Abstract:
A data processing apparatus according to one aspect is provided with an inference unit configured to predict at least one objective variable from a plurality of explanatory variables by using a trained model, and a display data generation unit configured to generate data for displaying an inference result by the inference unit. The inference unit is configured to set a first explanatory variable selected from the plurality of explanatory variables as a variation value and set second explanatory variables other than the first explanatory variable as fixed values. The inference unit predicts, by using the trained model, the at least one objective variable when the first explanatory variable is continuously varied within a predetermined variation range. The display data generation unit generates data indicating a variation of the at least one objective variable with respect to a variation of the first explanatory variable.
Abstract:
Provided are a general macro processing function that can be used for a plurality of different analyzer controlling apparatuses and an analyzer controlling apparatus provided with such a function. A processing instruction concerning an analyzer and/or an analyzer controlling apparatus is held in a processing instruction holding unit, and visual information of a command item which visually represents the processing instruction is held in an item holding unit. Moreover, a relation between the command item and the processing instruction is held in a command associating unit. An edit screen displaying unit displays an edit screen on a display apparatus 14, the edit screen including an item presentation region for displaying the command item held in the item holding unit and an edit region for placing the command item. In response to an operation by a user through an input unit 16, an edit supporting unit moves and arranges the command item in the item presentation region to the edit region. Upon reception of a macro execution instruction, a macro executing unit refers to the processing instruction holding unit based on information of the command associating unit with regard to the command item arranged in the edit region, and transmits the instruction to the analyzer and/or the analyzer controlling apparatus.
Abstract:
Measuring light emitted from a laser light source and split into four light rays through optical fibers is emitted into a space from emission units, and bent upward at a mirror. The measuring light passes through a window in the center of the sample stage and strikes a lower surface of the biological sample placed on the sample stage. A portion of fluorescence emitted through excitation by the measuring light passes through the window, is bent in an opposite direction from the measuring light by the mirror, and guided to a fluorescence camera. An objective lens, and a spectroscopic unit for separating visible wavelength components are horizontally arranged between the camera and the mirror. Although the projection of the measuring light and the detection of the fluorescence are performed perpendicularly to the biological sample, the optical components and elements are horizontally arranged.
Abstract:
An integrated viewer for multiple measurements according to a first aspect includes: a storage unit that stores, for each of a plurality of types of analyzers, a type of a feature amount obtained from a measurement result of the analyzer; a display control unit that displays types of feature amounts stored in the storage unit on a display screen in a selectable manner; and a registration unit that names and registers a set of types of feature amounts selected by an operator among the types of the feature amounts. The display control unit displays, side by side on the display screen, a first display region in which the type of the feature amount is displayed in a tab for each type of the analyzers and a second display region in which the set of types of the feature amounts selected by the operator is displayed.
Abstract:
A viewer for analysis includes: a communication unit for receiving analysis results for each of a plurality of samples, the analysis results being different in type from each other and outputted from a plurality of types of analyzers; a display unit for displaying the analysis results received by the communication unit; a control unit for controlling the display unit; and a first selection means for selecting at least two or more display target samples from the plurality of samples. The display unit includes a display area for displaying the analysis results by the plurality of types of analyzers for each of the at least two or more display target samples; and a list display area for displaying at least two or more display areas in a list, the at least two or more display areas corresponding to the at least two or more display target samples.
Abstract:
For each of one or a plurality of types of samples, a database is constructed in which a sample identification tag and data belonging to at least two types of categories out of Categories (1), (2), and (3) are stored in association with each other. Data to be used as training data in supervised learning is selected from the database. At this time, one or a plurality of types of data is selected as an explanatory variable from one of the categories. Further, one or a plurality of types of data is selected as an objective variable from the other category. Then, training data is generated in which data corresponding to the selected explanatory variable is served as input and data corresponding to the selected objective variable is served as ground truth output. Category (1) is a plurality of types of samples relating to a production method of the sample, Category (2) is a plurality of types of samples acquired by analyzing a sample by one or a plurality of types of analyzers, and Category (3) is a plurality of types of physical property data that are information representing sample characteristics.