[go: up one dir, main page]

WO2024053633A1 - Dispositif de traitement d'informations, système de traitement d'informations, procédé de traitement d'informations, et programme - Google Patents

Dispositif de traitement d'informations, système de traitement d'informations, procédé de traitement d'informations, et programme Download PDF

Info

Publication number
WO2024053633A1
WO2024053633A1 PCT/JP2023/032334 JP2023032334W WO2024053633A1 WO 2024053633 A1 WO2024053633 A1 WO 2024053633A1 JP 2023032334 W JP2023032334 W JP 2023032334W WO 2024053633 A1 WO2024053633 A1 WO 2024053633A1
Authority
WO
WIPO (PCT)
Prior art keywords
image data
information processing
information
image
family
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/JP2023/032334
Other languages
English (en)
Japanese (ja)
Inventor
裕介 山下
尚洋 有賀
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.)
Evident Corp
Original Assignee
Evident 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 Evident Corp filed Critical Evident Corp
Publication of WO2024053633A1 publication Critical patent/WO2024053633A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00—Microscopes
    • G02B21/36—Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Definitions

  • the disclosure of this specification relates to an information processing device, an information processing system, an information processing method, and a program.
  • Patent Document 1 Various data obtained during the research process are important assets related to research activities, and their appropriate acquisition and use are highly expected. Among these, techniques related to data acquisition are described in, for example, Patent Document 1.
  • Patent Document 1 describes a technique that allows full-scale observation of a specimen to be started easily and in a short time. By using the technology described in Patent Document 1, it is possible to significantly reduce the time and effort required for pre-observation preparation work, so it is possible to concentrate on research activities and appropriately acquire various data.
  • an object of one aspect of the present invention is to provide a new data management mechanism that promotes the use of image data.
  • An information processing device includes a storage unit that stores a plurality of image data, each of which has a family ID that is uniquely numbered only when an image is acquired with experimental equipment and is not updated during image processing; a control unit that outputs display information for displaying a list of one or more image data included in a data set from a plurality of image data on a screen to the terminal in response to a request from a terminal having the device; , includes group display information in which one or more image data included in the data set are grouped by family ID.
  • An information processing system includes a first information processing apparatus that is the information processing apparatus according to the above one aspect, and a second information processing apparatus that includes a control unit that assigns a family ID to image data acquired by experimental equipment.
  • An information processing device includes a control unit that assigns a family ID to image data acquired by experimental equipment.
  • An information processing method receives requests from terminals each having a display device, each of which has a family ID that is uniquely assigned only when an image is acquired with experimental equipment and is not updated during image processing.
  • group display information is generated in which one or more image data included in the dataset are grouped by family ID from the plurality of image data, and one or more image data included in the dataset is generated.
  • a computer executes a process of outputting display information including group display information, which is display information for displaying a list of two or more image data on a screen, to a terminal.
  • a program receives a request from a terminal having a display device, and sends a plurality of family IDs each having a family ID that is uniquely assigned only when an image is acquired with experimental equipment and is not updated during image processing.
  • group display information is generated in which one or more image data included in the dataset are grouped by family ID from the plurality of image data, and one or more image data included in the dataset is generated.
  • the computer executes a process of outputting display information including group display information, which displays a list of image data of , on a screen, to a terminal.
  • FIG. 1 is a diagram showing the main configuration of an information processing system according to an embodiment.
  • 2 is a diagram illustrating a data management structure in the server shown in FIG. 1.
  • FIG. 2 is a diagram illustrating a functional configuration of a server shown in FIG. 1.
  • FIG. 2 is a diagram for explaining two types of IDs given to image data by the edge terminal shown in FIG. 1.
  • FIG. 2 is a diagram showing a specific example of the configuration of the information processing system shown in FIG. 1.
  • FIG. 6 is a diagram illustrating the configuration of the microscope system shown in FIG. 5.
  • FIG. 3 is a diagram for explaining a method of acquiring identification information for identifying a specimen container.
  • 7 is a diagram illustrating a window displayed at the start of observation using the microscope system shown in FIG. 6.
  • FIG. 7 is a diagram showing an example of a flowchart of observation preparation processing performed by the microscope system shown in FIG. 6.
  • FIG. 10 is a diagram illustrating a window displayed when the observation preparation process shown in FIG. 9 ends.
  • FIG. FIG. 3 is a diagram illustrating a window for inputting specimen information. It is a figure showing an example of output of measurement data.
  • FIG. 3 is a diagram showing information included in image data. It is an example of a flowchart of uploader setting processing performed by a control device.
  • 15 is a diagram illustrating a window displayed in the upload setting process shown in FIG. 14.
  • FIG. It is an example of a flowchart of upload processing performed by a control device.
  • FIG. 3 is a diagram for explaining a method of selecting a file to be uploaded.
  • FIG. 3 is a diagram illustrating a window displayed after login.
  • FIG. 3 is a diagram illustrating a window displayed when selecting a theme.
  • FIG. 3 is a diagram illustrating a window displayed when selecting a data set.
  • FIG. 3 is a diagram illustrating a window displayed when a thumbnail is selected. This is an example of a calendar view.
  • This is an example of a search window.
  • FIG. 6 is a diagram illustrating a state in which tabs in the search window are opened.
  • FIG. 6 is a diagram illustrating another tab in the search window opened.
  • FIG. 7 is a diagram showing a state in which yet another tab within the search window is opened.
  • FIG. 3 is a diagram for explaining re-registration of image data.
  • FIG. 7 is a diagram showing an example of a window displayed when selecting a data set after re-registration processing.
  • FIG. 6 is a diagram illustrating an example of a window displayed when group display information is selected.
  • 1 is a diagram illustrating a hardware configuration of a computer for realizing an information processing device.
  • FIG. 1 is a diagram showing the main configuration of an information processing system according to an embodiment.
  • the information processing system 1 shown in FIG. 1 allows a plurality of users to appropriately cooperate on the information processing system 1 by sharing measurement data obtained through various experiments and the like among the plurality of users.
  • the information processing system 1 includes at least a server 60 placed on the cloud, an edge terminal 70 and experimental equipment 80 placed on the edge side.
  • the server 60 is an information processing device placed on the cloud, and is an example of the first information processing device of the information processing system 1.
  • the server 60 manages measurement data acquired by the experimental equipment 80.
  • the server 60 may be, for example, a virtualized information processing device, and physically may be a single device or a collection of multiple devices. By organizing and managing the measurement data, the server 60 can provide a client terminal (not shown) with efficient access to a large amount of data obtained through experiments and the like and appropriate access control.
  • the experimental equipment 80 is a device that acquires measurement data, and is, for example, a microscope or other measurement device.
  • Experimental equipment 80 is typically an imaging device that acquires image data, but may be any other measurement device that acquires measurement data.
  • measurement data acquired by the experimental equipment 80 is not limited to experimental data obtained in experiments, but may also be data measured for purposes other than experiments.
