JP6657882B2 - Inspection system, inspection method, and inspection program - Google Patents

Description

  The present disclosure relates to a test system, a test method, and a test program, and in particular, a test system and a test method for in vitro diagnosis of a urine sample, and a test program executed by a computer used for such diagnosis. About.

  Conventionally, automation of in vitro diagnosis of a urine sample has been proposed. For example, Japanese Patent Laying-Open No. 10-185803 (Patent Literature 1) discloses an apparatus that automatically executes material component analysis, which is one of examination methods for in vitro diagnosis of a urine sample. Japanese Patent Application Laid-Open No. 2015-28492 (Patent Document 2) discloses a technique in which one type of inspection is executed by a plurality of apparatuses. Japanese Patent Application Laid-Open No. 2015-125050 (Patent Document 3) discloses an inspection system that executes two types of inspection methods (a urine qualitative analysis and a material analysis).

JP-A-10-185803 JP-A-2005-028492 JP 2015-125050 A

  As described in Patent Literature 3, in a general diagnosis of a urine sample, two types (a urine qualitative analysis and a component analysis) are performed on the sample. Of these, the particulate matter analysis requires a longer time than the urine qualitative analysis because it involves the preparation of a sample for imaging and the imaging thereof. Therefore, when a large number of specimens are diagnosed, it becomes necessary to stop the qualitative urine analysis due to the rate control of the particle analysis, thereby reducing the processing capacity of the entire inspection system.

  The test system described in Patent Document 3 has a region for storing a sample between the device for urine qualitative analysis and the device for component analysis, but even if such a region is provided, the test is performed. The capacity of the system for material analysis is not improved. Therefore, the problem of a decrease in the processing capacity of the entire inspection system still remains.

  The present disclosure has been conceived in view of such circumstances, and an object thereof is to improve the throughput of a test system that performs a qualitative analysis and a component analysis on a urine sample.

  According to one aspect of the present disclosure, a test system for in vitro diagnosis of a urine sample is provided. The test system includes a qualitative analyzer for performing qualitative analysis of a sample, and a material analyzer for performing material analysis of the sample. The number of material analyzers is greater than the number of qualitative analyzers, and each of two or more samples analyzed by the qualitative analyzer is separated from the number of material analyzers greater than the number of qualitative analyzers. The apparatus further includes a transporting device for transporting to a single substance analysis device selected in a predetermined order.

  Preferably, a larger number of tangible analyzers than the number of qualitative analyzers are arranged adjacent to each other facing the sample transport path.

  Preferably, a larger number of tangible analyzers than the number of qualitative analyzers are arranged to face each other across the sample transport path.

  According to another aspect of the present disclosure, a test system for in vitro diagnosis of a urine sample is provided. The test system performs a qualitative analyzer for performing a qualitative analysis of the sample, and performs a component analysis of the sample. And a transport device for transporting the sample analyzed by the qualitative analyzer to the particulate analyzer. The material analyzer includes a larger number of sample preparation units than the number of qualitative analyzers, a transport unit for introducing a sample into each sample preparation unit, and an imaging unit. Each sample preparation unit prepares a sample for material analysis from a specimen. The imaging unit captures an image of the sample manufactured by the sample manufacturing unit. The transport unit converts each of the two or more samples analyzed by the qualitative analyzer to one sample preparation unit selected in a predetermined order from a number of sample preparation units larger than the number of the qualitative analyzers. Transport.

  According to still another aspect of the present disclosure, a test system for in vitro diagnosis of a urine sample is provided. The test system includes a qualitative analyzer for performing a qualitative analysis of the sample, a material analyzer for performing a material analysis of the sample, and a material analyzer for analyzing the sample analyzed by the qualitative analyzer. And a transfer device for transferring to The material analyzer is a sample preparation unit for preparing a sample for material analysis from a sample, a larger number of imaging units than the number of qualitative analyzers, and a plurality of samples prepared by the sample preparation unit. And a transport unit that transports to the selected one imaging unit in a predetermined order from a number of imaging units larger than the number of qualitative analyzers.

  Preferably, the transport device transports two or more sample containers at the same time by transporting a rack that holds two or more sample containers accommodating each of the individual samples, and, in rack units, to the material analysis device. Transport the sample.

  According to still another aspect of the present disclosure, there is provided a test method executed in a test system for in vitro diagnosis of a urine sample. The inspection method includes performing a qualitative analysis of the sample by the qualitative analyzer, and analyzing each of the two or more samples after the analysis by the qualitative analyzer in a number of material analyzers greater than the number of the qualitative analyzers. To a selected material analyzer in a predetermined order, and each material analyzer conducts material analysis of the sample after performing the qualitative analysis by the qualitative analyzer. Performing.

  According to still another aspect of the present disclosure, there is provided a test program executed by a computer for controlling a test system for in vitro diagnosis of a urine sample. By executing the test program, the computer causes the qualitative analyzer to perform qualitative analysis of the sample, and causes the transport device to transfer each of the two or more samples analyzed by the qualitative analyzer to the number of qualitative analyzers. After the qualitative analysis is performed by the qualitative analyzer, each of the material analyzers is transported to a single material analyzer selected in a predetermined order from the large number of material analyzers. Of the sample is performed.

  According to still another aspect of the present disclosure, there is provided a test method executed in a test system for in vitro diagnosis of a urine sample. The inspection method is that the qualitative analyzer performs qualitative analysis of the sample, and that the transport device transports the sample after the analysis by the qualitative analyzer to the material component analyzer, and that the material component analyzer is Performing a component analysis of the sample. The material analyzer includes a larger number of sample preparation units than the number of qualitative analyzers, a transport unit for introducing a sample into each sample preparation unit, and an imaging unit. In order for the material analyzer to perform material analysis of a sample, each sample preparation unit prepares a sample for material analysis from a sample, and an imaging unit is prepared by the sample preparation unit. The image of the sample is taken, and the transport unit selects each of the two or more samples after analysis by the qualitative analyzer in a predetermined order from a number of sample preparation units larger than the number of the qualitative analyzers. To one of the sample preparation units.

  According to still another aspect of the present disclosure, there is provided a test program executed by a computer for controlling a test system for in vitro diagnosis of a urine sample. By executing the test program, the computer causes the qualitative analyzer to perform qualitative analysis of the sample, causes the transport device to transport the sample analyzed by the qualitative analyzer to the material analyzer, The analyzer causes the material analysis of the sample to be performed, and the material analyzer has a number of sample preparation units larger than the number of the qualitative analyzers, and a transport unit for introducing the sample into each sample preparation unit, A photographing unit. In order for the material analyzer to perform material analysis of a sample, each sample preparation unit prepares a sample for material analysis from a sample, and an imaging unit is prepared by the sample preparation unit. The image of the sample is taken, and the transport unit selects each of the two or more samples after analysis by the qualitative analyzer in a predetermined order from a number of sample preparation units larger than the number of the qualitative analyzers. To one of the sample preparation units.

