CN101545861B - Sample analyzer and method - Google Patents
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- CN101545861B CN101545861B CN2009101291751A CN200910129175A CN101545861B CN 101545861 B CN101545861 B CN 101545861B CN 2009101291751 A CN2009101291751 A CN 2009101291751A CN 200910129175 A CN200910129175 A CN 200910129175A CN 101545861 B CN101545861 B CN 101545861B
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Abstract
The present invention provides a biological sample analyzer and computer program product which can exactly analyze the sample by selecting appropriate analyzing conditions during analyzing various samples. The sample analyzer, comprises: a sample preparing section for preparing a measurement sample from a sample and a reagent; a detector for detecting a predetermined component contained in one measurement sample prepared by the sample preparing section; and a data processing section being configured to perform operations comprising: (a) generating a plurality of analysis data for analyzing the predetermined component based on a detection result by the detector; (b) selecting one analysis data from the plurality of analysis data; (c) analyzing the predetermined component based on at least the one analysis data selected in the operation (b); and (d) outputting an analysis result obtained in the operation (c).
Description
Technical field:
The present invention relates to the sample analyzer and the sample analyzing method of samples such as a kind of analyzing blood, urine.
Background technology:
Be the particle analysis instrument of multiple particle always with regard to disclosing with the particle classifying in the samples such as blood, urine.
Such as publication number is that the United States Patent (USP) of US2007/0111197 discloses a kind of blood analyser; Store the analysis condition corresponding with animal species in advance; Analysis condition with wrong has been analyzed under the situation of sample; Can change setting into correct animal species, use the analysis condition that is fit to change the animal species after establishing, reanalyse sample.Particularly, this blood analyser is according to animal species, is used to divide the setting range of the criteria for classifying of particle among the conversion distribution of particles figure.
United States Patent (USP) NO.6391263 also discloses a kind of blood analyser, can change the detection sensitivity of contained composition in the test samples according to animal species, with the certain composition in this analytical sample.
Publication number is that the NO.2002-277381 Jap.P. also discloses a kind of particle analyzer; Its uses and to be intended to first threshold that the leucocyte in the sample and bacterium and other particles are distinguished; Bacterium in the sample and leucocyte and other particles are distinguished; And when bacterial concentration is too high in judging sample; A kind of mensuration sample forms sample stream in flow cell during, can control use and only the leucocyte in the sample and other particles that contain bacterium distinguished greater than second threshold value of first threshold.Can measure the sample that contains a large amount of bacteriums more accurately with this.
Publication number is the disclosed blood analyser of the United States Patent (USP) of US2007/0111197, and certain being fixed property of animal species ground has distributed the certain analysis condition.Yet when analyzing various sample, the analysis condition that is distributed may not be the condition of the sample that is suitable for most analyzing.Therefore, if not exist the defective that the optimum analysis condition analysis precision maybe be not enough.
Use the disclosed blood analyser of United States Patent (USP) NO.6391263, when the analysis result that draws based on the detection data that obtain with the detection sensitivity of setting is with a low credibility, needs suction once more to move sample and redeterminate.Therefore, exist the user and extract the problem that the sample that need measure once more such as measures at complex operation again.Disclosed particle analyzer record has the technology that can accurately measure the sample that contains a large amount of bacteriums though publication number is the NO.2002-277381 Jap.P., for the both unexposed also not hint of technology of contained particle in the condition of the change test samples.
Summary of the invention:
The present invention provides:
A kind of sample analyzer comprises: the sample preparation device, measure sample by sample and reagent preparation; Detecting device, that detects the preparation of above-mentioned sample preparation device a kind ofly measures certain composition contained in the sample; And be used to carry out the data processor that comprises following processing:, generate a plurality of analyses that are used to analyze above-mentioned certain composition and use data (a) according to the testing result of above-mentioned detecting device; (b) use data from above-mentioned a plurality of analyses with analysis of selection the data; (c) use data according to an above-mentioned analysis of above-mentioned (b) processing selecting at least, analyze above-mentioned certain composition; Reach the analysis result that (d) output is obtained in above-mentioned (c) handles.
Said analyser is characterized in that: said a plurality of analyses can be represented said certain composition with a plurality of common indexs with data.
Said analyser is characterized in that: said detecting device detects said certain composition with optical mode, and said a plurality of common indexs comprise scattered light information and the fluorescence information that is obtained by said certain composition.
Said analyser is characterized in that: said data processor generates said a plurality of analysis through the testing result that enlarges with mutually different multiplying power or dwindle said detecting device and uses data in said (a) handles.
Said analyser; Also comprise the detecting device control device; Control said detecting device and detect contained above-mentioned certain composition in said a kind of mensuration sample according to a plurality of testing conditions, wherein, said data processor is in said (a) handles;, generate said a plurality of analysis and use data according to a plurality of testing results that each testing conditions detects according to said detecting device.
Said analyser; It is characterized in that: said analysis is with the distribution of the said certain composition of data presentation; Said data processor according to the distribution of said a plurality of analyses with certain composition described in the data, selects a said analysis to use data in said (b) handles.
Said analyser is characterized in that: said data processor is used data from said a plurality of analyses with the said analysis of selection the data automatically in said (b) handles.
A kind of sample analyzer comprises: the sample preparation device, measure sample by sample and reagent preparation; Detecting device, that detects the preparation of above-mentioned sample preparation device a kind ofly measures certain composition contained in the sample; Detect control assembly, control above-mentioned detecting device, detect contained above-mentioned certain composition in a kind of mensuration sample according to a plurality of testing conditions; And analytical equipment, at least one result in a plurality of testing results that record according to each testing conditions according to above-mentioned detecting device analyzes said certain composition.
Said sample analyzer is characterized in that: said detection control assembly comprises the processing of following content: (a) set said a plurality of testing conditions continuously; Reach and (b) control said detecting device, each testing conditions of setting continuously in handling according to said (a) detects said a kind of above-mentioned certain composition contained in the sample of measuring.
Said sample analyzer; Also comprise alternative pack; Can from said a plurality of testing results that said detecting device records, select a testing result automatically, the above-mentioned testing result that wherein said analytical equipment is selected according to above-mentioned alternative pack is analyzed said certain composition.
Said sample analyzer is characterized in that: said detecting device possesses the amplifier of the detection signal that amplifies said certain composition, and said a plurality of testing conditions comprise the condition relevant to the magnification of detection signal with this amplifier.
Said sample analyzer is characterized in that: said detecting device comprises: the flow cell that said mensuration sample passes through; The illuminator of the said mensuration sample that passes through from this flow cell with rayed; And acceptance is from the light-receiving device of the light that is sent by the said determination sample of above-mentioned illuminator illumination.