  • image data will be mainly described as measurement data hereinafter, measurement data also includes data other than image data.
  • the edge terminal 70 is an information processing device placed on the edge side, and is an example of a second information processing device of the information processing system 1.
  • the edge terminal 70 is a device that adds metadata to measurement data acquired by the experimental equipment 80.
  • the metadata includes at least an identifier (hereinafter referred to as ID). That is, the edge terminal 70 plays a role as a labeling device that assigns an ID to measurement data acquired using the experimental equipment 80.
  • the edge terminal 70 uploads measurement data with metadata added to the server 60 and downloads measurement data managed by the server 60 from the server 60. That is, the edge terminal 70 also plays a role as a communication device that exchanges measurement data between the edge side (experimental equipment 80) and the cloud (server 60).
  • the edge terminal 70 may process the measurement data to be uploaded or the measurement data to be downloaded.
  • the measurement data is typically image data. That is, the edge terminal 70 may play a role as an image processing device that processes image data.
  • the edge terminal 70 may control the experimental equipment 80. That is, the edge terminal 70 may play a role as a control device that controls the experimental equipment 80.
  • the edge terminal 70 may be composed of a plurality of devices, each of which performs a part of the above-mentioned functions.
  • the edge terminal 70 may include, for example, a control device/labeling device and an image processing device/communication device.
  • the information processing system 1 only needs to include the experimental equipment 80 and one or more edge terminals 70 on the edge side. It is desirable that the edge terminal 70 includes a display device.
  • FIG. 2 is a diagram illustrating a data management structure in the server 60 shown in FIG. 1.
  • the top layer of the data management structure of the server 60 is a tenant.
  • a tenant is a unit of service provision, and is provided, for example, to a specific client organization. Multiple tenants each correspond to different cloud storages (for example, virtualized storage), and therefore data access between tenants is not possible.
  • the lower layer of tenants is the theme.
  • the theme demarcates the scope of information sharing within the tenant, and corresponds to, for example, research purposes. By having users belong to each theme, access to data within the theme is controlled at the user level. That is, a theme is a unit of access control.
  • Chapters separate data within a theme. Chapters correspond to various projects that occur for research purposes, for example, and are also used as units for status management. Measurement data uploaded from the edge terminal 70 to the server 60 is registered in the data set.
  • a data set is a collection of measurement data, and can collectively store a large amount of image data obtained through experiments and the like. Data sets can be associated with chapters.
  • FIG. 3 is a diagram illustrating the functional configuration of the server 60 shown in FIG. 1.
  • the server 60 includes a control section 61 and a storage section 62.
  • the control section 61 further includes an input control section 61a, a management control section 61b, and a display control section 61c. The flow from when measurement data is input to the server 60 until display information is output will be described below with reference to FIG.
  • the edge terminal 70 specifies a theme, which is a unit of access control, and uploads the measurement data to the server 60. Thereby, the sharing range of measurement data by the server 60 can be controlled to an appropriate range.
  • the input control unit 61a classifies the measurement data within the specified theme based on the metadata included in the measurement data, and creates a data set corresponding to the classification. register. This allows a large amount of data to be efficiently compiled.
  • the input control unit 61a classifies the measurement data according to the content of specific items of metadata. More specifically, the input control unit 61a classifies the measurement data based on, for example, an experiment name to be described later, and registers it in a dataset named with the same name as the experiment name, for example. Thereby, measurement data having a common experiment name can be managed together in the same data set. Note that the input control unit 61a classifies the measurement data based on the combination of the experiment name and other metadata, and names the measurement data with a name related to the combination of the experiment name and other metadata (experiment equipment information), for example. may be registered in the dataset. Thereby, measurement data having at least a common experiment name can be managed together in the same data set.
  • the management control unit 61b associates the dataset in which the measurement data is registered with the chapter provided within the theme. Specifically, the management control unit 61b associates the data set with a specific chapter according to an explicit instruction from the user.
  • a dataset is, for example, exclusively associated with a chapter. This allows the timing of data collection and the timing of data organization to be separated.
  • the input control unit 61a and the management control unit 61b organize the data at a level that requires access control when collecting data (uploading), while also responding to instructions from the user for more detailed data organization. It can be done at any time depending on the situation.
  • the display control unit 61c displays information managed by the server 60. Specifically, the display control unit 61c creates display information using data such as various themes, notes, chapters, and data sets managed by the server 60 in response to a request from a client terminal. Send to client terminal.
  • measurement data is sorted into themes, which are units of access control, when uploaded, and further managed as data sets based on metadata (for example, experiment name). Further, a data set can be associated with a chapter, which is a unit of status management, after the fact. This makes it possible to reliably control access to measurement data, which is an important asset, and to organize it without imposing an excessive burden on users such as researchers. Therefore, the server 60 can provide users with a new mechanism for appropriately managing and sharing data among multiple users.
  • FIG. 4 is a diagram for explaining two types of IDs given to image data by the edge terminal 70 shown in FIG. 1. Two types of IDs added to image data as metadata will be explained with reference to FIG. 4.
  • the edge terminal 70 includes a control unit that assigns two types of IDs to the image data acquired by the experimental equipment 80. Both of the two types of IDs given by the control unit are identifiers that are uniquely numbered when images are acquired by the experimental equipment 80, and are, for example, GUIDs (Globally Unique Identifiers).
  • control unit of the edge terminal 70 may add other metadata to the image data, such as an experiment name used for registration in the dataset.
  • the control unit of the edge terminal 70 controls the experimental equipment 80 so that the experimental equipment 80 acquires image data
  • the control unit controls the above-mentioned two types in accordance with the timing of acquiring image data.
  • An ID may be assigned.
  • One of the two types of ID is a unique ID that is numbered at the time of image acquisition and updated at the time of image processing.
  • the other is a family ID that is numbered only at the time of image acquisition.
  • the family ID differs from the unique ID in that it is not updated during image processing.
  • FIG. 4 shows how the family ID "A" and the unique ID "B" are assigned to the image data 2 at the time of image acquisition.
  • the unique ID is updated every time the image is processed. For example, as shown in FIG. 4, "B” is updated to “C” by deconvolution processing, and “C” is updated to "D” by count & measurement processing.
  • the image data 3 newly generated by the deconvolution process is given a unique ID "C”
  • the image data 4 newly generated by the count & measurement process is given a unique ID "D”. Ru.
  • the family ID is numbered only when the image is acquired, it is not updated and is maintained even if the image is processed. For example, as shown in FIG. 4, the family ID remains "A" even after deconvolution processing or counting and measurement processing is performed. In other words, the family ID is shared between the original image data (image data 2) and the image data newly generated by processing the image data (image data 3, image data 4).
