Seiko Instruments Inc

Canon Kabushiki Kaisha

Mitsubishi Electric Corporation

Hitachi-high-technologies Corporation

Hitachi, Ltd.

Mitsubishi Denki Kabushiki Kaisha

Nippon Telegraph and Telephone Corporation

Hitachi High-tech Corporation

Thine Electronics, Inc.

Duplo Corporation

Other

Sumitomo Cement Co., Ltd.

Seiko Instruments R & D Center Inc.

Mitsubishi Electronics Corporation

Sumitomo Bakelite Company Limited

Shuhei Yamamoto

Yoshihito Hirano

Takayuki Yanagisawa

Yasuharu Koyata

Masafumi Hoshino

Teruo Ebihara

Ryoji Inaba

Yoji Teramoto

Shigeru Senbonmatsu

Naoki Kato

Reiko Kubota

Tomohiro Shoji

Michiru Fujioka

Hiroyuki Fujita

Takakazu Fukuchi

Hiroyuki Toda

Shunichi Motte

Osamu Yamazaki

Naotoshi Shino

Hirotomo Oniwa

Fujio Matsu

Motohiro Yamazaki

Tomonari Nakayama

Takashi Anazawa

Masaya Kojima

Hiromi Yamashita

Minoru Sano

Yasushi Shimizu

Toshiaki Kita

Masao Fukunaga

Taro Nakazawa

Tomonari Morioka

Daizo Tokinaga

Yoshiyuki Okishima

Takayasu Furukawa

Kiyoshi Tsukada

Akihiro Suzuki

Shun Ouchi

Rieko Sekura

Satoshi Miura

Tadao Iwaki

Masato Ishizawa

Mitoru Yabe

Junri Ishikura

Yoko Inoue

Tsutomu Nagatsuka

Yoshiyuki Shoji

Tsuyoshi Sonehara

Norihiko Ochi

Masatoshi Kitagawa

Yosuke Akino

Takeshi Kurashima

Hiromi Kusaka

Yusuke Tanaka

Akira Nakamura

Manabu Oumi

Yasuyuki Mitsuoka

Nobuyuki Kasama

Tetsuya Iizuka

Masanori Fujita

Wataru Okada

Yoshihiro Yamashita

Toshiyuki Ando

Ryusuke Kimura

Takunori Taira

Tetsuya Nishimura

Mitsuru Suginoya

Kazutaka Ikeda

Hiroyuki Higashino

Toshinari Sakurai

Masayuki Suda

Hiroshi Sakuma

Akira Fujii

Yoshitaka Kodama

Toshiharu Takesue

Shunichi Kubo

Seiichi Ozawa

Hiroshi Umetsu

Takao Endo

Koji Koizumi

Katsumoto Hosokawa

Noriyuki Miyamoto

Yasuhiro Takemura

Takeshi Ooura

Kohshi Maeda

Katsuhiro Aritome

Takanobu Haga

Yasuhisa Tamagawa

Takuya Matsui

Kunihiro Asada

Tetsuo Funakura

Junko Yamanaka

Yuichiro Ota

Hideaki Inokuchi

Ayaka Okuno

Akimasa Osaka

Kazuhiro Tanaka

Takamichi Muramatsu

Miwa Takachi

Shogo Nakano

In an instrument configured to spectroscopically divide fluorescences emitted from a plurality of capillaries and collectively measure the fluorescences using an image sensor, when the number of pixels of a binning region on the image sensor on which a predetermined wavelength-band component of each fluorescence is projected is denoted by B, the number of pixels of hardware binning is denoted by B, the number of pixels of software binning is denoted by B, B=B×B, the total noise measured in a case where B=B=B=1 is denoted by N, the readout noise is denoted by N, the dark-current noise is denoted by N, and the shot noise is denoted by N, B, B, B, N, N, N, and Nsatisfy a predetermined relationship, thereby realizing high sensitivity and high dynamic range in fluorescence measurement.

