Table 3.
Ranking | Dataset | Total collection + processing time (h) | Resolution (Å) | # particles (K) | Ice thickness range (nm) |
---|---|---|---|---|---|
1 | #3b | 11.9 | 2.8 | 87 | 10–20 |
2 | #1b | 15.5 | 2.8 | 62 | 10–20 |
3 | #1 | 20.9 | 2.5 | 219 | 10–20 |
4 | #1a | 21.0 | 2.5 | 124 | 10–20 |
5 | #3a | 47.6 | 2.4 | 186 | 10–20 |
6 | #3 | 48.9 | 2.4 | 205 | 10–20 |
7 | #2 | 59.1 | 3.0 | 204 | 100–250 |
8 | #2a | 53.2 | 3.5 | 22 | 100–250 |
9 | #2b | 25.4 | 4.6 | 75 | 100–250 |
Datasets were ranked primarily on total data collection + processing time and secondarily on nominal resolution. Six out of nine datasets went to <3 Å. We find that all <3 Å reconstructions come from datasets with 10–20 nm ice thickness and that more than half of those <3 Å datasets were acquired in under 24 h. Datasets that do not go <3 Å had ice thickness measurements ranging from 100–250 nm.