  • the control unit of the edge terminal 70 assigns two types of IDs to image data not only when the experimental equipment 80 acquires the image but also when the edge terminal 70 processes the image. More specifically, when processing image data having a unique ID and a family ID to generate new image data, the control unit of the edge terminal 70 adds the uniqueness of the image data before processing to the new image data. A newly assigned unique ID different from the ID is assigned, and the same family ID as the family ID of the image data before processing is assigned.
  • the control unit of the edge terminal 70 By assigning a family ID to image data by the control unit of the edge terminal 70, multiple pieces of image data generated from the same image data can be easily identified using the family ID. Therefore, in particular, the organization of image data within a data set can be automated.
  • the data set managed by the server 60 is created, for example, in units of experiment names.
  • the plurality of image data before and after processing are based on image data acquired in the same experiment, they have the same experiment name and are necessarily managed together in a single data set.
  • the family ID it is possible to automatically organize the image data within the dataset. This greatly reduces the effort required for researchers to manually organize the huge amount of image data obtained during the research process.
  • FIG. 5 is a diagram showing a specific example of the configuration of the information processing system 1 shown in FIG. 1.
  • the information processing system 1 includes one or more measurement systems (a microscope system 10, a culture monitoring system 20, a microscope system 40), a client device 50 having a display device, and a system placed on a cloud.
  • a server 60 is provided.
  • Each of the one or more measurement systems corresponds to the edge terminal 70 and laboratory equipment 80 shown in FIG.
  • the client device 50 can be omitted, and instead of the client device 50, the control device 12 of the microscope system 10, the control device 23 of the culture monitoring system 20, and the control device 42 of the microscope system 40, which will be described later, function as client terminals. You may.
  • microscope system 10 culture monitoring system 20, and microscope system 40, which are examples of measurement systems, will be explained.
  • the microscope system 10 includes a microscope 11 and a control device 12 that controls the microscope 11.
  • the microscope 11 is, but is not particularly limited to, a fluorescence microscope, for example, a laser scanning microscope.
  • the microscope 11 is an example of the experimental equipment 80, and the control device 12 is an example of the edge terminal 70.
  • the culture monitoring system 20 includes one or more cell monitors (cell monitor 21, cell monitor 22) that are imaging devices that perform time-lapse imaging within the incubator 30, and a control device 23 that controls the cell monitors.
  • One or more cell monitors are an example of the experimental equipment 80, and the control device 23 is an example of the edge terminal 70.
  • the microscope system 40 includes a microscope 41 and a control device 42 that controls the microscope 41.
  • the microscope 41 is not particularly limited, it is a microscope compatible with bright field observation and phase contrast observation, and is, for example, a box-type microscope in which imaging and the like are performed with a specimen housed inside a housing.
  • the microscope 41 is an example of the experimental equipment 80, and the control device 42 is an example of the edge terminal 70.
  • FIG. 6 is a diagram illustrating the configuration of the microscope system 40 shown in FIG. 5.
  • the microscope system 40 automates at least a portion of the various adjustment and setting tasks (hereinafter referred to as observation preparation tasks) that users had to perform by themselves before starting observation in conventional microscope systems. This makes it possible to observe specimens using high-quality microscopic images while reducing the user's workload.
  • observation preparation tasks the various adjustment and setting tasks that users had to perform by themselves before starting observation in conventional microscope systems. This makes it possible to observe specimens using high-quality microscopic images while reducing the user's workload.
  • FIG. 6 the configuration of the microscope system 40 will be described in further detail with reference to FIG. 6.
  • the microscope system 40 includes a microscope 41, a control device 42, and a microscope controller 43.
  • the microscope controller 43 is a device that directly controls the microscope 41
  • the control device 42 is a device that controls the microscope 41 directly or indirectly via the microscope 41.
  • the microscope 41 is communicably connected to a control device 42 and a microscope controller 43, and the control device 42 and the microscope controller 43 are also communicably connected to each other.
  • the microscope 41 includes a macro image acquisition section 200 that acquires images at a relatively low observation magnification, and a micro image acquisition section 300 that acquires images at a higher observation magnification than the observation magnification of the macro image acquisition section 200. .
  • the microscope 41 further includes a motorized stage 101 provided with a container holder holding section 110. Note that hereinafter, the image acquired by the macro image acquisition unit 200 will be referred to as a macro image, and the image acquired by the micro image acquisition unit 300 will be referred to as a micro image, as necessary.
  • the electric stage 101 has a motor 102 and an origin sensor 103.
  • the electric stage 101 moves in a direction (XY direction) perpendicular to the optical axes of both the macro image acquisition unit 200 and the micro image acquisition unit 300 as the motor 102 rotates.
  • Motorized stage 101 is controlled by microscope controller 43.
  • the macro image acquisition unit 200 includes a macro light source 201, a macro optical system 202, and an imaging device 203. Furthermore, the macro image acquisition unit 200 may include an illumination optical system that irradiates the subject with illumination light emitted from the macro light source 201.
  • the macro light source 201 is, for example, a lamp light source such as a xenon lamp, or a light emitting diode (LED).
  • the observation magnification of the macro optical system 202 may be such that at least a specimen container, which will be described later, can fit in the field of view of the macro optical system 202, and more preferably, the number of container holders held in the container holder holding section 110 is one or more. The magnification is such that it fits into two macro images.
  • the imaging device 203 is a CCD (Charge-Coupled Device) image sensor, a CMOS (Complementary MOS) image sensor, or the like.
  • the macro optical system 202 focuses the light that has passed through the subject onto the imaging device 203, so that the imaging device 203 images the subject and acquires a macro image of the subject.
  • the imaging device 203 further outputs image data of the subject to the control device 42 via the microscope controller 43.
  • the amount of illumination light emitted from the macro light source 201 or the amount of illumination light irradiated onto the subject is controlled by the microscope controller 43.
  • the imaging operation performed by the imaging device 203 and the like may also be controlled by the microscope controller 43.
  • the micro image acquisition unit 300 includes a micro light source 301, a condenser 302, a plurality of objective lenses (objective lens 304, objective lens 305) attached to a revolver 306, and an imaging device 307.
  • the micro image acquisition unit 300 can acquire images using a plurality of observation methods, and in this example, it can acquire images using a bright field observation method and a phase contrast observation method.
  • the capacitor 302 is compatible with a plurality of observation methods. For example, when acquiring an image by a phase contrast observation method, a ring slit is placed inside the capacitor 302, as shown in FIG.
  • the ring slit is arranged to be freely insertable and removable, and for example, when acquiring an image by bright field observation, the condenser 302 is used with the ring slit removed from the optical path.
  • the micro image acquisition unit 300 may include a plurality of capacitors depending on the observation method.
  • the objective lens 304 is a phase difference objective lens used in a phase difference observation method, and includes a phase film at a position corresponding to the ring slit.
  • the objective lens 305 is an objective lens used in bright field observation.
  • the revolver 306 is a switching mechanism that switches the objective lens placed on the optical axis.
  • the revolver 306 also functions as a focusing device that moves the objective lens in the optical axis direction by moving along the optical axis.
  • the imaging device 307 is a CCD (Charge-Coupled Device) image sensor, a CMOS (Complementary MOS) image sensor, or the like.
