Fig. 4. Accuracy as a function of the number of cells counted.

a Plot of how the accuracy and AUC change as a function the number of cells (and the blood smear area) inspected by our method. b ROC curves for various simulated blood smear areas. These plots (except the 1.25 mm² one, which is our experimental result) are based on the average of 1000 Monte Carlo simulations performed by removing the red blood cells from the imaging fields-of-view at random to change the number of cells inspected by our method. As the cells are relatively monodisperse, this random removal of the cells simulates a reduction in the inspected blood smear area per patient. Error bars represent the standard deviation (s.d.) across the 1000 Monte Carlo simulations.