  According to still another aspect of the present disclosure, a test method for in vitro diagnosis of a urine sample is provided. The inspection method is that the qualitative analyzer performs qualitative analysis of the sample, and that the transport device transports the sample after the analysis by the qualitative analyzer to the material component analyzer, and that the material component analyzer is Performing a component analysis of the sample. The material analyzer includes a sample preparation unit for preparing a sample for material analysis from a sample, a larger number of imaging units than the number of qualitative analyzers, and a transport unit. Executing the component analysis of the sample includes selecting each of the plurality of samples prepared by the sample preparation unit from a larger number of imaging units than the number of qualitative analyzers in a predetermined order. To the imaging unit.

  According to still another aspect of the present disclosure, there is provided a test program executed by a computer for controlling a test system for in vitro diagnosis of a urine sample. By executing the test program, the computer causes the qualitative analyzer to perform qualitative analysis of the sample, causes the transport device to transport the sample analyzed by the qualitative analyzer to the material analyzer, The analysis device is configured to execute the material analysis of the sample. The material analyzer includes a sample preparation unit for preparing a sample for material analysis from a sample, a larger number of imaging units than the number of qualitative analyzers, and a transport unit. Executing the component analysis of the sample includes selecting each of the plurality of samples prepared by the sample preparation unit from a larger number of imaging units than the number of qualitative analyzers in a predetermined order. To the imaging unit.

  According to one aspect of the present disclosure, the test system includes a plurality of specimens after each qualitative analysis performed by the qualitative analyzer, wherein each of the plurality of specimens is larger than the number of the qualitative analyzers. Are transported to one material analyzer (or a sample preparation unit or an imaging unit) selected in a predetermined order from the units. Thus, the load in the material analysis is distributed by a greater number of material analyzers (or sample preparation units or imaging units) than the number of qualitative analyzers. Therefore, the processing capacity of the inspection system is improved.

It is a figure showing typically an example of the whole composition of an inspection system. FIG. 3 is a diagram for explaining an example of a configuration of a rack (sample rack) for transporting a sample in the test system. It is a figure for explaining the process of material component analysis in an inspection system. It is a figure which shows an example of a functional structure of a material analysis device. FIG. 2 is a diagram illustrating an example of a hardware configuration of an inspection system. FIG. 5 is a diagram for explaining a rack conveyance mode according to the first embodiment. FIG. 5 is a diagram for explaining a rack conveyance mode according to the first embodiment. FIG. 5 is a diagram for explaining a rack conveyance mode according to the first embodiment. FIG. 5 is a diagram for explaining a rack conveyance mode according to the first embodiment. 9 is a flowchart of a control process of the transport device, which is executed in the information processing terminal. FIG. 4 is a diagram for describing a transport mode of a plurality of continuous racks according to the first embodiment. It is a figure showing roughly an example of composition of an inspection system of a 2nd embodiment. It is a figure for explaining the conveyance mode of a plurality of continuous racks in the inspection system of a 2nd embodiment. It is a figure for explaining the conveyance mode of a plurality of continuous racks in the inspection system of a 2nd embodiment. It is a figure for explaining the conveyance mode of a plurality of continuous racks in the inspection system of a 2nd embodiment. It is a figure for explaining the conveyance mode of a plurality of continuous racks in the inspection system of a 2nd embodiment. It is a figure which shows typically an example of the functional structure of the component analysis device of 3rd Embodiment. FIG. 13 is a diagram illustrating an example of a hardware configuration of a material component analyzing apparatus according to a third embodiment. 13 is a flowchart of a process for controlling transport of a rack and a sample according to the third embodiment. It is a figure which shows typically an example of the functional structure of the component analysis device of 4th Embodiment. FIG. 14 is a diagram illustrating an example of a hardware configuration of a material component analyzing device according to a fourth embodiment. It is a flow chart of processing for controlling conveyance of a rack and a sample in a 4th embodiment. It is a figure which shows typically an example of the functional structure of the component analysis device of 5th Embodiment. It is a figure showing an example of the hardware constitutions of the material component analyzing device of a 5th embodiment.

  Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following description, the same components are denoted by the same reference numerals. Their names and functions are the same. Therefore, detailed description thereof will not be repeated.

[First Embodiment]
<1. Overall Configuration>
FIG. 1 is a diagram schematically illustrating an example of the entire configuration of the inspection system. The test system 1 shown in FIG. 1 is a system for testing a urine sample (hereinafter, also simply referred to as “sample”).

  As shown in FIG. 1, the inspection system 1 includes one qualitative analyzer 10, four material components analyzers 21, 22, 23, 24, an information processing terminal 30, and a qualitative analyzer 10. And a transport device 40 for transporting the sample to the material analyzers 21 to 24.

  In the inspection system 1, a sample is transported in rack units. FIG. 2 is a diagram for explaining an example of a configuration of a rack (sample rack) for transporting a sample in the test system 1.

  As shown in FIG. 2, in the test system 1, the specimen is stored in a container 60. The rack 50 has a rectangular parallelepiped shape. A plurality of holes 53 are formed in a row on the upper surface of the rack 50. The rack 50 holds one or more containers 60 by inserting each of the containers 60 into each of the holes 53. In the example shown in FIG. 2, the rack 50 has ten holes 53, thereby holding up to ten containers 60. The number of containers 60 held by one rack 50 may be changed.

  A through hole 55 is formed in the long side surface of the rack 50. The through-hole 55 penetrates the rack 50. This allows the inspection system 1 to detect the transmission of light applied to the container 60 while the container 60 is held by the rack 50.

  The configuration of the rack 50 shown in FIG. 2 is merely an example. The rack 50 may have another form as long as it can hold the plurality of containers 60.

  The configuration of the container 60 shown in FIG. 2 is merely an example. As a material of the container 60, a container of any material such as a glass container, various resin containers, a quartz container, and a metal container can be used. The material of the container 60 can be appropriately selected according to the type of the sample to be stored.

  In addition, the conveyance mode of the container 4 shown in FIG. 2 is only an example. That is, in the inspection system 1, the container 4 may be transported alone without being stored in the rack 7.

  Returning to FIG. 1, the transport device 40 includes transport paths 40A, 40B, 40C, 40D, 40E, and 40F. The transport path 40A is connected to each of the transport paths 40B to 40F. The transport path 40B connects the qualitative analyzer 10 and the transport path 40A. The transport path 40C connects the material analyzer 21 and the transport path 40A. The transport path 40D connects the material analyzer 22 and the transport path 40A. The transport path 40E connects the material analyzer 23 and the transport path 40A. The transport path 40F connects the material analyzer 24 and the transport path 40A. The transport device 40 includes a drive control unit 41 for controlling the transport of the sample in the transport paths 40A to 40F.

