Nikon Corporation

Osaka University

Masafumi Mimura

Kei Ito

Hisashi Okugawa

Yutaka Sasaki

Hideki Sasaki

Takayuki Uozumi

Ichiro Sase

Takaaki Okamoto

Yuki Terui

Miroslav Svoboda

Kohki Konishi

Akio Iwasa

Masaru Ishii

Takahiro Matsui

Ryo Tamoto

Kei Nakagawa

Martin Berger

Kazuhiro Yano

Petr Gazak

An image acquire device comprising: an irradiator configured to irradiate an undyed tissue with excitation light; an image sensor configured to acquire a third harmonic image of the undyed tissue based on light generated in third harmonic generation caused by interaction between the undyed tissue and the excitation light.

Image acquiring device, cancer determination device, cancer determination method, and computer-readable medium

An image processor includes an image generator configured to generate corresponding image data corresponding to first microscopic image data obtained under a first observation condition, based on second microscopic image data and third microscopic image data obtained under a second observation condition, and an image output unit configured to output the corresponding image data. The corresponding image data may be image data corresponding to a first focal plane from which the first microscopic image data are obtained, and wherein the second microscopic image data and the third microscopic image data may be image data on a second focal plane and a third focal plane, respectively, which are different from the first focal plane.

Image processing device, microscope system, image processing method, and program

An image analysis device includes a first calculating part that calculates a magnitude of motion of an image element from time-series images of pulsating myocardial cells, a second calculating part that calculates a feature quantity on the basis of the magnitude of the motion of the image element calculated by the first calculating part, and an identifying part that identifies whether the image element is a predetermined image element on the basis of the feature quantity calculated by the second calculating part.

Image analysis device, image analysis method, image analysis program, cell manufacturing method, cell culturing method, and cell manufacturing device

An image-processing program for cell observation comprises obtaining a first image showing a plurality of cells in an observation region, the first image being captured by an imaging device, and a second image showing the observation region, the second image being captured by the imaging device a predetermined time before the first image is captured; selecting one cell as a cell of interest from the plurality of cells included in the first image; specifying cells on the periphery of the cell of interest as peripheral cells; calculating movement statistics of the peripheral cells with respect to the cell of interest on the basis of the amount of relative movement of the cell of interest and the peripheral cells in the first image and the second image; and outputting the calculated movement statistics of the peripheral cells.

Image analysis method for cell observation, image-processing program, and image-processing device

An image processing device determines the degree of activity of a cell during cell viewing. An imaging device captures first and second images of a cell under observation. After aligning the rotational angle orientations on the image plane of the cell under observation that is included in the images, a correlation value or difference of intracellular texture feature values in the first image and second image, is sequentially computed. A time series variation of the computed correlation value or difference is then derived, and the degree of activity of the cell under observation is detected based on the state of variation.

Method for detecting cell states, and image processing device for cell viewing

An image processing program (GP) attains (S) time lapse images, extracts (S) a cell aggregation from each of the obtained images, and calculates (S), for the entire region of the cell aggregation, the spatial distribution in pixel values and temporal change in pixel values of a small region in the extracted cell aggregation. The program determines (S) the state of change of the cell aggregation toward becoming multi-layered, on the basis of the calculated spatial distribution and time lapse change of pixel values, and outputs (S) the results of the determination. The image processing program (GP) is configured so as to determine and output, from time lapse images, the state of change of the cell aggregation toward becoming multi-layered.

Technique for determining the state of a cell aggregation image processing program and image processing device using the technique, and method for producing a cell aggregation

An image-processing method for processing a time lapse image includes acquiring a first image obtained by capturing an image of an object located within a field of view using an imaging device and a second image obtained by capturing an image of the object located within the field of view using the imaging device after a predetermined time period has elapsed, calculating a positional correction value for a positional shift between the first image and the second image, by using a correlation function weighted according to an image feature of each of the objects included in the first image and the second image, and performing, based on the calculated positional correction value, a positional correction between the first image and the second image. The time lapse image is generated using the first image and the second image on which the positional correction has been performed.

Image-processing method, image-processing program and image-processing device for processing time-lapse image

An image processing program for cell observation in which living cells can be distinguished from foreign matter other than living cells during cell observation under wide observation conditions. The image processing program includes a step for capturing first and second images of an object positioned in the observation field of view at a predetermined time interval, a step for extracting a representation of the object shown in the obtained images, steps for aligning the rotational angular orientation of the object in the image plane and computing a correlation value, a step for determining whether the object is a living cell on the basis of the computed correlation value, and steps for outputting the result of the decision made with regard to the object.

Method for distinguishing living cells during cell observation, image processing program for cell observation, and image processing device

A spectral image processing method is capable of reducing noise while maintaining necessary information. The spectral image processing method performs processing on a spectral image of a specimen, including a step of normalizing spectra (=spectral brightness curves) of respective pixels constituting the spectral image such that their brightness levels become equal, a step of smoothing the normalized spectra in spatial directions of the respective pixels, and a step of denormalization of multiplying spectra of the respective pixels obtained by the smoothing by either one of brightness levels of the pixels corresponding the spectra and values corresponding to the brightness levels. Consequently, the noise can be reduced while information on brightness distribution on the image is maintained.

Spectral image processing method, computer-executable spectral image processing program, and spectral imaging system

A spectral image processing system and method of performing robust unmixing on measurement noise. Based on an observed spectral image acquired from a specimen and emission spectral data of each of plural materials contained in the specimen, a contribution of each of the plural materials to the observed spectral image is unmixed by a process, including an evaluating step of evaluating reliability of each component of the observed spectral image based on a predicted spectral image of the observed spectral image, and a reflecting step of reflecting a result of the evaluation in a content of the unmixing.

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Ageo, Japan

Masafumi Mimura