Information processing apparatus, information processing method, information processing program, and information processing system

Abstract

The present application relates to an information processing apparatus, an information processing method, an information processing program, and an information processing system, which make it easy to visually recognize information related to a hole. The information processing apparatus includes an acquisition unit that acquires an observation result obtained by photographing a plurality of objects under a prescribed observation condition, and a display control unit that, for a display image related to a container having a plurality of storage portions that respectively store the plurality of objects, explicitly indicates a storage portion of the container that belongs to a group corresponding to a classification reference selected by a user.

Description

[0001] This application is a divisional application of Chinese Patent Application No. 201980100801.6, which entered the national phase on March 25, 2022, filed internationally on September 27, 2019, and has PCT international application number PCT / JP2019 / 038163, entitled "Information Processing Apparatus, Information Processing Method, Information Processing Program and Information Processing System". Technical Field

[0002] This invention relates to information processing apparatus, information processing method, information processing program, and information processing system. Background Technology

[0003] Patent Document 1 discloses a technique for calculating cell density based on images of cell colonies, using the area of ​​the colonies and the number of cells contained within those colonies. However, the analysis results obtained using this technique become enormous due to daily analysis, thus a technique is sought that allows users to easily visually identify these results. Existing technical documents Patent documents

[0004] Patent Document 1: International Publication No. 2015 / 193951 Summary of the Invention

[0005] According to a first aspect, an information processing apparatus is provided, comprising: an acquisition unit that acquires observation results obtained by photographing multiple objects under specified observation conditions; and a display control unit that, for a display image relating to a container having multiple receiving parts, clearly indicates the receiving parts of a container belonging to a group corresponding to a classification criterion selected by a user, wherein the multiple receiving parts each receive multiple objects.

[0006] According to a second aspect, an information processing method is provided, comprising: acquiring observation results obtained by photographing multiple objects under specified observation conditions; and, for a display image relating to a container having multiple containment sections, indicating the containment sections of a container belonging to a group corresponding to a classification criterion selected by a user, wherein the multiple containment sections contain multiple objects respectively.

[0007] According to a third aspect, an information processing program is provided that causes a computer to perform the following processing: acquiring observation results obtained by photographing multiple objects under specified observation conditions; and, for a display image relating to a container having multiple containment sections, indicating the containment sections of a container belonging to a group corresponding to a classification criterion selected by a user, wherein the multiple containment sections each contain multiple objects.

[0008] According to a fourth aspect, an information processing system is provided that outputs display images to a user terminal via cloud computing. The information processing system includes a server comprising: an acquisition unit that acquires observation results obtained by photographing multiple objects under specified observation conditions; an image generation unit that, for display images relating to containers having multiple receiving parts, clearly indicates the receiving parts of containers belonging to groups corresponding to classification criteria selected by a user of the user terminal, wherein the multiple receiving parts each receive multiple objects; and an output unit that outputs the display images generated by the image generation unit to the user terminal via a network.

[0009] According to a fifth aspect, an information processing apparatus is provided, comprising: an acquisition unit that acquires observation results obtained by photographing multiple objects contained in a container having multiple containment sections under specified observation conditions; and a registration unit that registers two or more containment sections into the same group based on classification criteria obtained from the observation conditions or observation results and the observation results.

[0010] According to a sixth aspect, an information processing method is provided, comprising: acquiring observation results obtained by photographing multiple objects contained in a container having multiple containment sections under specified observation conditions; and registering two or more containment sections into the same group based on classification criteria obtained from the observation conditions or observation results and the observation results.

[0011] According to the seventh aspect, an information processing program is provided that enables a computer to perform the following processing: acquiring observation results obtained by photographing multiple objects contained in a container having multiple containment sections under specified observation conditions; and registering two or more containment sections into the same group based on classification criteria obtained from the observation conditions or observation results, and the observation results.

[0012] According to the eighth aspect, an information processing system is provided that performs processing via cloud computing. The information processing system includes a server, which includes: an acquisition unit that acquires observation results obtained by photographing multiple objects contained in a container having multiple containment sections under specified observation conditions; and a registration unit that registers two or more containment sections into the same group based on classification criteria obtained from the observation conditions or observation results and the observation results. Attached Figure Description

[0013] Figure 1 This is a diagram illustrating an overall configuration example of the parsing system including the information processing apparatus of the first embodiment. Figure 2 This is a diagram illustrating an example of the configuration of a culture system connected to an information processing device according to the first embodiment. Figure 3 This is a block diagram illustrating an example configuration of a culture system connected to an information processing device according to the first embodiment. Figure 4 This is a diagram illustrating an example of the connection relationships around the control unit of the culture system connected to the information processing device in the first embodiment. Figure 5 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the first embodiment. Figure 6 This is a diagram illustrating an example of information stored in the storage device of the first embodiment. Figure 7 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 8 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 9 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 10 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 11 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 12 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 13 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 14 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 15 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 16 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 17 This is a diagram showing an example of a group registration screen in the first embodiment. Figure 18 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the first embodiment. Figure 19 This is a flowchart illustrating an example of the process for switching the display of the observed image in the first embodiment. Figure 20 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the second embodiment. Figure 21 This is a diagram showing an example of a plate map of the second embodiment. Figure 22 This is a diagram illustrating an example of a panel view of the second embodiment. Figure 23This is a diagram illustrating a clear example of the housing section in the second embodiment. Figure 24 This is a diagram illustrating a clear example of the housing section in the second embodiment. Figure 25 This is a diagram illustrating a clear example of the housing section in the second embodiment. Figure 26 This is a diagram illustrating a clear example of the housing section in the second embodiment. Figure 27 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the second embodiment. Figure 28 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the third embodiment. Figure 29 This is a diagram showing an example of a panel diagram of the third embodiment. Figure 30 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the third embodiment. Figure 31 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the fourth embodiment. Figure 32 This is a diagram showing an example of a panel diagram of the fourth embodiment. Figure 33 This is a diagram showing an example of a panel diagram of the fourth embodiment. Figure 34 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the fourth embodiment. Figure 35 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the fifth embodiment. Figure 36 This is a diagram showing an example of a panel diagram of the fifth embodiment. Figure 37 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the fifth embodiment. Figure 38 This is a diagram illustrating an example of the configuration of the information processing system according to the sixth embodiment. Explanation of reference numerals in the attached figures 100: Information processing device; 110: Storage device; 121: Input unit; 122: Display unit; 131: Communication unit; 132: Acquisition unit; 133: Display control unit; 134: Calculation unit; 135: Registration unit. Detailed Implementation

[0014] The embodiments will now be described with reference to the accompanying drawings. In the drawings, for the purpose of illustrating the embodiments, some parts are sometimes enlarged or emphasized, and the scale is appropriately changed to represent the embodiments. Therefore, the size and shape of the drawings may differ from those of the actual product.

[0015] [First Implementation] The first embodiment will be described. Figure 1 This is a diagram illustrating an overall configuration example of the parsing system including the information processing apparatus of the first embodiment. (See diagram for example.) Figure 1 As shown, the analysis system 1000 includes a culture system BS, an information processing device 100, and a storage device 110. The culture system BS includes a culture device 8 and an observation device 5. The analysis system 1000 is a system for culturing objects (e.g., cells, samples, specimens, etc.), observing (capturing) the culture process, and analyzing the observation results (e.g., capturing images).

