2023
DOI: 10.1016/j.talanta.2023.124470
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Paper microfluidics with deep learning for portable intelligent nucleic acid amplification tests

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Cited by 9 publications
(4 citation statements)
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“…Nanomaterials meet microfluidic and LoC technologies to create multifunctional and intelligent platforms and enhance the sensitivity and selectivity of the analytical systems [ 121 , 122 ]. Smart and portable sensor devices allow rapid on-site detection of plant disease infections with low cost and simplicity without expert knowledge and skills [ [123] , [124] , [125] ]. Fretias and coworkers have described a disposable microfluidic electrochemical device for the detection of the Citrus tristeza virus (CTZ), a common infection virus in citrus around the world ( Fig.…”
Section: Pathogen Diagnosismentioning
confidence: 99%
“…Nanomaterials meet microfluidic and LoC technologies to create multifunctional and intelligent platforms and enhance the sensitivity and selectivity of the analytical systems [ 121 , 122 ]. Smart and portable sensor devices allow rapid on-site detection of plant disease infections with low cost and simplicity without expert knowledge and skills [ [123] , [124] , [125] ]. Fretias and coworkers have described a disposable microfluidic electrochemical device for the detection of the Citrus tristeza virus (CTZ), a common infection virus in citrus around the world ( Fig.…”
Section: Pathogen Diagnosismentioning
confidence: 99%
“…133 AI has been employed to analyze the LFA images of SARS-CoV-2 self-tests, 134 select an optimal subset of antigen/peptide targets used in a paper-based, multiplexed, vertical flow assay for detecting Lyme disease, 135 and shorten the RT-LAMP assay time by analyzing reaction dynamics at the early stage of amplification curve for SARS-CoV-2 detection using μPAD. 136…”
Section: Home Healthcare and Future At-home Testingmentioning
confidence: 99%
“…The platforms can be implemented without demanding great expertise in deep learning to extract meaningful results ( Dong et al, 2021 ). In the big data environment nowadays, data generated from low-cost pathogen-detecting paper microfiuidic devices by millions of globally distributed users could be paired with deep learning algorithms to track, predict, and ultimately contain disease outbreaks ( Sun et al, 2023b ). In addition to the detection of infectious disease and predicting rapidly evolving outbreaks, microfluidics may also play a role in a targeted distributed response.…”
Section: Problems and Prospectsmentioning
confidence: 99%