An image processing device includes: a processor; and a memory encoded with instructions executed by the processor, including: imaging pluripotent stem cells with time in a culture process and acquiring a plurality of images, extracting a colony region of the cells from the image, extracting a high luminance region on the basis of a group of pixels with larger luminance values than a standard value from among pixels constituting the image, extracting an extraction target region with relatively high contrast in the colony region on the basis of the colony and high luminance regions, and outputting the extraction target region as an extraction result, wherein as a relationship among the colony, high luminance, and extraction target regions, the colony region is formed, the high luminance region is then formed therein, and the extraction target region is then formed in the high luminance region in the culture process of the cells.

A computer-implemented method is for evaluating a condition of a person. The method includes determining at least one characteristic of a first facial expression of at least a mouth of the person, at a first time, based at least on a first image previously captured; determining at least one characteristic of a second facial expression of at least a mouth of a person, at a second time, based at least on a second image previously captured, the first facial expression and the second facial expression being of a same first type of facial expression; determining at least one difference between the at least one characteristic of the first facial expression determined and the at least one characteristic of the second facial expression determined; and generating an output signal indicating the condition of the person based at least on the at least one difference determined.

It is possible to deal with cells having ability to divide more appropriately while further reducing cost required for analyzing captured images of the cells having ability to divide.

Provided is an information processing apparatus including an analyzing unit configured to analyze a plurality of images obtained by capturing images of an observation target including a cell having ability to divide in chronological order, to calculate a feature amount representing a state of the cell, and a control unit configured to dynamically control an implementation condition of the analysis on a basis of the calculated feature amount.

The present disclosure describes a method of quantifying analyte levels using gold nanoparticles. The present disclosure also describes a device to quantify analyte levels using gold nanoparticles and image processing of pixels isolated from a single vector. The methods, devices, and systems of the disclosure can be used to quantify analytes such as luteinizing hormone, progesterone, estradiol, or testosterone.

An eye movement measurement device includes an acquisition unit configured to acquire an eye image in which an image of an eye of a subject is captured, a feature point extraction unit configured to extract feature points in a white region of the eye included in the eye image acquired by the acquisition unit, a candidate region generation unit configured to generate, for each of the feature points extracted by the feature point extraction unit, a template candidate region, the template candidate region being a region including a pixel of each of the feature points, in the eye image, a selection unit configured to select, as a template region, the template candidate region including more of the feature points among a plurality of the template candidate regions generated by the candidate region generation unit, and a measurement unit configured to measure a three-dimensional eye movement including at least a rotation angle of the eye of the subject by tracking movement in the eye image acquired by the acquisition unit by using the template region selected by the selection unit.

An image processing apparatus according to the present invention calculates, even in a case where a region of a part as an observation target included in an image capturing range is different between a plurality of medical images in different time phases, a degree of slippage of the region of the part as the observation target with high accuracy.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

The present disclosure relates to an optical coherence tomography (OCT) including: an OCT device, an OCT calculation method, and an OCT calculation program, enabling correlation between images to be easily performed; more specifically it relates to a case where a functional OCT image such as a motion contrast is acquired by using the OCT; acquiring the functional OCT image through a calculation process of an OCT signal is a time-consuming process, for this reason, a long time elapses until the point that a functional OCT image can be observed after OCT imaging is completed, and thus this causes stress to a subject and an examiner; the present disclosure provides an OCT device, an OCT calculation method, and an OCT calculation program, enabling a functional OCT image to be rapidly acquired and enables an examiner to easily perform diagnosis.

[Object] To evaluate the function related to absorption or release of a biological sample in more detail. [Solution] According to the present technology, an information processing device includes: a detection unit configured to detect at least one region of interest in at least one captured image among a plurality of captured images of a biological sample having different imaging times; a feature amount calculation unit configured to calculate a feature amount related to a change in the at least one region of interest in the plurality of captured images; and an evaluation value calculation unit configured to calculate an evaluation value for a function related to absorption or release of the biological sample on a basis of the feature amount.

A method includes obtaining image data, selecting image datasets from the image data, creating three-dimensional (3D) matrices based on the selected image dataset, refining the 3D matrices, applying one or more matrix operations to the refined 3D matrices, selecting corresponding matrix columns from the 3D matrices, applying big data convolution algorithm to the selected corresponding matrix columns to create a two-dimensional (2D) matrix, and applying a reconstruction algorithm to create a super-resolution biomarker map image.