Hamamatsu-Photonics K.k.

Hamamatsu University School of Medicine

National University Corporation Hamamatsu University School of Medicine

Hirotoshi Kikuchi

Daisuke Yamashita

Hidenao Yamada

Shigetoshi Okazaki

Amane Hirotsu

Yusuke Ozaki

Toyohiko Yamauchi

Hidenao Iwai

Hiroyuki Konno

A cell observation system observes a cell moving in a flow path with a fluid, and includes a first imaging apparatus, a second imaging apparatus, and a control device. The first imaging apparatus includes a first optical system and a first imaging element, and captures an image of the cell at a first position in a moving direction. The second imaging apparatus includes a second optical system, in which a focus is adjusted based on a focus adjustment signal, and a second imaging element, and captures an image of the cell at a second position downstream of the first position. The control device obtains a passing position of the cell in a cross section of the flow path based on the image obtained by the first imaging element, generates the focus adjustment signal, and provides the signal to the second optical system.

Cell observation system and cell observation method

A cell observation system observes a cell moving in a flow path with a fluid, and includes a first observation apparatus, a second observation apparatus, and a control device. The first observation apparatus includes an objective lens and a line camera. The second observation apparatus includes an objective lens and an area camera. The control device analyzes first imaging data output from the first observation apparatus to determine whether the cell satisfies a specific condition, instructs the area camera to output second imaging data of the cell determined to satisfy the specific condition, and analyzes the second imaging data output from the second observation apparatus to determine whether the cell is a specific cell.

The identification apparatus includes a quantitative phase image acquisition unit, a feature quantity extraction unit, a learning unit, a storage unit, and an identification unit. The feature quantity extraction unit extracts a feature quantity of a quantitative phase image of a cell. The learning unit performs machine learning for a quantitative phase image of a known cell of which a type is known based on the feature quantity extracted by the extraction unit. The storage unit stores a result of the machine learning by the learning unit. The identification unit determines, based on the feature quantity extracted by the extraction unit for the quantitative phase image of an unknown cell of which a type is unknown, the type of the unknown cell using the learning result stored by the storage unit.

Identification device and identification method

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Hamamatsu, Japan

Hirotoshi Kikuchi