Hamamatsu-photonics K.k.

Osamu Yasuhiko

Hidenao Yamada

Kozo Takeuchi

Toyohiko Yamauchi

Fumio Hashimoto

Kibo Ote

Hisayuki Matsui

In a noise estimation step, a noise image included in a target image including linear noises extending along a first direction is estimated. In this case, an evaluation function including a first term representing a difference between a result obtained by performing differentiation processing in a second direction and low frequency component extraction processing in the first direction on the target image and a result obtained by performing differentiation processing in the second direction and low frequency component extraction processing in the first direction on the noise image is used to obtain the noise image which minimizes a value of the evaluation function. In a noise reduction step, a noise reduced image is generated from the target image based on the target image and the noise image.

Image processing device, image processing method, image processing program, and recording medium

An observation apparatus includes a light source, a lens, a polarizer, a first prism, a condenser lens, an objective lens, a second prism, a ¼ wave plate, a lens, a polarization camera, and an analysis unit. Each of the first prism and the second prism is, for example, a Wollaston prism or a Nomarski prism. The ¼ wave plate inputs light output from the second prism, and outputs two circularly polarized light beams having different rotation directions. The polarization camera inputs two light beams being circularly polarized in different rotation directions by the ¼ wave plate, and acquires an interference image on an imaging plane for each of three or more polarization components.

Observation device and observation method

The method includes an acquisition step for model generation of acquiring a hologram for model generation in which an image of a cell is captured and which is used to generate a learning model, a generation step for model generation of generating a new hologram for model generation having a different focal position from the acquired hologram for model generation and increasing the number of holograms for model generation, and a learning model generation step of generating a learning model by performing machine learning using the increased holograms for model generation.

Learning model generation method, identification method, learning model generation system, identification system, and non-transitory computer-readable storage medium

A measurement apparatus includes an interference image acquisition unit, a fluorescence image acquisition unit, an operation unit, and a timing control circuit. The operation unit generates an optical thickness image based on an interference image acquired by the interference image acquisition unit, generates a mask image showing a region in which pixel values in a fluorescence image acquired by the fluorescence image acquisition unit are larger than a threshold value, and determines an integrated value of an optical thickness in the region shown by the mask image in the optical thickness image.

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Hamamatsu, Japan

Osamu Yasuhiko