Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes

Show simple item record Huiskonen, Juha T. 2018-05-17T09:23:01Z 2018-05-17T09:23:01Z 2018-04-27
dc.identifier.citation Huiskonen , J T 2018 , ' Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes ' , Bioscience Reports , vol. 38 , no. 2 , 20170203 .
dc.identifier.other PURE: 106956225
dc.identifier.other PURE UUID: ed1cf070-d905-4514-b160-983f32568697
dc.identifier.other WOS: 000431504200001
dc.identifier.other Scopus: 85044213552
dc.description.abstract Cryogenic transmission electron microscopy (cryo-TEM) is a high-resolution biological imaging method, whereby biological samples, such as purified proteins, macromolecular complexes, viral particles, organelles and cells, are embedded in vitreous ice preserving their native structures. Due to sensitivity of biological materials to the electron beam of the microscope, only relatively low electron doses can be applied during imaging. As a result, the signal arising from the structure of interest is overpowered by noise in the images. To increase the signal-to-noise ratio, different image processing-based strategies that aim at coherent averaging of signal have been devised. In such strategies, images are generally assumed to arise from multiple identical copies of the structure. Prior to averaging, the images must be grouped according to the view of the structure they represent and images representing the same view must be simultaneously aligned relatively to each other. For computational reconstruction of the 3D structure, images must contain different views of the original structure. Structures with multiple symmetry-related substructures are advantageous in averaging approaches because each image provides multiple views of the substructures. However, the symmetry assumption may be valid for only parts of the structure, leading to incoherent averaging of the other parts. Several image processing approaches have been adapted to tackle symmetry-mismatched substructures with increasing success. Such structures are ubiquitous in nature and further computational method development is needed to understanding their biological functions. en
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof Bioscience Reports
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject DSRNA VIRUS
dc.subject IN-SITU
dc.subject PARTICLE
dc.subject REVEALS
dc.subject GENOME
dc.subject 1182 Biochemistry, cell and molecular biology
dc.title Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes en
dc.type Review Article
dc.contributor.organization Laboratory of Structural Biology
dc.contributor.organization Helsinki Institute of Life Science HiLIFE
dc.contributor.organization Molecular and Integrative Biosciences Research Programme
dc.description.reviewstatus Peer reviewed
dc.relation.issn 0144-8463
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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