[0016] The culture system BS, information processing device 100, and storage device 110 are connected via networks such as the Internet, LAN (Local Area Network), and WAN (Wide Area Network). Alternatively, the culture system BS, information processing device 100, and storage device 110 can be connected via a combination of the Internet, LAN, and WAN. This network is not limited to wired communication networks but may also include wireless communication networks. Furthermore, the information processing device 100 may be configured to include the storage device 110. Additionally, the culture system BS and storage device 110 can also be connected via a network.

[0017] Figure 2 This is a diagram illustrating an example of the configuration of a culture system connected to an information processing device according to the first embodiment. Figure 3 This is a block diagram illustrating an example configuration of a culture system connected to an information processing device according to the first embodiment. Figure 4 This is a diagram illustrating an example of the connection relationships around the control unit of the culture system connected to the information processing device in the first embodiment.

[0018] Broadly speaking, the culture system BS includes: a culture chamber 2 located in the upper part of the housing 1; a storage rack 3 for housing and holding multiple culture containers 10; an observation device 5 for observing (photographing) objects inside the culture containers 10; and a transport unit (transport device) 4 for transporting the culture containers 10. In addition, the culture system BS also includes a control unit (control device) 6 for controlling the operation of the system, and an operation panel 7 equipped with a display device. Furthermore, the culture chamber 2, storage rack 3, and transport unit 4 are equivalent to a culture device 8.

[0019] Culture chamber 2 is a cavity that creates a culture environment for cells and other objects observed under a microscope. Culture chamber 2 is equipped with a temperature control device 21, a humidifier 22, a gas supply device 23, a circulating fan 24, and an environmental sensor 25. The temperature control device 21 works in conjunction with the environmental sensor 25 to regulate the temperature inside culture chamber 2 to a predetermined set temperature. The humidifier 22 works in conjunction with the environmental sensor 25 to regulate the humidity inside culture chamber 2 to a predetermined set humidity. The gas supply device 23 works in conjunction with the environmental sensor 25 to supply CO2, N2, and O2 gases. The circulating fan 24 works in conjunction with the environmental sensor 25 to circulate the gas (air) inside culture chamber 2 and regulate the temperature. The environmental sensor 25 detects the temperature, humidity, carbon dioxide concentration, nitrogen concentration, and oxygen concentration inside culture chamber 2.

[0020] The storage rack 3 is formed as a shelf separated front to back and top to bottom. Each shelf is assigned a unique position number. The culture container 10 is appropriately selected according to the type and purpose of the object to be cultured. The culture container 10 can be, for example, a well plate, a flask, or a dish-type culture container. In this embodiment, the use of a well plate is taken as an example. The object is injected and held in the culture container 10 together with the liquid culture medium (culture solution). Each culture container 10 is assigned a code number. The culture container 10 is housed in association with the designated position number of the storage rack 3 according to the assigned code number. The transfer unit 4 has a Z-stage 41 that can move up and down, a Y-stage 42 that can move back and forth, and an X-stage 43 that can move left and right, all located inside the culture chamber 2. The support arm 45 lifts and supports the culture container 10 at the front end of the X-stage 43.

[0021] The observation apparatus 5 includes a first illumination unit 51, a second illumination unit 52, a third illumination unit 53, a macroscopic observation system 54, a microscopic observation system 55, and a control unit 6. The first illumination unit 51 illuminates the object from below the sample stage 15. The second illumination unit 52 illuminates the object from above the sample stage 15 along the optical axis of the microscopic observation system 55. The third illumination unit 53 illuminates the object from below the sample stage 15 along the optical axis of the microscopic observation system 55. The macroscopic observation system 54 performs macroscopic observation of the object. The microscopic observation system 55 performs microscopic observation of the object. A transparent window 16, such as glass, is provided within the observation area of ​​the microscopic observation system 55 on the sample stage 15.

[0022] The macroscopic observation system 54 includes an observation optical system 54a and an imaging device 54c, such as a CCD camera, for capturing images of objects imaged by the observation optical system 54a. The macroscopic observation system 54 acquires an overall observation image from above the culture container 10, which is backlit by the first illumination unit 51. The microscopic observation system 55 includes an observation optical system 55a, such as an objective lens, an intermediate zoom lens, and a fluorescence filter, and an imaging device 55c, such as a cooled CCD camera, for capturing images of objects imaged by the observation optical system 55a. Multiple objective lenses and intermediate zoom lenses may be provided. The objective lenses and intermediate zoom lenses can be configured to achieve any magnification by changing the lens combination. The microscopic observation system 55 acquires a transmitted image of an object illuminated by the second illumination unit 52, a reflected image of an object illuminated by the third illumination unit 53, and a fluorescence image of an object illuminated by the third illumination unit 53. In other words, the microscopic observation system 55 acquires microscopic observation images obtained by microscopic observation of objects within the culture container 10.

[0023] The control unit 6 processes signals input from the camera device 54c of the macroscopic observation system 54 and the camera device 55c of the microscopic observation system 55, and generates images such as a macroscopic observation image and a microscopic observation image. Furthermore, the control unit 6 performs image analysis on the macroscopic observation image and the microscopic observation image, and generates a time-lapse image. The control unit 6 outputs the generated images to the information processing device 100 and stores them in the storage device 110.

[0024] The control unit 6 has a CPU (Central Processing Unit) 61, a ROM (Read Only Memory) 62, and a RAM (Random Access Memory) 63. The CPU 61 manages the control unit 6 and performs various processes within it. The ROM 62 stores control programs and data related to the culture system BS. The RAM 63 includes auxiliary storage devices such as hard disks or DVDs (Digital Versatile Discs) and temporarily stores observation conditions and image data. The control unit 6 is connected to various components including the culture chamber 2, the transfer unit 4, the observation device 5, and the operation panel 7 (see reference). Figure 3 ).

[0025] RAM 63 stores, for example, the environmental conditions and observation schedule of the culture chamber 2 corresponding to the observation program, and the observation category, observation location, and observation magnification of the observation device 5. Additionally, RAM 63 includes a storage area for storing image data captured by the observation device 5, and stores this image data in association with index data including the code number of the culture container 10 and the date and time of capture. The operation panel 7 has an operation panel (operation unit, input unit) 71 and a display panel 72. The operation panel 71 includes input / output devices (operation unit, input unit) such as a keyboard, mouse, and switches. The user operates the operation panel 71 to input observation program settings, condition selections, and action commands. The communication unit 65 is configured according to wired or wireless communication standards and sends / receives data between the observation device 5, the culture system BS, or external devices (such as servers, user clients, etc.) connected to the control unit 6. Various information stored in RAM 63 can be appropriately stored in the storage device 110 via the information processing device 100.

[0026] Figure 5 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the first embodiment. For example... Figure 5 As shown, the information processing device 100 includes a communication unit 131, an acquisition unit 132, a display control unit 133, an arithmetic unit 134, and a registration unit 135. Additionally, an input unit 121 and a display unit 122 are connected to the information processing device 100.

