Webtools

Signal Intensity Analysis Models the signal intensity of the antigen test in relation to the target variable, which can either be viral load or protein concentration. We derive the estimation of the Limit of Detection (LOD) and the Adsorption Equilibrium Constant (Ka) using the adjusted Langmuir-Freundlich model. Go to site →
Probability of Positive Agreement Models the Probability of Positive Agreement as a function of various alternative variables, such as qRT-PCR cycles, antigen test signal intensity, viral load or target protein concentration. Calculates basic performance statistics for evaluating naked-eye antigen test binary assessment in comparison to a reference standard. Go to site →
Image Processing Enables analysts to efficiently measure the signal intensity of antigen test devices captured in photographs within a target dilution series. It also generates a range of files to support subsequent analyses of signal intensity and the probability of positive agreement. Go to site →
Positive Agreement Balancer Models the Probability of Positive Agreement from the clinical data adjusting the viral load (qRT-PCR Ct distribution of the data). Calculates the expected performance metrics and compares it with the statistics derived from the original raw data. Go to site →
Antigen Test 3D viewer Shows a 3D view of the antigen test strip results, allowing for detailed visual analysis. The color scale represents pixel intensity, enhancing the interpretability of the data. Go to site →
Epidemic Simulator Models the effect of rapid antigen testing frequency in dissease epidemic dynamics. It takes into account population-related factors and test adjustable parameters, including sensitivity (Positive Percent Agreement -PPA), especificity (Negative Percent Agreement -NPA) and the frequency of test application over a specified time frame. Go to site →