<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>5(1)</volume><submitter>Zhu D</submitter><pubmed_abstract>Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the accelerate voltage has been suggested to enhance the signal-to-noise ratio (SNR) of cryo-electron microscopy (cryo-EM) images of small-molecular-weight proteins (&lt;100 kD). However, the detection efficient of current Direct Detection Devices (DDDs) and temporal coherence of cryo-EM decrease at lower voltage, leading to loss of SNR. Here, we present an electron counting algorithm to improve the detection of low-energy electrons. The counting algorithm increased the SNR of 120-kV and 200-kV cryo-EM image from a Falcon III camera by 8%, 20% at half the Nyquist frequency and 21%, 80% at Nyquist frequency, respectively, resulting in a considerable improvemen</pubmed_abstract><journal>Communications biology</journal><pagination>321</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8987035</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope.</pubmed_title><pmcid>PMC8987035</pmcid><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Wu C</pubmed_authors><pubmed_authors>Zhu D</pubmed_authors><pubmed_authors>Shi H</pubmed_authors></additional><is_claimable>false</is_claimable><name>An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope.</name><description>Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the accelerate voltage has been suggested to enhance the signal-to-noise ratio (SNR) of cryo-electron microscopy (cryo-EM) images of small-molecular-weight proteins (&lt;100 kD). However, the detection efficient of current Direct Detection Devices (DDDs) and temporal coherence of cryo-EM decrease at lower voltage, leading to loss of SNR. Here, we present an electron counting algorithm to improve the detection of low-energy electrons. The counting algorithm increased the SNR of 120-kV and 200-kV cryo-EM image from a Falcon III camera by 8%, 20% at half the Nyquist frequency and 21%, 80% at Nyquist frequency, respectively, resulting in a considerable improvemen</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-21T16:50:57.665Z</modification><creation>2025-04-21T16:50:57.665Z</creation></dates><accession>S-EPMC8987035</accession><cross_references><pubmed>35388174</pubmed><doi>10.1038/s42003-022-03284-1</doi></cross_references></HashMap>