Table 2.

Power-Law Indices of CD93 MSDs, Ensemble-Averaged MSDs, and Ensemble-Averaged and Time-Averaged MSDs

Ensemble	$\langle {\mathit{r}}^2\left(\mathit{t}\right)\rangle \propto {\mathit{t}}^{\mathit{\alpha }}$	$\langle \overline{{\mathit{\delta }}^2\left(\mathit{\tau },\mathit{T}\right)}\rangle \propto {\mathit{\tau }}^{{\mathit{\alpha }}_{\mathit{\tau }}\left(\mathit{T}\right)}$	$\langle \overline{{\mathit{\delta }}^2\left(\mathit{\tau },\mathit{T}\right)}\rangle \propto {\mathit{T}}^{{\mathit{\alpha }}_{\mathit{T}}}$
	α, t ≥ 3 s	ατ, Τ ≥ 2 s	αΤ, τ = 0.1 s
Free	0.46 ± 0.02	0.95 ± 0.01	-0.458 ± 0.005
100 nm	0.01 ± 0.01	0.35 ± 0.01	-0.297 ± 0.002
200 nm	0.03 ± 0.02	0.27 ± 0.01	-0.283 ± 0.002

SPT/MSS analysis (39) was used to generate CD93-GFP ensembles for freely diffusing molecules and molecules in 100 or 200 nm confinement zones, and the dependence of EA-MSD on t, EA-TAMSD on τ, and EA-TAMSD on T was calculated.