[0027] The input unit 121 accepts various operations from the user of the information processing device 100 and outputs control signals corresponding to the user operations. The input unit 121 may be, for example, a mouse and keyboard. The display unit 122 displays and outputs various information (including image information) corresponding to the user operations on the input unit 121. The display unit 122 may be, for example, a monitor. Alternatively, the input unit 121 and the display unit 122 may be integrated. That is, the input unit 121 and the display unit 122 may also be a portable terminal (e.g., a tablet terminal) with a touch panel that allows direct input of the various information displayed on the display unit 122.

[0028] The communication unit 131 communicates with the culture system BS and the storage device 110 via a network to send / receive various information. For example, the communication unit 131 receives information related to observation conditions and observation results from the culture system BS via the network. In addition, the communication unit 131 sends / receives information related to observation conditions and observation results with the storage device 110 via the network, for example.

[0029] The acquisition unit 132 acquires observation results obtained by photographing multiple objects contained in a container with multiple containment sections under specified observation conditions. For example, the acquisition unit 132 appropriately acquires information related to various observation results in the culture system BS stored in the storage device 110 via the network or communication unit 131. In addition, the acquisition unit 132 can not only appropriately acquire information related to the observation results from the storage device 110, but also appropriately acquire information related to the observation conditions.

[0030] Figure 6 This is a diagram illustrating an example of information stored in the storage device of the first embodiment. For example... Figure 6 As shown, the storage device 110 includes experiment number, experiment name, experiment supervisor, experiment manager, observation start date and time, observation end date and time, microscope name, magnification, container product, container category, judgment result, status, application number, and application name as data items. The experiment number is information representing a unique identification number assigned to each experiment. For example, the experiment number stores information such as "Exp00001". The experiment name is information representing the name of the experiment. For example, the experiment name stores information such as "BS-T00001". The experiment supervisor is information representing the name of the person responsible for the experiment. For example, the experiment supervisor stores information such as "Supervisor A". The experiment manager is information representing the name of the person in charge of the experiment. For example, the experiment manager stores information such as "Manager E". Furthermore, the data items experiment number, experiment name, experiment supervisor, and experiment manager can also be simply set as number, name, supervisor, and manager, respectively. For example, not limited to the experimental stage, when used in the culture stage, it can also be the data items culture number, culture name, culture supervisor, and culture manager.

[0031] The observation start date and time indicates the date and time when the observation begins. For example, it might store information like "2019 / 08 / 25 09:00:00". The observation end date and time indicates the date and time when the observation ends. For example, it might store information like "2019 / 08 / 26 15:15:25". The microscope name indicates the name of the microscope used in the observation. For example, it might store information like "Microscope H". The magnification indicates the magnification set during the observation. For example, it might store information like "8x". The container product indicates the manufacturer's name of the container (e.g., perforated plate) with multiple containment parts (e.g., holes, dishes). For example, it might store information like "Product Type K".

[0032] Container category indicates the type of container (e.g., well plate) with multiple containment sections (e.g., holes). For example, the container category stores information such as "6WP (Well Plate)". Judgment result indicates the user's judgment on the experiment. For example, the judgment result stores information such as "OK" or "NG". Status indicates the progress of the analysis of the observation results. For example, the status stores information such as "Completed" or "60%". Application number indicates a unique identification number assigned to each application package used in the analysis of the observation results. For example, the application number stores information such as "App.00001". Application name indicates the name of the application package. For example, the application name stores information such as "AppX". Furthermore, application packages may include applications for image analysis, applications for calculating the area of ​​objects, applications for calculating the number of objects, etc.

[0033] In addition to the information mentioned above, the storage device 110 also stores observation images of multiple containment sections of the object being contained, corresponding to the experiment number and code number. These observation images are, for example, equivalent to the overall observation image and microscopic observation image described above. Therefore, the acquisition unit 132 can also appropriately acquire observation images from the storage device 110. Furthermore, the storage device 110 also stores group information, which will be described later.

[0034] Return to Figure 5 The display control unit 133 generates a display image to be displayed on the display unit 122 and displays the generated display image on the display unit 122. The display control unit 133 generates various display images to be displayed on the display unit 122 and displays the generated display images on the display unit 122, but in this embodiment, it mainly generates display images related to the registration of groups performed by the registration unit 135 (described later). Furthermore, regarding the generation of display images, the display control unit 133 obtains information requiring computation from the calculation unit 134. That is, the calculation unit 134 performs computation based on the observation results. In other words, the display control unit 133 obtains raw data such as observation conditions and observation results from the storage device 110 and obtains information about the computational processing results obtained based on the observation results from the calculation unit 134. Details regarding the processing of the display control unit 133 in this embodiment will be described later.

[0035] Registration Unit 135 registers two or more containment chambers into the same group based on classification criteria obtained from observation conditions or observation results. Classification criteria include, for example, at least one of the observation conditions including the type and amount of culture medium introduced into the containment chamber. Classification criteria include, for example, at least one of the observation conditions including the type, concentration, and amount of serum contained in the culture medium introduced into the containment chamber. Classification criteria include, for example, at least one of the observation conditions including the type, concentration, exposure period, and exposure time of the agent introduced into the containment chamber. Classification criteria include, for example, at least one of the observation conditions including the type and quantity of objects introduced into the containment chamber. Classification criteria include, for example, at least one of the observation conditions including microscope name, magnification, temperature setting, humidity setting, ambient gas supply setting, and light output setting in the space containing the container (e.g., culture chamber 2). Classification criteria include, for example, at least one of the observation results including the quantity of objects, changes in quantity over time, doubling time of quantity, movement, and morphological changes. Classification criteria include, for example, at least one of the observation results including the area occupied by the object and the perimeter of the object. The classification criteria may, for example, use the resolved brightness values ​​of the observation results (images). For instance, when using the resolved brightness values ​​of an image, the average brightness value can be set to "5" relative to the cell density (sparseness) of the colony, and the cells can be classified as above or below the benchmark value when the average value is used as the benchmark. That is, the registration unit 135 registers two or more containments that have the same (similar, related) observation results as the same group using one or a combination of the above classification criteria. The registration unit 135 stores the group information in the storage device 110. Furthermore, the classification criteria may include features or indicators used in the group registration and group display described later.

[0036] The information used in group registration may also include observation images obtained from photographing the containment units as one of the observation results. That is, during any process (period) of observation, the registration unit 135 registers two or more containment units with the same (similar, related) observation images as the same group. In addition, the information used in group registration may also include information that visually represents the observation results. That is, the registration unit 135 registers two or more containment units with the same (similar, related) graphical information as the same group based on information that graphically represents the observation results.

[0037] Furthermore, regarding group registration, it can be performed without utilizing observation results. Registration unit 135 can perform group registration at any time without utilizing observation results, for example. Any time could be before observation, during observation, and / or after observation. As an example, group registration without utilizing observation results can be performed before observation (at a time when classification criteria related to observation conditions are set). That is, registration unit 135 can also register two or more containment units into the same group based on classification criteria related to observation conditions. The classification criteria related to observation conditions can be predetermined by the user.

