WO2021220617A1 - 解析用ビューア、表示システム、表示方法および表示プログラム - Google Patents

解析用ビューア、表示システム、表示方法および表示プログラム Download PDF

Info

Publication number
WO2021220617A1
WO2021220617A1 PCT/JP2021/008901 JP2021008901W WO2021220617A1 WO 2021220617 A1 WO2021220617 A1 WO 2021220617A1 JP 2021008901 W JP2021008901 W JP 2021008901W WO 2021220617 A1 WO2021220617 A1 WO 2021220617A1
Authority
WO
WIPO (PCT)
Prior art keywords
analysis
display
sample
samples
viewer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2021/008901
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
詩織 永井
智裕 川瀬
聡 山本
宏明 山田
和加奈 伊藤
将志 福地
祐馬 海野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sumitomo Rubber Industries Ltd
Shimadzu Corp
Original Assignee
Sumitomo Rubber Industries Ltd
Shimadzu Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sumitomo Rubber Industries Ltd, Shimadzu Corp filed Critical Sumitomo Rubber Industries Ltd
Priority to DE112021002523.6T priority Critical patent/DE112021002523T5/de
Priority to US17/922,442 priority patent/US20230195279A1/en
Priority to JP2022517527A priority patent/JP7547472B2/ja
Priority to CN202180031632.2A priority patent/CN115461624A/zh
Publication of WO2021220617A1 publication Critical patent/WO2021220617A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • G01N2035/00881—Communications between instruments or with remote terminals network configurations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N2035/00891—Displaying information to the operator
    • G01N2035/0091—GUI [graphical user interfaces]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis

