<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Parkhurst JM</submitter><funding>Engineering and Physical Sciences Research Council</funding><pagination>210160</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8548082</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(10)</volume><pubmed_abstract>In cryo-electron tomography (cryo-ET) of biological samples, the quality of tomographic reconstructions can vary depending on the transmission electron microscope (TEM) instrument and data acquisition parameters. In this paper, we present Parakeet, a 'digital twin' software pipeline for the assessment of the impact of various TEM experiment parameters on the quality of three-dimensional tomographic reconstructions. The Parakeet digital twin is a digital model that can be used to optimize the performance and utilization of a physical instrument to enable &lt;i>in silico&lt;/i> optimization of sample geometries, data acquisition schemes and instrument parameters. The digital twin performs virtual sample generation, TEM image simulation, and tilt series reconstruction and analysis within a convenie</pubmed_abstract><journal>Open biology</journal><pubmed_title>Parakeet: a digital twin software pipeline to assess the impact of experimental parameters on tomographic reconstructions for cryo-electron tomography.</pubmed_title><pmcid>PMC8548082</pmcid><funding_grant_id>EP/S025243/1</funding_grant_id><pubmed_authors>Varslot T</pubmed_authors><pubmed_authors>Naismith JH</pubmed_authors><pubmed_authors>Basham M</pubmed_authors><pubmed_authors>Siebert CA</pubmed_authors><pubmed_authors>Clare D</pubmed_authors><pubmed_authors>Parkhurst JM</pubmed_authors><pubmed_authors>Evans G</pubmed_authors><pubmed_authors>Dumoux M</pubmed_authors><pubmed_authors>Kirkland A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Parakeet: a digital twin software pipeline to assess the impact of experimental parameters on tomographic reconstructions for cryo-electron tomography.</name><description>In cryo-electron tomography (cryo-ET) of biological samples, the quality of tomographic reconstructions can vary depending on the transmission electron microscope (TEM) instrument and data acquisition parameters. In this paper, we present Parakeet, a 'digital twin' software pipeline for the assessment of the impact of various TEM experiment parameters on the quality of three-dimensional tomographic reconstructions. The Parakeet digital twin is a digital model that can be used to optimize the performance and utilization of a physical instrument to enable &lt;i>in silico&lt;/i> optimization of sample geometries, data acquisition schemes and instrument parameters. The digital twin performs virtual sample generation, TEM image simulation, and tilt series reconstruction and analysis within a convenie</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-05-29T22:01:38.186Z</modification><creation>2024-11-09T08:21:49.789Z</creation></dates><accession>S-EPMC8548082</accession><cross_references><pubmed>34699732</pubmed><doi>10.1098/rsob.210160</doi></cross_references></HashMap>