<2. Urine qualitative analysis>
The qualitative analyzer 10 performs urine qualitative analysis. More specifically, the qualitative analyzer 10 samples the specimen, performs an optical and / or other method test of the sample obtained by the sampling, and derives the result of the urine qualitative analysis. Is output to the information processing terminal 30. The information processing terminal 30 derives a urine qualitative analysis result by processing the data output from the qualitative analyzer 10 using a given computer program.

  The qualitative analyzer 10 may derive the result of the urine qualitative analysis based on the data and output the result of the analysis to the information processing terminal 30. Urine qualitative analysis derives, for example, data (or analysis results) about the color and / or turbidity of the sample and / or data (or analysis results) on the presence or absence of components such as sugars and / or proteins in the sample. ) Is derived.

  In the present specification, “performing a urine qualitative analysis” includes performing at least a part of a process for deriving a result of the urine qualitative analysis.

<3. Material Analysis>
The material analysis device 21 performs material analysis. In the component analysis in the inspection system 1, an image of a specimen is used. The particle analyzer 21 captures an image of the specimen and outputs the image to the information processing terminal 30. The information processing terminal 30 derives the result of the material component analysis by processing the image using a given computer program. The component analysis derives a result as to whether a particular component, such as red blood cells, white blood cells, and / or epithelial cells, is included in the specimen.

  In the present specification, “performing a component analysis” includes performing at least a part of a process for deriving a result of a urine qualitative analysis.

  FIG. 3 is a diagram for explaining a process of forming component analysis in the inspection system 1. As shown in FIG. 3, the material analysis mainly includes five steps shown in (i) to (v).

  In step (i), a staining solution is added to the specimen. More specifically, a preparation 70 is prepared for each sample. The preparation 70 includes a storage section 71, a concave section 72, and a cover glass 73. The cover glass 73 covers the recess 72. In step (i), a sample (part of) is extracted from the container 60 (see FIG. 2), injected into the storage unit 71, and further, the staining liquid is injected into the storage unit 71.

  In the step (ii), the sample introduced into the storage section 71 is mixed with a staining solution and heated. Mixing and heating may be achieved by known techniques. By heating, the specimen is heated to a preset temperature suitable for the component analysis.

  In the step (iii), the sample in the storage unit 71 is introduced between the recess 72 and the cover glass 73 by, for example, a capillary phenomenon. The cover glass 73 may be stimulated to facilitate the introduction of the sample.

  In the step (iv), an image of the sample is taken from above the cover glass 73. The shooting of the image may be automated by an autofocus function.

  In the step (v), the content of the specific component in the specimen is determined by analyzing the image captured in the step (iv).

  In the inspection system 1, of the steps (i) to (v) shown in FIG. 3, for example, the steps (i) to (iv) are executed by the material analysis device 21, and the step (v) is performed by the information processing terminal. Performed by 30.

  In FIG. 3, a step of preparing a sample for image photographing (preparation 70 of step (iii)) from a specimen as shown in steps (i) to (iii) in the particulate matter analyzer 21. Is shown as a sample preparation unit 210. The part that performs the step of taking an image of the sample, as shown as step (iv), is shown as an imaging unit 220. The imaging unit 220 includes a camera 221.

  The camera 221 is, for example, a charge-coupled device (CCD) image sensor, a 3CCD image sensor, or a complementary metal-oxide semiconductor (CMOS) image sensor.

The area photographed by the camera 221 depends on the resolution of the camera 221 and / or the magnification of the lens. For example, when a 20 × objective lens is attached to a biological microscope (BX-50 manufactured by Olympus Optical) and the image is captured by a CCD camera (XC-003 manufactured by Sony), the imaging range of the subject is 0.0432 mm ² . (Width 0.24 mm, height 0.18 mm).

  FIG. 4 is a diagram illustrating an example of the functional configuration of the material analyzer 21. As shown in FIG. 4, when a sample is introduced into the material analyzer 21, a sample (preparation 70) of the sample is prepared by the sample preparation unit 210. Then, the image of the produced sample is imaged by the imaging unit 220. The captured image is output to the information processing terminal 30.

1 have the same functions as the material analyzer 21. The material analyzers 22 to 24 shown in FIG.
<4. Hardware Configuration>
FIG. 5 is a diagram illustrating an example of a hardware configuration of the inspection system 1. The hardware configuration of the inspection system 1 will be described for each device.

(Qualitative analyzer 10)
The qualitative analyzer 10 includes a CPU (Central Processing Unit) 101, a memory 102, a transport motor 103, a barcode reader 104, a communication unit 105, and a measurement unit 106.

  The CPU 101 controls the operation of each unit of the qualitative analyzer 10 by executing a program stored in the memory 102. The memory 102 is a storage device such as a read only memory (ROM), a random access memory (RAM), and / or a hard disk. The CPU 101 may execute a program stored in a storage device on a network or a recording medium (such as a memory stick) that is detachable from the qualitative analyzer 10.

  The transport motor 103 drives a member (for example, a roller) for transporting the rack 50 in the qualitative analyzer 10.

  The barcode reader 104 reads a barcode attached to each container 60 and outputs the code to the CPU 101. This is an example of a unit that acquires information that specifies each container 60. The information for specifying each container 60 includes, for example, identification information assigned to each of the persons who provided the samples contained in each container 60.

  The communication unit 105 is a unit for communicating with an external device such as the information processing terminal 30. Communication by the communication unit 105 may be wired or wireless. Communication unit 105 is realized by, for example, a network interface card.

  The measurement unit 106 performs measurement for the urine qualitative analysis on the sample contained in each container 60. The measurement values acquired by the measurement unit 106 are, for example, urine protein concentration, urine sugar concentration, blood concentration, pH, and / or specific gravity.

  The CPU 101 transmits the barcode of each container 60 and the measurement value of the measurement unit 106 to the information processing terminal 30.

(Formation analyzers 21 to 24)
The material analyzer 21 includes a CPU 201, a memory 202, a transport motor 203, a barcode reader 204, a communication unit 205, an arm motor 211, a sample pump 212, a reagent pump 213, and a camera. 221.

  The CPU 201 controls the operation of each unit of the material analyzer 21 by executing a program stored in the memory 202. The CPU 201 may execute a program stored in a storage device on a network or a recording medium (such as a memory stick) that is detachable from the material analyzer 21.

  The transport motor 203 drives a member (for example, a roller) that transports the rack 50 in the material analysis device 21.

  The barcode reader 204 reads a barcode attached to each container 60 and outputs the barcode to the CPU 201.