Definitions

  • the present invention relates to an analysis viewer, a display system, a display method, and a display program.
  • An analysis system (hereinafter, also referred to as “multiple analysis device cross-sectional analysis system”) for cross-sectional analysis of a plurality of analysis results obtained by a plurality of types of analyzers has been proposed.
  • an analysis system of this type for example, Japanese Patent Application Laid-Open No. 2017-194360 (Patent Document 1) describes at least one of a fluorescent X-ray analyzer, an atomic absorption spectrophotometer, and an inductively coupled plasma emission spectrometer, and infrared.
  • a sample analysis system that acquires measurement data of a target sample using multiple types of analyzers, including at least one of a spectrophotometer and a Raman spectrophotometer, and identifies the target sample based on the acquired measurement data. It is disclosed.
  • the accuracy of specifying the target sample is improved by using the measurement data of the device suitable for the analysis of the inorganic substance and the measurement data of the device suitable for the analysis of the organic substance in combination.
  • analysis viewer a technique for displaying a plurality of analysis results collectively for each analysis device on one display screen and each analysis device. It does not have the technology to switch and display the analysis result of.
  • a user who collects the analysis result data file for each sample in the analysis viewer and performs the analysis work. It is necessary to open and display one file at a time. As a result, the convenience of the user who performs the analysis work is lowered, and there is a concern that the improvement of the analysis accuracy is hindered.
  • the present invention has been made to solve such a problem, and an object thereof is an analysis viewer, a display system, a display method, and an analysis viewer, a display system, a display method, which facilitates cross-sectional analysis of analysis results by a plurality of types of analyzers. To provide a display program.
  • the analysis viewer has a communication unit that receives analysis results by a plurality of types of analyzers that output different types of analysis results for each of a plurality of samples, and a communication unit that receives the analysis results.
  • a display unit for displaying the analysis result, a control unit for controlling the display unit, and a first selection means for selecting at least two or more display target samples from a plurality of samples are provided.
  • the display unit includes a display area for displaying analysis results by a plurality of types of analyzers for each of at least two or more display target samples, and at least two or more display areas corresponding to at least two or more display target samples.
  • FIG. 1 is a schematic diagram illustrating a configuration example of a display system according to the present embodiment.
  • the display system 100 according to the present embodiment can be applied to a plurality of analyzer cross-sectional analysis systems for cross-sectionally analyzing analysis results by a plurality of types of analyzers.
  • the display system 100 includes a plurality of analysis devices 4, a server 2, a database 3, and at least one analysis viewer 1.
  • the plurality of analyzers 4 analyze the sample.
  • the plurality of analyzers 4 include, for example, a liquid chromatograph device (LC), a gas chromatograph device (GC), a liquid chromatograph mass analyzer (LC-MS), a gas chromatograph mass analyzer (GC-MS), and a scanning electron.
  • LC liquid chromatograph device
  • GC gas chromatograph device
  • LC-MS liquid chromatograph mass analyzer
  • GC-MS gas chromatograph mass analyzer
  • SEM scanning electron.
  • TEM transmission electron microscope
  • EDX energy dispersive fluorescent X-ray analyzer
  • WDX wavelength dispersive fluorescent X-ray analyzer
  • FT-IR Fourier transform infrared spectrophotometer
  • the analyzer 4 further includes a photodiode array detector (LC-PDA), a liquid chromatography tandem mass spectrometer (LC / MS / MS), a gas chromatography tandem mass spectrometer (GC / MS / MS), and a liquid chromatograph. It may include a mass spectrometer (LC / MS-IT-TOF), a near-infrared spectrometer, a tensile tester, a compression tester, and the like.
  • the plurality of analyzers 4 shown in FIG. 1 are composed of a plurality of types of analyzers that output analysis results of different types, thereby making one sample into a plurality of analyzers. It is possible to perform multifaceted analysis using 4.
  • the analyzer 4 is composed of a device body 5 and an information processing device 6.
  • the apparatus main body 5 analyzes the sample to be analyzed.
  • the sample identification information and the sample analysis conditions are input to the information processing device 6.
  • the information processing device 6 controls the analysis in the device main body 5 according to the input analysis conditions. As a result, the apparatus main body 5 acquires "analysis data” indicating the analysis result of the sample. Further, the information processing apparatus 6 extracts the "feature amount" of the sample by analyzing the analysis data acquired by the apparatus main body 5 using the dedicated data analysis software.
  • the information processing device 6 stores the feature amount of the extracted sample in the built-in memory together with the analysis conditions, identification information and analysis data of the sample. Specifically, the information processing apparatus collectively stores the analysis conditions, sample identification information, analysis data, and feature quantities in the memory as "analysis result data" for each sample.
  • the information processing device 6 is connected to the server 2 so as to be able to communicate with each other.
  • the connection between the information processing device 6 and the server 2 may be wired or wireless.
  • the Internet can be used as a communication network connecting the information processing device 6 and the server 2.
  • the information processing device 6 of each analysis device 4 can transmit the analysis result data for each sample to the server 2.
  • the server 2 is mainly a server for managing analysis result data acquired by a plurality of analyzers 4. Analysis result data for each sample is input to the server 2 from each analyzer 4. Further, a sample "physical property value" can be input to the server 2 from the outside of the server 2.
  • the physical characteristic value of the sample is a value indicating the attribute of the sample obtained by other than the analysis by the analyzer 4.
  • the above-mentioned feature amount corresponds to the attribute value of the sample obtained by the analysis by the analyzer 4 or the attribute value obtained by performing arithmetic processing on the attribute value obtained by the analysis.
  • the configuration in which the physical characteristic value of the sample is input to the server 2 is shown, but the physical characteristic value of the sample may be input to the analyzer 4.
  • the analyzer 4 transmits the physical property values together with the analysis result data to the server 2 for each sample.
  • the physical property value of the sample may be input to the analysis viewer 1 described later.
  • Database 3 is connected to server 2.
  • the database 3 is a storage unit for storing data exchanged between the server 2 and the plurality of analyzers 4 and data input from the outside of the server 2.
  • the database 3 is configured by a storage unit externally attached to the server 2, but the database 3 may be built in the server 2.
  • the server 2 acquires the analysis result data and the physical property value of the sample
  • the server 2 stores the analysis result data and the physical property value in the database 3 in association with each sample.
  • Server 2 is connected to the Internet 7. Further, at least one analysis viewer 1 is connected to the Internet 7. As a result, the analysis viewer 1 can send and receive data to and from the server 2 in both directions via the Internet 7.
  • the communication network connecting the server 2 and the analysis viewer 1 is not limited to the Internet 7.
  • the analysis viewer 1 is configured to be able to display analysis result data and physical property values of a sample selected as a display target by a user (for example, an analyst). Specifically, when the analysis viewer 1 accepts the user's selection of the display target, the sample selected as the display target is stored in the database 3 by accessing the server 2 via the Internet 7. Obtain the analysis result data and physical property values of. The analysis viewer 1 displays the acquired analysis result data and physical property values on the display screen.
  • the analysis viewer 1 can display the analysis result data and the physical property values of the plurality of samples side by side on the display screen.
  • a display example in the analysis viewer 1 will be described later.
  • FIG. 2 is a diagram schematically showing a hardware configuration example of the information processing device 6, the server 2, and the analysis viewer 1.
  • the information processing device 6 includes a CPU (Central Processing Unit) 60 for controlling the entire analyzer 4 and a storage unit for storing programs and data, and operates according to the program. It is composed of.
  • CPU Central Processing Unit
  • the storage unit includes a ROM (Read Only Memory) 61, a RAM (Random Access Memory) 62, and an HDD (Hard Disk Drive) 65.
  • the ROM 61 can store a program executed by the CPU 60.
  • the RAM 62 can temporarily store data used during the execution of the program in the CPU 60, and can function as a temporary data memory used as a work area.