  • the illumination light emitted from the micro light source 301 is irradiated onto the subject via a condenser. Thereafter, the light that has passed through the object is focused on the imaging device 307 via an objective lens and an imaging lens (not shown), so that the imaging device 307 images the object and obtains a micro image of the object.
  • the imaging device 307 further outputs image data of the subject to the control device 42 via the microscope controller 43. Note that the amount of illumination light emitted from the micro light source 301 or the amount of illumination light irradiated onto the subject is controlled by the microscope controller 43. Further, the imaging operation performed by the imaging device 307 may also be controlled by the microscope controller 43.
  • the revolver 306 (more specifically, a mechanism that moves the revolver 306 in the optical axis direction) has a motor and an origin sensor (not shown).
  • the revolver 306 moves in the optical axis direction (Z direction) of the micro image acquisition unit 300 as the motor rotates.
  • the revolver 306 is controlled by the microscope controller 43.
  • the revolver 306 functions as a focusing device, but instead of the revolver 306, the electric stage 101 may move in the optical axis direction.
  • the microscope controller 43 is a controller that controls the microscope 41, and controls all electric devices included in the microscope 41 (excluding the imaging device 203 and the imaging device 307) under the control of the control device 42. Specifically, the microscope controller 43 performs, for example, a process of controlling the motorized stage 101 to change the observation position, a process of controlling the revolver 306 to change the focus, and a process of changing the objective lens and condenser to change the observation magnification or observation method. , processing to control and dim the light sources (macro light source 201 and micro light source 301 ), processing to control imaging operations performed by the imaging device 203 and the imaging device 307 , and the like. The microscope controller 43 also performs a process of notifying the control device 42 of the state of the microscope 41.
  • the control device 42 is an example of a control unit that controls the entire microscope system 40, and controls the microscope 41 and the microscope controller 43.
  • the control device 42 is, for example, a computer including a processor and a memory.
  • the control device 42 may be realized by a general-purpose computer such as a workstation or a personal computer, or may be realized by a dedicated computer.
  • FIG. 7 is a diagram for explaining a method of acquiring identification information for identifying a specimen container.
  • the microscope system 40 has a function of acquiring identification information for identifying a specimen container and specifying the type of specimen container based on the acquired identification information.
  • a method for acquiring identification information will be described with reference to FIG. 7.
  • an opening 111 is formed in the container holder holding part 110 provided on the electric stage 101.
  • the microscope system 40 can image specimens contained in various specimen containers.
  • a plurality of Hall elements 112 Hall element 112a, Hall element 112b, Hall element 112c, which are non-contact magnetic sensors, are provided at predetermined positions in the container holder holding part 110.
  • the slide glass holder 120 When observing the specimen S fixed on the slide glass 160, the slide glass holder 120, which is a type of container holder, may be installed in the container holder holding section 110.
  • the slide glass holder 120 can hold up to three slide glasses at the same time by fitting the slide glasses into openings 121 (openings 121a, openings 121b, and openings 121c) formed in the slide glass holder 120.
  • openings 121 openings 121a, openings 121b, and openings 121c
  • the magnet 122a is located at a position facing the Hall element 112a
  • the magnet 122b is located at a position facing the Hall element 112b
  • the magnet 122b is located at a position facing the Hall element 112c.
  • a magnet 122c is fixed to. Therefore, when the slide glass holder 120 is installed in the container holder holding part 110, all three Hall elements 112 detect the magnet.
  • the dish holder 130 which is a type of container holder, may be installed in the container holder holding section 110.
  • the dish holder 130 can hold up to three dishes at the same time by fitting the dishes into openings 131 (openings 131a, openings 131b, and openings 131c) formed in the dish holder 130.
  • two magnets 132 are fixed to the dish holder 130. More specifically, when the dish holder 130 is installed in the container holder holding part 110, a magnet 132a is fixed at a position facing the Hall element 112a, and a magnet 132b is fixed at a position facing the Hall element 112b. Therefore, when the dish holder 130 is installed in the container holder holding part 110, the two Hall elements 112 detect the magnets.
  • the multi-well plate 140 itself may be installed in the container holder holding section 110. Note that no magnet is fixed to the multiwell plate 140. Therefore, when the multiwell plate 140 is installed in the container holder holding part 110, none of the three Hall elements detects the magnet.
  • a general-purpose container holder 150 which is a type of container holder, may be installed in the container holder holding section 110. Since the general-purpose container holder 150 has an opening 151 formed therein, the specimen S can be observed by placing the flask 180 on the general-purpose container holder 150 so that the specimen S is positioned above the opening 151.
  • one magnet 152 is fixed to the general-purpose container holder 150. More specifically, when the general-purpose container holder 150 is installed in the container holder holding part 110, the magnet 152 is fixed at a position facing the Hall element 112a.
  • one Hall element 112 detects the magnet. Note that a specimen container other than the flask 180 may be placed in the general-purpose container holder 150.
  • the control device 42 acquires information regarding the number of magnets detected by the Hall element 112 via the microscope controller 43, and determines the type of specimen container placed on the motorized stage 101 based on the acquired information. can be specified. That is, in the microscope system 40, the control device 42 acquires information regarding the number of detected magnets as identification information for identifying the type of specimen container in which the specimen is placed, and determines whether the specimen is placed based on the acquired identification information. Identify the type of specimen container.
  • FIG. 8 is a diagram illustrating a window 1000 that is displayed at the start of observation using the microscope system 40 shown in FIG. 6.
  • FIG. 9 is a diagram showing an example of a flowchart of observation preparation processing performed by the microscope system 40 shown in FIG. 6.
  • FIG. 10 is a diagram illustrating a window 1010 that is displayed when the observation preparation process shown in FIG. 9 ends.
  • FIG. 11 is a diagram illustrating a window 1020 for inputting specimen information.
  • FIG. 12 is a diagram showing an example of output of measurement data.
  • FIG. 13 is a diagram showing information included in image data.
  • a window 1000 is displayed on the control device 42.
  • Window 1000 is provided with an area for specifying an experiment name.
  • the information entered by the user in this area is later added to the image data as an experiment name.
  • the experiment name given to the image data is an example of metadata.
  • the observation preparation process shown in FIG. 9 is started in the microscope system 40.
  • the microscope system 40 first moves the specimen container placed in the container holder holding section 110 to the macro photography position (step S1).
  • the microscope system 40 identifies the type of specimen container (step S2).
  • the Hall element 112 provided in the container holder holding part 110 outputs identification information for identifying the type of specimen container by detecting the number of magnets corresponding to the container holder, and the control device 42 outputs identification information for identifying the type of specimen container. Identify the type of specimen container based on the information.
  • the microscope system 40 changes the settings of the microscope system 40 to settings according to the specified type of specimen container (step S3).
  • the control device 42 reads out a parameter set corresponding to the type of specimen container specified in step S2, and sets it in the microscope system 40.
  • the parameter set includes, for example, parameters such as acceleration, initial speed, and maximum speed of electric stage 101.
  • the microscope system 40 performs macro photography (step S4).
  • the control device 42 controls the microscope 41 and the microscope controller 43, so that the macro image acquisition unit 200 photographs the subject.