  The communication unit 205 communicates with an external device such as the information processing terminal 30. The communication may be wired or wireless. The communication unit 205 is realized by, for example, a network interface card.

  The arm motor 211 drives an arm that moves a pipette for injecting the sample in the container 60 into the preparation 70 as shown in FIG. The sample pump 212 aspirates / discharges the sample when the sample shown in FIG. 3 is injected. The reagent pump 213 sucks / discharges the reagent when the reagent (for example, a staining liquid) in FIG. 3 is injected into the preparation.

The camera 221 captures an image of the sample as shown in FIG.
The hardware configuration of the material component analyzers 22 to 24 can be the same as the hardware configuration of the material component analyzer 21. However, each of the material components analyzers 22 to 24 need not have the same hardware configuration as the material component analyzer 21.

(Information processing terminal 30)
The information processing terminal 30 includes a CPU 301, a memory 302, a keyboard 303, a mouse 304, a monitor 305, and a communication unit 306.

  The CPU 301 controls each unit of the information processing terminal 30 by executing a program stored in the memory 302. The CPU 301 may execute a program stored in a storage device on a network or a recording medium (such as a memory stick) that is removable from the information processing terminal 30. The keyboard 303 and the mouse 304 are examples of a user interface that receives input of information to the information processing terminal 30. The monitor 305 displays information.

  The communication unit 306 communicates with the qualitative analyzer 10, the material analyzers 21 to 24, and the transport device 40 by wire or wirelessly. The communication unit 306 is realized by, for example, a network interface card.

(Transport device 40)
The transport device 40 includes a CPU 401, a memory 402, a sensor 403, a motor 404, and a communication unit 405. The CPU 401 controls each unit of the transport device 40 by executing a program stored in the memory 402. The CPU 401 may execute a program stored in a storage device on a network or a recording medium (such as a memory stick) that is removable from the transport device 40.

  The sensor 403 detects the presence or absence of the rack 50 at one or more positions on the transport paths 40A to 40F, and transmits the result of the detection to the CPU 401. The CPU 401 controls the operation of the motor 404 based on a detection result from the sensor 403 and an instruction from the information processing terminal 30, thereby transporting the rack 50 in a manner described in this specification.

  The communication unit 405 communicates with the information processing terminal 30 by wire or wirelessly. The communication unit 405 is realized by, for example, a network interface card.

<5. Rack transport mode in inspection system>
FIGS. 6 to 11 are diagrams for explaining a transport mode of a plurality of continuous racks 50. FIG.

  First, with reference to FIG. 6 to FIG. 9, a description will be given of a transport mode of each of four consecutive racks 50 in the inspection system 1.

(Transport mode of the first rack)
FIG. 6 shows a transport mode of the first rack 50. As shown by an arrow A11 in FIG. 6, the transport device 40 transports the first rack 50 to the qualitative analyzer 10 via the transport path 40B. When the qualitative analyzer 10 completes the measurement for the container 60 held in the first rack 50, it sends out the first rack 50 to the transport path 40B.

  The transport device 40 transports the first rack 50 sent out to the transport route 40B to the material analysis device 21 via the transport route 40C as indicated by an arrow A12. When the imaging of the specimen of each container 60 held in the first rack 50 is completed, the material analyzer 21 sends the first rack 50 to the transport path 40C.

  The transport device 40 transports the first rack 50 sent out to the transport route 40C to the downstream side of the inspection system 1 via the transport route 40A as indicated by an arrow A13. On the downstream side of the inspection system 1, for example, manual analysis is performed on at least one of the containers 60 of the rack 50. On the downstream side of the inspection system 1, the container 60 may be discarded.

(Transport mode of the second rack)
FIG. 7 shows a transport mode of the second rack 50. As indicated by an arrow A21 in FIG. 7, the transport device 40 transports the second rack 50 to the qualitative analyzer 10 via the transport path 40B. When the qualitative analyzer 10 completes the measurement for the container 60 held in the second rack 50, it sends out the second rack 50 to the transport path 40B.

  The transport device 40 transports the second rack 50 sent out to the transport route 40B to the material analyzer 22 via the transport route 40D as indicated by an arrow A22. After the imaging of the sample of each container 60 held in the second rack 50 is completed, the material analyzer 22 sends the second rack 50 to the transport path 40D.

  The transport device 40 transports the second rack 50 sent out to the transport route 40D to the downstream side of the inspection system 1 via the transport route 40A as shown by an arrow A23.

(Transporting mode of the third rack)
FIG. 8 shows a transport mode of the third rack 50. As shown by an arrow A31 in FIG. 8, the transport device 40 transports the third rack 50 to the qualitative analyzer 10 via the transport path 40B. After finishing the measurement for the container 60 held in the third rack 50, the qualitative analyzer 10 sends out the third rack 50 to the transport path 40B.

  The transport device 40 transports the third rack 50 sent out to the transport route 40B to the material analysis device 23 via the transport route 40E as indicated by an arrow A32. After the imaging of the sample of each container 60 held in the third rack 50 is completed, the material analyzer 23 sends the third rack 50 to the transport path 40E.

  The transport device 40 transports the third rack 50 sent out to the transport route 40E to the downstream side of the inspection system 1 via the transport route 40A as indicated by an arrow A33.

(Transport mode of the fourth rack)
FIG. 9 shows a transport mode of the fourth rack 50. As indicated by an arrow A41 in FIG. 9, the transport device 40 transports the fourth rack 50 to the qualitative analyzer 10 via the transport path 40B. After finishing the measurement for the container 60 held in the fourth rack 50, the qualitative analyzer 10 sends the fourth rack 50 to the transport path 40B.

  The transport device 40 transports the fourth rack 50 sent out to the transport route 40B to the material analysis device 24 via the transport route 40E as indicated by an arrow A42. When the imaging of the sample of each container 60 held in the fourth rack 50 is completed, the material analyzer 24 sends the fourth rack 50 to the transport path 40E.

  The transport device 40 transports the fourth rack 50 sent out to the transport path 40E to the downstream side of the inspection system 1 via the transport path 40A as indicated by an arrow A43.

  As described with reference to FIGS. 6 to 9, the transport device 40 transports a plurality of continuous racks 50 to any of the material analysis devices 21 to 24. Which of the material analyzers 21 to 24 is the destination is determined, for example, in a predetermined order. More specifically, the transport destinations are specified in the order of the material analyzers 21, 22, 23, and 24. Thus, the transport destination of the first rack 50 is the material analysis device 21, the transport destination of the second rack 50 is the material analysis device 22, and the transport destination of the third rack 50. Is the material component analyzer 23, and the transport destination of the fourth rack 50 is the material component analyzer 24. The transport destination of the fifth rack 50 is updated in the order of the material component analyzers 21, 22, 23, and 24.