Said sample analyzer is characterized in that: said a plurality of testing conditions comprise the correlated condition of the detection sensitivity of the light that said light-receiving device is accepted.
Said sample analyzer is characterized in that: said a plurality of testing conditions comprise the correlated condition of the exposure intensity of the light that said illuminator sends.
Said sample analyzer is characterized in that: when said detection control assembly passes through said flow cell at said a kind of mensuration sample, can a testing conditions be transformed to other testing conditions.
One of them said sample analyzer is characterized in that: said sample is a blood, and said certain composition is selected from the combination of lymphocyte, monocyte, neutrophil cell, acidophic cell, basicyte and these cells.
A kind of sample analyzing method may further comprise the steps: (a) from a kind of mensuration sample by sample and reagent preparation, detect certain composition; (b) according to the testing result that draws in above-mentioned (a) step, data are used in a plurality of analyses that the above-mentioned certain composition of generation analysis is used; (c) use data from above-mentioned a plurality of analyses with analysis of selection the data; (d) at least according to an analysis in above-mentioned (c) step, selecting with the certain composition of data analysis; Reach and (e) export the analysis result that above-mentioned (d) step draws; And
A kind of sample analyzing method may further comprise the steps: (a) preparation contains the mensuration sample of sample and reagent; (b) a kind of mensuration sample for preparing from above-mentioned (a) step according to a plurality of testing conditions detects contained certain composition; (c) in a plurality of testing results that record by each testing conditions at least one of them, analyze above-mentioned certain composition.
Description of drawings:
Fig. 1 is the structural representation oblique view of the related sample analyzer of embodiment of the present invention one;
Fig. 2 is the structured flowchart of the determinator of the related sample analyzer of embodiment of the present invention one;
Fig. 3 is for schematically explaining the structured flowchart of the sample preparation device that embodiment of the present invention one is related;
Fig. 4 is for schematically explaining the detecting device that embodiment of the present invention one is related and the structured flowchart of analogue signal processor;
Fig. 5 is the structured flowchart of the calculation display device of the related sample analyzer of embodiment of the present invention one;
Fig. 6 is the illustrated view that the data of patient information storage unit constitute;
The illustrated view of the scatter diagram when Fig. 7 measures (DIFF mensuration) for leukocyte differential count;
The illustrated view of the relation of the lymphocytic distributed areas of scatter diagram and sample value when Fig. 8 measures for DIFF;
Fig. 9 is the controller of the related determinator base plate control assembly of embodiment of the present invention one and the process flow diagram of the CPU treatment step of calculation display device;
Figure 10 is the process flow diagram of the CPU analyzing and processing step of the related calculation display device of embodiment of the present invention one;
Figure 11 is the process flow diagram of treatment step of the CPU selection sort data of the related calculation display device of embodiment of the present invention one;
Figure 12 is the illustrated view that the display of the related calculation display device of embodiment of the present invention one shows the classification results window;
The process flow diagram of the controller of the base plate control assembly of the determinator that Figure 13 embodiment of the present invention two is related and the CPU treatment step of calculation display device;
Figure 14 is the process flow diagram that the controller of the related determinator base plate control assembly of embodiment of the present invention two is measured treatment step; And
Figure 15 is the process flow diagram of the CPU analyzing and processing step of the related calculation display device of embodiment of the present invention two.
Embodiment:
Below, in this embodiment,, specify according to accompanying drawing with the blood analyser of analyzing blood a example as sample analyzer.Therefore, analyzing and processing is the classification processing of haemocyte, analyzes to generate as grouped data with data.
(embodiment one)
Fig. 1 is the structural representation oblique view of the related sample analyzer of embodiment of the present invention one.As shown in Figure 1, the related sample analyzer of this embodiment one constitutes by determinator 1 with calculation display device 2 that determinator 1 can carry out data communication.
Fig. 2 is the structured flowchart of the determinator 1 of the related sample analyzer of embodiment of the present invention one.Analogue signal processor 6, display operation part 7 that determinator 1 has device for mechanical part 4, measures the detecting device 5 of sample to be tested, the output valve of detecting device 5 is handled and the base plate control assembly 9 of controlling above-mentioned hardware each several part operation.
Base plate control assembly 9 have possess control use processor with make control uses the controller 91 of the memory device that processor operates, with the conversion of signals of analogue signal processor 6 outputs as the digital signal of 12 A/D converters 92 of digital signal and 92 outputs of storage A/D converter and the exerciser 93 of the data of selecting to export to controller 91.Controller 91 is connected with display operation part 7 with interface 95b through bus 94a, is connected with calculation display device 2 with interface 95c through bus 94b.Exerciser 93 results in to controller 91 outputs through interface 95d and bus 94a.Controller 91 will result in again (determination data) be transferred to the calculation display device 2.
Device for mechanical part 4 is provided with from the sample preparation device 41 of reagent and blood formation determination sample.Sample preparation device 41 preparation leucocytes are measured with sample, reticulocyte determination and are used sample with sample and blood platelet mensuration.
Fig. 3 is the block diagram of structure of the sample preparation device 41 of schematic illustration embodiment of the present invention one.Sample preparation device 41 possesses the heparin tube 41a of a certain amount of blood of filling, sampling valve 41b and the reaction warehouse 41c that suction moves blood.
With this, sample preparation device 41 can prepare that leucocyte is colored, simultaneously red blood cell is measured as leucocyte by the mensuration sample of haemolysis and used sample.Sample preparation device 41 can prepare the mensuration sample that granulophilocyte is colored and use sample as reticulocyte determination, also can prepare mensuration sample that blood platelet is colored and measure as blood platelet and use sample.The mensuration sample for preparing is stated the sheath flow pool 503 of detecting device 5 after sheath fluid offers.
Fig. 4 is the block diagram of structure that detecting device 5 that embodiment of the present invention one is related and analogue signal processor 6 schematically are described.As shown in Figure 4, detecting device 5 has: the illuminator 501 of emission laser, irradiation mirror assembly 502, by the sheath flow pool 503 of laser radiation, the PD (photodiode) 512 that is configured in condenser 504 on the illuminator 501 emitted laser light path extended lines, pin hole 505, PD (photodiode) 506 (configuration has or not illustrated beam splitting mirror between sheath flow pool 503 and the condenser 504), is configured in condenser 507, dichronic mirror 508, optical filter 509, pin hole 510, the APD (avalanche photodide) 511 on the direction of intersecting with illuminator 501 emitted laser direction of illuminations and is configured in dichronic mirror 508 sides.
