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Artificial intelligence quickly and accurately identify healthy stem cells

 Last Update: 2021-08-06
 Source: Internet
 Author: User

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In a study published in the journal Stem Cells in February this year, researchers at Tokyo Medical and Dental University (TMDU) reported that their artificial intelligence system DeepACT can accurately identify health, Creative skin stem cells

Stem cells can develop into several different types of mature cells, which means they can grow new tissues in the event of injury or disease

Keratinocyte stem cells are one of the few adult stem cells that grow well in the laboratory

In order to solve this problem, researchers are committed to developing a system that can automatically identify and track the movement of these stem cells

"We use a library of sample images to train this system through a process called'deep learning'," said co-first author Kotoku Jun'ichi

In addition to detecting individual stem cells, the DeepACT system also calculates the "movement index" of each colony, which indicates how fast the cells in the central area of the colony move compared to the cells in the peripheral area

Senior author Daisuke Nanba said: "DeepACT is a powerful new method for precise quality control of human keratinocyte stem cells, which will make this process more reliable and efficient

Considering that skin grafts will fail if they contain too many unhealthy or ineffective stem cells, being able to quickly and easily identify the most suitable cells will be a considerable clinical advantage

Journal Reference :

Takuya Hirose, Jun'ichi Kotoku, Fujio Toki, Emi K.

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