Skip to main content
Fig. 9 | BMC Bioinformatics

Fig. 9

From: Applications of machine learning for simulations of red blood cells in microfluidic devices

Fig. 9

Prediction error is calculated as the distance of RBC centers for all simulated cells from A50b and centers predicted by a system of bases trained on A50a. For the first 1000 iterations, the average error is less than 2.3 μm, corresponding to about 2% of the channel length and 1/3 of the RBC diameter. In the first 2000 iterations, the average error does not exceed 3% of the channel length and half of the RBC size. The highest average error is at the order of the cell size

Back to article page