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High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines
dc.contributor.authorLi, Y
dc.contributor.authorCash, JN
dc.contributor.authorTesmer, JJG
dc.contributor.authorCianfrocco, MA
dc.coverage.spatialUnited States
dc.date.accessioned2023-05-31T12:37:25Z
dc.date.available2023-05-31T12:37:25Z
dc.date.issued2020-07-07
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pubmed/32294468
dc.identifier.urihttps://hdl.handle.net/2027.42/176785en
dc.description.abstractLi et al. develop an automatic preprocessing workflow for single-particle cryo-EM. This workflow produces high-resolution particle stacks from micrograph inputs without subjective decision making. They used this workflow to automatically preprocess and analyze six challenging datasets, demonstrating that the workflow correctly identified the high-resolution dataset amid five bad datasets.
dc.languageeng
dc.subjectautomatic
dc.subjectcryo-EM
dc.subjectdeep learning;
dc.subjectpipeline
dc.subjectCryoelectron Microscopy
dc.subjectDeep Learning
dc.subjectHigh-Throughput Screening Assays
dc.subjectImage Processing, Computer-Assisted
dc.subjectProtein Conformation
dc.titleHigh-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines
dc.typePresentation
dc.identifier.pmid32294468
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176785/2/High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines.pdf
dc.identifier.doi10.1016/j.str.2020.03.008
dc.identifier.doihttps://dx.doi.org/10.7302/7634
dc.date.updated2023-05-31T12:37:21Z
dc.identifier.orcid0000-0002-2067-4999
dc.description.filedescriptionDescription of High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines.pdf : Published version
dc.identifier.name-orcidLi, Y
dc.identifier.name-orcidCash, JN
dc.identifier.name-orcidTesmer, JJG
dc.identifier.name-orcidCianfrocco, MA; 0000-0002-2067-4999
dc.owningcollnameBiological Chemistry, Department of


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