  • the HDD 65 is a non-volatile storage device, and can store information generated by the information processing device 6, such as measurement data by the device main body 5 and analysis results by the information processing device 6.
  • a semiconductor storage device such as a flash memory may be adopted.
  • the information processing device 6 further includes a communication interface (I / F) 66, an input unit 63, and a display unit 64.
  • the communication I / F 66 is an interface for the information processing device 6 to communicate with an external device including the device main body 5 and the server 2.
  • the input unit 63 receives an input including an instruction to the information processing device 6 from a user (for example, an analyst).
  • the input unit 63 includes a keyboard, a mouse, a touch panel integrally configured with the display screen of the display unit 64, and the like, and receives sample analysis conditions, identification information, and the like.
  • the display unit 64 can display, for example, the input screen of the analysis conditions and the identification information of the sample. During the analysis, the display unit 64 can display the measurement data detected by the apparatus main body 5 and the analysis result by the information processing apparatus 6.
  • the processing in the analyzer 4 is realized by each hardware and software executed by the CPU 60.
  • Such software may be pre-stored in the ROM 61 or HDD 65. Further, the software may be stored in a storage medium (not shown) and distributed as a program product. Then, the software is read from the HDD 65 by the CPU 60 and stored in the RAM 62 in a format executable by the CPU 60. The CPU 60 executes this program.
  • the server 2 includes a CPU 20 for controlling the entire device and a storage unit for storing programs and data, and is configured to operate according to the programs.
  • the storage unit includes a ROM 21, a RAM 22, and an HDD 25.
  • the ROM 21 can store a program executed by the CPU 20.
  • the RAM 22 can temporarily store data used during the execution of the program in the CPU 20, and can function as a temporary data memory used as a work area.
  • the HDD 25 is a non-volatile storage device and can store information transmitted from the information processing device 6.
  • the server 2 further includes a communication I / F 26, an input / output interface (I / O) 24, and an input unit 23.
  • the communication I / F 26 is an interface for the server 2 to communicate with an external device including the information processing device 6 and the analysis viewer 1.
  • the I / O 24 is an interface for input to the server 2 or output to the server 2.
  • the I / O 24 is connected to the database 3.
  • the database 3 is a memory for accumulating data transmitted and received between the server 2 and the information processing device 6.
  • the input unit 23 receives an input including an instruction from a user (for example, the administrator of the display system 100).
  • the input unit 23 includes a keyboard, a mouse, and the like, and receives information and the like regarding the physical property values of the sample.
  • the analysis viewer 1 includes a CPU 10 for controlling the entire device and a storage unit for storing a program and data, and is configured to operate according to the program.
  • the storage unit includes a ROM 11, a RAM 12, and an HDD 15.
  • the ROM 11 can store a program executed by the CPU 10.
  • the RAM 12 can temporarily store data used during the execution of the program in the CPU 10, and can function as a temporary data memory used as a work area.
  • the HDD 15 is a non-volatile storage device and can store information transmitted from the server 2.
  • the analysis viewer 1 further includes a communication I / F 16, an input unit 13, and a display unit 14.
  • the communication I / F 16 is an interface for the analysis viewer 1 to communicate with an external device including the server 2.
  • the input unit 13 receives an input including an instruction to the analysis viewer 1 from a user (for example, an analyst).
  • the input unit 13 includes a keyboard, a mouse, a touch panel integrated with the display screen of the display unit 14, and the like, and accepts selection of a display target and the like.
  • the display unit 14 can display, for example, an operation screen for selecting a display target.
  • the display unit 14 can further display analysis data such as the generated sample image.
  • the processing in the analysis viewer 1 is realized by the software executed by each hardware and the CPU 10.
  • Such software may be stored in the ROM 11 or the HDD 15 in advance. Further, the software may be stored in a storage medium (not shown) and distributed as a program product. Then, the software is read from the HDD 15 by the CPU 10 and stored in the RAM 12 in a format executable by the CPU 10. The CPU 10 executes this program.
  • FIG. 3 is a diagram schematically showing the functional configurations of the information processing device 6, the server 2, and the analysis viewer 1.
  • the information processing apparatus 6 includes an analysis data acquisition unit 67, a feature amount extraction unit 68, and an information acquisition unit 69. These functional configurations are realized by the CPU 60 executing a predetermined program in the information processing apparatus 6 shown in FIG.
  • the analysis data acquisition unit 67 acquires analysis data indicating the analysis result of the sample from the apparatus main body 5.
  • the analytical data includes chromatograms and mass spectra.
  • the analysis data includes image data showing a microscope image of a sample.
  • the analysis data acquisition unit 67 transfers the acquired analysis data to the feature amount extraction unit 68.
  • the feature amount extraction unit 68 extracts the feature amount of the sample by analyzing the analysis data transferred from the analysis data acquisition unit 67 using dedicated data analysis software.
  • the feature amounts of the sample include, for example, the components contained in the sample, the particle size of the particles having the components, the peak intensity and peak area of the spectrum, the absorbance, the reflectance, the test strength, the Young's modulus, the tensile strength, the amount of deformation, and the amount of strain.
  • the breaking time and the like are included.
  • the features include peak intensity and peak area.
  • the information acquisition unit 69 acquires the information received by the input unit 63. Specifically, the information acquisition unit 69 acquires sample identification information and information indicating sample analysis conditions.
  • the sample identification information includes, for example, a sample name, a name of a sample product, a model number, a serial number, and the like.
  • the analysis conditions of the sample include device parameters including the name and model number of the analyzer to be used, and measurement parameters indicating measurement conditions such as voltage and / or current application conditions or temperature conditions.
  • the communication I / F66 collectively transmits the acquired analysis data, analysis conditions and sample identification information, and the extracted feature amount to the server 2 as analysis result data.
  • the server 2 has an analysis result data acquisition unit 27, a physical characteristic value acquisition unit 28, and a synthesis unit 29. These functional configurations are realized by the CPU 20 executing a predetermined program in the server 2 shown in FIG.
  • the analysis result data acquisition unit 27 acquires the analysis result data transmitted from the information processing device 6 of each analysis device 4 via a communication I / F 26 (not shown).
  • the physical characteristic value acquisition unit 28 acquires information indicating the physical characteristic value of the sample received by the input unit 23.
  • the physical characteristic value of the sample is a value indicating the attribute of the sample obtained by other than the analysis by the analyzer 4, and for example, a value indicating the performance of the sample or a value indicating the degree of deterioration of the sample (years of use, etc.) is used. included.
  • the synthesis unit 29 associates the analysis result data (sample identification information, analysis conditions, analysis data and feature amount) with the physical property value for each sample.
  • the synthesis unit 29 stores these data associated with each sample in the database 3 via the I / O 24.
  • the server 2 stores the plurality of analysis result data in a batch in the database 3 in association with the physical property value.
  • at least one analysis result data and physical property value are accumulated in the database 3 for each sample.
  • the analysis viewer 1 includes a selection unit 17, a display data generation unit 18, and a display control unit 19. These functional configurations are realized by the CPU 10 executing a predetermined program in the analysis viewer 1 shown in FIG.
  • the selection unit 17 selects the target to be displayed on the analysis viewer 1 according to the user instruction received by the input unit 13.
  • the selection of the display target includes the selection of the sample and the selection of the attribute values (feature amount and physical property value) of the sample.
  • an operation screen for selecting a display target is displayed on the display screen of the analysis viewer 1.
  • Information indicating the contents of the data stored in the database 3 is displayed on the operation screen. The user can perform a selection operation using the input unit 13 on the operation screen.
  • the selection unit 17 selects at least two or more samples from a plurality of samples analyzed by at least one analyzer 4 of the plurality of analyzers 4 (see FIG. 1) according to a user's selection operation. Select. The selection unit 17 further selects attribute values (feature amount and physical property value) for at least two or more selected samples according to the user's selection operation.
