Figure 3.

Comparison of the averaged percent errors in identifying diffusion coefficients (a) and transition probabilities (b) of systems with varying separations $\left(\Delta D\right)$ between the diffusion coefficients of the two states using SPICER, 1d, or 3d analysis. The larger D is fixed at 1 μm²/s, with the smaller D varying between 0.8 and 0.2 μm²/s. The average percent error is calculated as $\left(\left(\left|D_1-D_1^{\text{true}}\right|/D_1^{\text{true}}\right)+\left(\left|D_2-D_2^{\text{true}}\right|/D_2^{\text{true}}\right)\right)\times 50$ or $\left(\left(\left|P_{12}-P_{12}^{\text{true}}\right|/P_{12}^{\text{true}}\right)+\left(\left|P_{21}-P_{21}^{\text{true}}\right|/P_{21}^{\text{true}}\right)\right)\times 50.$ The shaded region indicates the uncertainty in the parameter and is defined as the standard deviation of the parameter during the Markov chain Monte Carlo approach.