  The transport device 40 determines the transport destination of each of the plurality of racks 50 under the control of the information processing terminal 30. FIG. 10 is a flowchart of a control process of the transport device 40, which is executed by the CPU 301 of the information processing terminal 30.

  Referring to FIG. 10, in step S10, CPU 301 sets the value of variable N used in the processing of FIG. 10 to 0. The variable N is 0 or a positive integer. Thereafter, the control proceeds to step S20.

  In step S20, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 to the qualitative analyzer 10. In response, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 set in the inspection system 1 to the qualitative analyzer 10. The qualitative analyzer 10 performs qualitative analysis of the sample in each container 60 set in the rack 50, and then unloads the rack 50 to the transport path 40B. When the rack 50 is unloaded to the transport path 40B, the control proceeds to step S30.

  In step S30, the CPU 301 adds 1 to the value of the variable N. Thereafter, control proceeds to step S40.

  In step S40, the CPU 301 determines whether or not the value of the variable N is 1. When CPU 301 determines that the value of variable N is 1 (YES in step S40), control proceeds to step S42. When determining that the value of the variable N is not 1 (NO in step S40), the CPU 301 advances the control to step S50.

The control in steps S42 to S44 corresponds to FIG.
More specifically, in step S42, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 unloaded to the transport path 40B to the material analysis device 21. In response, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 located on the transport path 40B to the material analysis device 21. The material analyzer 21 captures an image for material analysis of the sample in each container 60 set in the rack 50, and then unloads the rack 50 to the transport path 40C. When the rack 50 is unloaded to the transport path 40C after the image is captured, the control proceeds to step S44.

  In step S44, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 carried out to the transport path 40C to the downstream side of the inspection system 1. Thereafter, the control returns to step S20. In response to the instruction in step S44, the CPU 401 of the transport device 40 drives the motor 404 to transport the rack 50 located on the transport path 40C to the downstream side of the inspection system 1.

  In step S50, the CPU 301 determines whether or not the value of the variable N is 1. When CPU 301 determines that the value of variable N is 2 (YES in step S50), control proceeds to step S52. When determining that the value of the variable N is not 2 (NO in step S50), the CPU 301 advances the control to step S60.

The control in steps S52 to S54 corresponds to FIG.
More specifically, in step S52, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 unloaded to the transport path 40B to the material analysis device 22. In response, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 located on the transport path 40B to the material analysis device 22. The material analyzer 22 captures an image for the material analysis of the sample in each container 60 set in the rack 50, and then unloads the rack 50 to the transport path 40D. When the rack 50 is unloaded to the transport path 40D after capturing the image, control proceeds to step S54.

  In step S54, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 carried out to the transport path 40D to the downstream side of the inspection system 1. Thereafter, the control returns to step S20. In response to the instruction in step S54, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 located on the transport path 40D to the downstream side of the inspection system 1.

  In step S60, the CPU 301 determines whether or not the value of the variable N is 3. When CPU 301 determines that the value of variable N is 3 (YES in step S60), control proceeds to step S62. When determining that the value of the variable N is not 3 (NO in step S60), the CPU 301 advances the control to step S72.

The control in steps S62 to S64 corresponds to FIG.
More specifically, in step S62, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 unloaded to the transport path 40B to the material analysis device 23. In response, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 located on the transport path 40B to the material analysis device 23. The material analyzer 23 captures an image for the material analysis of the sample in each container 60 set in the rack 50, and then unloads the rack 50 to the transport path 40E. When the rack 50 is unloaded to the transport path 40E after capturing the image, the control proceeds to step S64.

  In step S64, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 unloaded to the transport path 40E to the downstream side of the inspection system 1. Thereafter, the control returns to step S20. In response to the instruction in step S64, the CPU 401 of the transport device 40 drives the motor 404 to transport the rack 50 located on the transport path 40E to the downstream side of the inspection system 1.

The control in steps S72 to S74 corresponds to FIG.
More specifically, in step S72, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 unloaded to the transport path 40B to the material analysis device 24. In response, the CPU 401 of the transport device 40 drives the motor 404 so as to transport the rack 50 located on the transport path 40B to the material analysis device 24. The material analyzer 24 captures an image for the material analysis of the sample in each container 60 set in the rack 50, and then unloads the rack 50 to the transport path 40F. When the rack 50 is unloaded to the transport path 40F after capturing the image, the control proceeds to step S74.

  In step S74, the CPU 301 outputs an instruction to the transport device 40 to transport the rack 50 carried out to the transport path 40F to the downstream side of the inspection system 1. Thereafter, the control returns to step S10. As a result, the value of the variable N is returned to 0. In response to the instruction in step S74, the CPU 401 of the transport device 40 drives the motor 404 to transport the rack 50 located on the transport path 40F to the downstream side of the inspection system 1.

  FIG. 11 shows which apparatus processes eight consecutive racks 50 indicated by rack numbers (1) to (8). All racks 50 are processed by the qualitative analyzer 10. Further, all racks 50 are processed by any of the material analyzers 21 to 24.

  More specifically, the rack 50 having the rack number (1) is processed by the material component analyzer 21. The rack 50 with the rack number (2) is processed by the material analyzer 22. The rack 50 having the rack number (3) is processed by the material analyzer 23. The rack 50 of the rack number (4) is processed by the material analyzer 24. The rack 50 having the rack number (5) is processed by the material analyzer 21. The rack 50 having the rack number (6) is processed by the material analyzer 22. The rack 50 with the rack number (7) is processed by the material analyzer 23. The rack 50 having the rack number (8) is processed by the material analyzer 24.

  That is, assuming that X is 0 or a positive integer, the continuous plurality of racks 50 have four types (“X + 1” th, “X + 2” th, “X + 3” th, and “X + 4” th) according to the processing order. )are categorized. The “X + 1” -th rack 50 is conveyed to the material analysis device 21, the “X + 2” -th rack 50 is conveyed to the material analysis device 22, and the “X + 3” -th rack 50 is used for the material analysis device 23. And the “X + 4” th rack 50 is transported to the material analyzer 24.

  Thereby, in the inspection system 1, the load of the material component analysis is distributed among the material component analyzers 21 to 24.

  Note that the CPU 301 may instruct the transport path 40 to transport the rack 50 in the order in which the above-described mode is modified. When a certain rack 50 is to be transported to any of the material component analyzer 21, the material component analyzer 22, the material component analyzer 23, and the material component analyzer 24, the material component analyzer If the new sample cannot be accepted and the other material analysis device cannot accept the new sample, the CPU 301 determines that the other material not processing the rack 50. The analyzer may be specified as the transport destination. An example of a state in which a new sample cannot be accepted is a state in which another sample is being tested. Another example is a state in which the device has stopped due to the occurrence of a trouble. Yet another example is when the device is stopped due to lack of consumables (washing solution, staining solution, preparation, etc.).