  • the macro image acquisition section 200 first photographs the upper half of the container holder held by the container holder holding section 110.
  • the microscope controller 43 moves the motorized stage 101 so that the lower half of the container holder enters the field of view of the macro image acquisition unit 200.
  • the electric stage 101 operates according to the parameters set in step S3.
  • the macro image acquisition section 200 photographs the lower half of the container holder held by the container holder holding section 110.
  • the macro image acquisition unit 200 outputs two macro images showing the entire container holder to the control device 42. Note that in macro photography, the entire container holder may be photographed in one image.
  • the microscope system 40 When macro photography is completed, the microscope system 40 performs macro image analysis processing (step S5).
  • the control device 42 performs image analysis processing on the macro image acquired in step S4, and specifies the micro photography position.
  • the control device 42 performs object detection on the macro image, for example, and specifies a micro-photographing position suitable for micro-observation based on the result. A plurality of micro-imaging positions may be specified by object detection.
  • the microscope system 40 moves the specimen container placed in the container holder holding part 110 to the micro-photographing position (step S6), and performs focus adjustment (step S7).
  • the focusing method is not particularly limited, but the revolver 306 may be moved to a predetermined position for each specimen container, or focusing may be performed using a known autofocus technique.
  • FIG. 10 shows how the control device 42 displays the micro image M2 (live image) acquired in step S8 and the macro image M1 acquired in step S4.
  • a macro image M1 is displayed in an area 1011 of a window 1010 shown in FIG. 10, and a micro image M2 (live image) is displayed in an area 1012.
  • a bounding box BB displayed on the macro image M1 indicates a micro photography position.
  • the user By performing the above observation preparation process in the microscope system 40, the user (researcher) can start observing the specimen from an appropriate position according to the specimen container without performing any troublesome work. . Then, after the observation preparation process, when the photographing button is pressed, the microscope system 40 photographs the inside of the bounding box BB (micro photographing position) shown in the macro image M1, and acquires image data. Note that the position of the bounding box BB may be adjustable by the user.
  • the acquired image data is stored in the control device 42.
  • the control device 42 (control unit) may add various types of metadata to the image data in addition to the above-described unique ID and family ID.
  • control device 42 may provide the experiment name that the user inputs in advance on the window 1000 shown in FIG. 8 as metadata. Furthermore, if the user inputs information regarding the specimen in each area of the window 1020 as shown in FIG. Information regarding the specimen (specimen name, specimen comment information) may be added as metadata. Furthermore, the control device 42 includes device information (experimental equipment information) of the microscope 41, information on the experiment date and time at which the image data was acquired, setting information (imaging parameters) of the microscope 41, and information about the microscope 41 in observation preparation processing. Information about the type of specimen container detected (container information) and information about the imaging position (in this example, specimen position information indicating which of the three glass slides the specimen corresponds to) are automatically added as metadata. At least one of these pieces of information may be added to the image data as metadata.
  • the acquired image data is automatically sorted and stored in a date/time folder and a sample folder in a lower layer within the control device 42. For example, if photographs were taken at three photographing positions, three sample folders (sample A, sample B, sample C) are created under the date and time folder, and the corresponding specimens in each folder are created as shown in Figure 12. image data is stored. In addition to the image data, the folder may also contain other measurement data (for example, xml data). Note that the image data of the micro image acquired by the micro image acquisition unit 300 is composed of uncompressed image data and metadata, for example, as shown in FIG. 13, and the metadata includes the above-mentioned data. .
  • image data and image files have been described without making any particular distinction, but image data may refer to the entire image file, or only the image portion of the image file (for example, the uncompressed image data mentioned above).
  • Adding metadata to image data typically means including (embedding) metadata in an image file.
  • metadata is added to image data by including the metadata in the image file.
  • image data (image portion) and metadata are appropriately associated, these data may be managed in separate files.
  • An image data file (image file) to which metadata is added is generated for each shooting position.
  • image file image file
  • three image files are generated and metadata is added to each image file.
  • the three image files have different not only unique IDs but also different family IDs.
  • image data taken at the same xy position in a series of processes is managed as a single image file and has the same family ID.
  • a plurality of image data at different z positions acquired by z-stack imaging are managed as single image data in a single image file.
  • a plurality of image data obtained by time-lapse photography and captured at different times are also managed as a single image data in a single image file.
  • a plurality of image data corresponding to a plurality of different wavelengths obtained through a plurality of channels are also managed as a single image data in a single image file.
  • FIG. 14 is an example of a flowchart of the uploader setting process performed by the control device 42.
  • FIG. 15 is a diagram illustrating a window 1030 displayed in the upload setting process shown in FIG. 14.
  • FIG. 16 is an example of a flowchart of the upload process performed by the control device 42.
  • FIG. 17 is a diagram for explaining a method of selecting a file to be uploaded. In this example, a case will be described in which an uploader (software) is installed in the control device 42, but the uploader may be installed in the client device 50 or other devices.
  • the control device 42 installs the uploader (step S11).
  • a window 1030 shown in FIG. 15 is displayed on the control device 42.
  • a login screen to the information processing system 1 is displayed.
  • the control device 42 sets the upload destination (step S12).
  • the control device 42 sets the upload destination by transmitting the tenant and theme specified by the user to the server 60 as upload destination information.
  • the tenant and theme set as the upload destination are displayed in area 1032 and area 1033 shown in FIG. 15, for example.
  • the control device 42 registers the device key in the uploader (step S13).
  • the control device 42 obtains its own device key and transmits the device key to the server 60.
  • the server 60 confirms that the sender is the control device 42 that has successfully logged in, it requests the control device 42 to register the device key.
  • the control device 42 registers its own device key with the uploader.
  • the control device 42 specifies the file to be uploaded (step S21). Specifically, as shown in FIG. 17, by dragging an image file (image data) to be uploaded to the area 1034, the control device 42 identifies the upload target.
  • control device 42 uploads the file (image data) specified in step S21 to the server 60 (step S22). Files that have been uploaded are displayed in area 1035.
  • the files uploaded to the server 60 are registered in the data set by the server 60.
  • the control unit 61 of the server 60 registers the image data to be uploaded into the data set for each experiment name assigned to the image data.
  • a data set is generated for each experiment name and stored in the storage unit 62, so that the image data is automatically organized on the server 60.
  • the user explicitly selects the target file to be uploaded, but the uploader monitors a specific folder in the control device 42 and periodically sends the image data in that folder to the server 60. It may be set to upload.
  • the server 60 generates a data set for each experiment name and stores it in the storage unit 62, so the image data is automatically organized on the server 60.
  • a plurality of image data are stored in the storage unit 62.
  • Each of the plurality of image data has a unique ID and a family ID, as described above.
  • the information processing system 1 can organize the image data stored in the storage unit 62 and provide it to the user.