Multi-capillary electrophoresis instrument

An optical waveguide element of the present disclosure includes: a waveguide for propagating light; a clad including an upper clad whose lower surface is in contact with one surface of the waveguide and whose upper surface exposed to the outside is formed with a rough surface, and a lower clad whose upper surface is in contact with the other surface of the waveguide and whose lower surface is formed with a reflective surface; an incident end surface provided at one end of the waveguide and the clad; and an emission end surface provided at the other end of the waveguide and the clad, whereby incident light is optically coupled to the waveguide with high efficiency.

Optical waveguide element and optical axis adjustment method

Provided is a light transmitting member, which maintains an antifogging property over a long period of time, and is less liable to be contaminated with organic matter, the light transmitting member including, on a base material, a porous layer containing silicon oxide particles and a layer formed of a hydrophilic polymer, wherein a polymer ratio at a depth of 10 nm from a surface of the light transmitting member is 0.15 or more and 0.40 or less.

Light transmitting member and method of producing the same

A light-transmitting member includes a substrate including a resin layer, and a functional film disposed on the substrate. The substrate has a thickness of 1 μm or more and less than 1 mm. An optical thickness of the functional film with respect to light having a wavelength of 464 nm or more and 653 nm or less is less than a half of the wavelength. A contact angle of water with respect to an upper surface of the functional film in the light-transmitting member is less than 90°. The functional film has a porous portion containing a plurality of particles. A first particle and a second particle among the plurality of particles are bound to each other with a binder. Each of the first particle, the second particle, and the binder contains an inorganic material.

Light-transmitting member and shield

A learning device includes: a psychological state data preprocessing unit that calculates a duration of a psychological state from psychological state sequence data, and generates preprocessed psychological state sequence data including the psychological state and the duration; and a learning unit that learns a psychological state sequence prediction model, using input sequence data including behavior sequence data and the preprocessed psychological state sequence data, and correct sequence data that is preprocessed psychological state sequence data at a time later than the input sequence data.

Learning apparatus, mental state sequence prediction apparatus, learning method, mental state sequence prediction method and program

In an analysis method and an analysis system for detecting fluorescences from each of a plurality of light-emitting points in a plurality of wavelength bands in order to identify fluorescence emissions of a plurality of types of fluorophores from the plurality of light-emitting points, spatial crosstalk and spectral crosstalk are present between the plurality of light-emitting points and between the plurality of wavelength bands, and then performance of the identification is reduced. The spatial crosstalk and the spectral crosstalk are eliminated and concentrations of each of the plurality of types of fluorophores at each of the plurality of light-emitting points are derived by inputting all detection signals in the plurality of wavelength bands for the plurality of light-emitting points to a predetermined arithmetic operation expression.

Analysis system and analysis method

A hazard estimation unitestimates a likelihood of an occurrence of an event according to a hazard function, with respect to each of a plurality of pieces of time-series data that are a series of multiple pieces of data to which an event occurrence time relevant to the data is given in advance and that include time-series data in which the event did not occur and time-series data in which the event occurred. A parameter estimation unitestimates a parameter of the hazard function so as to optimize a likelihood function expressed by including the event occurrence time given with respect to each of the plurality of pieces of time-series data and the likelihood of the occurrence of the event estimated with respect to each of the plurality of pieces of time-series data.

Event occurrence time learning device, event occurrence time estimation device, event occurrence time learning method, event occurrence time estimation method, event occurrence time learning program, and event occurrence time estimation program

The present disclosure provides a member having a porous layer containing particles and having a low refractive index and high film strength and a coating liquid for forming a porous layer containing particles, wherein the porous layer contains a plurality of silicon oxide particles bound by an inorganic binder and at least one acid.

