Hamamatsu-Photonics K.k.

Kyoto University

Hamamastu Photonics K.k.

Norikazu Sugiyama

Satoshi Yamamoto

Masanori Matsubara

Takuji Kataoka

Toyohiko Yamauchi

Takahiro Ikeda

Yoshinori Mizuguchi

Ikuo Arata

Hidenao Iwai

Shigeru Uchiyama

Masahiko Hirano

Tadashi Fukami

Hidenao Yamada

Norio Nakatsuji

Hideshi Oishi

Tomochika Takeshima

Kiyoshi Kamiya

Masanori Kobayashi

Kentaro Goto

Kouichi Kaneko

Hideji Fujiwake

Iwayo Nakagawa

Yumi Kakuno

Hideshi Ohishi

A sample observation device includes a sample container that holds the sample stained with a first fluorescent substance and a solution including a second fluorescent substance, an irradiation unit that performs irradiation with first excitation light and second excitation light, a scanning unit that scans the sample container in one direction, an image formation unit that forms first fluorescent light from the sample and second fluorescent light from the solution, an imaging unit that outputs first image data based on the first fluorescent light and first image data based on the second fluorescent light, an image processing unit that generates a first fluorescent light image based on a plurality of pieces of first image data and a second fluorescent light image based on a plurality of pieces of second image data, and an analysis unit that specifies an area in which there is the sample on the basis of the second fluorescent light image and sets an analysis area in the first fluorescent light image.

Sample observation device and sample observation method

A sample observation device includes a flow cell in which a fluid containing samples flows, an irradiation unit configured to irradiate the samples flowing in the flow cell with planar light, an image formation unit having an observation axis inclined with respect to an irradiation surface for the planar light, and configured to form an image of observation light generated in the sample due to the irradiation with the planar light, a two-dimensional imaging element configured to capture a light image including at least a cross section of the fluid among light images according to the observation light formed by the image formation unit, and outputs image data, and an analysis unit configured to analyze a light intensity profile of the sample in a flow direction of the fluid on the basis of the image data.

A sample observation device () includes: an emission optical system () for emitting planar light (L) onto a sample (S); a scanning unit () for scanning the sample (S) with respect to an emission face (R) of the planar light (L); an imaging optical system () having an observation axis (P) inclined with respect to the emission face (R) and for forming an image from observation light (L) generated in the sample (S) in accordance with the emission of the planar light (L); an image acquiring unit () for acquiring a plurality of partial image data corresponding to a part of an optical image according to the observation light (L) formed as an image by the imaging optical system (); and an image generating unit () for generating observation image data of the sample S based on the plurality of partial image data generated by the image acquiring unit ().

A sample observation device includes an irradiation unit that irradiates a sample with planar light, a scanning unit that scans the sample in one direction with respect to an irradiation surface of the planar light, an image formation unit that forms images of fluorescent light and scattered light from the sample, an imaging unit that outputs first image data based on a light image of the fluorescent light and second image data based on a light image of the scattered light, an image processing unit that generates a fluorescent light image on the basis of a plurality of pieces of first image data and generates a scattered light image on the basis of a plurality of pieces of second image data, and an analysis unit that specifies an area in which there is the sample in the fluorescent light image on the basis of the scattered light image, and sets an analysis area in the fluorescent light image on the basis of the area in which there is the sample.

A sample observation device includes an imaging unit that images observation light generated due to irradiation with the planar light that is transmitted through a membrane filter and outputs fluorescent light image data, a partial image generation unit that specifies a first area corresponding to a first sample holding space and a second area corresponding to a second sample holding space in the fluorescent light image data, and generates first partial image data corresponding to the first area and second partial image data corresponding to the second area, an observation image generation unit that generates first observation image data and second observation image data on the basis of the partial image data, and an analysis unit that analyzes a sample on the basis of the first observation image data and the second observation image data.

The present invention relates to a cell assessment method characterized in including an acquisition step of acquiring an optical path length image of a small cell clump, an extraction step of extracting a cell nucleus region within the acquired optical path length image, a comparison step of comparing an optical path length of an inside and an optical path length of an outside of the extracted cell nucleus region, and an assessment step of assessing whether or not a cell is a stem cell based on the comparison results.

Cell assessment method, cell assessment device, and cell assessment program

An aggregated cell evaluation apparatus includes a laser light source, a speckle image acquisition unit, an SC calculation unit, an evaluation unit, and a memory unit. The speckle image acquisition unit acquires a two-dimensional speckle image by forward scattered light generated in aggregated cells by irradiation of the aggregated cells with laser light output from the laser light source. The SC calculation unit calculates a speckle contrast value Kof a speckle image Iat each time t, determines a maximum value Kamong the speckle contrast values Kto K, and normalizes the speckle contrast value Kat each time tby the maximum value Kto obtain a normalized speckle contrast value K'. The evaluation unit evaluates motion of the aggregated cells, based on the normalized speckle contrast value K&#x2032; at each time t.

Aggregated cell evaluation method and aggregated cell evaluation device

The present invention provides a method for determining differentiation level of pluripotent stem cell, comprising a step of determining a flatness of cultured pluripotent stem cell, wherein the flatness is an indication.

Method for determining differentiation level of pluripotent stem cells

A method for observing stem cells by an observation devicecomprises, placing stem cells C in a petri dish, mounting the petri dishon a waveguidevia water, emitting illumination light Linto the waveguideand emitting the illumination light Lto the stem cells C in the petri dishvia the water, and detecting scattered light L, the scattered light Lbeing the illumination light Lemitted to the stem cells C that is scattered by the stem cells C and has passed through the waveguide. Then, in the light image detected by means of the scattered light L, a region that is markedly darker than other regions is identified as being in the state tending toward differentiation.

Method for observing stem cells, method for removal of cell region in state tending toward differentiation, and device for observing stem cells

A membrane potential change detection device is provided with a reflection interference measurement light source, a holder which holds a transparent member on which cells are mounted, a reflection interference detection camera which images light emitted from the reflection interference measurement light source and reflected from the cells through the transparent member, to generate a reflection interference image, and an analysis unit which calculates a parameter dI about adhesion between the cells and the transparent member from the reflection interference image and detects a change of membrane potential of the cells on the basis of a change of the parameter dI.

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Hamamatsu, Japan

Norikazu Sugiyama