APD511 is used to accept side direction fluorescence.When illumination is mapped to the dyed the sort of fluorescent material of haemocyte, can send according to penetrating the long light beam of light wavelength.Dye levels high fluorescent more will be strong more.Therefore, the side direction fluorescence intensity of sending through mensuration sheath flow pool 503 can obtain the blood cell staining degree for information about.Difference according to the side direction fluorescence intensity can be carried out leukocytic classification and other mensuration.PD506,512 and APD511 convert the light signal of accepting into electric signal respectively, and after amplifier 61,62 and 63 amplifies, be transported to base plate control assembly 9.
In this embodiment one, when measuring (measuring to call DIFF in the following text) at leukocyte differential count, illuminator 501 launches light with the output power of 3.4mW.With the output power emission light of 6mW, the output power with 10mW when blood platelet is measured (PLT mensuration) is launched light when reticulocyte determination (measuring to call RET in the following text).
Fig. 5 is the structured flowchart of the calculation display device 2 of the related sample analyzer of embodiment of the present invention one.As shown in Figure 5, calculation display device 2 is made up of CPU (central exerciser) 21, RAM22, memory device 23, input equipment 24, display 25, output device 26, communication interface 27 and the internal bus that is connected above-mentioned hardware 28.CPU21 is connected through internal bus 28 each one of above-mentioned hardware with calculation display device 2, controls the operation of above-mentioned hardware each several part, carries out various software functions according to institute's computer program of depositing 231 in the memory device 23 simultaneously.RAM22 is made up of volatile storages such as SRAM, SDRAM, when computer program 231, launches download module, the ephemeral data that takes place when storing computer program 231 etc.
When the sample analyzer determinator 1 at said structure is measured adult's blood with calculation display device 2; When contained leukocyte differential count in the blood is lymphocyte, monocyte, neutrophil cell, basicyte and acidophic cell (leukocyte differential count is measured (being called DIFF measures)), is depicted as scatter diagram as shown in Figure 7 and is presented on the display 25.The illustrated view of the scatter diagram when Fig. 7 measures (DIFF mensuration) for leukocyte differential count.In Fig. 7, the longitudinal axis is represented the side direction fluorescence intensity, and transverse axis is represented the lateral scattering light intensity.Describe with regard to the used leukocyte differential count method of the sample analyzer of this embodiment one below.
In the related sample analyzer of embodiment one; As shown in Figure 7; According to the statistical value in adult's blood past, the monocyte distributive province 102 of set in advance lymphocyte distributive province 101 that hypothesis has lymphocyte to distribute, suppose to have monocyte to distribute, suppose the acidophic cell distributive province 103 that has acidophic cell to distribute, the basicyte distributive province 105 of suppose that the neutrophil cell distributive province 104 of neutrophil cell distribution is arranged and supposing to have the basicyte distribution.And behind the integer column information that extracts on the same coordinate axis based on determination data; Calculate the degree of membership of haemocyte to lymphocyte distributive province 101, monocyte distributive province 102, acidophic cell distributive province 103, neutrophil cell distributive province 104 and 105 each distributive province, basicyte distributive province; According to the degree of membership of calculating, each haemocyte is divided into certain kind.Through counting classified haemocyte, can obtain the quantity of lymphocyte, monocyte etc.Above-mentioned method for classifying leukocytes has detailed record on No. 5555196 communique of United States Patent (USP).Used data all are stored in memory device 23 in advance when being used for carrying out computer program and the computer program of above-mentioned method for classifying leukocytes.
The inventor of this invention finds that contained haemocyte is lower than the degree that contained haemocyte in adult's blood is colored agent dyeing in children's blood.Therefore learn that the determination data that records from children's blood, sample value is distributed in each zone that should distribute shown in Figure 7 location on the lower side.The illustrated view of the scatter diagram medium size lymphocyte distributive province 101 of drawing when Fig. 8 measures for DIFF and the relation of sample value.
As shown in Figure 8, under the situation of determination data for adult's blood, sample value should concentrate on around the lymph distributive province 101.Yet when determination data is not adult's blood, but during children's blood, children's blood is lower than adult's blood by the degree of dyeing, so that fluorescence intensity and scattered light intensity all record is very low.Therefore, sample value concentrate on than lymphocyte distributive province 101 by under zone 111 near.
So learn; When seeing the skew downwards of the whole ratio hypothesis of the tendency that distributes zone from scatter diagram; Can judge that determination data is is the data of object with children's blood, improve the precision of classification processing, just must the zone 111 that sample value is concentrated be moved on arrow 112 directions.To introduce a kind of method below; Promptly in order also to use when being the data of object when adult's blood is carried out leukocyte differential count same blood cell differential method accurately to carry out classification processing when determination data with children's blood, and on to move with children's blood be the determination data of object.
Fig. 9 is controller 91 and the process flow diagram of the CPU21 treatment step of calculation display device 2 of the base plate control assembly 9 of the related determinator 1 of embodiment of the present invention one.The controller 91 of determinator 1 is implemented initialization (step S915) when finding out determinator 1 startup, the ruuning situation of inspection determinator 1 each several part.The CPU21 of calculation display device 2 also when finding out 2 startups of calculation display device, implements initialization (initialization of program) (step S901), and on display 25 display menu interface (step S902).At this menu interface, can accept DIFF measures, RET measures and CBC measures selection, acceptance are begun to measure indication and shutdown indication etc.Below just in this embodiment one, select DIFF to measure at above-mentioned menu interface situation describe.
The CPU21 that calculates display device 2 judges whether to receive and begins to measure indication (step S903) that when the CPU21 judgement receives that beginning mensuration indicates (step S903: " being "), CPU21 transmits the indication information (step S904) that expression begins to measure to determinator 1.The controller 91 of determinator 1 judges whether to receive the indication information (step S916) that expression begins to measure; If controller 91 is judged the indication information (step S916: " being ") of receiving that expression begins to measure; Then controller 91 lets code reader (do not have and illustrate) read the bar coded sticker (not having diagram) that is attached on the container that holds blood, obtains the identifying information (sample ID) (step S917) of blood.If controller 91 is judged the indication information (step S916: " denying ") of not receiving that expression begins to measure, then controller 91 skips steps S917 and even step S921.
Next, the controller 91 of determinator 1 judges whether to receive patient information (step S919), does not receive information (step S919: " denying ") if controller 91 is judged, then controller 91 is in the wait information receiving state.If controller 91 is judged the information (step S919: " being ") of receiving, then behind the controller 91 control sample preparation devices 41 formation determination samples, begin to measure (step S920) to measuring sample.Particularly, implement DIFF and measure, receive light intensity to be equivalent to the electric signal of side scattered light and side direction fluorescence to 9 outputs of base plate control assembly through detecting device 5 and analogue signal processor 6.The A/D converter 92 of base plate control assembly 9 is 12 position digital signals with the analog signal conversion that obtains, and is sent to controller 91 after the digital signal of 93 pairs of A/D converters of exerciser, 92 outputs is necessarily handled.Controller 91 is a determination data with 12 integer column informations receiving, is sent to calculation display device 2 (step S921).
