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Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Prisms Software, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
One Way Anova Analysis, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Prism7, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriginLab corp built-in function in origin pro 8.1
Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Built In Function In Origin Pro 8.1, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GraphPad Software Inc graphpad prism 10
Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Graphpad Prism 10, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc machine learning toolbox
Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GraphPad Software Inc graphpad prism 5
Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the <t>PRISM</t> <t>software</t> (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.
Graphpad Prism 5, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the PRISM software (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.

Journal: Biomedicines

Article Title: A Protein Microarray-Based Respiratory Viral Antigen Testing Platform for COVID-19 Surveillance

doi: 10.3390/biomedicines10092238

Figure Lengend Snippet: Representative antibody pair screening experiment. Recombinant SARS-CoV-2 NP was serially diluted and probed on pads. ( a ) A representative protein microarray image showing all 16 pads which are consisted of identical arrays of proteins. The brightness of the image was adjusted from 0 to 15,000 using ImageJ. ( b ) A representative image of a single pad is shown with labels. Each label indicates the following reagents: label 1—fiducials, label 2, 3, 5, and 6—anti-SARS-CoV-2 NP capture antibodies (reagent number 8, 14, 11, and 12 in , respectively), and label 4—recombinant SARS-CoV-2 NP (reagent number 1 in ). The anti-SARS-CoV-2 NP capture antibodies were printed at different concentrations in duplicates. Fluorescence signals captured from the highest printing concentrations (red box) were used from each pad to calculate K D and Bmax. ( c ) A representative graph after curve-fitting using the antibody pair 1 in is shown. Recombinant SARS-CoV-2 NP was serially diluted in a five-fold and probed on protein microarray. A total of ten concentration points were tested. After probing, fluorescence signals from each concentration point were measured and recorded. Using a built-in function in the PRISM software (nonlinear regression, one site—specific binding), K D and Bmax were calculated, which were used for the main parameters to determine the best antibody pair to detect SARS-CoV-2 NP on the protein microarray. Some error bars were not present on the graph because they were too small to be drawn. A single experiment with two technical replicates was performed for each antibody pair.

Article Snippet: One-way ANOVA, followed by Tukey’s multiple comparisons, was performed using the built-in function in PRISM software (GraphPad, San Diego, CA, USA).

Techniques: Recombinant, Microarray, Fluorescence, Concentration Assay, Software, Binding Assay