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Machine Learning-Driven and Smartphone-Based Fluorescence Detection for CRISPR Diagnostic of SARS-CoV-2
[Image: see text] Rapid, accurate, and low-cost detection of SARS-CoV-2 is crucial to contain the transmission of COVID-19. Here, we present a cost-effective smartphone-based device coupled with machine learning-driven software that evaluates the fluorescence signals of the CRISPR diagnostic of SARS...
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| Vydáno v: | ACS Omega |
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| Hlavní autoři: | , , , , , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Chemical Society
2021
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| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7839157/ https://ncbi.nlm.nih.gov/pubmed/33553890 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c04929 |
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