The CPU21 of calculation display device 2 judges whether to receive determination data (step S908), and when determination data is received in the CPU21 judgement (step S908: " being "), CPU21 carries out analyzing and processing (step S909) according to the determination data of receiving.When the CPU21 judgement does not receive that beginning mensuration indicates (step S903: " denying "), after skipping, CPU21 states step S904 and even step S909, and when determination data is not received in the CPU21 judgement (step S908: " denying "), CPU21 is in the wait accepting state.
Figure 10 is the process flow diagram of the analyzing and processing implemented at the step S909 of Fig. 9 of the CPU21 of the related calculation display device 2 of embodiment of the present invention one.In Figure 10; The CPU21 of calculation display device 2 is made as initial value 1 (step S1001) with counter n; To be reduced into 8 integer column informations from the determination data (12 integer column informations) that determinator 1 obtains, generate the n grouped data, deposit memory device 23 (step S1002) in.
CPU21 judges that whether n is than a fixed number big (step S1003); When CPU21 judges n smaller or equal to a fixed number (step S1003: " denying "); CPU21 increases 1 (step S1004) to n, and the minification (step S1005) of change determination data returns processing to step S1002.Above-mentioned repeatedly then processing.If CPU21 judges n greater than a fixed number (step S1003: " being "), then CPU21 carries out classification processing (step S1006) with the 1st～the n grouped data respectively, deposits classification results in memory device 23 (step S1007) respectively.
Particularly, CPU21 dwindles 12 integer column informations that obtain from determinator 1 with certain minification when generating grouped data.Such as, both can be reduced into 8 integer column informations, also can be reduced into 10 integer column informations, also can select any minification.
In this embodiment one; Obtain determination data earlier as the integer column information; The figure place (12) that this integer row column information is had through dwindling this determination data with any minification, generates a plurality of grouped datas of various minifications greater than the figure place of using as grouped data (8).Do like this and can improve the successional ratio of round values of keeping.Different such as 12 integer column informations being carried out 1/16 times of processing when generating adult blood with grouped data; When generating children's blood 12 integer column informations are carried out 1.2/16 times of processing with grouped data; Draw the expanded range of the determination data of same integer value when therefore carrying out 1.2/16 times of processing, it is not obvious that error becomes.
More particularly; Such as with each element (X1, X2) among the Two dimensional Distribution data Dn that has N * N (N is a natural number) element (X1, X2=0,1,2 ...) number be F (X1, X2), the situation when considering that Two dimensional Distribution data Dn is reduced into the Two dimensional Distribution data Dm that has M * M (M is a natural number) element.But, establish M＜N.
Have each element (X1, X2) among the Two dimensional Distribution data Dn of N * N element in distributed data Dm corresponding to element shown in the formula (1) (U1, U2) (U1, U2=0,1,2 ..., M).But in formula (1), Int (x) is the function of the integral part of expression parameter x.This is equivalent to such as the processing that 12 determination data is reduced into 8.
(U1、U2)＝(Int(X1×M/N)、Int(X2×M/N)…(1)
When the Two dimensional Distribution data DL that the subregion among the Two dimensional Distribution data Dm is had L * L element converts the Two dimensional Distribution data of M * M element into (L＜M＜N); Each element in distributed data Dn (X1, X2) (X1, X2=0,1,2 ..., N * L/M) suc as formula shown in (2), corresponding to each element among the distributed data Dm1 (V1, V2) (V1, V2=0,1,2 ..., M).Said processing is equivalent to 8 bit data are omited the processing of upward displacement.
(V1、V2)＝(Int(X1×M
2/(N×L)、Int(X2×M
2/N×L)…(2)
Promptly; Through carrying out the identical processing of processing with formula (1); The Two dimensional Distribution data DL conversion (expansion) that L * L element in subregion will be arranged earlier is for there being the Two dimensional Distribution data of N * N element; Convert the Two dimensional Distribution data of M * M element again into, can calculate the number of each element of distributed data Dm1, convert level and smooth distributed data into.
Return Figure 10; Select a grouped data (step S1008) in a plurality of grouped datas of CPU21 from be stored in memory device 23 of calculation display device 2; Read selected grouped data from memory device 23; Haemocytes (step S1009) such as counting lymphocyte, monocyte, acidophic cell, neutrophil cell and basicyte deposit count results in memory device 23 (step S1010).CPU21 also draws scatter diagram as shown in Figure 7, and as the leukocyte differential count result display 25 show as after state count results shown in Figure 12 and scatter diagram (step S1011), then processing is returned the step S910 of Fig. 9.The user can be from the scatter diagram of confirming that visually display 25 shows.The user can implement the enforcement indication of analyzing and processing according to the distribution input of sample value again.
Below just the selection of grouped data shown in the step S1008 of Figure 10 handle, treatment step is described.Figure 11 selects the process flow diagram handled for the CPU21 of the related calculation display device 2 of embodiment of the present invention one carries out grouped data.In the related sample analyzer of this embodiment one, a fixed number shown in Figure 10 is set at 3.
The CPU21 of calculation display device 2 judges according to the age information from the patient information that determinator 1 is received whether the person under inspection is children (step S1101).At this, so-called " children " can refer to the neonate, can refer to the baby, also can refer to the child.Whether be " children "; The user of the sample analyzer of this embodiment one can set arbitrarily; Be not only the person under inspection below the dating,, can also the preschool child be set at " children " such as also can the person under inspection who see a doctor in paediatrics and gynemetrics being set at " children ".Also can set the scope of " children " by the manufacturer of sample analyzer.(step S1101 when CPU21 judges that the person under inspection is children; " be "), CPU21 selects second grouped data (step S1102) with the generation of second minification, and makes processing return step S1009.
When CPU21 judges that the person under inspection is not children (step S1101: " denying "); CPU21 is respectively with regard to each grouped data of the first and even the 3rd; To being included in zone that sample value concentrated areas such as lymphocyte, monocyte, acidophic cell, neutrophil cell and basicyte overlap, counting, deposit RAM22 (step S1103) in like the particle in the regional A among Fig. 7 (following slightly be called " overlapping the district ").It is generally acknowledged that overlapping the blood cell differential processing more after a little while of district's particle is easy to carry out, so CPU21 selects to overlap the minimum grouped data of district's particle.Be that CPU21 judges that at first whether the population (N1) that overlaps the district in first grouped data is smaller or equal to the population (N2) (step S1104) that overlaps the district in second grouped data.