[0038] Figures 7 to 17 This is a diagram illustrating a screen example in group registration using classification criteria according to the first embodiment. Additionally, in Figures 7 to 17 The description should appropriately explain the processing in the display control unit 133, the calculation unit 134, and the registration unit 135. For example... Figure 7 As shown, the display control unit 133 displays a search screen representing the observation results on the display unit 122. The search screen for observation results includes: a text input unit KSa for keyword searching; condition search units FSa, FSb, FSC, and FSd for searching by selecting from predetermined search criteria; and a search button SB for performing the search. Condition search unit FSa is, for example, a drop-down menu for selecting the name of the person in charge of the experiment. Condition search unit FSb is, for example, a drop-down menu for selecting the status. Condition search unit FSc is, for example, a drop-down menu for selecting the observation start date and observation end date. Condition search unit FSd is, for example, a drop-down menu for selecting the application name. Furthermore, condition search units FSa, FSb, FSC, and FSd can also be implemented via text input. Additionally, the search criteria are not limited to the above-mentioned criteria.

[0039] The user operates the input unit 121 to input text into the text input unit KSa, select the conditions search units FSa, FSb, FSC, and FSd, and press the search button SB. Alternatively, the user operates the input unit 121 without inputting text or selecting conditions, and presses the search button SB. In response to the pressing of the search button SB, the display control unit 133 retrieves information matching the search conditions from the storage device 110 and displays a display image representing the search results SR on the display unit 122. That is, the display control unit 133 displays a display image on the display unit 122 representing a summary or a summary of all observation results obtained based on the search conditions. The search results SR include, for example, information on data items such as experiment name, experiment supervisor, experiment leader, observation start date and time, observation end date and time, microscope name, magnification, container product, container category, application name, judgment, and status. Furthermore, the data items in the search results SR are not limited to the above items. In addition, the search results SR can be sorted according to the instructions of the data items, etc. The user performs an operation of selecting (specifying) from the search results SR to confirm the observation results.

[0040] Next, as Figure 8 As shown, the display control unit 133 displays the observation results selected from the search results SR in the display image. The display image of the observation results includes, for example, observation-related information Expi, shooting conditions-related information ScI, a panel image PmI including the observation images, and events related to the observations EvI. The panel image PmI includes the observation image OI, group name GN, time series switching content TS, and depth switching content DP. The observation image OI displays, for example, the observation images included in the selected observation results. The group name GN displays, for example, the registered group name. The time series switching content TS displays, for example, a directory for switching observation images according to time series. The depth switching content DP displays, for example, a directory for switching observation images corresponding to the depth of the containment unit.

[0041] The time series switching catalog TS is represented by multiple rectangles divided into certain periods. The user can operate the input unit 121 to select a rectangle from the time series switching catalog TS. When a rectangle from the time series switching catalog TS is selected, the display control unit 133 displays the observation image corresponding to the corresponding period as the display image, switching the display of the chart PmI. At this time, the display control unit 133 can also display information related to the observation date and time within the selected rectangle. Furthermore, switching the observation image using the time series switching catalog TS is not limited to selecting a rectangle; it can also be achieved by moving the selected position of the rectangle within the time series switching catalog TSa.

[0042] The depth switching catalog DP is represented, for example, by rectangles divided according to a certain depth (thickness, Z direction) for the containment section. The user can operate the input unit 121 to select a rectangle of the depth switching catalog DP. When a rectangle of the depth switching catalog DP is selected, the display control unit 133 displays the observation image corresponding to the depth of the corresponding containment section as the display image, and switches the display of the panel diagram PmI. Furthermore, switching the observation image using the depth switching catalog DP is not limited to selecting a rectangle, but can also be achieved by moving the selection position of the rectangle using the depth switching catalog DPa.

[0043] In other words, the display control unit 133 displays the observation results of a group selected by the user for display images related to containers with multiple containment sections on the display unit 122. Furthermore, without using search criteria, the display control unit 133 displays the observation results selected by the user from a list (all lists) for display images related to containers with multiple containment sections on the display unit 122. Additionally, when using search criteria, the display control unit 133 displays the observation results selected by the user from a list based on search criteria for display images related to containers with multiple containment sections on the display unit 122. Moreover, the display control unit 133 displays observation images of the containment sections included in the observation results for display images on the display unit 122.

[0044] Next, the user operates the input section 121 and presses the edit button EB (see reference). Figure 9 This allows you to register for a new group. Editing here includes editing group information by registering a new group. For example... Figure 9 As shown, the display control unit 133 receives a signal indicating that the edit button EB has been pressed. Furthermore, as... Figure 10 As shown, the display control unit 133 displays a display image including the observation image OI and the group addition button AG for adding new groups. Next, as... Figure 11 As shown, the user operates the input unit 121 to select two or more observation images OI corresponding to the receiving section that they want to add as a new group, and presses the group addition button AG. Here, the display control unit 133 displays a display image with the observation image OI inverted in a predetermined color, corresponding to the selection of the observation image OI. Thus, the display control unit 133 receives a signal indicating that the group addition button AG has been pressed, such as... Figure 12As shown, the display control unit 133 displays a text input section KSb for entering (or editing) the group name of a new group, and a registration button RB for performing group registration. In addition, the display control unit 133 highlights the observation image OI, which is the object of group registration, using color, borders, or lines. Furthermore, a group color directory GC, which uses different colors for different groups to represent observation results, is arranged near the text input section KSb.

[0045] Next, as Figure 13 As shown, the user operates the input unit 121 to select the group color directory GC, input the group name into the text input unit KSb, and press the registration button RB. Consequently, the display control unit 133 receives a signal indicating that the registration button RB has been pressed, such as... Figure 14 As shown, the display control unit 133 displays a display image including a confirmation image CI, which represents an image used to confirm the execution of group registration. When performing group registration using classification criteria, the user operates the input unit 121 and presses the registration button included in the confirmation image CI. Conversely, when not performing group registration, the user operates the input unit 121 and presses the cancel button included in the confirmation image CI. Figure 15 As shown, when the registration button is pressed, the display control unit 133 displays a display image including a completion image CS, which indicates that group registration has been completed. At this time, the registration unit 135 stores the group information related to the new group into the storage device 110.

[0046] After that, as Figure 16 As shown, the display control unit 133 displays a display image including newly registered group names in the group name GN of the board diagram PmI. Additionally, the user operation input unit 121 selects a registered group from the group name GN in the board diagram PmI. Therefore, the display control unit 133 receives a signal indicating a group selection made from the group name GN, such as... Figure 17 As shown, the display control unit 133 displays a display image including a parsing result AR representing the parsing result corresponding to the selected group name and a doubling time DT representing the doubling time. For example, when displaying the parsing result AR and the doubling time DT, the display control unit 133 receives and displays the calculation processing result from the calculation unit 134. Figure 17 The analytical result AR shown is an example of visually representing the average number of objects belonging to group B in the containment section along with error lines. That is, the display control unit 133 displays information that visually represents the observation results based on the calculation performed by the calculation unit 134, and displays the display image on the display unit 122.

[0047] Furthermore, in the graph of this embodiment (e.g., the part showing the AR resolution result), the data of the vertical and horizontal axes of the graph are shown as an example. For example, information related to the time period from the start date of observation to the end date of observation can be displayed on the horizontal axis. For example, information about the item selected in the drop-down menu of the plate plot PmI can be displayed on the vertical axis. For example, if the number of cells is selected in the drop-down menu, the vertical axis is plotted in terms of 0 to 1.0 (×10). 7 The vertical axis is shown in scales, such as 0 to 100 (or 0 to 1.0), when cell area percentage is selected in the drop-down menu. Therefore, the vertical and horizontal axes of the graph vary depending on what is being displayed.

