Figure 4

Methods and tools for conducting single cell classification with DHC. Step 1 is recommended for validating and optimizing a DHM platform prior to classification. Of importance is determining the expected rate of high BgSD images and changes of this rate over time. Step 2 is used to train a classifier to determine expected optimal accuracy. Static or kinetic experiments are then conducted with these parameters, known accuracies and known limitations. Italicized text describes methods developed here or code available upon request.