When CPU21 judges in first grouped data that the population (N1) that overlaps the district overlaps the population (N2) in district in smaller or equal to second grouped data (step S1104: " being "), CPU21 judges that whether the population (N1) that overlaps the district in first grouped data is smaller or equal to the population (N3) (step S1105) that overlaps the district in the 3rd grouped data.
When CPU21 judges in first grouped data that overlapping district's population (N1) overlaps district's population (N3) in smaller or equal to the 3rd grouped data (step S1105: " being "), CPU21 selects first grouped data (step S1106), turns back to step S1009 and handles.
When CPU21 judges in first grouped data that overlapping district's population (N1) overlaps district's population (N2) in more than second grouped data (step S1104: " denying "); Or judge in first grouped data and to overlap district's population (N1) (step S1105: " deny ") when overlapping district's population (N3) in the 3rd grouped data CPU21 judges whether overlap district's population (N2) in second grouped data distinguishes population (N3) (step S1107) smaller or equal to overlapping in the 3rd grouped data.
When CPU21 judges in second grouped data that overlapping district's population (N2) overlaps district's population (N3) in smaller or equal to the 3rd grouped data (step S1107: " being "), CPU21 selects second grouped data (step S1102), returns step S1009 and handles.Overlap the population (N3) (step S1107: " denying ") in district in more than the 3rd grouped data when CPU21 judges in second grouped data population (N2) that overlaps the district, CPU21 selects the 3rd grouped data (step S1108), returns step S1009 and handles.
The method of selection sort data does not have special qualification, can overlap situation according to the concentration zones of sample values such as lymphocyte, monocyte, acidophic cell, neutrophil cell and basicyte, selection such as position occur such as CPU21.Particularly, can be with the selection that combines of following method: (1) overlap regional contained population according to concentration zones what select; (2) according to the typical value of concentration zones and in advance the distance of the distance between each Regional Representative value of hypothesis select; (3) select according to the relative position between each zone of concentrated area and supposition in advance; (4) according to the size selection etc. between each region area of concentration zones area and supposition in advance.
Return Fig. 9; The CPU21 of calculation display device 2 judges whether to receive the indication of classification again (step S910) of the enforcement of the classification processing again indication of sending as the user; When classification indication (step S910: " denying ") is not again received in the CPU21 judgement, CPU21 skips steps S911 and step S912.Receive classification indication (step S910: " being ") again if CPU21 judges, CPU21 accepts the selection (step S911) of other grouped datas, implements counting according to the selected grouped data of accepting and handles (step S912).
Figure 12 is the illustrated view that the display 25 of the related calculation display device 2 of embodiment of the present invention one shows the classification results windows.The classification results that Figure 12 shown when the n among Figure 10 is 3, drawn according to each grouped data when having generated the mutually different three kinds of grouped datas of minification.The classification results that records with the selected grouped data of CPU21 is presented at main results display area 211, and the classification results that uses other grouped datas to record is presented at secondary results display area 212,213.
With some being issued in the secondary results display area 212,213 of selections such as mouse, secondary results display area 212,213 shows the classification results that the grouped data of hoping to classify again based on the user is calculated through the user for classification indication again.Such as, when secondary results display area 212 was selected, processing was counted in the displaying contents exchange of secondary results display area 212 and main results display area 211.
Return Fig. 9, the CPU21 of calculation display device 2 judges whether to receive shutdown indication (step S913), does not receive shutdown indication (step S913: " denying ") if CPU21 judges, then CPU21 returns step S903 with processing, repeats above-mentioned processing.Receive shutdown indication (step S913: " being ") if CPU21 judges, then CPU21 sends shutdown indication information (step S914) to determinator 1.
The controller 91 of determinator 1 judges whether to receive shutdown indication information (step S922), does not receive shutdown indication information (step S922: " denying ") if controller 91 is judged, then controller 91 returns processing to step S916, repeats above-mentioned processing.Receive shutdown indication information (step S922: " being ") if controller 91 is judged, then controller 91 is implemented shutdown (step S923), end process.
As stated; According to this embodiment one; Generate mutually different several grouped datas of minification in advance; Select only grouped data according to sample, even, also can enough optimal grouped datas count processing in that animal species is different, the age is different, sex does not exist under many condition of different on an equal basis.Therefore can reach the purpose that improves the sample analysis precision.
(embodiment two)
Specify with regard to embodiment of the present invention two related sample analyzers according to accompanying drawing below.The structure of the sample analyzer that embodiment of the present invention two is related is identical with embodiment one, so give prosign, detailed.What embodiment of the present invention two and embodiment one were different is: be not to generate the mutually different a plurality of grouped datas of minification in advance, but generate identical but a plurality of grouped datas that testing conditions when detecting characteristic information has nothing in common with each other of minification.
Figure 13 is controller 91 and the process flow diagram of the CPU21 processing sequence of calculation display device 2 of the base plate control assembly 9 of the related determinator 1 of embodiment of the present invention two.The controller 91 of determinator 1 is implemented initialization (step S1315) when finding out determinator 1 startup, the ruuning situation of inspection determinator 1 each several part.The CPU21 of calculation display device 2 also when finding out calculation display device 2 and start, implements initialization (initialization of program) (step S1301), and on display 25 display menu window (step S1302).At this menu window, can accept the selection that DIFF measures, RET measures and CBC measures, accept to begin to measure indication and shutdown indication etc.Below just in this embodiment two, choose DIFF to measure at above-mentioned menu window situation describe.
The CPU21 that calculates display device 2 judges whether to receive that beginning mensuration indicates (step S1303), when the CPU21 judgement does not receive that beginning mensuration indicates (step S1303: " denying "), and CPU21 skips steps S1304 and even step S1309.When the CPU21 judgement receives that beginning mensuration indicates (step S1303: " being "), CPU21 transmits the indication information (step S1304) that expression begins to measure to determinator 1.The controller 91 of determinator 1 judges whether to receive the indication information (step S1316) that expression begins to measure; If controller 91 is judged the indication information (step S1316: " being ") of receiving that expression begins to measure; Then controller 91 lets code reader (do not have and illustrate) read the bar coded sticker (not having diagram) that is attached on the container that holds blood, obtains blood identifying information (sample ID) (step S1317).If controller 91 is judged the indication information (step S1316: " denying ") of not receiving that expression begins to measure, then controller 91 skips steps S1317 and even step S1321.