  • a method for referring to image data uploaded to the server 60 on a client terminal will be explained with reference to FIGS. 18 to 26.
  • a case where image data is referred to from the client device 50 will be described as an example.
  • FIG. 18 is a diagram illustrating a window 1040 that is displayed after logging into the information processing system 1.
  • FIG. 19 is a diagram illustrating a window 1070 that is displayed when selecting a theme.
  • FIG. 20 is a diagram illustrating a window 1090 displayed when selecting a data set.
  • FIG. 21 is a diagram illustrating a window 1100 that is displayed when selecting a thumbnail.
  • FIG. 22 is an example of the calendar view 1110.
  • FIG. 23 is an example of the search window 1120.
  • FIG. 24 is a diagram showing the tab 1124 in the search window 1120 opened.
  • FIG. 25 is a diagram showing another tab 1125 in the search window 1120 opened.
  • FIG. 26 is a diagram showing yet another tab 1126 in the search window 1120 opened.
  • a window 1040 shown in FIG. 18 is displayed on the client device 50.
  • the window 1040 is divided into a theme list area 1050 and a log area 1060.
  • the theme list area 1050 is an area where a list of themes to which the logged-in user (hereinafter referred to as logged-in user) belongs is displayed.
  • signboards theme signboard 1051, theme signboard 1052
  • a button 1053 for creating a new theme is also provided.
  • the theme signboard shows the name of the theme (“Theme”), users who can access the theme (“Member”), the launch date of the theme (“Start Date”), and the chapters in progress within the theme.
  • the number (“Status”), etc. are described. Further, the number of images, the number of attached files, and the number of notes within the theme are written next to the icons representing images, attached files, and notes, respectively.
  • the logged-in user can understand at a glance the theme to which he or she belongs and an overview of that theme.
  • the log area 1060 is an area where the contents of operations for the theme to which the logged-in user belongs are displayed as a list as a log.
  • four logs (log 1061, log 1062, log 1063, and log 1064) are displayed.
  • a log 1061 shows operations on notes
  • logs 1062 to 1064 show operations on data sets.
  • the button 1065 By pressing the button 1065 at the right end of the log, the object (note, data set) can be displayed. Further, a button 1066 is pressed to associate a data set with a chapter.
  • a window 1070 shown in FIG. 19 is displayed on the client device 50.
  • a data set list area 1080 shown in FIG. 19 is displayed.
  • signboards dataset signboard 1081, dataset signboard 1082, dataset signboard 1083 corresponding to the datasets associated with the selected theme are arranged.
  • the dataset signboard displays the name of the dataset (“Dataset”), the device that acquired the image data in the dataset (“Device”), and a thumbnail 1084 of the image data registered in the dataset. Displayed.
  • five image data are registered in dataset A31, two image data are registered in dataset A32, and two image data are registered in dataset A33.
  • the dataset signboard functions as a shortcut to the image data in the dataset, and by selecting the dataset signboard, a list of thumbnails of the image data in the dataset is displayed.
  • FIG. 20 is a diagram illustrating a list of thumbnails of image data in the data set A32 displayed in the window 1090.
  • a dataset area 1095 shown in FIG. 20 is displayed.
  • thumbnails (thumbnail 1093, thumbnail 1094) of image data in the data set are arranged.
  • the control unit 61 displays a list of image data (as thumbnails) included in the data set A 32 from the plurality of image data stored in the storage unit 62 on the screen in response to a request from the client device 50. Display information is output to the client device 50.
  • the dataset area 1095 also includes an icon 1091 for filtering image data and an icon 1092 for sorting image data.
  • FIG. 21 is a diagram illustrating how image data is displayed.
  • image data corresponding to thumbnail 1093 is displayed in window 1100, as shown in FIG.
  • an image area 1101 for displaying image data and an adjustment area 1102 are provided.
  • the image data displayed in the image area 1101 can be adjusted.
  • image data corresponding to the thumbnail 1093 is acquired by time-lapse photography, by operating the GUI component on the T (time) axis in the adjustment area 1102, image data with a different shooting time can be transferred to the image area 1101. can be displayed.
  • image data corresponding to the thumbnail 1093 is acquired in multiple channels, the brightness corresponding to each channel is adjusted by operating the GUI component of each channel in the adjustment area 1102. image data can be displayed.
  • FIG. 22 is a diagram illustrating the calendar view 1110.
  • Calendar view 1110 is displayed in a window by selecting the calendar tab shown in FIGS. 18 to 20, for example.
  • experiments are arranged on the vertical axis and dates are arranged on the horizontal axis. Further, within the experiment, areas are divided for each data set given a corresponding experiment name.
  • FIG. 22 shows an example in which a data set is generated for each combination of experiment name and equipment information.
  • the display control unit 61c displays the addition of image data to the data set in a calendar format. Thereby, in the calendar view 1110, it is possible to check at a glance the date on which image data was added to each data set.
  • a balloon 1111 containing the data set name may be displayed. In this example, nine data sets are displayed.
  • FIG. 23 is a diagram illustrating a search window 1120 that is displayed when narrowing down images.
  • FIG. 20 shows an example in which all image data (thumbnails) in a dataset are displayed in the dataset area 1095, the image data displayed in the dataset area 1095 may be narrowed down using a filter.
  • the image data can be narrowed down using metadata added to the image data. For example, it is possible to narrow down the search using tags (selection area 1121), start date (input area 1122), update date (input area 1123), and the like.
  • tags selection area 1121
  • start date input area 1122
  • update date input area 1123
  • the search window may include an area for specifying metadata specific to the measurement system.
  • 24 to 26 show areas for specifying metadata specific to the cell monitor (cell monitor 21, cell monitor 22), LSM (microscope 11), and BOX type microscope (microscope 41), respectively.
  • an area including input areas 1131 to 1137) for specifying metadata specific to the cell monitor shown in FIG. 24 may be displayed.
  • an area (including input area 1141 to input area 1151) for specifying metadata specific to LSM shown in FIG. 25 may be displayed.
  • an area including input areas 1161 to 1166) for specifying metadata specific to the BOX microscope shown in FIG. 26 may be displayed.
  • FIG. 27 is a diagram for explaining re-registration of image data.
  • FIG. 28 is an example of a flowchart of re-registration processing performed by the server.
  • FIG. 29 is a diagram showing an example of a window displayed when selecting a data set after re-registration processing.
  • FIG. 30 is a diagram illustrating a window displayed when group display information is selected.
  • the edge terminal 70 downloads the image data 5 managed by the server 60, and then processes the image data 5 to generate new image data 6.
  • An example will be explained in which the image data 6 is uploaded to the server 60.
  • the edge terminal 70 assigns a family ID and a unique ID to the new image data 6 generated by image processing, but assigns the same family ID as the image data 5 before processing, and assigns a unique ID to the new image data 6 generated by image processing. gives a newly assigned ID different from the image data 5 before processing.
  • the image data 6 uploaded to the server 60 is registered in a data set by the server 60. More specifically, as described above, in response to an upload request from the edge terminal 70 to the server 60, the control unit 61 of the server 60 classifies the image data 6 to be uploaded according to the experiment name given to the image data 6. Register to set.
  • the server 60 may execute the process shown in FIG. 28 in order to prevent the inconvenience of such related image data being registered in different data sets.
  • the control unit 61 of the server 60 first stores image data having the same family ID as the family ID of the image data 6 to be uploaded into the storage unit 62. Search from (step S31). If image data having the same family ID value is not stored in the storage unit 62 (step S32 NO), the image data 6 is registered in the data set according to the experiment name given to the image data 6 (step S34).
