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Image Search Results
Journal: BMC Infectious Diseases
Article Title: Evaluation of the SMARTCHEK Genesystem RT-qPCR assay for the detection of SARS-CoV-2 in clinical samples
doi: 10.1186/s12879-022-07319-0
Figure Lengend Snippet: Graph of the linearity assay to determine the LoD of the RT-qPCR and the RT-qPCR SMARTCHEK. A , B (Control 2019-nCoV_RdRp (ORF1ab)): The expected values (converted to log 10 ) were plotted on the X axis, and the average of the RT-qPCR Ct obtained from the three replicates was plotted on the Y axis (A is for RdRp gene evaluated by RT-qPCR SMARTCHEK and B is for RdRp gene evaluated by RT-qPCR). C , D ( Control 2019-nCoV_E): Expected values (converted to log 10 ) were plotted on the X axis, and the average of the RT-qPCR Ct obtained from the three replicates were plotted on the Y axis (C is for N gene and D is for E gene). Data are representative of three independent experiments with 3 replicates for each concentration. The software used was MedCalc v19.2.1
Article Snippet: The software used was
Techniques: Quantitative RT-PCR, Control, Concentration Assay, Software
Journal: BMC Infectious Diseases
Article Title: Evaluation of the SMARTCHEK Genesystem RT-qPCR assay for the detection of SARS-CoV-2 in clinical samples
doi: 10.1186/s12879-022-07319-0
Figure Lengend Snippet: Probit analysis of the sigmoid curve that informs the LoD of RT-qPCR SMARTCHEK and RT-qPCR. A RdRP gene for RT-qPCR SMARTCHEK and ( B ) RdRP gene for RT–qPCR. The X axis shows the expected concentration (copies/reaction). The Y-axis shows a fraction of positive results in all parallel reactions performed. The inner line is a probit curve. Outer lines are the 95% confidence interval (95% CI). The data is representative of three independent experiments with 8 replicates for each concentration
Article Snippet: The software used was
Techniques: Quantitative RT-PCR, Concentration Assay
Journal: BMC Infectious Diseases
Article Title: Evaluation of the SMARTCHEK Genesystem RT-qPCR assay for the detection of SARS-CoV-2 in clinical samples
doi: 10.1186/s12879-022-07319-0
Figure Lengend Snippet: Estimators of the RT-qPCR SMARTCHEK
Article Snippet: The software used was
Techniques:
Journal: BMC Infectious Diseases
Article Title: Evaluation of the SMARTCHEK Genesystem RT-qPCR assay for the detection of SARS-CoV-2 in clinical samples
doi: 10.1186/s12879-022-07319-0
Figure Lengend Snippet: Linearity chart comparing the RT-qPCR SMARTCHEK RdRp/N positive/negative samples and their detection based on the RdRp/E gene-based conventional RT-qPCR. A RT-qPCR SMARTCHEK RdRp positive/negative vs RdRp gene-based conventional RT-qPCR. B RT-qPCR SMARTCHEK N positive/negative vs RdRp gene-based conventional RT-qPCR. C RT-qPCR SMARTCHEK positive/negative vs E gene-based RT-qPCR. D RT-qPCR SMARTCHEK N positive/negative vs E gene-based conventional RT-qPCR
Article Snippet: The software used was
Techniques: Quantitative RT-PCR
Journal: BMC Infectious Diseases
Article Title: Evaluation of the SMARTCHEK Genesystem RT-qPCR assay for the detection of SARS-CoV-2 in clinical samples
doi: 10.1186/s12879-022-07319-0
Figure Lengend Snippet: Concordance and statistical relationship of RT-qPCR SMARTCHEK and conventional RT-qPCR. A Correlation coefficient between RdRp -RT-qPCR SMARTCHEK, N -RT-qPCR SMARTCHEK, RdRp -conventional RT-qPCR and E -conventional RT-qPCR. B Bland–Altman graphic showing the difference versus average to compare the Ct value of RdRp -RT-qPCR SMARTCHEK and RdRp -conventional RT-qPCR. C Bland–Altman graphic showing the difference versus average to compare the Ct value of N -RT-qPCR SMARTCHEK and E -conventional RT-qPCR
Article Snippet: The software used was
Techniques: Quantitative RT-PCR