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Deep-Learning Terahertz Single-Cell Metabolic Viability Study

文献类型: 外文期刊

作者: Yang, Ning 1 ; Shi, Qian 1 ; Wei, Mingji 1 ; Xiao, Yi 2 ; Xia, Muming 2 ; Cai, Xiaolu 3 ; Zhang, Xiaodong 4 ; Wang, Wencong 1 ; Pan, Xiaoqing 5 ; Mao, Hanping 4 ; Zou, Xiaobo 6 ; Guo, Ming 7 ; Zhang, Xingcai 2 ;

作者机构: 1.Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China

2.Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA

3.Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Dept Biomed Engn, Wuhan 430074, Peoples R China

4.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Jiangsu, Peoples R China

5.Jiangsu Acad Agr Sci, Anim Husb & Vet Res Inst, Nanjing 210014, Jiangsu, Peoples R China

6.Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China

7.MIT, Sch Engn, Cambridge, MA 02139 USA

关键词: cell viability; deep learning; terahertz; cell apoptosis; absorption spectrum; spectroscopy; machine learning

期刊名称:ACS NANO ( 影响因子:17.1; 五年影响因子:17.1 )

ISSN: 1936-0851

年卷期: 2023 年 17 卷 21 期

页码:

收录情况: SCI

摘要: Cell viability assessment is critical, yet existing assessments are not accurate enough. We report a cell viability evaluation method based on the metabolic ability of a single cell. Without culture medium, we measured the absorption of cells to terahertz laser beams, which could target a single cell. The cell viability was assessed with a convolution neural classification network based on cell morphology. We established a cell viability assessment model based on the THz-AS (terahertz-absorption spectrum) results as y = a = (x - b)(c) , where x is the terahertz absorbance and y is the cell viability, and a, b, and c are the fitting parameters of the model. Under water stress the changes in terahertz absorbance of cells corresponded one-to-one with the apoptosis process, and we propose a cell 0 viability definition as terahertz absorbance remains unchanged based on the cell metabolic mechanism. Compared with typical methods, our method is accurate, label-free, contact-free, and almost interference-free and could help visualize the cell apoptosis process for broad applications including drug screening.

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