  • step S32 if image data having the same family ID value is stored in the storage unit 62 (step S32 YES), the control unit 61 further registers the image data determined by the experiment name given to the image data 6. It is determined whether the previous data set is a data set that includes image data having the same value of family ID discovered in step S31 (step S33).
  • step S33 YES If the data set to be registered is a data set including image data having the same family ID value (step S33 YES), the control unit 61 transfers the image data 6 to the data set according to the experiment name given to the image data 6. is registered (step S34).
  • step S33 NO If the data set to be registered is not a data set that includes image data having the same family ID value (step S33 NO), the control unit 61 does not register the image data 6 to the data set, and registers the image data 6. A registration prohibition notification indicating that the data cannot be registered in the data set is sent to the edge terminal 70 (step S35).
  • the control unit 61 controls the image data to be uploaded in response to the upload request.
  • Data is registered in a dataset that includes image data having the same family ID value, and is not registered in other datasets. Thereby, the server 60 may avoid inconveniences that may occur during re-registration.
  • the server 60 performs the process shown in FIG. 28 on the image data to be re-registered
  • the server 60 performs the process shown in FIG.
  • the processing shown in FIG. 28 may be performed on all image data.
  • the control unit 61 controls the data set A32 to be stored in the storage unit 62 in response to a request from the client device 50.
  • Display information that is, information of the data set area 1095
  • Display information that is, information of the data set area 1095
  • displays a list of one or more image data included in the data set A32 on the screen from the plurality of image data contained in the data set A32 is output to the client device 50.
  • information as shown in FIG. 29, for example, is displayed in the dataset area 1095.
  • the data set area 1095 shown in FIG. 29 is the data set area shown in FIG. Same as 1095. However, this differs from the data set area 1095 shown in FIG. 20 in that the thumbnails of the image data in the data set A32 are displayed in a grouped state based on the group ID.
  • the display information output by the control unit 61 includes group display information (group display information 1098, group display information 1099) in which one or more image data included in the data set A32 are grouped by family ID. ing. Thereby, the user can grasp a group consisting of image data before and after processing that have a common family ID.
  • one or more thumbnails of image data having the same family ID value are arranged so that they partially overlap each other. is displayed superimposed on the .
  • the group display information includes information in which thumbnails of one or more image data having the same family ID value are arranged so that at least a portion of the thumbnails overlap with each other.
  • thumbnails of one or more image data having the same family ID value are arranged in order of creation date and time based on metadata. It's okay to be hit.
  • the thumbnails may be arranged in accordance with the creation date and time of one or more pieces of image data having the same family ID value. This allows the user to intuitively understand the relationship between image data before and after processing that have a common family ID. It also becomes easier to identify the original image data.
  • the number of one or more pieces of image data having the same family ID value may be clearly indicated with characters or symbols, such as number display 1096 and number display 1097.
  • the group display information may include information indicating the number of one or more pieces of image data having the same family ID value.
  • FIG. 29 shows an example in which the thumbnails of the same group are arranged slightly shifted from each other so that the number of image data belonging to the group can be grasped.
  • the number display 1096 or number display 1097 is included, or if it is not necessary to know the number of image data before and after processing that have a common family ID, it is recognized that thumbnails of the same group overlap. It is only necessary that the number of image data can be determined from the overlap of thumbnails.
  • the user can refer to the image data in the dataset in an organized state.
  • the user since the user can recognize the image data before and after processing as one group, it becomes easier to find necessary information, and the efficiency of accessing information is greatly improved.
  • grouping the image data before and after processing it becomes possible to understand the history of the work performed by researchers and to trace the original image data. Therefore, it is also possible to ensure traceability of image data throughout the information processing system 1. Furthermore, it can be used not only to find specific image data, but also to evaluate, review, and share a series of tasks performed by researchers.
  • FIG. 30 is a diagram illustrating the selection of group display information 1098.
  • the image data included in the dataset A32 is narrowed down by the family ID corresponding to the group display information 1098, and as shown in FIG. Only thumbnails of image data having .
  • FIG. 31 is a diagram illustrating the hardware configuration of a computer 90 for realizing the above-described information processing device (for example, the server 60, the control device 12, the control device 23, the control device 42, etc.).
  • the hardware configuration shown in FIG. 31 includes, for example, a processor 91, a memory 92, a storage device 93, a reading device 94, a communication interface 96, and an input/output interface 97.
  • the processor 91, memory 92, storage device 93, reading device 94, communication interface 96, and input/output interface 97 are connected to each other via a bus 98, for example.
  • the processor 91 operates as the above-described control unit by reading and executing a program stored in the storage device 93.
  • Memory 92 is, for example, a semiconductor memory and may include a RAM area and a ROM area.
  • the storage device 93 is, for example, a hard disk, a semiconductor memory such as a flash memory, or an external storage device.
  • the reading device 94 accesses the storage medium 95 according to instructions from the processor 91, for example.
  • the storage medium 95 is realized by, for example, a semiconductor device, a medium in which information is input/output by magnetic action, a medium in which information is input/output by optical action, or the like.
  • the communication interface 96 communicates with other devices according to instructions from the processor 91, for example.
  • the input/output interface 97 is, for example, an interface between an input device and an output device. For example, a display, a keyboard, a mouse, etc. are connected to the input/output interface 97.
  • the program executed by the processor 91 is provided to the computer 90 in the following format, for example. (1) Installed in the storage device 93 in advance. (2) Provided by storage medium 95; (3) Provided by a server such as a program server.
  • the hardware configuration of the computer 90 for realizing the information processing apparatus described with reference to FIG. 31 is an example, and the embodiment is not limited to this.
  • some of the configurations described above may be deleted, or new configurations may be added.
  • part or all of the functions of the above-mentioned electric circuit can be implemented as FPGA (Field Programmable Gate Array), SoC (System-on-a-Chip), ASIC (Application Specific Integration). ed Circuit), and It may be implemented as hardware such as a PLD (Programmable Logic Device).
  • the type of the specimen container is identified using the sensor provided in the experimental equipment 80, but the type of the specimen container may also be identified based on the image data acquired by the experimental equipment 80. good. More specifically, the edge terminal 70 may identify the type of specimen container based on image data acquired by a macro optical system included in the experimental equipment 80, for example. Further, the type of specimen container may be identified based on detection data acquired by a sensor provided in the experimental equipment 80 and image data acquired by a macro optical system.
  • the experimental equipment 80 including the macro optical system and the micro optical system was illustrated, but the macro image obtained using the macro optical system and the micro image obtained using the micro optical system are The association may be based on the specified type of specimen container.
  • the edge terminal 70 (including the client device 50) outputs a request including search conditions to the server 60, and the server 60 searches for image data having metadata that matches the search conditions stored in the storage unit 62. The results may be output to the edge terminal 70.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Microscoopes, Condenser (AREA)

