Abstract: A data processing system includes an information processing device (2) and an information display device (4). The information processing device (2) includes a registration data holder (10) that holds image data registered in the data processing system (1), a field display part (12) configured to display, on the information display device, a display field including a plurality of image display areas, having the same size with each other, for displaying the image data, and an image display part (14) configured to display, in the image display area of the display field, a plurality of pieces of image data optionally selected from the image data held in the registration data holder (10), and the image display part (14) is configured to change an enlargement or reduction ratio of a plurality of pieces of the image data displayed in the image display area of the display field in conjunction with each other based on operation by the user.

Abstract: A cell image analysis method according to this invention includes a step of acquiring a cell image (10) including a cell (90); a step of generating a background component image (14) that extracts a distribution of a brightness component of a background (91) by filtering the cell image; a step of generating a corrected cell image (11) that is corrected based on the cell image and the background component image to reduce unevenness of brightness; and a first estimation step of estimating whether the cell in the image is a normal cell or an abnormal cell by using the corrected cell image and a learned model (6) that has learned to analyze the cell.

Abstract: A memory capacity determination system (200) in learning of cell images (80) includes a learning processor (10) including a first processor (10a) configured to execute processes of training a learning model (21), and a memory (10b); a selector (45) configured to select between a training mode of training the learning model, and a validation mode of validating whether a capacity of the memory becomes insufficient; and a determiner (12d) configured to determine whether the capacity of the memory becomes insufficient in the verification mode; and a display (121) configured to give a notice based on a first determination result (32).

Abstract: A trained model creation method includes creating a trained model (50) based on training data (86) including first teacher image data (86b), determining whether or not an estimated region is erroneously estimated in inference result data (84), determining a noise region (60) included in the first teacher image data (86b), updating the first teacher image data (86b), and re-creating trained model (55).

Abstract: A data analysis apparatus (100) according to this invention includes a controller (10) configured to accept an operation of selection of an analysis data item(s) (500, 510, 520, 530), to accept an operation of selection of a script(s) to be used to analyze data based on the analysis data item(s) (500, 510, 520, 530), to accept an operation of adjustment of a parameter(s) to be used to execute the script(s), and to analyze the data by executing the script(s) based on the adjusted parameter(s).

Abstract: An image processing method according to this invention includes a step of converting pixel values of pixels in a cell image (31) into relative values; a step of acquiring a frequency-component extraction image (50) that extracts a predetermined frequency component from the converted cell image (40); a step to acquiring a first image (61a) by binarizing the converted cell image (40), and a second image (62) by binarizing the frequency-component extraction image (50); and a step of generating a binary image (70) of the cell image (31) by combining the first image (61) and the second image (62).

Abstract: A data analysis system according to this invention includes a data acquirer, a storage configured to store to-be-analyzed data items and analysis modules linked with top hierarchical data items, an analyzer, a display, and a controller configured to direct the display to display the to-be-analyzed data items and/or the analysis modules that are linked with the top hierarchical data item(s) whose access right (s) is/are provided to a user in the hierarchical structure, and to exclude the to-be-analyzed data items and the analysis modules that are linked with the top hierarchical data item(s) whose access right (s) is/are not provided to the user from items to be displayed on the display.

Abstract: An X-ray imaging system is configured to acquire first and second images from a teacher X-ray image including an inspection target. Discrimination information to discriminate at least one of an area of the inspection target in the first and second images, and an area of a defect part is acquired. Machine learning for producing a learned model is performed by using input teacher data sets based on the first and second images, and output teacher data sets based on the discrimination information.

Abstract: In an X-ray imaging, first and second images of X-ray images corresponding to different emission angles are generated. In the X-ray imaging system, based on positions of a target part included in an inspection target in the first and second images, and an angle difference between the emission angles of X-rays that are emitted to generate the first and second images, a three-dimensional position of the target part is calculated by using triangulation.

Abstract: A data analysis method includes a storage step of storing a plurality of learning algorithm groups each including a type of measurement data, a type of analysis of the measurement data, and a learning algorithm associated with each other, a learning algorithm selection step of selecting the learning algorithm based on input information, and a trained model generation step of generating a trained model based on training data and the learning algorithm.

