This is an old revision of the document!
This functionality will become available in version 1.4 of ADCI. Quality control (QC) metrics are applied to samples and aberrations. QC issues related to samples are visible in the sample list within the main GUI. Samples which do not meet quality control thresholds are marked with a orange or yellow background color in the sample's “Identity” field. Additional quality control issues related to aberrations are colored orange and are visible in the calibration curve and dose estimation dialogs.
Each threshold observed during quality control procedures can be modified in a dialog accessed by selecting “Settings” in the menu bar, then clicking “Quality Control Thresholds”.
QC issues related to sample image count can be found in the sample list within the main GUI. The “Fit a curve” and “Dose Calculator” dialogs take into account additional “Aberration” QC thresholds. Note manually entering an aberration in either of these dialogs will not generate a QC issue even if the manually entered values do not meet QC thresholds. For a QC issue to be reported, an aberration must be derived from an imported sample.
Hover the mouse pointer over the orange or yellow background color of any reported QC issue to display a tooltip reporting which QC threshold was not met. The QC threshold will be displayed alongside the observed value of the sample. If more than one QC threshold was not met, the first failed threshold will appear in the tooltip.
The “Identity” field in the sample list has a background color of orange when a sample does not meet the “Minimum total images” threshold. A background color of yellow is used when a sample does not meet the “Minimum selected images” threshold.
QC issues in the “Dose calculator” dialog take into account additional “Aberration” QC thresholds. Note a manually entered aberration will not generate a QC issue even if the manually entered value do not meet the specified QC thresholds. For a QC issue to be reported, the aberration must be related to an imported sample.