The controller 91 of determinator 1 judges whether to receive patient information (step S1319), does not receive information (step S1319: " denying ") if controller 91 is judged, then controller 91 is in the wait information receiving state.If controller 91 is judged the information (step S1319: " being ") of receiving, then behind the controller 91 control sample preparation devices 41 formation determination samples, begin to measure (step S1320) to measuring sample.Particularly, implement DIFF and measure, receive light intensity to be equivalent to the electric signal of side scattered light and side direction fluorescence to 9 outputs of base plate control assembly through detecting device 5 and analogue signal processor 6.The A/D converter 92 of base plate control assembly 9 is 12 position digital signals with the analog signal conversion that obtains, and is sent to controller 91 after the digital signal of 93 pairs of A/D converters of exerciser, 92 outputs is necessarily handled.Controller 91 is a determination data with 12 integer column informations receiving, is sent to calculation display device 2 (step S1321).
Figure 14 is the process flow diagram that mensuration that the controller 91 of the base plate control assembly 9 of the related determinator 1 of embodiment of the present invention two is implemented at the step S1320 of Figure 13 is handled.In Figure 14, the controller 91 formation determination samples (step S1401) of determinator 1 are set at initial value 1 (step S1402) with counter n, are set at n sensitivity (step S1403) with detecting the testing conditions of sensitivity as the detecting device 5 of determinator 1.Detect sensitivity determinating several.The what is called of setting detects sensitivity, means as the light-receiving device PD506 that accepts the light that illuminator 501 shown in Figure 4 sends, 512 and the detection sensitivity of APD511.
Spend 10 seconds (step S1406: " being ") if controller 91 is judged, then controller 91 stops to detect the detected characteristic information of sensitivity (step S1407) to built-in memory stores with n, and judges whether counter n surpasses a fixed number (step S1408).If controller 91 is judged n and is not surpassed a fixed number (step S1408: " denying ") that then 91 couples of counter n of controller increase 1 (step S1409), return step S1403 and repeat above-mentioned processing.If controller 91 is judged n and surpasses a fixed number (step S1408: " being ") that then controller 91 turns back to processing the step S1321 of Figure 13.The characteristic information that has controller 91 built-in storeies all is a determination data.In addition, be set in advance at controller 91 judgement n above a fixed number back stop supplies to the time of sheath flow pool 503 supply mensuration samples., supply a kind of mensuration sample to sheath flow pool during, can set several continuously and detect sensitivity with this.
Return Figure 13, the CPU21 of calculation display device 2 judges whether to receive determination data (step S1308), and when determination data is received in the CPU21 judgement (step S1308: " being "), CPU21 carries out analyzing and processing (step S1309) according to the determination data of receiving.When determination data is not received in the CPU21 judgement (step S1308: " denying "), CPU21 is in the wait information receiving state.
Figure 15 is the process flow diagram of the analyzing and processing implemented at the step S1309 of Figure 13 of the CPU21 of the related calculation display device 2 of embodiment of the present invention two.In Figure 15; The CPU21 of calculation display device 2 is set at initial value 1 (step S1501) with counter n earlier; To be reduced into 8 integer column informations from the determination data (12 integer column informations) that determinator 1 obtains; Generation deposits memory device 23 (step S1502) in based on the n grouped data of the characteristic information that detects with n detection sensitivity.
Whether CPU21 judges n greater than a fixed number (step S1503), if CPU21 judges n smaller or equal to a fixed number (step S1503: " denying "), then CPU21 increases 1 (step S1504) to n, returns step S1502 with same minification and repeats above-mentioned processing.If CPU21 judges n greater than a fixed number (step S1503: " being "), then CPU21 carries out classification processing (step S1505) with the 1st～the n grouped data respectively, deposits classification results in memory device 23 (step S1506) respectively.
Particularly, when CPU21 will generate grouped data, dwindle 12 integer column informations that obtain from determinator 1 with certain minification.Such as, both can be reduced into 8 integer column informations, also can be reduced into 10 integer column informations, also can select any minification.
Select a grouped data (step S1507) in a plurality of grouped datas of CPU21 from be stored in memory device 23; Read selected grouped data from memory device 23; Haemocytes (step S1508) such as counting lymphocyte, monocyte, acidophic cell, neutrophil cell and basicyte deposit count results in memory device 23 (step S1509).CPU21 also draws scatter diagram as shown in Figure 7, and on display 25, shows count results and scatter diagram (step S1510) as the leukocyte differential count result, then processing is returned the step S1310 of Figure 13.The user can be from the scatter diagram of confirming that visually display 25 shows.The user can also implement the enforcement indication of analyzing and processing according to the distribution input of sample value again.
The selection treatment step of selection sort data is identical with Figure 11 of embodiment one in step S1507, and the Therefore, omited specifies.The method of selection sort data does not have special qualification, can overlap situation according to the concentration zones of sample values such as lymphocyte, monocyte, acidophic cell, neutrophil cell and basicyte, selection such as position occur such as CPU21.Particularly, can be with the selection that combines of following method: (1) overlap regional contained population according to concentration zones what select; (2) according to the typical value of concentration zones and in advance the distance of the distance between each Regional Representative value of hypothesis select; (3) select according to the relative position between each zone of concentrated area and supposition in advance; (4) according to the size selection etc. between each region area of concentration zones area and supposition in advance.
Return Figure 13; The CPU21 of calculation display device 2 judges whether to receive that the classification processing again that the user sends implements the i.e. classification indication (step S1310) again of indication; If judging, CPU21 do not receive classification indication (step S1310: " denying "), then CPU21 skips steps S1311 and step S1312 again.Receive classification indication (step S1310: " being ") again if CPU21 judges, CPU21 accepts the selection (step S1311) of other grouped datas, implements counting according to the selected grouped data of accepting and handles (step S1312).
The classification results display window that the display 25 of the calculation display device 2 that embodiment of the present invention two is related is shown is identical with Figure 12, and the Therefore, omited specifies.
The CPU21 of calculation display device 2 judges whether to receive shutdown indication (step S1313), does not receive shutdown indication (step S1313: " denying ") if CPU21 judges, then CPU21 returns step S1303 with processing, repeats above-mentioned processing.Receive shutdown indication (step S1313: " being ") if CPU21 judges, then CPU21 sends shutdown indication information (step S1314) to determinator 1.
The controller 91 of determinator 1 judges whether to receive shutdown indication information (step S1322), does not receive shutdown indication information (step S1322: " denying ") if controller 91 is judged, then controller 91 returns processing to step S1316, repeats above-mentioned processing.Receive shutdown indication information (step S1322: " being ") if controller 91 is judged, then controller 91 is implemented shutdown (step S1323), end process.