  • the selection unit 17 corresponds to one embodiment of the "first selection means" and the "second selection means".
  • the display data generation unit 18 acquires the analysis result data and the physical property value of the sample selected as the display target from the database 3 by accessing the server 2 via the Internet 7.
  • the analysis result data includes the analysis data of the sample by at least one analysis device 4, the analysis conditions thereof, the sample identification information, and the feature amount of the sample extracted from the analysis data.
  • the analysis result data is associated with physical property values for each sample.
  • the display data generation unit 18 displays by extracting the analysis data of the analyzer 4 selected by the selection unit 17 and the feature amount and the physical property value of the sample from the analysis result data and the physical property value acquired from the database 3. Generate display data in a display format that can be displayed on the screen.
  • the display control unit 19 displays the display data generated by the display data generation unit 18 on the display screen of the display unit 14.
  • the display control unit 19 can change the display format according to the user instruction.
  • the display data generation unit 18 and the display control unit 19 correspond to an embodiment of the “display control means”.
  • FIG. 4 is a flowchart for explaining the display process in the analysis viewer 1.
  • the program according to the flowchart of FIG. 4 is stored in the ROM 11 of the analysis viewer 1 in advance. Processing is realized when the CPU 10 executes the program.
  • the analysis viewer 1 When the analysis viewer 1 receives an instruction to start the display operation in the input unit 13, the analysis viewer 1 starts the display process shown in FIG. First, the analysis viewer 1 displays an operation screen for selecting a display target on the display unit 14 in step S10. 5 and 6 are views showing an example of an operation screen.
  • the operation screen can be generated based on the data stored in the database 3.
  • icons 102 and 104 for selection operations and icons 105 for display operations are displayed.
  • the sample selection operation screen shown in FIG. 5 is displayed.
  • a list of samples analyzed by any of the plurality of analyzers 4 is displayed in the form of a table.
  • sample names Sample01 to Sample04
  • the product name or lot number of the sample may be displayed in the sample identification information. In the following description, it is assumed that the four samples are tires.
  • the user can narrow down the number of samples displayed in the display area 110 by operating the operation screen of FIG. 5 using the input unit 13. can.
  • the user can narrow down the number of samples by using the analyzer as a clue.
  • an icon 113 for narrowing down the number of samples is arranged in the display area 112 of the operation screen.
  • the icon 113 shows a list of types of the plurality of analyzers 4.
  • the user can select the analysis device 4 by clicking the analysis device 4 corresponding to the analysis data to be displayed. At this time, the user can select two or more analyzers 4 at the same time. Further, by clicking "all" in the icon 113, all of the plurality of analyzers 4 can be selected.
  • the analyzer 4 is selected by the icon 113, the samples analyzed by the selected analyzer 4 are extracted in the display area 110, and the list of the extracted samples is displayed in the form of a table. Become.
  • the type of at least one analyzer 4 used for the analysis is also displayed for each sample.
  • the analyzer 4 used for the analysis For example, for the sample having the sample name "Sample01”, LC, GC-MS, and TEM are shown as the analyzer 4 used for the analysis.
  • LC, GC-MS, and TEM are shown as the analyzer 4 used for the analysis.
  • sample with the sample name "Sample02” For the sample with the sample name "Sample02”, GC-MS and TEM are shown.
  • the attribute value for each sample is displayed in the display area 114 of the operation screen.
  • the attribute value of the sample includes the physical property value of the sample.
  • the glass transition temperature (Tg) of the tire and the mechanical loss coefficient (rolling coefficient tan ⁇ ) at a high temperature (around 60 ° C.) are displayed as the physical property values of the sample. Since the physical property value is an attribute value given from the outside of the display system 100, it may not have the physical property value depending on the sample. In addition, the types of physical property values may differ between samples.
  • samples can be selected by checking the check boxes arranged side by side in each sample name (check marks in FIG. 5).
  • the feature amount selection operation screen shown in FIG. 6 is displayed on the display unit 14.
  • a list of a plurality of templates created in advance is displayed in the area 116 of the operation screen for selecting the feature amount.
  • a total of nine templates are displayed in the form of icons.
  • the feature amount that can be extracted from the analysis data is specified for each analyzer 4. For example, when the icon 119 indicating "template 09" is clicked, the image 118 indicating the contents of the template 09 is displayed on the operation screen. Image 118 of template 09 shows the particle size ( ⁇ m) of the filler contained in the tire, which is a feature amount extracted from the TEM analysis data (TEM image), and the GC-MS analysis data (mass chromatogram). The peak area of styrene (Stylene), which is a feature amount extracted from, is specified.
  • the physical property value can be specified together with the feature amount.
  • the glass transition temperature (Tg) of the tire, the mechanical loss coefficient (rolling coefficient tan ⁇ ) at a high temperature (around 60 ° C.), and the resin compounding amount are specified as the physical property values of the tire.
  • the user can create a template in advance that specifies the attribute values (feature amount and physical property value) of the sample. As shown in FIG. 6, by creating a plurality of types of templates, it is possible to simplify the operation of selecting the feature amount and the physical property value. In the example of FIG. 6, the feature amount and the physical characteristic value can be selected by the user clicking the icon 119 indicating the template of any one of the nine templates.
  • the sample, the feature amount, and the physical property value to be displayed are selected according to the selection operation in steps S20 to S40.
  • the analysis viewer 1 proceeds to step S50 and generates display data. Specifically, the analysis viewer 1 acquires the analysis result data and the physical property values of the sample selected in step S30 from the database 3 by accessing the server 2 via the Internet 7.
  • the analysis viewer 1 extracts the feature amount and the physical characteristic value of the sample selected in step S40 from the acquired physical characteristic value for each sample.
  • the analysis viewer 1 generates display data based on the extracted data in step S50.
  • step S60 displays the generated display data on the display screen of the display unit 14.
  • do. 7 to 15 are diagrams schematically showing an example of a display screen of the analysis viewer 1.
  • the analysis viewer 1 is configured so that the display format of the display data can be switched according to the user's instruction.
  • the first to ninth display screen examples shown below are based on a plurality of display formats included in the analysis viewer 1. Therefore, the analysis viewer 1 can appropriately switch the first to ninth display screen examples according to the user's instruction.
  • a display area is set for each sample selected as a display target.
  • the display area 121 is set for the sample with the sample name “Sample01”
  • the display area 122 is set for the sample with the sample name “Sample02”
  • the sample is displayed for the sample “Sample03”.
  • Area 123 is set.
  • a plurality of display areas 121, 122, and 123 corresponding to the plurality of samples Sample01 to Sample03 are displayed in a list.
  • the plurality of display areas 121 to 123 together constitute a "list display area" for displaying a list of display areas for each sample.
  • the user can scroll the plurality of display areas 121 to 123 displayed in the list display area in the vertical direction (corresponding to the vertical direction of the paper).
  • the sample identification information, the analysis data by the analyzer 4, and the attribute values (feature amount and physical property value) of the sample are collectively displayed.
  • the sample name “Sample 01” which is the sample identification information, the TEM image 124 which is the analysis data, and the table 126 which summarizes the feature amount and the physical property value of the sample are displayed. ..
  • Icons 131 to 134 correspond to SEM images, TEM images, mass spectra (MS), and chromatograms, respectively. In the example of FIG. 7, it is assumed that a TEM image is displayed in each display area in response to the user clicking the icon 132.
  • the display of the icons 131 to 134 is not limited to this, and can be appropriately changed so as to correspond to the analysis data of the analyzer 4 selected as the display target.
  • the display of the icon 131 can be omitted.
  • an icon 135 for a filter for selecting the analysis data displayed in each display area is further arranged.
  • the icon 135 can be used to select the analysis result to be displayed in the display area when the analysis data contains a plurality of analysis results.
  • three TEM images 124 are arranged side by side in the left-right direction (corresponding to the horizontal direction of the paper surface) in the display area 121.