Abstract

La présente invention concerne un dispositif de traitement d'informations comprenant une unité de stockage et une unité de commande. L'unité de stockage stocke une pluralité d'éléments de données d'image ayant chacun une ID de famille qui n'est pas mise à jour lorsqu'une image est traitée et dont le nombre est uniquement sélectionné uniquement lorsqu'un dispositif de test acquiert une image. Conformément à une demande provenant d'un terminal ayant un dispositif d'affichage, l'unité de commande délivre, au terminal, des informations d'affichage pour afficher un ou plusieurs éléments de données d'image (1093, 1093a, 1093b, 1094, 1094a) inclus dans un ensemble de données (a32) sous la forme d'une liste sur un écran, le ou les éléments de données d'image provenant de la pluralité d'éléments de données d'image. Les informations d'affichage comprennent des informations d'affichage de groupe (1098, 1099) qui regroupe, par ID de famille, un ou plusieurs éléments de données d'image inclus dans l'ensemble de données (A32).
PCT/JP2023/032334 2022-09-05 2023-09-05 Dispositif de traitement d'informations, système de traitement d'informations, procédé de traitement d'informations, et programme Ceased WO2024053633A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2022140606 2022-09-05
JP2022-140606 2022-09-05

Publications (1)

Publication Number Publication Date
WO2024053633A1 true WO2024053633A1 (fr) 2024-03-14

Family

ID=90191238

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2023/032334 Ceased WO2024053633A1 (fr) 2022-09-05 2023-09-05 Dispositif de traitement d'informations, système de traitement d'informations, procédé de traitement d'informations, et programme

Country Status (1)

Country Link
WO (1) WO2024053633A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013251714A (ja) * 2012-05-31 2013-12-12 Murata Mach Ltd 画像データ処理装置、画像データ処理方法、画像データ処理プログラム、それを格納した記録媒体、および画像データ処理システム
JP2014006321A (ja) * 2012-06-22 2014-01-16 Sony Corp 情報処理装置、情報処理システム及び情報処理方法
JP2022051343A (ja) * 2020-09-18 2022-03-31 株式会社東芝 画像処理装置、及び画像処理システム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013251714A (ja) * 2012-05-31 2013-12-12 Murata Mach Ltd 画像データ処理装置、画像データ処理方法、画像データ処理プログラム、それを格納した記録媒体、および画像データ処理システム
JP2014006321A (ja) * 2012-06-22 2014-01-16 Sony Corp 情報処理装置、情報処理システム及び情報処理方法
JP2022051343A (ja) * 2020-09-18 2022-03-31 株式会社東芝 画像処理装置、及び画像処理システム

Similar Documents

Publication Publication Date Title
Higgins Applications and challenges of digital pathology and whole slide imaging
US20140049634A1 (en) System and method for remote control of a microscope
US11847751B2 (en) Method and system for implementing augmented reality (AR)-based assistance within work environment
JP6437947B2 (ja) 全自動迅速顕微鏡用スライドスキャナ
Heddleston et al. A guide to accurate reporting in digital image acquisition–can anyone replicate your microscopy data?
US11416997B2 (en) Systems, methods, and apparatuses for image capture and display
US20160139387A1 (en) Preview station and method for taking preview images of microscope slides
JP2016517515A (ja) 細胞診標本を観察および解析するためのシステムおよび方法
CN114503066A (zh) 用于载玻片扫描仪控制的图形用户界面
EP2278378B1 (fr) Appareil microscope comperenant dispositif de mesure de temps et plusieurs dispositifs d'acquisition d'images
US12086104B2 (en) Data management system, data management method, and computer-readable medium
US11138369B2 (en) Experiment information management system, experiment note system, and experiment information management method
WO2024053633A1 (fr) Dispositif de traitement d'informations, système de traitement d'informations, procédé de traitement d'informations, et programme
JP6246551B2 (ja) 制御装置、顕微鏡システム、制御方法およびプログラム
JP2010151523A (ja) 粒子画像解析方法および装置
Abtahi et al. A Simple Method for Creating a High‐Content Microscope for Imaging Multiplexed Tissue Microarrays
EP3748413A1 (fr) Unité de commande pour microscope, système de microscope comprenant une telle unité de commande et procédé d'examen d'un échantillon
US11675490B2 (en) Management system, management method, and computer-readable medium
JP2024018082A (ja) 画像解析装置、画像解析システム、画像解析方法、及び、プログラム
JP6637345B2 (ja) 顕微鏡システム
Chapman Seeing is believing
Dale Life through a lens: Matthew Dale discovers embedded processing and new CMOS technology are bringing advances to medical and life science imaging
JP2019017318A (ja) 画像表示装置、プログラム及び制御方法
Gokhale Extracting information from imaging cytometry: a review
WO2021060358A1 (fr) Dispositif et programme d'analyse

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: 23863171

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 23863171

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: JP