International Business Machines Corporation

Nikon Corporation

The University of Tokyo

Sony Corporation

Tokyo Institute of Technology

Masayuki Murata

Fumi Kano

Yoshiyuki Noguchi

Ching-Yung Lin

Shuichi Shimizu

Masafumi Yamashita

Shoko Yamasaki

Takuro Saigo

Daisuke Sato

Mamiko Masutani

Motoyuki Ohtake

Yoshito Iwasawa

Nobuyuki Adachi

Tatsuya Ishihara

Nobuhiko Maiya

Chisako Iwamoto

Kenta Imai

Shinichi Furuta

Hiroaki Nakamura

Hiroki Hagiwara

Junya Shimizu

Daisuke Kuroda

Atsushi Ohata

Hirotada Watanabe

Hiroshi Omichi

Atsuo Kikuchi

Wataru Tomosugi

Shunsuke Takei

Kenichi Ohba

Yuki Sonoda

An image processing device includes a determination unit configured to determine a type of autophagy induced in a cell, based on information indicative of autophagic activity in the cell present in a cell image in which the cell is image captured and based on information indicative of congestion of molecules in the cell present in the cell image.

Image processing device, analysis device, image processing method, image processing program, and display device

Provided is a computer-implemented method including acquiring a first pieces of observation data that include a position of a mobile object and a received signal strength of a wireless signal observed by the mobile object; and correcting each position of the mobile object included in each piece of observation data of the first pieces of observation data using one position of the mobile object at a time before the received signal strength included in the piece of observation data is observed.

Fingerprint data pre-process method for improving localization model

A placement of a set of devices in an environment is evaluated. At least a plurality of neighboring locations is selected for a target location in the environment. A probability of an estimated location conditioned on the target location is calculated for each of at least the plurality of neighboring locations as the estimated location by using an observation model for obtaining a set of observation values given a location under the placement. An evaluation metric is computed by using the probability calculated for each of at least the plurality of neighboring locations.

Evaluation of device placement

The object of the present invention is to provide a method for incorporating an arbitrary protein, lipid, carbohydrate, or nucleic acid into an exosome. The object can be solved by a method for preparing an exosome, comprising the steps of: (a) adding a biological toxin having a perforating activity to a medium containing cells and incubating the mixture, (b) adding ATP and incubating the mixture, and (c) adding a medium containing calcium ion and incubating the mixture.

Method for producing exosomes and exosomes obtained thereby

An analysis device configured to analyze a correlation between feature values in a cell in response to a stimulus includes: a cell-image acquiring unit configured to acquire a plurality of cell images in which the cell that is stimulated is captured; a feature value calculating unit configured to calculate a feature value for constituent elements that form the cell, based on the plurality of cell images acquired by the cell-image acquiring unit; a correlation calculating unit configured to use the feature value calculated by the feature value calculating unit and to calculate correlations between the constituent elements; a correlation selecting unit configured to select a first correlation from the correlations calculated by the correlation calculating unit; and an image selecting unit configured to select a first cell image from the plurality of cell images that are captured, based on the first correlation that is selected.

Analysis device, analysis method, analysis program and display device

An analysis device configured to analyze an attribute of a correlation between responses with respect to a stimulus to a first subcellular component that is a subcellular component of a cell and a second subcellular component different from the first subcellular component, the analysis device including an attribute analysis unit that analyzes the attribute of the correlation between the first subcellular component and the second subcellular component based on a first change in a feature value of the second subcellular component with respect to the stimulus in a state a function of the first subcellular component is suppressed and a second change in a feature value of the second subcellular component with respect to the stimulus in a state the function of the first subcellular component is not suppressed.

Analysis device, analysis program, and analysis method

An image-processing device including: a determination unit that determines a captured image on the basis of a ratio of cells and a distribution of the cells in the captured image acquired by imaging a sample including cells; and an area setting unit that sets an area used for analyzing the cells of the sample on the basis of a result of the determination acquired by the determination unit.

Image-processing device, image-processing method, and image-processing program for setting cell analysis area based on captured image

An analysis device includes: a cell image acquisition unit that acquires a plurality of cell images in which a stimulated cell has been captured; a feature value calculation unit that calculates a feature value for each of first and second constituent elements constituting the cell, from the cell images acquired by the cell image acquisition unit; a correlation calculation unit that calculates correlations between first feature values and between second feature values in the first and second constituent elements calculated by the feature value calculation unit; a correlation extraction unit that extracts the correlation between the first feature values by selecting the first feature values with respect to the correlations between the feature values in the first and second constituent elements calculated by the correlation calculation unit; and a display unit that displays the correlation between the first feature values extracted by the correlation extraction unit.

Analysis device, analysis method, and program

A method for generating route network data for movement includes calculating a movable area in a place for a target type of movement using a space model of the place and an object model for the target type. The method also includes building network structure for route network data of the place using the movable area for the target type, in which the network structure includes a plurality of nodes and a plurality of links representing routes within the place. The method further includes updating the network structure by shifting a node to orient a link connected to the node toward any one of predetermined directions under a condition relating to an initial position of the node.

Generation of route network data for movement

A computer-implemented method includes acquiring a plurality of received signal strength indicators obtained by a target wireless terminal which observes a plurality of wireless signals transmitted from a plurality of transmitters, selecting a set of received signal strength indicators which is a portion of the plurality of received signal strength indicators, acquiring a set of reference received signal strength indicators corresponding to the set of received signal strength indicators, from a database of a plurality of reference received signal strength indicators that serve as a reference for the plurality of received signal strength indicators, and estimating a received signal strength indicator offset of the target wireless terminal, based on the set of received signal strength indicators and the set of reference received signal strength indicators.

Device diversity correction method for RSS-based precise location tracking

An analysis device includes an acquisition unit configured to acquire an image of a cell and an identification unit configured to identify elements that are identifiable on the basis of the image of cell acquired by the acquisition unit. Characteristic quantities of the elements identified by the identification unit are calculated, a correlation between the characteristic quantities is calculated on the basis of the calculated characteristic quantities of the elements, and a correlation between the elements is calculated on the basis of the calculated correlation between the characteristic quantities.

Analysis device, analysis method, analysis program, cell manufacturing method and cells

A method for interactive test-schedule adjustment is provided. The steps include: displaying a table including the importance and period of each test item; displaying a first optimum schedule obtained from an optimal solution based on values entered by a user into the table, the schedule including a use schedule of each test facilities used for each of the multiple test items; displaying a second optimum schedule obtained from an optimal solution recalculated by mathematical programming after a use schedule of a test item the importance of which is changed on the first optimum schedule is changed; and displaying a third optimum schedule based on neighborhood solutions obtained by a search method using a history of optimal solutions if no agreement between the users is obtained on the second schedule.

Interactive test-schedule adjustment method

To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Growing community of inventors

Tokyo, Japan

Masayuki Murata