  • the cursors 125 arranged at both ends of the TEM image 124 in the left-right direction all the TEM images 124 included in the analysis data can be scrolled and displayed in the left-right direction.
  • analysis conditions for each image such as an observation magnification can be described together.
  • the cursor 125 in the display area 121 is clicked to scroll the TEM image 124, the TEM images displayed in the other display areas 122 and 123 also follow the TEM image 124 in the display area 121. It can be configured to be scrolled as shown above.
  • Table 126 shows the feature amounts (filler particle size) and physical property values (Tg, high-temperature tan ⁇ , and resin compounding amount) selected for display. According to this, the user can simultaneously refer to the analysis data by the analyzer 4 and the attribute values (feature amount and physical property value) for one sample.
  • the display area 122 and the display area 123 have the same configuration as the display area 121. That is, on the display screen, analysis data of the same type, feature quantities of the same type, and physical property values are displayed side by side for a plurality of samples to be displayed. According to this, the user can compare and refer to the same type of analysis data among a plurality of samples. In addition, the user can compare and refer to the same type of feature quantity and physical property value among a plurality of samples.
  • the second display screen example shown in FIG. 8 differs from the first display screen example shown in FIG. 7 only in the display format of the analysis data. Therefore, the description will not be repeated for the portion similar to the first display screen example.
  • all the analysis data (all TEM images 124) acquired by the analyzer 4 are arranged in a matrix. According to this, the user can grasp the whole analysis data by the analyzer 4 for each sample. By clicking the cursor 127 provided at the end of each display area in the horizontal direction, all the analysis data can be scrolled and displayed in the vertical direction.
  • the third display screen example shown in FIG. 9 is derived from the second display screen example shown in FIG.
  • a user performs an operation of selecting one TEM image 124 on the display screen shown in FIG. 8
  • an enlarged image 128 of the selected TEM image 124 is displayed in the center portion of the screen as shown in FIG. Is displayed. This allows the user to retrieve and view the analytical data of interest.
  • FIG. 9 the case where one TEM image 124 is selected is illustrated, but when two or more TEM images 124 are selected, each TEM image 124 may be enlarged and displayed.
  • an icon 129 for canceling the display of the enlarged image 128 is arranged in the right corner of the image 128, in the right corner of the image 128, an icon 129 for canceling the display of the enlarged image 128 is arranged. By clicking the icon 129, it is possible to return to the display screen example of FIG.
  • the fourth display screen example shown in FIG. 10 differs from the first display screen example shown in FIG. 7 only in the display format of the analysis data. Therefore, the description will not be repeated for the portion similar to the first display screen example.
  • the icon 130 for selecting a part of the plurality of analysis results included in the analysis data is displayed on the display screen.
  • the analysis data includes a plurality of TEM images 124
  • the icon 130 is used to set a condition for selecting the TEM image 124 to be displayed in the display area from the plurality of TEM images 124 for each sample.
  • analysis conditions acceleration voltage of TEM, observation magnification, etc.
  • selection conditions can be arbitrarily set by the user using the input unit 13.
  • the fifth display screen example shown in FIG. 11 differs from the second display screen example shown in FIG. 8 only in that it has a display area 136. Therefore, the description will not be repeated for the portion similar to the second display screen example.
  • the analysis conditions related to the analysis data are displayed in the display area 136 of the fifth display screen example. Specifically, when one TEM image is selected from the plurality of TEM images 124 displayed on the display screen, the analysis conditions related to the selected TEM image are displayed in the display area 136. In the example of FIG. 11, it is assumed that one TEM image 124 is selected from a plurality of TEM images 124 of the sample having the sample name “Sample 01”. In this case, the display area 136 displays the measurement parameters for obtaining the selected TEM image 124. In the example of FIG. 11, the acceleration voltage of the TEM, the observation magnification, and the device used are displayed.
  • the sixth display screen example shown in FIG. 12 is different from the first to fifth display screen examples in that it has display areas 140, 141, 144 instead of the display areas 121 to 123.
  • the analysis data of a plurality of samples selected as display targets are displayed side by side.
  • the TEM image 124 of the sample with the sample name "Sample01”, the TEM image 124 of the sample with the sample name "Sample02", and the TEM image 124 of the sample with the sample name "Sample03" are displayed side by side in the left-right direction. There is.
  • the TEM images 124 of each sample have the same analysis conditions. According to this, it becomes easy to compare the same type of analysis data (TEM image) among a plurality of samples.
  • a comparison table 142 of the physical property values and the feature amounts of a plurality of samples is displayed.
  • the physical property values and the feature amounts are shown adjacent to the TEM image 124 for each sample. According to this, it becomes easy to compare the same kind of physical property values and feature quantities among a plurality of samples.
  • FIG. 12 shows a case where the TEM image 124 of the sample having the sample name “Sample02” is selected.
  • a plurality of TEM images 124 of the sample can be scrolled and displayed in the left-right direction.
  • the TEM images of other samples may also be scrolled and displayed so as to follow the TEM image 124 of the sample.
  • the measurement parameters of the selected TEM image 124 are displayed in the display area 144. According to this, the user can further see other TEM images 124 for the sample of interest among the plurality of samples.
  • the seventh screen display example shown in FIG. 13 is different from the first display screen example shown in FIG. 1 in that the type of analysis data displayed in the display area of each sample is different. Therefore, the description will not be repeated for the portion similar to the first display screen example.
  • the user when the user clicks the icon 134, the user can switch to the seventh display screen example shown in FIG.
  • the chromatogram 150 is displayed in the display area 121 of the sample having the sample name “Sample01”.
  • a plurality of chromatograms 150 can be scrolled and displayed in the vertical direction.
  • Analytical conditions such as intensity and time can be added to each chromatogram.
  • the cursor 152 in the display area 121 is clicked to scroll the chromatogram 150, the chromatograms displayed in the other display areas 122 and 123 also follow the chromatogram 150 in the display area 121. It can be configured to be scrolled as shown above.
  • the analysis viewer 1 is configured to be able to switch and display a plurality of types of analysis data for one sample. According to this, the user can refer to a plurality of types of analysis data associated with one sample with a simple operation, so that the analysis work can be performed efficiently.
  • the display area 122 and the display area 123 have the same configuration as the display area 121, as in the first display screen example. That is, on the display screen, the same type of analysis data (chromatogram) is displayed side by side for a plurality of samples to be displayed. Therefore, the user can compare the same type of analytical data among a plurality of samples.
  • chromatogram chromatogram
  • the eighth display screen example shown in FIG. 14 is derived from the seventh display screen example shown in FIG.
  • the analysis conditions related to the selected chromatogram 150 are displayed in the display area 154 of the display screen.
  • the display area 154 displays measurement parameters and device parameters for obtaining the selected chromatogram 150.
  • the ninth display screen example shown in FIG. 15 shows a display screen example when the analysis data of the analyzer 4 selected as the display target does not exist.
  • the analysis data of the analyzer 4 selected as the display target does not exist.
  • each of the sample having the sample name “Sample01” and the sample having the sample name “Sample02” has not been analyzed by SEM.
  • the analyzer 4 to be displayed contains SEMs, the SEM images of these samples do not exist. Therefore, as shown in FIG. 15, a message notifying that the SEM image does not exist is displayed in the display areas 121 and 122 of each sample. For example, the message "There is no SEM data that can be displayed" is displayed in the display areas 121 and 122.
  • the analysis viewer 1 displays the display data on the display screen of the display unit 14 in step S60, then proceeds to step S70 and receives the user instruction for changing the display format in the input unit 13.
  • Judge whether or not As described with reference to the display screen examples of FIGS. 7 to 15, icons (cursor 125, 127, 152, icons 131 to 134, 135, etc.) for changing the display format are displayed on the display screen. The user can switch the display format by clicking these icons.
