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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839157/
https://www.ncbi.nlm.nih.gov/pubmed/33553890
http://dx.doi.org/10.1021/acsomega.0c04929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839157/
https://www.ncbi.nlm.nih.gov/pubmed/33553890
http://dx.doi.org/10.1021/acsomega.0c04929

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