Despite the use of a common set of laboratory protocols, the dose calibration curves produced from each laboratory are unique and may produce different dose estimates 1). To determine DC counts and ensure internally consistent dose estimates, test samples and calibration curves from the same laboratory should both be processed using ADCI software. A calibration curve is required to perform dose estimation.
The curve calibration wizard guides users through the necessary steps to generate a curve from a set of processed samples. While using the wizard, dose and response data are automatically populated based on the combination of selected processed samples and SVM sigma value, streamlining the data-entry process. The steps within the wizard can also be performed manually if desired, those steps are described below.
This curve generation method requires processed samples. Click the icon and select “Fitting curve to Dose-Response data” from the dropdown list presented within the dialog box and click “OK”.
It is not recommended to enter curve coefficients if you intend to process test samples using ADCI software. If you enter curve coefficients, we recommend you also manually enter DC frequencies for dose estimation from a manual count of DCs. If a sample is processed using ADCI software it has an associated SVM sigma value. Higher SVM sigma values find more DCs than lower SVM sigma values but still generally underestimate DC counts when compared to expert manual examination2). Manual counts of DCs are of course not associated with any SVM sigma value. Therefore, entering curve coefficients generated from a manual count of DCs and performing dose estimation on a sample processed by ADCI software will not generate results accurately.
This curve does not require processed calibration samples. This option is meant for labs which have previously calculated calibration curves and have access to those curve coefficients. Please take note of the above warning when considering this curve generation option. To manually enter curve coefficients, click the icon and select “Filling curve coefficients” from the dropdown list presented within the dialog box and click “OK”.
A*Dose^2+B*Dose+C
Enter values under the headings “Quadratic Coefficient (A)”, “Linear Coefficient (B)”, and “Intercept (C)”.
To import a curve which has previously been saved, click the icon. A dialog will appear allowing you to select curves from the file system. Saved curves have the file extension adcicurve.
The following curve fitting methods can be selected through [Settings (menu bar) → Statistics Options → Curve Fitting Settings]:
The Maximum-Likelihood Method is recommended by IAEA and is the default curve fitting method. Note if the curve fitting method is changed, a new curve must be generated for the setting to take effect. Curves generated in the past will not be updated to the new method.
Calibration curves can plotted within the plot display section of the main GUI. All plots can be magnified to view specific intervals. Instructions on how to do this can be found on the plots information page of this wiki.
When generating a calibration curve plot, 95% confidence intervals (CI) may optionally be displayed. The following setting: [Settings (menu bar) → Statistics Options → Display calibration curve 95% CI], controls whether CIs appear when plotting calibration curves. Note this setting controls only whether confidence intervals are displayed. Another option within the same menu [Dose estimation calculates 95% CI due to the curve, if applicable] sets whether curve CI are taken into account during dose estimation.
Curve fitting stats can be found in the console when a curve is highlighted within the main GUI and are also present in calibration curve reports. These statistics can be used to evaluate curve “goodness of fit”. Available curve fitting statistics are:
Calibration curve degrees of freedom is: n - 3 where n is the number of calibration samples used the generate the curve.