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Virus detection light diffraction fingerprints for biological applications

文献类型： 外文期刊

作者： Li, Tongge 1 ; Yang, Ning 1 ; Xiao, Yi 2 ; Liu, Yan 2 ; Pan, Xiaoqing 3 ; Wang, Shihui 1 ; Jiang, Feiyang 1 ; Zhang, Zhaoyuan 1 ; Zhang, Xingcai 2 ;

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

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

3.Jiangsu Acad Agr Sci, Inst Livestock Sci, Nanjing 210014, Peoples R China

期刊名称：SCIENCE ADVANCES （ 影响因子：13.6； 五年影响因子：15.4 ）

ISSN： 2375-2548

年卷期： 2024 年 10 卷 11 期

页码：

收录情况： SCI

摘要： The transmission of viral diseases is highly unstable and highly contagious. As the carrier of virus transmission, cell is an important factor to explore the mechanism of virus transmission and disease. However, there is still a lack of effective means to continuously monitor the process of viral infection in cells, and there is no rapid, high-throughput method to assess the status of viral infection. On the basis of the virus light diffraction fingerprint of cells, we applied the gray co-occurrence matrix, set the two parameters effectively to distinguish the virus status and infection time of cells, and visualized the virus infection process of cells in high throughput. We provide an efficient and nondestructive testing method for the selection of excellent livestock and poultry breeds at the cellular level. Meanwhile, our work provides detection methods for the recessive transmission of human-to-human, animal-to-animal, and zoonotic diseases and to inhibit and block their further development.

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