Figure 2.

(a and b) Construction of a lookup table for finding the optimal R-value in a 3d tracking system. (a) Approximation percentage $\left(D_{\text{app}}\text{/}{D}_{\text{true}}\right)$ of five simulated systems at different R-values, with $D_{\text{true}}$ varying from 0.4 to 4 μm²/s. (b) Optimal R-values at different diffusion coefficients are identified from (a) as the R-value at which the maximal $D_{\text{app}}/D_{\text{true}}$ is reached. (c and d) Comparison of the performance of SPICER and conventional 1d and 3d analyses in identifying the diffusion coefficients (c) and transition probabilities (d) in a two-state system with $D_1=1$μm²/s, $D_2=0.7$μm²/s, and $P_{12}=P_{21}=0.0244.$ The percentage error is defined as $\left(\left(\left|X-X_{\text{true}}\right|\right)/X_{\text{true}}\right)\times 100.$