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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
Hlavní autoři: Samacoits, Aubin, Nimsamer, Pattaraporn, Mayuramart, Oraphan, Chantaravisoot, Naphat, Sitthi-amorn, Pitchaya, Nakhakes, Chajchawan, Luangkamchorn, Lumrung, Tongcham, Phongsakhon, Zahm, Ugo, Suphanpayak, Suchada, Padungwattanachoke, Natta, Leelarthaphin, Nutcha, Huayhongthong, Hathaichanok, Pisitkun, Trairak, Payungporn, Sunchai, Hannanta-anan, Pimkhuan
Médium: Artigo
Jazyk:Inglês
Vydáno: American Chemical Society 2021
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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