Abstract: A cell analyzing device includes a control circuit. The control circuit acquires data of an observation image. The control circuit specifies a colony of a cultured cell in the observation image. The control circuit calculates a ratio at which the cultured cell occupies a predetermined range included in the observation image as an occupancy rate. The control circuit calculates a size of the colony. The control circuit determines a state of the cultured cell based on the occupancy rate and the size of the colony.

Abstract: An observation system includes a processor. The processor manages a plurality of images acquired in time series with respect to a biological sample which is being cultured, records a first comment and a first region of interest (RoI) in a storage device in association with the images based on user's instructions, and records a second comment and a second ROI in the storage device in association with the first comment based on user's instructions.

Abstract: A method for assisting in cell isolation from a biological tissue section includes: obtaining cell images that are each an image of cells isolated from the biological tissue section, the biological tissue section being soaked in a solution containing an enzyme; calculating, from the cell images, a number of the cells isolated from the biological tissue section as an indicator of the cell isolation from the biological tissue section; and visualizing a temporal change in the indicator on the basis of a history of the indicator.

Abstract: A method for displaying cell count information includes steps for: obtaining a cell image; obtaining a first cell count output by applying the cell image to a first counting model; obtaining a second cell count output by applying the cell image to a second counting model; and displaying, on the basis of the first and second cell counts, a screen on which at least either of the first and second cell counts and a correlation between the first and second cell counts are visualized. The first counting model is different from the second counting model.

Abstract: A culture information processing device includes: a feature value computing unit that computes growth feature values indicating features of growth characteristics of cells from data acquired in a particular first subculturing process selected from among a plurality of subculturing processes included in a culture period of the cells; a condition setting unit that sets culturing conditions of a second subculturing process one process after the first subculturing process; and an information computing unit that computes, on the basis of the growth feature values computed by the feature value computing unit and the culturing conditions set by the condition setting unit, characteristics-related information related to growth characteristics in the second subculturing process.

Abstract: An image reproducing device includes one or more processors. The processor acquires image group data including a plurality of images and tag information on at least one tag. The images relate to a biological sample along time series. The tag information relates to an operation on the biological sample and is associated with at least part of the images. The processor selects from the plurality of images using the tag information, images to be reproduced along the time series as reproduction selected images. The processor outputs to a display, data relating to the images for the reproduction selected images to be reproduced along time series.

Abstract: Provided is a data-creation assistance apparatus which is an apparatus that assists data creation work in which an annotation is added to each cell in an image containing cells, the data-creation assistance apparatus including: a processor including hardware, the processor being configured to: acquire image data including the image; extract information related to the cells from the acquired image data; set a size of divided regions on the basis of the extracted information related to the cells; and divide the image into the divided regions; and a display that displays each of the divided regions which have been divided.

Abstract: A cell analyzing device includes a control circuit. The control circuit acquires data of an observation image. The control circuit specifies a colony of a cultured cell in the observation image. The control circuit calculates a ratio at which the cultured cell occupies a predetermined range included in the observation image as an occupancy rate. The control circuit calculates a size of the colony. The control circuit determines a state of the cultured cell based on the occupancy rate and the size of the colony.

Abstract: A culture information processing device includes: a feature value computing unit that computes growth feature values indicating features of growth characteristics of cells from data acquired in a particular first subculturing process selected from among a plurality of subculturing processes included in a culture period of the cells; a condition setting unit that sets culturing conditions of a second subculturing process one process after the first subculturing process; and an information computing unit that computes, on the basis of the growth feature values computed by the feature value computing unit and the culturing conditions set by the condition setting unit, characteristics-related information related to growth characteristics in the second subculturing process.

Abstract: An observation system includes a processor. The processor manages a plurality of images acquired in time series with respect to a biological sample which is being cultured, records a first comment and a first region of interest (RoI) in a storage device in association with the images based on user's instructions, and records a second comment and a second ROI in the storage device in association with the first comment based on user's instructions.

Abstract: The number of cells existing and the positions thereof in a container that contains the cells can be grasped at a glance. Provided is an analysis-result browsing device that includes: a camera that captures cells at set capturing positions; a processing unit that detects and analyzes the cells captured by the camera, for the respective capturing positions; a display unit that displays analysis results of the cells analyzed by the processing unit, together with a container map that shows a container and the plurality of capturing positions in the container; and a control unit that sets the capturing positions in the container, which contains the cells, and simultaneously displays the analysis results of the cells at at least two of the capturing positions on the container map, which is displayed on the display unit.

Abstract: An image reproducing device includes one or more processors. The processor acquires image group data including a plurality of images and tag information on at least one tag. The images relate to a biological sample along time series. The tag information relates to an operation on the biological sample and is associated with at least part of the images. The processor selects from the plurality of images using the tag information, images to be reproduced along the time series as reproduction selected images. The processor outputs to a display, data relating to the images for the reproduction selected images to be reproduced along time series.