<6. Modification>
In the first embodiment described above, each of the qualitative analyzer 10 and the material analyzers 21 to 24 is supplied with the rack 50 from one side of each apparatus, and the rack 50 is supplied to the one side. Was sent out. More specifically, the qualitative analyzer 10 supplies the rack 50 from above in FIG. 6, as indicated by an arrow A11 in FIG. As shown by the arrow A12 in FIG. 6, the qualitative analyzer 10 sends the rack 50 upward in FIG. However, at least one of the qualitative analyzer 10 and the material analyzers 21 to 24 may send out the rack 50 from a surface different from the supplied surface.

[Second embodiment]
FIG. 12 is a diagram schematically illustrating an example of a configuration of an inspection system according to the second embodiment. In the second embodiment, some of the four component analyzers 21 to 24 are arranged so as to face each other across the transport path.

  More specifically, the inspection system 1 includes one qualitative analyzer 10 and four material analyzers 21 to 24. The qualitative analyzer 10 and the material analyzers 21 to 24 are connected by transport paths 40P, 40Q, 40R, 40S, and 40T. The transport device 40P connects the qualitative analyzer 10 and the downstream side of the inspection system 1. The material analyzer 21 is connected to the transport path 40P by the transport path 40Q. The material analyzer 22 is connected to the transport path 40P by the transport path 40R. The material analysis device 23 is connected to the transport path 40P by the transport path 40S. The material analyzer 24 is connected to the transport path 40P by the transport path 40T.

  In the inspection system 1 according to the second embodiment, the material component analyzer 21 and the material component analyzer 23 face each other across the transport paths 40Q, 40P, and 40S. FIG. 13 to FIG. 16 are diagrams for explaining a transport mode of a plurality of continuous racks 50 in the inspection system 1 according to the second embodiment. When X is an integer, and the continuous racks 50 are classified into four types (“X + 1” th, “X + 2” th, “X + 3” th, and “X + 4” th), the transport mode of each rack 50 is as follows. This will be described as follows with reference to FIGS.

  FIG. 13 shows the transport mode of the “X + 1” -th rack 50. Specifically, the “X + 1” -th rack 50 is transported from the qualitative analyzer 10 to the material analyzer 21 (arrow A51), and then transported downstream of the inspection system 1 (arrow A52).

  FIG. 14 shows the transport mode of the “X + 2” th rack 50. Specifically, the “X + 2” -th rack 50 is transported from the qualitative analyzer 10 to the material analyzer 22 (arrow A61), and then transported downstream of the inspection system 1 (arrow A62).

  FIG. 15 shows the transport mode of the “X + 3” th rack 50. Specifically, the “X + 3” -th rack 50 is transported from the qualitative analyzer 10 to the material analyzer 23 (arrow A71), and then transported downstream of the inspection system 1 (arrow A72).

  FIG. 16 shows the transport mode of the “X + 4” th rack 50. Specifically, the “X + 4” -th rack 50 is transported from the qualitative analyzer 10 to the material analyzer 24 (arrow A81), and then transported downstream of the inspection system 1 (arrow A82).

  In the second embodiment, at least two of the material analyzers 21 to 24 are arranged so as to face each other across the transport path, so that the qualitative analyzer 10 of the inspection system 1 Downstream dimension (lateral dimension in FIG. 12 etc.) can be reduced.

[Third Embodiment]
The inspection system according to the third embodiment includes at least the qualitative analyzer 10 and the material analyzer 21. The rack 50 after the qualitative analysis in the qualitative analyzer 10 is transported to the material component analyzer 21. In the third embodiment, the particulate matter analyzer 21 includes a plurality of sample preparation units. FIG. 17 is a diagram schematically illustrating an example of a functional configuration of the material component analyzing device 21 according to the third embodiment. FIG. 18 is a diagram illustrating an example of a hardware configuration of the material component analyzing device 21 according to the third embodiment.

  As shown in FIG. 17 and FIG. 18, the particulate matter analyzer 21 includes three sample preparation units (sample preparation units 210A, 210B, 210C). Each of the sample preparation units 210A, 210B, 210C controls any of the arm motors 211A, 211B, 211C, any of the sample pumps 212A, 212B, 212C, and any of the reagent pumps 213A, 213B, 213C. Including.

  FIG. 19 is a flowchart of a process for controlling the transport of the rack 50 and the sample (preparation 70) by the CPU 201 of the particulate matter analyzer 21 according to the third embodiment. The transport of the rack 50 and the sample is realized, for example, by the CPU 201 outputting an instruction to the transport motor 203.

  As shown in FIG. 19, the CPU 201 sets 0 as the value of the variable N (step SA10).

  Next, when receiving the rack 50 transported from the qualitative analyzer 10, the CPU 201 updates the value of the variable N by 1 (step SA20).

  Next, a determination is made as to the value of N. If the value of N is 1 (YES in step SA30), CPU 201 transports rack 50 to sample preparation unit 210A (step SA32). If the value of N is 2 (YES in step SA40), CPU 201 transports rack 50 to sample preparation unit 210B (step SA42). Otherwise (NO in step SA40), CPU 201 transports rack 50 to sample preparation unit 210C (step SA52). After step SA52, the CPU 201 sets 0 as the value of the variable N (step SA54). Thus, in the second embodiment, the value of the variable N can be changed between 0 and 3.

  After that, the CPU 201 transports the samples produced in each of the specimen production units 210A, 210B, 210C to the imaging unit 220 (step SA60), and unloads the rack 50 to the transport path 40C (step SA70).

  As described above, in the third embodiment, the plurality of racks 50 conveyed to the material analysis device 21 are divided into three types (“X + 1st”, “X + 2nd”) according to the order in which they are conveyed. And "X + 3rd"). X is 0 or a positive integer. The (X + 1) th rack 50 is transported to the sample preparation unit 210A. The (X + 2) th rack 50 is transported to the sample preparation unit 210B. The X + 3rd rack 50 is transported to the sample preparation unit 210C.

  The CPU 201 instructs the transport motor 203 to transport the slide 70 produced in the sample production units 210A, 210B, 210C to the imaging unit 220, and completes production of the samples in the sample production units 210A, 210B, 210C. An instruction to transport the rack 50 to the transport path 40C (see FIG. 1 and the like) is output.

  In the inspection system according to the third embodiment, in the particulate matter analyzer 21, the load of sample preparation is distributed among the sample preparation units 210A, 210B, and 210C.