As stated; According to this embodiment two; Generate in advance mutually different several grouped datas of testing conditions, select only grouped data, even in that animal species is different, the age is different, sex does not exist under many condition of different on an equal basis according to sample; Also can enough only grouped datas count, thereby reach the purpose that improves the sample analysis precision.
According to this embodiment two, can detect a kind of composition contained in the sample of measuring according to a plurality of testing conditions.Therefore, when needs change detection condition is analyzed again, also needn't measure once more same sample, the user need not carry out loaded down with trivial details operation and just can analyze according to the result that optimal testing conditions detects, and can reach the purpose that improves analysis precision.
According to this embodiment two, when a kind of mensuration sample when the flow cell, the continuous transformation testing conditions detects a kind of composition contained in the sample of measuring according to the testing conditions of continuous transformation.Therefore, needn't supply a kind of mensuration sample to flow cell repeatedly, can accomplish mensuration at short notice.And can avoid supplying a kind of mensuration sample repeatedly and causing the mensuration sample mass to descend to flow cell, analysis precision reduces.
This embodiment one and two is from several grouped datas, to select a grouped data automatically, and user that needn't analyser selects optimal grouped data in person from several grouped datas.Therefore, can alleviate user's operation burden.
Just set in the above-mentioned embodiment two the light-receiving device PD506 that accepts the light that illuminator 501 sends, 512 and several of APD511 detect sensitivity and be illustrated as the situation of a plurality of testing conditions, but testing conditions is not limited to detect sensitivity.Such as, also can set some amplifications by the amplifier 61,62 of the electric signal of suffered light signal opto-electronic conversion one-tenth and 63 magnification.Also can set the exposure intensity of the light that several illuminators 501 send.
In the above-mentioned embodiment two, by the conversion of the detection sensitivity of the controller 91 control detection devices 5 of determinator 1, but also can be by the conversion of the detection sensitivity of the CPU21 control detection device 5 of calculation display device 2.When the magnification through conversion amplifier 61,62 and 63 changes the testing conditions of detecting device 5; Also can control the conversion of above-mentioned magnification by the CPU21 of calculation display device 2; Equally; When the exposure intensity of the light that sends through conversion illuminator 501 changes the testing conditions of detecting device 5, also can control the conversion of above-mentioned exposure intensity by the CPU21 of calculation display device 2.In addition, the control of sample preparation device 41 formation determination samples, the control etc. that begins and stop to supply the control of appearance and begin or stop to store the characteristic information that detecting device 5 detects to built-in storer also can be undertaken by the CPU21 of calculation display device 2.
In above-mentioned embodiment one and two; To use blood to be illustrated as example as the cellanalyzer of contained haemocyte in the sample analysis blood; The invention is not restricted to this, apply to analyze the sample analyzer that contains the sample of biomone such as cell in the urine and also be expected to obtain effect same.In above-mentioned embodiment one and two, analysis result shows that on the display 25 of calculation display device 2 this is not had special the qualification, also may be displayed on the display that possesses other computing machines that connect through network.
In above-mentioned embodiment one and two; Obtain 12 integer column informations as determination data from determinator 1; Again these 12 integer column informations are reduced into 8 integer column informations, generate grouped data with this, but the invention is not restricted to this; Such as obtaining 16 integer column informations, also can generate 10 grouped data from determinator 1.Said determination data and grouped data also can not be the integer column informations.In addition; In above-mentioned embodiment one and two, several grouped datas are that lateral scattering light intensity and side direction fluorescence intensity are represented with several common indexs, also can be only with the lateral scattering light intensity or only use side direction fluorescence intensity etc.; With a common index expression; Can also use mutually different several index expression, represent with lateral scattering light intensity and side direction fluorescence intensity like a grouped data, other grouped datas are represented with forward scattering light intensity and side direction fluorescence intensity etc.
The present invention is not limited to the foregoing description certainly, as long as in the scope of content of the present invention, can carry out various deformation and displacement etc.
Claims (15)
1. cellanalyzer comprises:
The sample preparation device is used for the coloring agent formation determination sample by the sample that contains a plurality of haemocytes that pick up from the person under inspection, certain reagent and dyeing blood cell;
Detecting device is used for a kind of mensuration sample that the said sample preparation device of rayed prepares, and detects from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring each haemocyte in the sample; And
Be used to carry out the data processor that comprises following processing:
(a) according to the testing result of said detecting device; Generation is with the said a kind of side direction fluorescence intensity of each haemocyte in the sample and a plurality of grouped datas that the lateral scattering light intensity is parameter measured, and wherein said a plurality of grouped datas comprise: side direction fluorescence intensity and grouped data generating and side direction fluorescence intensity and other grouped datas of generating of dwindling each haemocyte of said detector acquisition with other multiplying powers at least of dwindling each haemocyte of said detector acquisition with a kind of multiplying power at least;
(b) from said a plurality of grouped datas, select a grouped data;
(c) at least according to a said grouped data of said (b) processing selecting, implement said a kind of classification processing of measuring haemocyte in the sample; And
(d) export the classification results that in said (c) handles, is obtained.
2. according to the said cellanalyzer of claim 1, it is characterized in that:
The side direction fluorescence intensity and the lateral scattering light intensity of said data processor each haemocyte through dwindling said detector acquisition with mutually different multiplying power in said (a) handles generate said a plurality of grouped data.
3. according to the said cellanalyzer of claim 1, it is characterized in that:
Said a plurality of grouped data shows said a kind of distribution of measuring haemocyte in the sample respectively,
Said data processor can be selected a said grouped data according to the distribution of haemocyte in said a plurality of grouped datas.
4. according to the said cellanalyzer of claim 1, it is characterized in that:
Whether said data processor is children according to said person under inspection in said (b) handles, and from said a plurality of grouped datas, selects a said grouped data.
5. cellanalyzer comprises:
The sample preparation device is by the coloring agent formation determination sample of the sample that contains a plurality of haemocytes that pick up from the person under inspection, certain reagent and dyeing blood cell;
Detecting device is used for a kind of mensuration sample that the said sample preparation device of rayed prepares, and detects from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring each haemocyte in the sample;
Detect control assembly; Control said detecting device; Just change the testing conditions of said detecting device at regular intervals, a plurality of testing conditions are used to detect a kind of mensuration sample, detect from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring contained each haemocyte in the sample; And
Data processor according to a plurality of testing results that said detecting device records, is correspondingly analyzed said a kind of haemocyte of measuring in the sample with said a plurality of testing conditions, handles below wherein said data processor is carried out:
(a) according to said a plurality of testing results of said detecting device; Generate respectively and the corresponding a plurality of grouped datas of said a plurality of testing results, wherein each classification contains side direction fluorescence intensity and lateral scattering light intensity as each haemocyte parameter, that obtain based on each testing result with data;
(b) from said a plurality of grouped datas, select a grouped data;
(c) according to a said grouped data of selecting in said (b) processing said a kind of haemocyte of measuring in the sample is carried out classification processing at least; And
(d) classification results that obtains during output said (c) is handled.