[0048] Figure 18 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the first embodiment. In step S101, the acquisition unit 132 determines whether a search with set search conditions has been performed. For example, the acquisition unit 132 determines which of the following searches it is: a search by inputting text into the text input unit KSa and pressing the search button SB; a search by selecting from the search conditions of the use condition search units FSa, FSb, FSC, FSd and pressing the search button SB; and a search by simply pressing the search button SB. At this time, if it is a search by inputting text into the text input unit KSa and pressing the search button SB, or a search by selecting from the search conditions of the use condition search units FSa, FSb, FSC, FSd and pressing the search button SB (step S101: Yes), the acquisition unit 132 performs the processing in step S102. On the other hand, if it is a search by simply pressing the search button SB (step S101: No), the acquisition unit 132 performs the processing in step S103.

[0049] In step S102, the acquisition unit 132 acquires observation results based on the search criteria. For example, the acquisition unit 132 acquires observation results that meet the search criteria from the storage device 110 via the communication unit 131. In step S103, the acquisition unit 132 acquires all observation results. For example, the acquisition unit 132 acquires all observation results from the storage device 110 via the communication unit 131. In step S104, the display control unit 133 displays a summary of the observation results. For example, the display control unit 133 displays a summary of the observation results acquired by the acquisition unit 132 in a display image and displays this display image on the display unit 122.

[0050] In step S105, the display control unit 133 accepts the selection of the observation result. For example, the display control unit 133 accepts the user's selection of the observation result from the display image showing a summary of the observation results as a signal. In step S106, the display control unit 133 displays a panel diagram. For example, the display control unit 133 displays the observation result selected by the user on a display image related to a container having multiple receiving parts, and displays this display image on the display unit 122. At this time, the display control unit 133 may display a graph or the like for the observation result on the display image based on the execution result of the calculation by the calculation unit 134, and display this display image on the display unit 122. In addition, the display control unit 133 may also display a time series switching directory TS and / or a depth switching directory DP, etc., on the display image, and display this display image on the display unit 122.

[0051] In step S107, the display control unit 133 receives the selection of the observed image and the group registration of the receiving section corresponding to the selected observed image. For example, the display control unit 133 receives a signal indicating that the edit button EB has been pressed. Furthermore, the display control unit 133 displays a display image including the observed image OI and the group addition button AG on the display unit 122. Next, the display control unit 133 receives signals indicating the selection of the observed image OI and the pressing of the group addition button AG. At this time, the display control unit 133 can display a display image after the selected observed image OI has been inverted with a specified color. Afterward, the display control unit 133 displays a display image on the display unit 122 including a text input section KSb for inputting the group name and a registration button RB for performing group registration. At this time, the observed image OI, which is the object of group registration, can also be clearly indicated by a border or the like. Furthermore, the display control unit 133 receives signals indicating the selection of the group color directory GC, the group name input to the text input section KSb, and the pressing of the registration button RB.

[0052] In step S108, the registration unit 135 performs group registration. For example, based on observations of objects as new groups, the registration unit 135 stores group information in the storage device 110 according to the group color and group name received by the display control unit 133. Furthermore, group registration is not limited to new group registrations. For example... Figure 11 As shown, after selecting the image OI to be viewed, the user can also select an existing group (here, "Group A") and press the registration button RB. Thus, the registration unit 135 can also store the group information to be added to "Group A" for the selected storage unit into the storage device 110.

[0053] Figure 19This is a flowchart illustrating an example of the display switching process for the observation image according to the first embodiment. In step S201, the display control unit 133 determines whether a panel image is displayed. If a panel image is displayed (step S201: Yes), the display control unit 133 executes the processing in step S202. On the other hand, if a panel image is not displayed (step S201: No), the display control unit 133 may not perform the display switching of the observation image, and therefore, the processing ends.

[0054] In step S202, the display control unit 133 determines whether a time series switching operation has been accepted. For example, the display control unit 133 determines whether a rectangle for the time series switching directory TS has been selected. Furthermore, the display control unit 133 may also determine whether an operation to move the selection position of the rectangle has been performed for the time series switching directory TSa. Moreover, if the display control unit 133 accepts a signal indicating a time series switching operation (step S202: Yes), in step S203, it displays an observation image corresponding to the time series. For example, the display control unit 133 displays an observation image corresponding to the period corresponding to the position of the rectangle in the time series switching directory TS as the display image, and switches the display of the panel diagram PmI. On the other hand, if the display control unit 133 does not accept a time series switching operation (step S202: No), it executes the processing in step S204.

[0055] In step S204, the display control unit 133 determines whether a depth switching operation has been accepted. For example, the display control unit 133 determines whether a rectangle representing the depth switching directory DP has been selected. Furthermore, the display control unit 133 may also determine whether an operation to move the selection position of the rectangle has been performed for the depth switching directory DPa. Moreover, if the display control unit 133 receives a signal indicating a depth switching operation (step S204: Yes), in step S205, it displays an observation image corresponding to the depth. For example, when a rectangle representing the depth switching directory DP is selected, the display control unit 133 displays an observation image corresponding to the depth of the corresponding receiving section as the display image and switches the display of the panel diagram PmI. On the other hand, if the display control unit 133 does not receive a depth switching operation (step S204: No), it executes the processing in step S201. In other words, if the display control unit 133 receives a signal indicating an operation for the time series switching directory TS or the depth switching directory DP during the period when the panel diagram is displayed, it performs the process of switching to the corresponding observation image and displaying it.

[0056] [Second Implementation] Next, the second embodiment will be described. In this embodiment, the same reference numerals are sometimes used to refer to the same structures as in the above embodiments, and their descriptions are omitted or simplified.

[0057] Figure 20 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the second embodiment. For example... Figure 20 As shown, the information processing device 100a includes a communication unit 131, an acquisition unit 132, a display control unit 133a, an arithmetic unit 134, and a registration unit 135. Additionally, an input unit 121 and a display unit 122 are connected to the information processing device 100a.

[0058] The acquisition unit 132 acquires observation results obtained by photographing multiple objects under specified observation conditions. The processing in the acquisition unit 132 is the same as in the embodiment described above. For a display image relating to a container having multiple receiving sections (each containing multiple objects), the display control unit 133a highlights the receiving section of the container belonging to the group corresponding to the classification criteria selected by the user using highlighting information such as color, borders, or lines. For example, the display control unit 133a displays a display image including a panel with group names on the display unit 122. Furthermore, the display control unit 133a receives a signal indicating that the user has selected a group name in the display image. Next, for a display image relating to the container, the display control unit 133a highlights the receiving section of the container belonging to the group selected by the user and displays the highlighted display image on the display unit 122. The display control unit 133a switches the highlighting of the receiving section of the container belonging to the corresponding group based on the user's selection of the classification criteria (e.g., a signal indicating that a classification criteria has been selected). For example, when the display control unit 133a detects a signal indicating that a user has selected a first classification criterion from multiple classification criteria (also called multiple groups), it displays the receiving section of the container belonging to the group corresponding to the first classification criterion. Then, when the display control unit 133a subsequently detects a signal indicating that a user has selected another second classification criterion different from the first classification criterion, it switches the display to display the receiving section of the container belonging to the group corresponding to the second classification criterion.

