Characterizing the resolution and throughput of the Apollo direct electron detector.
Characterizing the resolution and throughput of the Apollo direct electron detector.
复制标题
表征 Apollo 直接电子探测器的分辨率和吞吐量。
DOI:
10.1016/j.yjsbx.2022.100080
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发表时间:
2023
影响因子:
2.9
通讯作者:
Stagg, Scott M.
中科院分区:
文献类型:
--
作者:
Peng, Ruizhi;Fu, Xiaofeng;Mendez, Joshua H.;Randolph, Peter S.;Bammes, Benjamin E.;Stagg, Scott M.
A new high-resolution direct electron detection camera, the Apollo, is characterized. The Apollo uses on-the-fly counting to increase data acquisition throughput for cryo-EM. The Apollo can produce better than 1.9 Å resolution reconstructions at dose rates up to 60 eps. Advances in electron detection have been essential to the success of high-resolution cryo-EM structure determination. A new generation of direct electron detector called the Apollo, has been developed by Direct Electron. The Apollo uses a novel event-based MAPS detector custom designed for ultra-fast electron counting. We have evaluated this new camera, finding that it delivers high detective quantum efficiency (DQE) and low coincidence loss, enabling high-quality electron counting data acquisition at up to nearly 80 input electrons per pixel per second. We further characterized the performance of Apollo for single particle cryo-EM on real biological samples. Using mouse apoferritin, Apollo yielded better than 1.9 Å resolution reconstructions at all three tested dose rates from a half-day data collection session each. With longer collection time and improved specimen preparation, mouse apoferritin was reconstructed to 1.66 Å resolution. Applied to a more challenging small protein aldolase, we obtained a 2.24 Å resolution reconstruction. The high quality of the map indicates that the Apollo has sufficiently high DQE to reconstruct smaller proteins and complexes with high-fidelity. Our results demonstrate that the Apollo camera performs well across a broad range of dose rates and is capable of capturing high quality data that produce high-resolution reconstructions for large and small single particle samples.
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影响因子:
3.9
作者:
Cash JN;Kearns S;Li Y;Cianfrocco MA
通讯作者:
Cianfrocco MA
影响因子:
64.8
作者:
Nakane T;Kotecha A;Sente A;McMullan G;Masiulis S;Brown PMGE;Grigoras IT;Malinauskaite L;Malinauskas T;Miehling J;Uchański T;Yu L;Karia D;Pechnikova EV;de Jong E;Keizer J;Bischoff M;McCormack J;Tiemeijer P;Hardwick SW;Chirgadze DY;Murshudov G;Aricescu AR;Scheres SHW
通讯作者:
Scheres SHW
影响因子:
2.2
作者:
McMullan, G.;Chen, S.;Henderson, R.;Faruqi, A. R.
通讯作者:
Faruqi, A. R.
影响因子:
3
作者:
Glaeser RM;Typke D;Tiemeijer PC;Pulokas J;Cheng A
通讯作者:
Cheng A
DOI:
10.1107/s2059798319011471
发表时间:
2019-10-01
影响因子:
2.2
作者:
Liebschner, Dorothee;Afonine, Pavel V.;Adams, Paul D.
通讯作者:
Adams, Paul D.