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. 2022 Jul 4;121(15):2906–2920. doi: 10.1016/j.bpj.2022.06.036

Table 1.

Summary of values obtained for several resolution measures for the data sets shown in figures

Data set LSF (from Δg(r,τ))
LSF (from segments)
FRC CRLB
NeNA
σxy(τframe) σxy σxy(τframe) σxy Peak Avg
Fig. 1 10.1 (0.2) 10.02 (0.08) 10.1 10.0 30 (1) N/A 10.0
Fig. 2 10.1 (0.1) 11.79 (0.07) 10.1 11.5 35 (1) N/A 10.0
Fig. 3 6.5 (0.1) 7.48 (0.07) 6.4 8.1 20 (1) 6.3 9.0 6.7
Fig. 4 6.78 (0.02) 8.8 (0.2) 6.8 9.7 27 (1) 6.8 7.8 6.8
Fig. 5 8.3 (0.3) 10.9 (0.8) N/A
N/A
N/A
N/A
35 (1) 5.6 9.5 7.8
Fig. 6 10.1 (0.1) 11.6 (0.3) 48 (2) 10.9 14.1 9.3
Fig. 7 8.1 (0.1) 11.8 (1.5) 285 (6) N/A 7.5
Fig. 8 11.0 (0.1) 13.7 (0.2) 59 (6) 9.9 14.2 9.9

All units are nm and errors, when evaluated, are included in parenthesis. LSF widths are estimated from Δg(r,τ) and by associating localizations with molecules (from segments, not possible for cellular images). σxy(τframe) is the LSF width for τ close to the frame time (τframe) and σxy is the LSF widths averaged over all τ. FRC are values obtained using the FRC. Full FRC curves are included in Fig. S8. CRLB values describe features of the distribution of Cramer-Rao lower bounds returned by the fitting procedure for data sets processed without background subtraction. Full distributions and σxy(τ) estimated from these differently processed images are included in Fig. S9. NeNA are obtained by fitting nearest neighbor distributions from localizations in adjacent frames. Distributions and fits are included in Fig. S9.