[Fourth Embodiment]
The inspection system according to the fourth embodiment includes at least a qualitative analyzer 10 and a material analyzer 21. The rack 50 after the qualitative analysis in the qualitative analyzer 10 is transported to the material component analyzer 21. In the fourth embodiment, the material analyzer 21 includes a plurality of imaging units. FIG. 20 is a diagram schematically illustrating an example of a functional configuration of the solid component analyzer 21 according to the fourth embodiment. FIG. 21 is a diagram illustrating an example of a hardware configuration of the material component analyzing device 21 according to the fourth embodiment.

  As shown in FIG. 20 and FIG. 21, the material analysis device 21 includes three imaging units (imaging units 220A, 220B, and 220C). Each of the imaging units 220A, 220B, and 220C includes one of the cameras 221A, 221B, and 221C.

  FIG. 22 is a flowchart of a process for controlling the transport of the rack 50 and the sample (preparation 70) by the CPU 201 of the material analyzer 21 according to the fourth embodiment. The transport of the rack 50 and the sample is realized, for example, by the CPU 201 outputting an instruction to the transport motor 203.

  As shown in FIG. 22, the CPU 201 sets 0 as the value of the variable N (step SB10).

  Next, the CPU 201 conveys the rack 50 conveyed to the material analysis device 21 to the sample preparation unit 210 (step SB20).

Next, the CPU 201 updates the value of the variable N by 1 (step SB30).
Next, the CPU 301 transports each sample produced by the sample production unit 210 to a destination specified according to the value of the variable N. Specifically, if the value of variable N is 1 (YES in step SB40), CPU 201 transports the sample to imaging unit 220A (step SB42). If the value of the variable N is 2 (YES in step SB50), the CPU 201 transports the sample to the imaging unit 220B (step SB52). If the value of the variable N is any other value (NO in step SB50), the CPU 201 transports the sample to the imaging unit 220C (step SB62). The CPU 201 sets 0 as the value of the variable N. As a result, the variable N takes a value from 0 to 3.

  In step SB70, the CPU 201 determines whether or not the transport of all the samples (containers 60) held in the rack 50 transported to the material analyzer 21 is completed. When CPU 201 determines that it has not been completed yet (NO in step SB70), it returns the control to step SB30. When CPU 201 determines that the process is completed (YES in step SB70), control proceeds to step SB80.

  In step SB80, the CPU 201 unloads the rack 50 to the transport path 40C, and returns the control to step SB20. Note that the CPU 201 moves the sample rack 50 through the transfer path even before the transfer of all the samples in all the containers 60 held in the rack 50 is completed, provided that the preparation of all the samples is completed. It may be carried out to 40C.

  In the solid component analyzer 21 according to the fourth embodiment, a plurality of samples (“X + 1”, “X + 2”), and “X + 2” X + 3rd "). X is 0 or a positive integer. The (X + 1) th sample is transported to the imaging unit 220A. The (X + 2) th sample is transported to the imaging unit 220B. The X + 3rd sample is transported to the imaging unit 220C.

  In the inspection system according to the fourth embodiment, in the tangible substance analyzer 21, the load of photographing a sample is distributed among the photographing units 220A, 220B, and 220C.

[Fifth Embodiment]
The inspection system according to the fifth embodiment includes at least the qualitative analyzer 10 and the material analyzer 21. The rack 50 after the qualitative analysis in the qualitative analyzer 10 is transported to the material component analyzer 21. In the fifth embodiment, the particulate matter analyzer 21 includes a plurality of sample preparation units and a plurality of imaging units. FIG. 23 is a diagram schematically illustrating an example of a functional configuration of the solid component analyzer 21 according to the fifth embodiment. FIG. 24 is a diagram illustrating an example of a hardware configuration of the material component analyzing device 21 according to the fifth embodiment.

  As shown in FIGS. 23 and 24, the particulate matter analyzer 21 includes three sample preparation units (sample preparation units 210A, 210B, 210C) and three photographing units (photographing units 220A, 220B, 220C). Including.

  In the fifth embodiment, according to the order in which the plurality of racks 50 transported to the material analyzer 21 are transported, three types (“X + 1”, “X + 2”), and “X + 3” ")are categorized. X is 0 or a positive integer. The (X + 1) th rack 50 is transported to the sample preparation unit 210A. The (X + 2) th rack 50 is transported to the sample preparation unit 210B. The X + 3rd rack 50 is transported to the sample preparation unit 210C.

  Furthermore, in the particulate matter analyzer 21 according to the fifth embodiment, three types of samples (“Y + 1” and “Y + 2”) are prepared by the sample preparation units 210A, 210B, and 210C according to the preparation order. , And “Y + 3rd”). Y is 0 or a positive integer. The (Y + 1) th sample is transported to the imaging unit 220A. The (Y + 2) th sample is transported to the imaging unit 220B. The Y + 3rd sample is transported to the imaging unit 220C.

Thereafter, the rack 50 is carried out to the transport path 40C.
In the inspection system according to the fifth embodiment described above, in the tangible substance analyzer 21, the load of sample preparation is distributed among the sample preparation units 210A, 210B, and 210C. Further, in the inspection system according to the fifth embodiment, in the tangible substance analyzer 21, the load of photographing the sample is distributed among the photographing units 220A, 220B, and 220C.

  It should be understood that the embodiments and modifications thereof disclosed herein are illustrative in all aspects and not restrictive. The scope of the present disclosure is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  Reference Signs List 1 inspection system, 10 qualitative analyzer, 21, 22, 23, 24 material component analyzer, 30 information processing terminal, 40 transporter, 40A, 40B, 40C, 40D, 40E, 40F, 40P, 40Q, 40R, 40S , 40T transport route, 50 racks, 60 containers, 70 slides.

Claims (11)