Member with porous layer and coating liquid for forming porous layer

Aiming at achievement of timely installation of the cartridge, sequential execution of the pretreatment process in the order of installation of the cartridge, and individual shifting of the process to the electrophoresis process upon completion of the pretreatment process, the electrophoresis device according to the present invention includes a plurality of capillaries each filled with a separation medium, a thermostat chamber for holding the capillaries at a predetermined temperature, an irradiation detector which executes light irradiation and detection in an electrophoresis process using the capillaries, a high voltage power supply unit for voltage application to the capillaries, a liquid feeding mechanism for feeding the separation medium to the capillaries, and an autosampler for conveying containers each holding a reagent or a sample to the capillary. The voltage application to the capillaries by the high voltage power supply unit is controlled for each of the capillaries.

Electrophoresis device capable of carrying out electrophoresis on plurality of samples independently

An optical member having a porous layer having both low scattering and film strength is provided. The optical member is an optical member, having a porous layer in which a plurality of silicon oxide particles are bound with an inorganic binder on a base material, and the porous layer contains a fluorine-containing organic acid having 5 or more and 11 or less fluorine atoms in one molecule.

Optical member, optical device and coating liquid

An article includes a film on a surface thereof, the film containing a resin, an organic azo-based particle, and a Ti- and O-containing particle so that the film is not separated or cracked and has a good design and good heat-shielding properties.

Article including film, optical apparatus, coating material, and method for producing article

An optical element has a lanthanum-containing glass substrate and a light-shielding film on part of the surface of the glass substrate. The light-shielding film is made from a light-shielding paint that contains at least an epoxy resin, fine particles of titania, a dye, an organic solvent, and an amine-based curing agent. The organic solvent in the light-shielding paint has a vapor pressure of 160 Pa or more and 960 Pa or less at a temperature of 20&#xb0; C. The viscosity of the light-shielding paint is 10.0 mPa&#xb7;s or more and 100 mPa&#xb7;s or less.

Light-shielding paint, light-shielding paint set, light-shielding film, optical element, and method for producing optical element

In a right-handed XYZ coordinate system, a dichroic-mirror array of the present disclosure includes a first group in which m (m&#x2265;2) dichroic mirrors DAto DAm are arranged parallel to each other along a positive direction of an X axis and a second group in which n (n&#x2265;2) dichroic mirrors DBto DBn are arranged parallel to each other along a negative direction of the X axis. Incident surfaces of the DAto DAm and incident surfaces of the DBto DBn are perpendicular to an XZ plane. A slope of straight lines with normal lines of the incident surfaces of the DAto DAm projected onto the XZ plane are negative, and a slope of straight lines with normal lines of incident surfaces of DBto DBn projected onto the XZ plane are positive.

Dichroic mirror array and light detecting device

A moving state analysis device improves accuracy of moving state recognition by including a detection unit configured to detect, from image data associated with a frame, an object and a region of the object, for each of frames that constitute first video data captured in a course of movement of a first moving body, and a learning unit configured to learn a DNN model that takes video data and sensor data as input and that outputs a probability of each moving state, based on the first video data, a feature of first sensor data measured in relation to the first moving body and corresponding to a capture of the first video data, a detection result of the object and the region of the object, and information that indicates a moving state associated with the first video data.

Moving state analysis device, moving state analysis method, and program

A movement state recognition multitask DNN model training sectiontrains a parameter of a DNN model based on an image data time series and a sensor data time series, and based on first annotation data, second annotation data, and third annotation data generated for the image data time series and the sensor data time series. Training is performed such that a movement state recognized by the DNN model in a case in which input with the image data time series and the sensor data time series matches movement states indicated by the first annotation data, the second annotation data, and the third annotation data. This thereby enables information to be efficiently extracted and combined from both video data and sensor data, and also enables movement state recognition to be implemented with high precision for a data set including data that does not fall in any movement state class.

Movement state recognition model training device, movement state recognition device, methods and programs therefor

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Tokyo, Japan

Shuhei Yamamoto