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| 한글제목(Korean Title) |
AlexNet 합성곱 신경망을 이용한 렌즈프리 그림자 이미징 기술로 측정한 자연 살해 세포의 분류 |
| 영문제목(English Title) |
Classificaion of natural killer cell with lens-free shadow imaging technology using AlexNet convolutional neural networks |
| 저자(Author) |
이아현
신상훈
이인하
채영훈
전현식
서성규
Ahyeon Lee
Sanghoon Shin
Inha Lee
Yeonghun Chae
Hyun Sik Jun
Sungkyu Seo
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| 원문수록처(Citation) |
VOL 45 NO. 01 PP. 2497 ~ 2501 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This study presents a novel measurement of the natural killer cell’s activity with 470nm LED light and CMOS sensor. Measured NK cells can bedivided in three groups, non activated cell, activated cell, debris. This dataset can be trained by convolutional n neural network and used to gauge each NK cell sample’s activity. This method shows a high tendency when compared to IFN- γmeasured with ELISA. By measuring the natural killer cell’s activity, we can prepare for weakened immunity and diseases. |
| 키워드(Keyword) |
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| 파일첨부 |
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