[0059] Figure 21 This is an example diagram showing a plate drawing of the second embodiment. It should be noted that... Figure 21 The example given is a 96-well plate. Figure 21 As shown, the display control unit 133a displays an image on the board diagram in which the receiving sections of containers belonging to the same group are clearly indicated by color. Furthermore, in Figure 21In the illustrated containment sections, effects are applied for ease of explanation, but they are actually distinguished by color. The colors of the containment sections can also correspond to the group colors mentioned above. For example, the containment section in the container that serves as an anti-drying buffer disposed on the outside is represented in gray relative to the displayed image. For example, the containment section in the container that is represented by a grid-like effect is represented in red relative to the displayed image. For example, the containment section in the container that is represented by a vertical line effect is represented in green relative to the displayed image. For example, the containment section in the container that is represented by a horizontal line effect is represented in blue relative to the displayed image. In addition, for example, the display control unit 133a displays a graph in the displayed image representing the number of objects in each group as analytical information of the observation results. Regarding the graph, the display control unit 133a also shows solid lines in red (corresponding to containment sections with a grid-like effect), dashed lines in green (corresponding to containment sections with a vertical line effect), and single-dot dashed lines in blue (corresponding to containment sections with a horizontal line effect). Furthermore, Figure 21 The graph shown represents the average number of objects in the containment units of each group.

[0060] Figure 22 This is an example diagram showing a plate drawing of the second embodiment. For example... Figure 22 As shown, the display control unit 133a displays an image on the board diagram in which the receiving sections of containers belonging to the same group are clearly indicated by borders. Border a corresponds to... Figure 21 The group shown has the grid effect applied (indicated in red). The border b is equivalent to... Figure 21 The group shown has a vertical line effect applied (indicated in green). Border c is equivalent to... Figure 21 The groups shown are given a horizontal line effect (indicated in blue). Additionally, the curves are set to display a pattern corresponding to borders a, b, and c. Furthermore, it's possible to use both color and borders to indicate the same group simultaneously.

[0061] In addition to the above, there are various other forms of explicit statements targeting the Containment Department. Figures 23 to 26 This is a diagram illustrating a clear example of the housing section in the second embodiment. (See diagram for example.) Figure 23 and Figure 24 As shown, when there are multiple receiving units belonging to different groups based on classification criteria, the display control unit 133a displays a color combination corresponding to the group to which the unit belongs. For example, in... Figure 23 In the image, green indicates the areas where vertical lines are applied, and blue indicates the areas where horizontal lines are applied. For example, in... Figure 24 In the image, red indicates areas with a grid effect, green indicates areas with a vertical line effect, and blue indicates areas with a horizontal line effect. Furthermore, in... Figure 24In the study, the group that was equivalent to the negative control that the user wanted to actively confirm (shown in blue) performed larger than the other groups.

[0062] like Figure 25 and Figure 26 As shown, the display control unit 133a displays an image indicating the group to which the container belongs by adding a directory near the containment section. For example, in Figure 25 and Figure 26 In the diagram, solid lines are shown in red (corresponding to containment sections with a grid-like effect), dashed lines are shown in green (corresponding to containment sections with a vertical line effect), and single-dot lines are shown in blue (corresponding to containment sections with a horizontal line effect). That is, Figure 25 and Figure 26 The shown containment sections belong to three groups. As mentioned above, when other classification criteria are selected, the display switches between explicit and graphical representations of containment sections within the same group.

[0063] Figure 27 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the second embodiment. Furthermore, in Figure 27 The processing flow when a panel diagram is displayed is described below. In step S301, the acquisition unit 132 acquires information related to the observation results of each group from the storage device 110. In step S302, the display control unit 133a displays a display image containing the information acquired by the acquisition unit 132 related to the observation results of each group on the display unit 122. Here, the user operates the input unit 121 to select any group. The user can select multiple groups or select only one group.

[0064] In step S303, the acquisition unit 132 acquires observation results from the storage device 110, including observation images belonging to groups selected by the user. In step S304, the display control unit 133a explicitly displays receiving units belonging to the same group when multiple groups are selected. For example, the display control unit 133a generates a display image that explicitly displays receiving units belonging to the same group based on the observation images, and displays the generated display image on the display unit 122. In step S305, the display control unit 133a displays the analysis results of the observation results related to a group when a group is selected. For example, the display control unit 133a displays a display image containing information obtained by graphically representing the observation results on the display unit 122 based on the calculation results of the calculation unit 134.

[0065] [Third Implementation] Next, the third embodiment will be described. In this embodiment, the same reference numerals are sometimes used to refer to the same structures as in the above embodiments, and their descriptions are omitted or simplified.

[0066] Figure 28 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the third embodiment. For example... Figure 28 As shown, the information processing device 100b includes a communication unit 131, an acquisition unit 132, a display control unit 133b, an arithmetic unit 134, and a registration unit 135. Additionally, an input unit 121 and a display unit 122 are connected to the information processing device 100b.

[0067] The display control unit 133b displays the container compartments that meet the observation conditions or observation results specified by the user in the displayed image. For example, after displaying the container compartments belonging to the same group, the display control unit 133b accepts the user's specification of observation conditions or observation results. That is, after confirming the observation results of multiple groups, the user specifies the observation conditions or observation results in order to further confirm any container compartment that meets the observation conditions or observation results. For example, even if they are in the same group, they may not have used the same agent; even if they used the same agent, they may not be registered in the same group. Therefore, in this embodiment, regardless of the group (classification criterion), the process for confirming (locking) the container compartments that meet any conditions is performed. Moreover, the display control unit 133b displays a display image on the display unit 122 that displays the container compartments that meet the specified observation conditions or observation results. As a method of display, it can also be implemented by at least one of color differentiation, borders, and catalog addition. Furthermore, if group registration has not been performed after the container compartments have been displayed, group registration can also be performed according to the user's operation.

[0068] Figure 29 This is an example diagram showing a panel view of the third embodiment. Furthermore, in Figure 29 The text cites examples of cases where the containment section explicitly indicates a specific type and concentration of serum. For instance... Figure 29 As shown, the display control unit 133b displays an image on the board diagram clearly showing the receiving portion of a container that conforms to the serum type and concentration specified by the user, using color and borders. Furthermore, in Figure 29In the illustrated containment sections, effects are applied for ease of explanation, but they are actually distinguished by color. For example, the containment section in the container that serves as a desiccation buffer located on the outside is shown in gray relative to the displayed image. For example, the containment section in the container that is represented by a grid effect is shown in red relative to the displayed image. For example, the containment section in the container that is represented by a vertical line effect is shown in green relative to the displayed image. In addition, for example, the display control unit 133b displays a graph in the displayed image showing the number of objects distinguished by object for each observation condition or observation result as analytical information of the observation results. Regarding the graph, the display control unit 133b also shows solid lines in red (corresponding to the containment section with the grid effect) and dashed lines in green (corresponding to the containment section with the vertical line effect).

[0069] Figure 30 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the third embodiment. Furthermore, in Figure 30 The processing flow when a panel diagram is displayed is described below. In step S401, the acquisition unit 132 acquires information related to the observation results of each group from the storage device 110. In step S402, the display control unit 133b displays a display image containing the information acquired by the acquisition unit 132 related to the observation results of each group on the display unit 122. Here, the user operates the input unit 121 to select any group. The user can select multiple groups or select only one group.