  • the analysis viewer 1 When the input unit 13 receives the user instruction for changing the display format (YES in S60), the analysis viewer 1 returns to the process of step S50 and changes the display data according to the user instruction. The analysis viewer 1 displays the changed display data on the display screen of the display unit 14 in step S60.
  • the analysis viewer 1 also determines in step S80 whether or not the input unit 13 has received a user instruction for changing the display target.
  • icons 102 and 104 for selecting a display target are displayed on the display screen.
  • the display unit 14 switches from the display screen of FIG. 7 to the operation screen for sample selection shown in FIG. The user can perform a selection operation for changing the sample to be displayed on the operation screen.
  • the display screen of FIG. 7 is switched to the operation screen for feature amount selection shown in FIG.
  • the user can change the feature amount and the physical property value to be displayed by performing a selection operation for changing the template 119 on the operation screen.
  • the analysis viewer 1 When the input unit 13 receives the user instruction (clicking the icons 102 and 104) for changing the display target (YES in S80), the analysis viewer 1 returns to the process of step S10 and displays the figure on the display unit 14. 5 or the operation screen of FIG. 6 is displayed.
  • the analysis viewer 1 receives the user's selection operation, it executes the processes of steps S30 and S40 again to select the sample, the feature amount, and the physical property value to be displayed after the change.
  • the analysis viewer 1 When the analysis viewer 1 generates the display data in step S50, the analysis viewer 1 displays the generated display data on the display screen of the display unit 14 in step S60.
  • the analysis viewer 1 it is possible to display a plurality of analysis results associated with one sample (see FIGS. 7 and 13). As a result, the user can compare and refer to a plurality of analysis results for one sample with a simple operation.
  • the same type of analysis results can be displayed side by side for a plurality of samples (see FIG. 12). This allows the user to compare and refer to the same type of analysis results among a plurality of samples.
  • the attribute values (feature amount and physical property value) of the sample can be displayed together with the analysis result for each sample (see FIGS. 7 to 14).
  • the user can refer to each sample at the same time as the analysis result and the attribute value.
  • the display format of the analysis result of each sample can be switched (see FIGS. 7 to 10).
  • the user can freely change the display format of the analysis result according to the content of the analysis work.
  • the analysis viewer 1 can improve the convenience of the user who performs the analysis work of the analysis result by the plurality of analyzers. As a result, it is possible to facilitate cross-sectional analysis of analysis results by a plurality of analyzers, which can contribute to the realization of efficient and highly accurate analysis.
  • Such viewing restrictions can be set for each sample on the server 2, for example, by the administrator of the display system 100.
  • the analyst can set viewing restrictions for each sample in the analyzer 4. Therefore, the administrator or the analyst can conceal the analysis result according to the necessity in information management by setting a user who can view the analysis result for each sample.
  • the analysis viewer 1 may further include a configuration for switching the analysis data individually displayed in the display area for each sample. In this configuration, when the analysis viewer 1 switches the analysis data displayed in the display area for one sample, the analysis data displayed in the display area for the other samples is switched so as to follow the analysis data. It may be configured.
  • a template feature quantity and physical property value
  • the analysis viewer 1 has a mode in which a template (feature amount and physical property value) is commonly selected for a plurality of samples on an operation screen for feature quantity selection (see FIG. 6), and a plurality of samples. It has a mode for individually selecting a template for the user, and may be configured to switch the mode according to an instruction from the user.
  • the user can compare the same type of analysis data, feature amount and physical property value among a plurality of samples by switching the mode, and for each sample, a plurality of types of analysis data and a plurality of types of feature amounts. And it is possible to compare multiple types of physical property values.
  • the analysis viewer is a communication unit that receives analysis results by a plurality of types of analyzers that output different types of analysis results for each of a plurality of samples, and a communication unit that receives the analysis results.
  • a display unit for displaying the analysis result, a control unit for controlling the display unit, and a first selection means for selecting at least two or more display target samples from a plurality of samples are provided.
  • the display unit includes a display area for displaying analysis results by a plurality of types of analyzers for each of at least two or more display target samples, and at least two or more display areas corresponding to at least two or more display target samples.
  • the analysis results for at least two or more samples can be displayed side by side, so that the user can compare and refer to the analysis results of the same type among a plurality of samples. Can be done. As a result, it is possible to facilitate cross-sectional analysis of the analysis results by a plurality of types of analyzers.
  • control unit is configured to be able to acquire the feature amount and the physical property value for each sample.
  • the analysis viewer further includes a second selection means for selecting a feature amount and a physical property value to be displayed for at least two or more display target samples selected by the first selection means. In the display area, the feature amount and the physical property value selected by the second selection means are displayed side by side with the analysis result for each display target sample.
  • the attribute values (feature amount and physical property value) of the sample can be displayed together with the analysis result for each sample, so that the user can display the analysis result and the analysis result for each sample. You can refer to the attribute value at the same time. In addition, it becomes possible to compare the feature quantities among a plurality of samples.
  • the feature amount includes the attribute value of the sample extracted from the analysis result for each sample.
  • the physical characteristic value includes the attribute value of the sample obtained from information other than the analysis result for each sample.
  • the user can simultaneously refer to the analysis result and the feature amount and / or the physical property value for each sample. In addition, it becomes possible to compare the feature quantities among a plurality of samples.
  • the second selection means commonly selects the feature amount and the physical property value for at least two or more display target samples.
  • the display area displays an icon for accepting an operation of switching the display of the analysis result for each display target sample.
  • the control unit switches and displays the analysis result based on the operation of the icon.
  • the user can easily switch the display of the analysis result by operating the icon, which is convenient for the user who analyzes the analysis result by a plurality of types of analyzers. Can be improved.
  • the user can switch the analysis result to be displayed at once for at least two or more samples by operating the icon.
  • the analysis viewer described in Section 6 the user can switch the analysis result to be displayed at once for at least two or more samples by operating the icon.
  • the display system includes a plurality of analyzers and an analysis viewer according to any one of items 1 to 6.
  • the display method is a display method for displaying analysis results by a plurality of types of analyzers different from each other on an analysis viewer, and a plurality of types of analyzers are used for each of a plurality of samples. It includes a step of receiving the analysis result by the above method and a step of displaying the received analysis result on the analysis viewer.
  • the display step is a step of selecting at least two or more display target samples from a plurality of samples, and a step of displaying the analysis results of at least two or more display target samples in the display area by a plurality of types of analyzers. And a step of listing at least two or more display areas corresponding to at least two or more display target samples, respectively.
  • the display program is a display program for displaying analysis results by a plurality of types of analyzers different from each other on an analysis viewer, and a plurality of types of each of a plurality of samples are displayed on a computer.
  • the step of receiving the analysis result by the analyzer and the step of displaying the received analysis result on the analysis viewer are executed.
  • the display step is a step of selecting at least two or more display target samples from a plurality of samples, and a step of displaying the analysis results of at least two or more display target samples in the display area by a plurality of types of analyzers. And a step of listing at least two or more display areas corresponding to at least two or more display target samples, respectively.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)
  • User Interface Of Digital Computer (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
PCT/JP2021/008901 2020-04-30 2021-03-08 解析用ビューア、表示システム、表示方法および表示プログラム Ceased WO2021220617A1 (ja)