Abstract: A culture observation system including: an observation device disposed in an incubator; a station server disposed outside the incubator and that transmitting and receiving information to and from the observation device; and a terminal for transmitting and receiving information to and from the station server. The observation device includes: a light source emitting illumination light from below a sample to thereabove, said sample being accommodated in a container formed of an optically transparent material; and an image acquisition unit for acquiring, below the sample, an image of transmitted light that has passed through the sample as a result of the illumination light emitted from the light source unit being reflected above the sample. The image acquisition unit includes an objective lens for collecting transmitted light that has passed through the sample, and the light source unit emits illumination light from radially outward of the objective lens to above the sample.

Abstract: The number of cells existing and the positions thereof in a container that contains the cells can be grasped at a glance. Provided is an analysis-result browsing device that includes: a camera that captures cells at set capturing positions; a processing unit that detects and analyzes the cells captured by the camera, for the respective capturing positions; a display unit that displays analysis results of the cells analyzed by the processing unit, together with a container map that shows a container and the plurality of capturing positions in the container; and a control unit that sets the capturing positions in the container, which contains the cells, and simultaneously displays the analysis results of the cells at at least two of the capturing positions on the container map, which is displayed on the display unit.

Abstract: A method of compiling an image database for a three-dimensional object recognition including the steps of: when a plurality of images each showing an object from different viewpoint are inputted, extracting local features from each of the images, and expressing the local features using feature vectors; forming sets of the feature vectors, each set representing a same part of the object from a series of the viewpoints, and generating subspaces, each subspace representing a characteristic of each set; and storing each subspace to the image database with an identifier of the object to perform a recognition process that is realized by the steps of: when at least one image of an object is given as a query, extracting query feature vectors; determining the subspace most similar to each query feature vector; and executing a counting process to the identifiers to retrieve an object most similar to the query.

Abstract: An image retrieval method comprising: a step of extracting at least one query feature vector from a query image on which a subject of the image retrieval is captured, the query feature vector representing a local feature of the query image; a step of accessing an image data base in which a plurality of reference images are stored previously, each reference image being stored in conjunction with learning images generated therefrom and reference feature vectors representing local features of the reference image and the learning images; a comparing step of comparing the query feature vector with the reference feature vectors stored in conjunction with each reference image using an approximate nearest neighbor search to find a reference feature vector approximately nearest to the query feature vector; and a selecting step of selecting a reference image with which the found reference feature vector is stored in conjunction from the reference images as a retrieval result wherein: the learning image is generated by

Abstract: A method for creating an image database comprising an extraction step of extracting reference feature vectors from a reference image which should be compared with a retrieval query image for object recognition, the reference feature vectors corresponding to local features at different positions of the reference image and representing the position and characteristics of each of the local features as a vector position, vector length, and a vector direction, a clustering step of creating a plurality of clusters consisting of different reference feature vectors in such a manner that each reference vector belongs to any of the plurality of clusters, a selection step of selecting the representative vector of the clusters from among the reference feature vectors of each of the clusters, and a step of associating the representative vector with the reference image and registering the representative vector associated therewith in the image database for the object recognition, wherein, in the clustering step, each of th

Abstract: A method of compiling an image database for a three-dimensional object recognition including the steps of: when a plurality of images each showing an object from different viewpoint are inputted, extracting local features from each of the images, and expressing the local features using feature vectors; forming sets of the feature vectors, each set representing a same part of the object from a series of the viewpoints, and generating subspaces, each subspace representing a characteristic of each set; and storing each subspace to the image database with an identifier of the object to perform a recognition process that is realized by the steps of: when at least one image of an object is given as a query, extracting query feature vectors; determining the subspace most similar to each query feature vector; and executing a counting process to the identifiers to retrieve an object most similar to the query.

Abstract: An image retrieval method comprising: a step of extracting at least one query feature vector from a query image on which a subject of the image retrieval is captured, the query feature vector representing a local feature of the query image; a step of accessing an image data base in which a plurality of reference images are stored previously, each reference image being stored in conjunction with learning images generated therefrom and reference feature vectors representing local features of the reference image and the learning images; a comparing step of comparing the query feature vector with the reference feature vectors stored in conjunction with each reference image using an approximate nearest neighbor search to find a reference feature vector approximately nearest to the query feature vector; and a selecting step of selecting a reference image with which the found reference feature vector is stored in conjunction from the reference images as a retrieval result wherein: the learning image is generated by

Abstract: A method for creating an image database comprising an extraction step of extracting reference feature vectors from a reference image which should be compared with a retrieval query image for object recognition, the reference feature vectors corresponding to local features at different positions of the reference image and representing the position and characteristics of each of the local features as a vector position, vector length, and a vector direction, a clustering step of creating a plurality of clusters consisting of different reference feature vectors in such a manner that each reference vector belongs to any of the plurality of clusters, a selection step of selecting the representative vector of the clusters from among the reference feature vectors of each of the clusters, and a step of associating the representative vector with the reference image and registering the representative vector associated therewith in the image database for the object recognition, wherein, in the clustering step, each of th