AI-boosted CRISPR-Cas13a and total internal reflection fluorescence microscopy system for SARS-CoV-2 detection

AI-boosted CRISPR-Cas13a and total internal reflection fluorescence microscopy system for SARS-CoV-2 detection

Integrating artificial intelligence with SARS-CoV-2 diagnostics can help in the timely execution of pandemic control and monitoring plans. To improve the efficiency of the diagnostic process, this study aims to classify fluorescent images via traditional machine learning and deep learning-based tran...

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Bibliographic Details
Main Authors: Likun Zhang, Zhengyang Lei, Chufan Xiao, Zhicheng Du, Chenyao Jiang, Xi Yuan, Qiuyue Hu, Shiyao Zhai, Lulu Xu, Changyue Liu, Xiaoyun Zhong, Haifei Guan, Muhammad Hassan, Ijaz Gul, Vijay Pandey, Xinhui Xing, Can Yang Zhang, Qian He, Peiwu Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Sensors
Subjects:
CRISPR-Cas13a
TIRFM
machine learning
transfer learning
Densenet-121
SARS-CoV-2
Online Access:https://www.frontiersin.org/articles/10.3389/fsens.2022.1015223/full

Internet

https://www.frontiersin.org/articles/10.3389/fsens.2022.1015223/full

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