Table 1.

Nominal (nom) and measured (nes) properties of various GNP samples

Manufacturer	${\overline{d}}_{\mathrm{nom}}$	Δdnom	${\sigma }_{\mathrm{d}}^{\left(\mathrm{n}\mathrm{o}\mathrm{m}\right)}$	${\overline{d}}_{\mathrm{mes}}$	Δdmes	${\sigma }_{\mathrm{d}}^{\left(\mathrm{m}\mathrm{e}\mathrm{s}\right)}$	lH	ΔlH	Number of trajectories	Number of localizations (×106)
BBI	10	1	≤1	14.2	0.3	4.7	2.1	0.6	819	0.04
BBI	14.9	−	≤1.5	17.4	0.1	2.9	1.3	0.0	11,341	1.28
BBI	20.1	−	≤1.6	22.1	0.1	2.5	1.0	0.0	6,635	1.35
BBI	30.2	−	≤2.4	33.2	0.1	2.6	1.6	0.1	1,535	0.83
BBI	40.4	−	≤3.2	45.0	0.2	5.0	2.3	0.1	2,943	1.24
BBI	60.5	−	≤4.8	63.9	0.2	5.1	1.7	0.1	2,401	1.48
BBI	79.8	−	≤6.4	85.9	0.4	6.6	3.2	0.2	1,234	1.15
SA	104	6	≤8	109.3	0.9	9.8	2.7	3.0	712	0.97

All quantities are in units of nanometers. See text for the definitions of $\overline{d}$ and σ_d. Δd is computed as the 95% confidence interval of the mean by multiplying the standard error of the fit by 1.96 (ref. ²⁸). ${\sigma }_{\mathrm{d}}^{\left(\mathrm{n}\mathrm{o}\mathrm{m}\right)}$ is calculated from the manufacturer (BBI Solutions, Sigma-Aldrich) specified coefficient of variation. l_H represents the thickness of the hydration layer determined as $\left({\overline{d}}_{\mathrm{mes}}-{\overline{d}}_{\mathrm{nom}}\right)/2$. Δl_H is the error on the hydration layer thickness calculated as $\sqrt{\mathrm{\Delta }{d}_{\mathrm{nom}}^2+\mathrm{\Delta }{d}_{\mathrm{mes}}^2}/2$. The number of extracted trajectories as well as the total number of localizations (in millions) are indicated.