Priority Applications (4)

Application Number Priority Date Filing Date Title
DE112021002523.6T DE112021002523T5 (de) 2020-04-30 2021-03-08 Analyseansichtsgerät, Anzeigesystem, Anzeigeverfahren und Anzeigeprogramm
US17/922,442 US20230195279A1 (en) 2020-04-30 2021-03-08 Viewer for analysis, display system, display method, and display program
JP2022517527A JP7547472B2 (ja) 2020-04-30 2021-03-08 解析用ビューア、表示システム、表示方法および表示プログラム
CN202180031632.2A CN115461624A (zh) 2020-04-30 2021-03-08 解析用浏览器、显示系统、显示方法和显示程序

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020-080347 2020-04-30
JP2020080347 2020-04-30

Publications (1)

Publication Number Publication Date
WO2021220617A1 true WO2021220617A1 (ja) 2021-11-04

Family

ID=78373608

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/008901 Ceased WO2021220617A1 (ja) 2020-04-30 2021-03-08 解析用ビューア、表示システム、表示方法および表示プログラム

Country Status (5)

Country Link
US (1) US20230195279A1 (https=)
JP (1) JP7547472B2 (https=)
CN (1) CN115461624A (https=)
DE (1) DE112021002523T5 (https=)
WO (1) WO2021220617A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023114268A (ja) * 2022-02-04 2023-08-17 株式会社島津製作所 赤外ラマン顕微鏡