6. according to the said cellanalyzer of claim 5, it is characterized in that:
Said detection control assembly comprises the processing of following content:
(a) set said a plurality of testing conditions continuously; And
(b) control said detecting device, the testing conditions of setting continuously in handling according to said (a) detects from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring each contained in sample haemocyte.
7. according to the said cellanalyzer of claim 5, it is characterized in that:
Whether said data processor is children according to said person under inspection in said (b) handles, and from said a plurality of grouped datas, selects a grouped data.
8. according to the said cellanalyzer of claim 5, it is characterized in that:
Said detecting device possesses amplification from said a kind of amplifier of measuring the detection signal of each haemocyte in the sample,
Said a plurality of testing conditions comprises the correlated condition of the magnification of this amplifier amplification detection signal.
9. according to the said cellanalyzer of claim 5, it is characterized in that:
Said detecting device comprises:
The flow cell that said mensuration sample passes through;
The illuminator of the said mensuration sample that passes through from this flow cell with rayed; And
The light-receiving device of the light beam that collection is sent by the said mensuration sample of the luminous irradiation of said illuminator.
10. according to the said cellanalyzer of claim 9, it is characterized in that:
Said a plurality of testing conditions comprises the correlated condition of the detection sensitivity of the suffered light of said light-receiving device.
11., it is characterized in that according to the said cellanalyzer of claim 9:
Said a plurality of testing conditions comprises the correlated condition of the exposure intensity of the light that said illuminator sends.
12., it is characterized in that according to the said cellanalyzer of claim 9:
Said a plurality of testing conditions comprises the correlated condition of exposure intensity of the light that correlated condition or said illuminator sent of the detection sensitivity of the suffered light of said light-receiving device;
When said detection control assembly passes through said flow cell at said a kind of mensuration sample; Can the detection sensitivity of the suffered light of said light-receiving device be detected sensitivity from one and be transformed to other detection sensitivity, or the exposure intensity of the light that said illuminator sent is changed to other exposure intensities from an exposure intensity.
13., it is characterized in that according to any said cellanalyzer in the claim 1～12:
Said sample is a blood,
Said haemocyte is selected from the combination of lymphocyte, monocyte, neutrophil cell, acidophic cell, basicyte and these cells.
14. a blood cell analysis method may further comprise the steps:
(a) rayed is detected from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring haemocyte contained in the sample by a kind of mensuration sample of the coloring agent preparation of the sample that contains a plurality of haemocytes that pick up from the person under inspection, certain reagent and dyeing blood cell;
(b) according to the testing result that draws in said (a) step; Generation is with the said a kind of side direction fluorescence intensity of contained each haemocyte in the sample and a plurality of grouped datas that the lateral scattering light intensity is parameter measured, and wherein said a plurality of grouped datas comprise with a kind of multiplying power dwindles the side direction fluorescence intensity of each haemocyte that said (a) step obtains and grouped data generating and dwindle the side direction fluorescence intensity of each haemocyte that said (a) step obtains at least and other grouped datas of generating with other multiplying powers at least;
(c) from said a plurality of grouped datas, select a grouped data;
(d) according to a grouped data of in said (c) step, selecting said a kind of haemocyte of measuring in the sample is carried out classification processing at least; And
(e) export the classification results that said (d) step draws.
15. one kind has been used the blood cell analysis method of detection from the detecting device of side direction fluorescence, forward scattering light and the side scattered light of haemocyte, may further comprise the steps:
(a) by the mensuration sample of the coloring agent preparation of the sample that contains a plurality of haemocytes that pick up from the person under inspection, certain reagent and dyeing blood cell;
(b) just change the testing conditions of said detecting device at regular intervals, a kind ofly measure sample and detect from said a kind of side direction fluorescence, forward scattering light and side scattered light of measuring each haemocyte of sample with what a plurality of testing conditions were used for the preparation of said (a) step;
(c) with said a plurality of testing conditions correspondingly, a plurality of testing results of obtaining according to said (b) step; Generate respectively and the corresponding a plurality of grouped datas of said a plurality of testing results, wherein each grouped data contains side direction fluorescence intensity and the lateral scattering light intensity as each haemocyte parameter, that obtain based on each testing result;
(d) from said a plurality of grouped datas, select a grouped data;
(e) at least according to a said grouped data of selecting in said (d) processing, said a kind of haemocyte of measuring in the sample is carried out classification processing; And
(f) classification results that obtains during output said (e) is handled.
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| JP2008088826A JP5258350B2 (en) | 2008-03-28 | 2008-03-28 | Sample analyzer and sample analysis method |
| JP2008-088825 | 2008-03-28 | ||
| JP2008088825A JP5502285B2 (en) | 2008-03-28 | 2008-03-28 | Sample analyzer, sample analysis method, and computer program |
| JP2008-088826 | 2008-03-28 |
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| JP6092132B2 (en) * | 2014-01-29 | 2017-03-08 | シスメックス株式会社 | Blood cell analyzer |
| WO2020133257A1 (en) * | 2018-12-28 | 2020-07-02 | 深圳迈瑞生物医疗电子股份有限公司 | Method for processing detection value of object under measurement, hemocyte analyzer, and storage medium |
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| JPH04188044A (en) * | 1990-11-21 | 1992-07-06 | Canon Inc | Specimen measuring apparatus |
| JP3282458B2 (en) * | 1995-09-05 | 2002-05-13 | 株式会社日立製作所 | Flow type particle image analysis method and apparatus |
| JP3127111B2 (en) * | 1996-02-22 | 2001-01-22 | 株式会社日立製作所 | Flow type particle image analysis method and apparatus |
| JP3793685B2 (en) * | 1999-02-26 | 2006-07-05 | シスメックス株式会社 | Automatic analysis system and method |
| JP2002071548A (en) * | 2000-08-29 | 2002-03-08 | Hitachi Ltd | Flow type method and apparatus for analyzing particle image |
| JP4659242B2 (en) * | 2001-03-21 | 2011-03-30 | シスメックス株式会社 | Particle analyzer |
| JP4327392B2 (en) * | 2001-12-05 | 2009-09-09 | シスメックス株式会社 | Biological sample analyzer |
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