2023
DOI: 10.1007/s13206-023-00095-2
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Deep Learning-Assisted Droplet Digital PCR for Quantitative Detection of Human Coronavirus

Abstract: Since coronavirus disease 2019 (COVID-19) pandemic rapidly spread worldwide, there is an urgent demand for accurate and suitable nucleic acid detection technology. Although the conventional threshold-based algorithms have been used for processing images of droplet digital polymerase chain reaction (ddPCR), there are still challenges from noise and irregular size of droplets. Here, we present a combined method of the mask region convolutional neural network (Mask R-CNN)-based image detection algorithm and Gauss… Show more

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Cited by 8 publications
(2 citation statements)
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“…Limited availability of testing kits, reagents, and laboratory capacity impedes mass testing efforts, leading to delays in identifying positive cases and potential underreporting. Researchers and healthcare professionals have thus explored innovative Biosensors 2024, 14, 91 2 of 9 approaches, such as point-of-care testing, to expedite diagnoses and reach underserved populations [10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Limited availability of testing kits, reagents, and laboratory capacity impedes mass testing efforts, leading to delays in identifying positive cases and potential underreporting. Researchers and healthcare professionals have thus explored innovative Biosensors 2024, 14, 91 2 of 9 approaches, such as point-of-care testing, to expedite diagnoses and reach underserved populations [10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…This feature allows for direct and independent DNA quantification, providing more precise and reproducible data with a strong anti-interference ability [8]. Furthermore, ddPCR has proven to be an effective method for detecting low-abundance targets [9], which holds great potential in pathogen detection applications [5,[10][11][12][13]. The emergence of ddPCR has greatly improved the accuracy and sensitivity of nucleic acid detection.…”
Section: Introductionmentioning
confidence: 99%