[0070] In step S403, the acquisition unit 132 acquires observation results from the storage device 110, including observation images belonging to the group selected by the user. Here, the user operates the input unit 121 to specify the observation conditions or observation results to be confirmed. In step S404, the display control unit 133b displays a display image clearly showing the receiving units that meet the observation conditions or observation results specified by the user. In step S405, the display control unit 133b displays the analysis results. For example, when the display control unit 133b receives a signal indicating that the user has specified the observation conditions or observation results, it displays on the display unit 122 a display image showing the receiving units that meet each observation condition or observation result through color differentiation, borders, and directory additions. Additionally, the display control unit 133b also displays the analysis results related to the corresponding receiving units on the display unit 122.

[0071] [Fourth Implementation] Next, the fourth embodiment will be described. In this embodiment, the same reference numerals are sometimes used to refer to the same structures as in the above embodiments, and their descriptions are omitted or simplified.

[0072] Figure 31This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the fourth embodiment. For example... Figure 31 As shown, the information processing device 100c includes a communication unit 131, an acquisition unit 132, a display control unit 133c, an arithmetic unit 134, and a registration unit 135. Additionally, an input unit 121 and a display unit 122 are connected to the information processing device 100c.

[0073] The display control unit 133c indicates the receiving portion of the container for display image display based on a threshold condition specified by the user. For example, after indicating receiving portions belonging to the same group, the display control unit 133c receives a signal indicating that the user has specified a threshold condition. That is, after confirming the observation results of multiple groups, the user specifies a threshold condition to further confirm the receiving portion corresponding to the threshold condition. In this embodiment, regardless of the group (classification criterion), processing for confirming receiving portions that meet any threshold condition is performed. Furthermore, the display control unit 133c displays a display image on the display unit 122 indicating the receiving portion according to the specified threshold condition. As an indication method, it can be implemented by at least one of color differentiation and catalog addition. In addition, if group registration has not been performed after indicating the receiving portion, group registration can also be performed based on user operation.

[0074] Additionally, the display control unit 133c can add a catalog for adjusting threshold conditions to the displayed image. The user can further change the threshold conditions while confirming the displayed image after specifying them. The display control unit 133c displays a display image on the display unit 122 that clearly shows the receiving section corresponding to the changed threshold conditions.

[0075] Figure 32 This is an example diagram showing a plate drawing of the fourth embodiment. Furthermore, in Figure 32 Examples of applicable measurement applications A and B are given below. Figure 32 As shown, the display control unit 133c displays a display image on the board diagram that clearly indicates the receiving section using color and catalog addition based on specified threshold conditions. Furthermore, in Figure 32In the illustrated containment sections, effects are applied for ease of explanation, but they are actually distinguished by color. For example, the containment section in the container that serves as a desiccation buffer located on the outside is shown in gray relative to the displayed image. For example, the containment section in the container that is represented by a grid-like effect is shown in red relative to the displayed image. For example, the containment section in the container that is represented by a vertical line effect is shown in green relative to the displayed image. In addition, as analytical information of the observation results, a graph representing the number of objects in the containment sections corresponding to measurement application A and measurement application B is shown in the displayed image. The display control unit 133c also shows the graph with solid lines in red (corresponding to the containment sections with a grid-like effect) and dashed lines in green (corresponding to the containment sections with a vertical line effect).

[0076] Figure 33 This is an example diagram showing a plate drawing of the fourth embodiment. For example... Figure 33 As shown, the display control unit 133c displays a display image showing a catalog of items for adjusting threshold conditions. The user changes the threshold conditions. Consequently, the display control unit 133c displays a display image showing the receiving units (e.g., multiple receiving units in a group that meet the threshold conditions) corresponding to the changed threshold conditions.

[0077] Figure 34 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the fourth embodiment. Furthermore, in Figure 34 The processing flow for situations where a board diagram is displayed is described below. In step S501, the acquisition unit 132 acquires information related to the observation results of each group from the storage device 110. In step S502, the display control unit 133c displays a display image containing the information acquired by the acquisition unit 132 related to the observation results of each group on the display unit 122. Here, the user operates the input unit 121 to select any group. The user can select multiple groups or select only one group.

[0078] In step S503, the acquisition unit 132 acquires observation results from the storage device 110, including observation images belonging to the group selected by the user. Here, the user operates the input unit 121 to specify the threshold conditions to be confirmed. In step S504, the display control unit 133c displays the receiving unit according to the threshold conditions specified by the user. The display control unit 133c displays the analysis results. For example, the display control unit 133c displays the receiving unit according to the threshold conditions specified by the user and displays a display image showing the analysis results of the observation results of the displayed receiving unit.

[0079] In step S506, the display control unit 133c determines whether the threshold condition has been changed. For example, if the display control unit 133c receives a signal indicating an operation to add a directory to the display image that changes the threshold condition (step S506: Yes), it executes the processing in step S504. On the other hand, if the display control unit 133c does not receive an operation to add a directory to the display image that changes the threshold condition (step S506: No), it determines in step S507 whether a panel image is displayed. If a panel image is displayed (step S507: Yes), the display control unit 133c executes the processing in step S506. On the other hand, if a panel image is not displayed (step S507: No), the display control unit 133c terminates the processing.

[0080] [Fifth Implementation] Next, the fifth embodiment will be described. In this embodiment, sometimes the same reference numerals are used to refer to the same structures as in the above embodiments, and their descriptions are omitted or simplified.

[0081] Figure 35 This is a block diagram illustrating a functional configuration example of the information processing apparatus according to the fifth embodiment. For example... Figure 35 As shown, the information processing device 100d includes a communication unit 131, an acquisition unit 132, a display control unit 133d, an arithmetic unit 134, and a registration unit 135. Additionally, an input unit 121 and a display unit 122 are connected to the information processing device 100d.

[0082] The display control unit 133d clearly indicates the container compartments that conform to the function combinations specified by the user in the displayed image. For example, after the display control unit 133d clearly indicates the container compartments belonging to the same group using shapes or colors such as lines or borders, it accepts the user's specification of functions. That is, after confirming the observation results of multiple groups, the user specifies a function to further confirm the container compartments corresponding to the function combinations. In this embodiment, regardless of the group (classification criterion), the processing for confirming the container compartments that conform to any function combination is performed. Moreover, the display control unit 133d displays a display image on the display unit 122 that clearly indicates the container compartments according to the specified function combinations. As a method of indication, it can be implemented by at least one of color differentiation and catalog addition. Furthermore, if group registration has not been performed after the container compartments have been indicated, group registration can also be performed according to the user's operation.

[0083] Figure 36 This is a diagram illustrating an example of a panel view of the fifth embodiment. Furthermore, in Figure 36 Examples of applicable measurement applications A and B are given below. Figure 36As shown, the display control unit 133d displays a picture on the board diagram that clearly indicates the housing section using color and catalog additions based on a specified function combination. Furthermore, in Figure 36 In the illustrated containment sections, effects are applied for ease of explanation, but they are actually distinguished by color. For example, the containment section in the container that serves as a desiccation buffer located on the outside is shown in gray relative to the displayed image. For example, the containment section in the container that is represented by a grid-like effect is shown in blue relative to the displayed image. In addition, as analytical information of the observation results, a graph representing the number of objects combining the containment sections of measurement application A and measurement application B is shown in the displayed image. The display control section 133d is also shown in blue (corresponding to the containment section with the grid-like effect) with respect to the graph.