Abstract: A data processing system (1) including an information processing device (2) and an information display device (4), in which the information processing device (2) includes a data registration part (8) configured to register a plurality of pieces of data acquired by a predetermined data acquisition device (6) as data handled by the data processing system (1) in a state where each piece of the data and at least one type of accompanying information of each piece of the data are associated with each other, a registration data holder (10) that holds data registered by the data registration part (8), a data tree creator (12) configured to group the plurality of pieces of data held in the registration data holder (10) by using the accompanying information of an optionally selected type so that pieces of the data having a common piece of the accompanying information belong to a same group, and to create a data tree virtually indicating a state in which a plurality of pieces of the data are distributed into groups, and

Abstract: An image analyzing device (1) includes an image holder (8) that holds an image, a trained model registration part (10) configured to register trained models created by machine learning, a trained model holder (12) that holds the trained models registered by the trained model registration part (10), an algorithm holder (14) that holds a plurality of analysis algorithms for executing analysis processing of an image, a recipe creation part (18) configured, for an image to be analyzed optionally selected from among images held in the image holder (8), to create an analysis recipe for analyzing the image to be analyzed by combining a trained model selected from the trained models held in the trained model holder (10) and an analysis algorithm optionally selected from the plurality of analysis algorithms held in the algorithm holder (14), and an analysis execution part (20) configured to execute analysis of the image to be analyzed based on the analysis recipe created by the recipe creation part (18).

Abstract: A data processing system includes an information processing device (2) and an information display device (4). The information processing device (2) includes a registration data holder (10) that holds image data registered in the data processing system (1), a field display part (12) configured to display, on the information display device, a display field including a plurality of image display areas, having the same size with each other, for displaying the image data, and an image display part (14) configured to display, in the image display area of the display field, a plurality of pieces of image data optionally selected from the image data held in the registration data holder (10), and the image display part (14) is configured to change an enlargement or reduction ratio of a plurality of pieces of the image data displayed in the image display area of the display field in conjunction with each other based on operation by the user.

Abstract: Disclosed is a cell image analysis device 2 including: a display unit 52; a storage unit 31 which stores learning data which is a set of data of a cell image and data of an analyzed image in which a region of interest included in the cell image is specified, and a discriminator which is created using a learning model constructed by machine learning using the learning data; a test data input receiver 36 configured to receive an input of test data; a discriminator evaluation unit 37 configured to evaluate the discriminator using the test data; an evaluation result storing unit 38 configured to store evaluation data including an evaluation result of the discriminator and the test data used for the evaluation in association with the discriminator; and a display processor 39 configured to display the test data and/or the evaluation result associated with the discriminator on a screen of the display unit in response to an input for selecting the discriminator.

Abstract: A data analysis apparatus includes a control unit that performs control of receiving an operation to select analysis data, control of receiving an operation to select a plurality of scripts that execute analysis on the selected analysis data, and control of executing analysis on the selected analysis data by the plurality of selected scripts in parallel. The data analysis apparatus also includes a display unit configured to display analysis results of the analysis data by the control unit on the same screen.

Abstract: A data processing system includes a cell image processing device including an image analysis unit that analyzes the acquired cell image, a storage unit that stores relative data in which the cell image, an analysis result of the cell image, and at least one or more pieces of group division information used to perform group division on the cell image are associated with each other, and a data tree creating unit that creates a virtual data tree including result information based on the analysis result to be displayed in any hierarchy of the data tree on which group division is performed so that a plurality of the relative data belong to the same group, and an information display device including a display unit configured to display the data tree.

Abstract: Provided is a cell analysis device including: a display unit; a storage unit; an analysis result input receiving unit to receive inputs of culture conditions and measured values of items obtained by analyzing a cell cultured under each condition, and store them in the storage unit associating the measured values with a corresponding one culture condition; a culture condition designation input receiving unit to receive input of designation of the culture condition; a correlation evaluation unit to read out measured values of items on the cell cultured under the designated culture condition from the storage unit, and evaluate a magnitude of correlation between the measured values of two items for all combinations of two of the items; and a correlation item presentation unit to display, on the display unit, a predetermined number of combinations extracted from among all the combinations based on an evaluation result by the correlation evaluation unit.

Abstract: A cell image processing system includes a cell image processing device, a display terminal, and an input unit. The cell image processing device includes an acquisition unit that acquires cell image related data, a storage unit, a data tree creating unit that creates a data tree, and a control unit that performs control to popup display the cell image related data selected by first selection by the input unit in the data tree.

Abstract: A migration system of a learning model for cell image analysis is a system that migrates a learning model from a first learning device to a second learning device, in which the second learning device includes an algorithm consistency determination unit that determines, based on second algorithm specification information and first algorithm specification information, whether or not consistency is established between a first algorithm and a second algorithm, and a learning model parameter setting unit that sets a first parameter to be used together with the second algorithm.