仪及存储介质

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4174488A4 *

Also Published As

Publication number Publication date
CN115843332B (zh) 2024-04-05
CN115843332A (zh) 2023-03-24
EP4174488A1 (en) 2023-05-03
US20230143409A1 (en) 2023-05-11
EP4174488A4 (en) 2023-10-11

Similar Documents

Publication Publication Date Title
US7943383B2 (en) Apparatus and method for automatically determining the validity of white blood sample measurements based on the characteristics of optical scattering data
JP5950423B2 (ja) 幼若顆粒球(earlygranulatedcell)(EGC)の同定および計数
JP2015522165A (ja) 白血球数の測定方法及び測定装置
JP2015524571A (ja) Cpdデータを使用した白血病分類
US9354161B2 (en) Sample analyzing method and sample analyzer
JP2015087176A (ja) 尿検体分析装置および尿検体分析方法
US9541542B2 (en) Method of detecting filarial larvae in blood
WO2023056712A1 (zh) 一种动物用血液分析装置和血液分析方法
WO2023028835A1 (zh) 一种样本分析装置和样本分析方法
WO2023123463A1 (zh) 一种样本分析装置和样本分析方法
CN115839912B (zh) 一种动物用血液分析装置及方法
WO2023123466A1 (zh) 一种样本分析装置和样本分析方法
WO2023125940A1 (zh) 血液细胞分析仪、方法以及感染标志参数的用途
WO2023125942A1 (zh) 血液细胞分析仪、方法以及感染标志参数的用途
WO2023125988A1 (zh) 血液细胞分析仪、方法以及感染标志参数的用途
WO2023010447A1 (zh) 一种样本分析装置、动物用分析装置和样本分析方法
US20220334099A1 (en) Blood analysis apparatus, blood analysis method, and storage medium
WO2023115389A1 (zh) 一种样本分析装置和样本分析方法
CN117907197A (zh) 血液细胞分析仪和血液细胞分析方法
CN116298348A (zh) 一种物种用血液分析装置及方法
CN114113644A (zh) 一种血液细胞分析装置及方法
CN117871371A (zh) 血液分析仪、血液分析方法和计算机可读存储介质
CN115398209A (zh) 细胞分析方法、细胞分析仪及计算机可读存储介质
JP2021516335A (ja) 生体細胞を含む生体試料の分析方法及びその分析方法を実施する分析装置
EP2883036A2 (en) Leukemia classification using cpd data

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2021945365

Country of ref document: EP

Effective date: 20221221