[0084] Figure 37 This is a flowchart illustrating an example of the processing flow in the information processing apparatus of the fifth embodiment. Furthermore, in Figure 37 The processing flow when a board diagram is displayed is described below. In step S601, the acquisition unit 132 acquires information related to the observation results of each group from the storage device 110. In step S602, the display control unit 133d displays a display image containing the information acquired by the acquisition unit 132 related to the observation results of each group on the display unit 122. Here, the user operates the input unit 121 to select any group. The user can select multiple groups or select only one group.

[0085] In step S603, the acquisition unit 132 acquires observation results from the storage device 110, including observation images belonging to the group selected by the user. Here, the user operates the input unit 121 to specify the function combination to be verified. In step S604, the display control unit 133d displays the receiving unit according to the function combination specified by the user. In step S605, the display control unit 133d displays the analysis results. For example, the display control unit 133d displays the receiving unit according to the function combination specified by the user and displays a display image showing the analysis results of the observation results of the displayed receiving unit.

[0086] [Sixth Implementation Method] Next, the sixth embodiment will be described. In this embodiment, sometimes the same reference numerals are used to refer to the same structures as in the above embodiments, and their descriptions are omitted or simplified.

[0087] Figure 38 This is a diagram illustrating an example configuration of the information processing system according to the sixth embodiment. (See diagram below.) Figure 38As shown, the information processing system SYS includes a first terminal 30, a second terminal 40, a terminal device 80, an information processing device 100, and a cultivation system BS. The first terminal 30, the second terminal 40, the terminal device 80, and the information processing device 100 are connected to each other via a network N in a manner that enables them to communicate with each other. The network N can be, for example, any one of the Internet, a mobile communication network, and a local network, or a network composed of these multiple networks.

[0088] The terminal device 80 is composed of multiple gateway devices 80a. The gateway devices 80a are connected to the culture system BS via wired or wireless means. Furthermore, in the information processing system SYS, multiple culture systems BS are configured to be connected to the information processing device 100 via the terminal devices 80, but this is not a limitation; a single culture system BS may also be configured to be connected to the information processing device 100 via the terminal devices 80. Additionally, the information processing device 100 in the information processing system SYS can be either multiple or a single device. Furthermore, each information processing device 100 may include all the functions described in the above embodiments, or it may include them distributed among the functions. In other words, the information processing device 100 of this embodiment can be implemented via cloud computing.

[0089] In the information processing system SYS, a user-side terminal (first terminal 30, second terminal 40, etc.) can connect to the information processing device 100 and use a browser to view or manipulate the observation results. The information processing device 100, acting as a server, acquires the observation results in its acquisition unit. These observation results are obtained by photographing multiple objects contained in a container with multiple receiving sections under specified observation conditions. Furthermore, the information processing device 100 registers two or more receiving sections into the same group in its registration unit based on the classification criteria obtained from the observation conditions or observation results, and the observation results themselves. Additionally, the information processing device 100, acting as a server, acquires the observation results obtained by photographing multiple objects under specified observation conditions in its acquisition unit. Moreover, the information processing device 100, acting as an image generation unit, displays the receiving sections of containers belonging to the group corresponding to the classification criteria selected by the user at the user terminal (first terminal 30, second terminal 40, etc.) in relation to the display image of a container with multiple receiving sections (each containing multiple objects). Finally, the information processing device 100 outputs the display image generated by the image generation unit to the user terminal via network N in its output unit.

[0090] In the above-described embodiments, the information processing apparatus 100 includes, for example, a computer system. The information processing apparatus 100 reads information processing programs stored in a memory and performs various processes according to the read information processing programs. The information processing programs, for example, cause the computer to perform the following processes: acquiring observation results obtained by photographing multiple objects contained in a container with multiple receiving sections under specified observation conditions; and registering two or more receiving sections into the same group based on classification criteria obtained from the observation conditions or observation results, and the observation results. Additionally, the information processing programs, for example, cause the computer to perform the following processes: acquiring observation results obtained by photographing multiple objects under specified observation conditions; and, for display images relating to containers with multiple receiving sections (each containing multiple objects), explicitly indicating the receiving sections of containers belonging to a group corresponding to a classification criterion selected by the user. These information processing programs can be provided by recording them in a computer-readable storage medium (e.g., a non-transitory tangible media). Furthermore, in the above embodiments, when information that visually represents the analysis result is displayed as a graph, the arithmetic unit 134 of the information processing device 100 can perform calculations (e.g., accumulation, averaging) based on multiple observed images to calculate a data point displayed in the graph (e.g., the data on the horizontal axis of the graph).

[0091] Furthermore, the technical scope is not limited to the methods described in the above embodiments, etc. Sometimes, one or more elements described in the above embodiments, etc., are omitted. Additionally, the elements described in the above embodiments, etc., can be appropriately combined. Furthermore, to the extent permitted by law, all disclosures of documents cited in the above embodiments, etc., are incorporated into this specification.

Claims

1. An information processing device, comprising: The acquisition unit acquires observation results obtained by photographing multiple objects under specified observation conditions; and, The display control unit, for display images relating to containers having multiple receiving sections, clearly indicates the receiving sections of the container belonging to a group corresponding to a classification criterion selected by the user, wherein the multiple receiving sections each receive multiple objects.

2. The information processing apparatus according to claim 1, wherein, The display control unit switches the explicit display of the containment section of the container belonging to the corresponding group based on the selection of the classification criteria.

3. The information processing apparatus according to claim 1 or 2, wherein, The classification criteria are at least one of the observation conditions, including the type and amount of culture medium introduced into the containment chamber.

4. The information processing apparatus according to any one of claims 1 to 3, wherein, The classification criteria are at least one of the observation conditions, including the type and concentration of serum contained in the culture medium introduced into the containment chamber.

5. The information processing apparatus according to any one of claims 1 to 4, wherein, The classification criteria are at least one of the observation conditions, including the type, concentration, exposure period, and exposure timing of the agent introduced into the containment unit.

6. The information processing apparatus according to any one of claims 1 to 5, wherein, The classification criteria are at least one of the observation conditions, including the type and quantity of the objects placed in the containment unit.

7. The information processing apparatus according to any one of claims 1 to 6, wherein, The classification criteria include at least one of the observation conditions, including temperature settings, humidity settings, ambient gas supply settings, and light output settings within the space containing the container.

8. An information processing method, comprising: The observation results are obtained by photographing multiple objects contained in a container with multiple containment sections under specified observation conditions; as well as Two or more of the containment units are registered as the same group based on the classification criteria obtained from the observation conditions or the observation results, and the observation results.

9. An information processing program that causes a computer to perform the following processes: To obtain observation results by photographing multiple objects contained in a container with multiple containment sections under specified observation conditions; and Two or more of the containment units are registered as the same group based on the classification criteria obtained from the observation conditions or the observation results, and the observation results.

10. An information processing system that performs processing via cloud computing, wherein, Equipped with a server The server has the following features: The acquisition unit acquires the observation results obtained by photographing multiple objects contained in a container with multiple containment sections under specified observation conditions; as well as The registration department registers two or more of the accommodation departments into the same group based on the classification criteria obtained from the observation conditions or the observation results, and the observation results.

Images