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007078508A (ja) * 2005-09-14 2007-03-29 Sysmex Corp 分析装置及び検体情報処理プログラム
JP2009539078A (ja) * 2006-06-01 2009-11-12 エフ ホフマン−ラ ロッシュ アクチェン ゲゼルシャフト サンプルテスト結果およびそれぞれの結果コンテキスト情報を管理するシステムおよび方法
JP2010078371A (ja) * 2008-09-24 2010-04-08 Olympus Corp 測定結果表示方法および分析装置
WO2012128345A1 (ja) * 2011-03-24 2012-09-27 シスメックス株式会社 検体分析装置、検体情報処理装置および検体分析方法
WO2019111310A1 (ja) * 2017-12-05 2019-06-13 株式会社島津製作所 自動分析システム

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4649188B2 (ja) * 2004-12-09 2011-03-09 シスメックス株式会社 測定装置の測定結果管理方法、測定システム、測定装置用データ処理装置、及びコンピュータプログラム
US20070101273A1 (en) * 2005-10-27 2007-05-03 Lin Linda X System and method for viewing and screening of chemical data from different sources
CN102124347B (zh) * 2008-09-03 2014-10-15 株式会社日立高新技术 自动分析装置
US20120265487A1 (en) * 2011-04-15 2012-10-18 Bruker Nano, Inc. Method and Apparatus of Analyzing Sample Surface Data
JP2013148992A (ja) * 2012-01-18 2013-08-01 Shimadzu Corp ネットワーク型分析装置システム及び同システム用ファイル管理プログラム
JP6515548B2 (ja) * 2015-01-22 2019-05-22 東ソー株式会社 クロマトグラフ用データ処理システムおよびクロマトグラムの検索方法
JP6117900B1 (ja) * 2015-11-27 2017-04-19 シスメックス株式会社 検体検査システム、情報処理装置、情報処理方法、およびプログラム
JP6638537B2 (ja) 2016-04-21 2020-01-29 株式会社島津製作所 試料解析システム
US10607724B2 (en) * 2016-08-10 2020-03-31 Sysmex Corporation Information processing apparatus and method for clinical laboratory management
JP7043319B2 (ja) * 2018-03-29 2022-03-29 シスメックス株式会社 精度管理用指標の生成方法、精度管理用指標の生成装置、検体分析装置、精度管理データ生成システム及び精度管理データ生成システムの構築方法
JP6845199B2 (ja) * 2018-09-28 2021-03-17 シスメックス株式会社 表示方法、検体分析装置、コンピュータプログラムおよび記録媒体
JP6954949B2 (ja) * 2019-04-26 2021-10-27 日本電子株式会社 自動分析装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007078508A (ja) * 2005-09-14 2007-03-29 Sysmex Corp 分析装置及び検体情報処理プログラム
JP2009539078A (ja) * 2006-06-01 2009-11-12 エフ ホフマン−ラ ロッシュ アクチェン ゲゼルシャフト サンプルテスト結果およびそれぞれの結果コンテキスト情報を管理するシステムおよび方法
JP2010078371A (ja) * 2008-09-24 2010-04-08 Olympus Corp 測定結果表示方法および分析装置
WO2012128345A1 (ja) * 2011-03-24 2012-09-27 シスメックス株式会社 検体分析装置、検体情報処理装置および検体分析方法
WO2019111310A1 (ja) * 2017-12-05 2019-06-13 株式会社島津製作所 自動分析システム

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023114268A (ja) * 2022-02-04 2023-08-17 株式会社島津製作所 赤外ラマン顕微鏡
JP7735884B2 (ja) 2022-02-04 2025-09-09 株式会社島津製作所 赤外ラマン顕微鏡

Also Published As

Publication number Publication date
JPWO2021220617A1 (https=) 2021-11-04
CN115461624A (zh) 2022-12-09
DE112021002523T5 (de) 2023-04-06
US20230195279A1 (en) 2023-06-22
JP7547472B2 (ja) 2024-09-09

Similar Documents

Publication Publication Date Title
Monroe et al. MASIC: A software program for fast quantitation and flexible visualization of chromatographic profiles from detected LC–MS (/MS) features
US8265905B2 (en) Automated benchmarking of software performance
JP5835135B2 (ja) 分析データ表示処理装置
CN103389345A (zh) 色谱质谱分析用数据处理系统
JP2011510300A5 (https=)
US20100223556A1 (en) Operational status display system for analyzing apparatus
US8484566B2 (en) Analyzing a form page for indexing
JP6485556B2 (ja) 分析情報管理システム
US8629873B2 (en) Data analysis system
JP7377970B2 (ja) 複合計測統合ビューアおよびプログラム
JP7547472B2 (ja) 解析用ビューア、表示システム、表示方法および表示プログラム
US20070101273A1 (en) System and method for viewing and screening of chemical data from different sources
JP7388547B2 (ja) 複合分析データ管理システム、複合分析データ管理方法および複合分析データ管理プログラム
JP2004317177A (ja) 機器分析用データ管理装置
JP2018040655A (ja) 質量分析用データ処理装置
JP2010032277A (ja) 機器分析データ処理装置
US20240296203A1 (en) Data processing method, data processing apparatus, and non-transitory computer-readable storage medium
US20230186158A1 (en) Method for generating teaching data in analysis data management system
US8838397B1 (en) Representing a plot with a mini-plot
CN1301959A (zh) 用于光谱测定的系统
US20240320192A1 (en) Data processing method, data processing apparatus, and non-transitory computer-readable storage medium
US20240320235A1 (en) Data processing method, data processing apparatus, and non-transitory computer-readable storage medium
JP7678546B2 (ja) 解析システム、解析方法及びプログラム
US20250067709A1 (en) Setting method and setting device
JP6777096B2 (ja) 顕微画像分析装置用管理プログラム及び顕微画像分析装置用管理装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21796392

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2022517527

Country of ref document: JP

Kind code of ref document: A

122 Ep: pct application non-entry in european phase

Ref document number: 21796392

Country of ref document: EP

Kind code of ref document: A1