@article {Obr2022.01.10.475481, author = {Martin Obr and Wim JH Hagen and Robert A Dick and Lingbo Yu and Abhay Kotecha and Florian KM Schur}, title = {Exploring high-resolution cryo-ET and subtomogram averaging capabilities of contemporary DEDs}, elocation-id = {2022.01.10.475481}, year = {2022}, doi = {10.1101/2022.01.10.475481}, publisher = {Cold Spring Harbor Laboratory}, abstract = {The potential of energy filtering and direct electron detection for cryo-electron microscopy (cryo-EM) image processing has been well documented for single particle analysis (SPA). Here, we assess the performance of recently introduced hardware for cryo-electron tomography (cryo-ET) and subtomogram averaging (STA), an increasingly popular structural determination method for complex 3D specimens. We acquired cryo-ET datasets of EIAV virus-like particles (VLPs) on two contemporary cryo-EM systems equipped with different energy filters and direct electron detectors (DED), specifically a Krios G4, equipped with a cold field emission gun (CFEG), Thermo Fisher Scientific Selectris X energy filter, and a Falcon 4 DED; and a Krios G3i, with a Schottky field emission gun (XFEG), a Gatan Bioquantum energy filter, and a K3 DED. We performed constrained cross-correlation-based STA on equally sized datasets acquired on the respective systems. The resulting EIAV CA hexamer reconstructions show that both systems perform comparably in the 4-6 {\r A} resolution range. In addition, by employing a recently introduced multiparticle refinement approach, we obtained a reconstruction of the EIAV CA hexamer at 2.9 {\r A}. Our results demonstrate the potential of the new generation of energy filters and DEDs for STA, and the effects of using different processing pipelines on their STA outcomes.Competing Interest StatementAbhay Kotecha and Lingbo Yu are employees of Thermo Fisher Scientific. The other authors declare no competing interests}, URL = {https://www.biorxiv.org/content/early/2022/01/11/2022.01.10.475481}, eprint = {https://www.biorxiv.org/content/early/2022/01/11/2022.01.10.475481.full.pdf}, journal = {bioRxiv} }