Sysmex Corporation

National Cancer Center

Tokyo Medical and Dental University

Yuki Aihara

Kazumi Hakamada

Yosuke Sekiguchi

Kohei Yamada

Kanako Masumoto

Krupali Jain

Eiji Kobayashi

Toshiyuki Sato

Hiroshi Yoshida

Masaya Okada

Kenji Akama

Nobuyasu Hori

Masaki Shibayama

Koya Yamawaki

Ichiro Sekiya

Masakazu Kadowaki

The present invention provides an image analysis method for generating data indicating a region of a cell nucleus in an image of a tissue or a cell. The image analysis method is a method for analyzing an image of a tissue or a cell using a deep learning algorithm of a neural network structure, and generates data indicating a region of a cell nucleus in an analysis target image by the deep learning algorithm by generating analysis data from the analysis target image including an analysis target tissue or cell, and inputting the analysis data in the deep learning algorithm.

Image analysis method, apparatus, program, and learned deep learning algorithm

Disclosed is a method for concentrating extracellular vesicles, comprising preparing a mixture comprising a first fraction and a second fraction by mixing a liquid sample comprising extracellular vesicles, a polysaccharide, and a polyether having an average molecular weight of 20,000 or less, wherein the first fraction comprises a higher concentration of extracellular vesicles than the second fraction, and the first fraction comprises a higher concentration of extracellular vesicles than the liquid sample.

Method for concentrating extracellular vesicles

An image analysis method for generating data indicating a tumorigenic state of an image of a tissue or a cell. The image analysis method is an image analysis method for analyzing an image of a tissue or a cell using a deep learning algorithm of a neural network structure, analysis data are generated from the analysis target image including a tissue or cell to be analyzed, the analysis data are input to the deep learning algorithm, and data indicating the tumorigenic state of tissues or cells in the analysis target image are generated by the depth learning algorithm.

Image analysis method, image analysis apparatus, program, learned deep layer learning algorithm manufacturing method and learned deep layer learning algorithm

An image analysis method for analyzing an image of a tissue collected from a subject using a deep learning algorithm of a neural network structure. The image analysis method includes generating analysis data from the analysis target image that includes the tissue to be analyzed, inputting the analysis data to a deep learning algorithm, and generating data indicating a layer structure configuring a tissue in the analysis target image by the deep learning algorithm.

Image analysis method, image analysis apparatus and learned deep layer learning algorithm manufacturing method

A method comprises obtaining a first cell image of a cell by a first observation method, obtaining a second cell image of the cell by a second observation method that is different from the first observation method, and determining the region of the cell based on the first cell image and the second cell image.

Cell area determination method, cell imaging system, and cell image processing apparatus

Disclosed is a method for obtaining differentiated cells and/or differentiated cell products, including the steps of: introducing undifferentiated cells into a perfused organ or living tissue; subjecting the undifferentiated cells introduced to perfusion culture together with the organ or living tissue so as to allow the undifferentiated cells to differentiate, thereby obtaining differentiated cells and/or differentiated cell products; collecting a perfusion culture solution that contains the resulting differentiated cells and/or differentiated cell products; and obtaining the differentiated cells and/or differentiated cell products contained in the collected perfusion culture solution.

Method for obtaining differentiated cells and/or differentiated cell products from undifferentiated cell and a method of perfusion culture

Growing community of inventors

Kobe, Japan

Yuki Aihara