A test system for in vitro diagnosis of a urine sample,
A qualitative analyzer for performing qualitative analysis of the sample;
A material analyzer for performing material analysis of the sample,
The number of the component analyzers is greater than the number of the qualitative analyzers,
Each of the two or more specimens after analysis by the qualitative analyzer is formed into a single material selected in a predetermined order from a greater number of the material analyzers than the number of the qualitative analyzers. Further comprising a transport device for transporting to the minute analyzer ,
The tangible analyzers having a number greater than the number of the qualitative analyzers include a first tangential analyzer and a second tangential analyzer,
The transport device includes a first path for transporting a sample in a first direction, and the first material analyzer on one side of a second direction intersecting the first direction from the first path. A second path for transporting the sample toward the second path, a third path for transporting the sample from the first path to the other side of the second direction toward the second material analyzer, Inspection system , including . The inspection system according to claim 1 , wherein a larger number of the tangible analyzers than the number of the qualitative analyzers are arranged to face each other across the transport path of the sample. A test system for in vitro diagnosis of a urine sample,
A qualitative analyzer for performing qualitative analysis of the sample;
A material analyzer for performing material analysis of the sample,
A transport device for transporting the sample after analysis by the qualitative analyzer to the particulate matter analyzer,
The particulate matter analyzer includes a number of sample preparation units larger than the number of the qualitative analyzers, a transport unit for introducing a sample into each of the sample preparation units, and an imaging unit,
Each of the sample preparation units prepares a sample for forming component analysis from a sample,
The imaging unit captures an image of the sample manufactured by the sample manufacturing unit,
The transport unit, each of the two or more samples after analysis by the qualitative analyzer, one sample selected in a predetermined order from a number of sample preparation units greater than the number of the qualitative analyzer Inspection system to transport to production unit. A test system for in vitro diagnosis of a urine sample,
A qualitative analyzer for performing qualitative analysis of the sample;
A material analyzer for performing material analysis of the sample,
A transport device for transporting the sample after analysis by the qualitative analyzer to the particulate matter analyzer,
The particulate matter analyzer,
A sample preparation unit for preparing a sample for component analysis from a sample,
A greater number of imaging units than the number of qualitative analyzers,
A transport unit that transports each of the plurality of samples produced by the sample production unit to one of the imaging units selected in a predetermined order from a number of imaging units larger than the number of the qualitative analyzers. And an inspection system, including: The transfer device,
By transporting a rack that holds two or more sample containers containing each of the individual samples, two or more sample containers are simultaneously transported,
The inspection system according to any one of claims 1 to 4 , wherein a sample is transported to the material analyzer in rack units. A test method performed in a test system for in vitro diagnosis of a urine sample,
The qualitative analyzer performs a qualitative analysis of the sample;
Each of the two or more specimens analyzed by the qualitative analyzer is analyzed by a single material analysis selected in a predetermined order from a number of material analyzers larger than the number of the qualitative analyzers. Transporting to the device,
Each said material ingredient analyzer, and performing a tangible component analysis of the sample after the execution of the qualitative analysis by the qualitative analyzer seen including,
The tangible analyzers having a number greater than the number of the qualitative analyzers include a first tangential analyzer and a second tangential analyzer,
The two or more specimens include a first specimen and a second specimen,
Transporting each of the two or more samples after analysis by the qualitative analyzer to the material analyzer,
A first path for transporting the specimen in a first direction, and a connection from the first path to one side of a second direction intersecting with the first direction toward the first component analyzer; Transporting the first sample via a second route to be performed;
The first path and the second path from the first path to the other side of the second direction toward the second material component analyzing apparatus via the third path. including the inspection method for transporting a sample. A test program executed by a computer to control a test system for in vitro diagnosis of a urine sample,
By executing the inspection program, the computer:
The qualitative analyzer performs qualitative analysis of the sample,
In the transfer device, each of the two or more samples after the analysis by the qualitative analyzer is a single unit selected in a predetermined order from a number of material analyzers greater than the number of the qualitative analyzers. Transported to the particulate matter analyzer,
Each of the material analyzers performs material analysis of the sample after performing the qualitative analysis by the qualitative analyzer ,
The tangible analyzers having a number greater than the number of the qualitative analyzers include a first tangential analyzer and a second tangential analyzer,
The two or more specimens include a first specimen and a second specimen,
Causing the transport device to transport each of the two or more samples,
A first path for transporting the specimen in a first direction, and a connection from the first path to one side of a second direction intersecting with the first direction toward the first component analyzer; Transporting the first sample via a second path to be performed;
The first path and the second path from the first path to the other side of the second direction toward the second material component analyzing apparatus via the third path. An inspection program including transporting a sample . A test method performed in a test system for in vitro diagnosis of a urine sample,
The qualitative analyzer performs a qualitative analysis of the sample;
Transport device, to transport the sample after the analysis by the qualitative analyzer to the solid component analyzer,
The particulate matter analyzing device performs a particulate matter analysis of the sample,
The particulate matter analyzer includes a number of sample preparation units larger than the number of the qualitative analyzers, a transport unit for introducing a sample into each of the sample preparation units, and an imaging unit,
The particulate matter analyzer performs a particulate matter analysis of a sample,
Each of the sample preparation units is to prepare a sample for the formation analysis from the sample,
The imaging unit captures an image of the sample manufactured by the sample manufacturing unit,
The transport unit, each of the two or more samples after analysis by the qualitative analyzer, one sample selected in a predetermined order from a number of sample preparation units greater than the number of the qualitative analyzer Inspection method including transporting to a production unit. A test program executed by a computer to control a test system for in vitro diagnosis of a urine sample,
By executing the inspection program, the computer:
The qualitative analyzer performs qualitative analysis of the sample,
The transport device, to transport the sample after the analysis by the qualitative analyzer to the solid component analyzer,
The material analysis device, to perform the material analysis of the sample,
The particulate matter analyzer includes a number of sample preparation units larger than the number of the qualitative analyzers, a transport unit for introducing a sample into each of the sample preparation units, and an imaging unit,
The particulate matter analyzer performs a particulate matter analysis of a sample,
Each of the sample preparation units is to prepare a sample for the formation analysis from the sample,
The imaging unit captures an image of the sample manufactured by the sample manufacturing unit,
The transport unit, each of the two or more samples after analysis by the qualitative analyzer, one sample selected in a predetermined order from a number of sample preparation units greater than the number of the qualitative analyzer An inspection program including transporting to a production unit. A test method for in vitro diagnosis of a urine sample,
The qualitative analyzer performs a qualitative analysis of the sample;
Transport device, to transport the sample after the analysis by the qualitative analyzer to the solid component analyzer,
The particulate matter analyzing device performs a particulate matter analysis of the sample,
The particulate matter analyzer includes a sample preparation unit for preparing a sample for particulate matter analysis from a sample, a number of imaging units greater than the number of the qualitative analyzers, and a transport unit.
Executing the component analysis of the sample includes selecting each of the plurality of samples prepared by the sample preparation unit from a number of imaging units larger than the number of the qualitative analyzers in a predetermined order. An inspection method, which includes transporting the image to one of the photographing units. A test program executed by a computer to control a test system for in vitro diagnosis of a urine sample,
By executing the inspection program, the computer:
The qualitative analyzer performs qualitative analysis of the sample,
The transport device, to transport the sample after the analysis by the qualitative analyzer to the solid component analyzer,
The material analysis device, to perform the material analysis of the sample,
The particulate matter analyzer includes a sample preparation unit for preparing a sample for particulate matter analysis from a sample, a number of imaging units greater than the number of the qualitative analyzers, and a transport unit.
Executing the component analysis of the sample includes selecting each of the plurality of samples prepared by the sample preparation unit from a number of imaging units larger than the number of the qualitative analyzers in a predetermined order. An inspection program including transporting the image data to one of the photographing units.

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