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  Hierarchical detection and analysis of macromolecular complexes in cryo-electron tomograms using Pyto software

Lucic, V., Fernandez-Busnadiego, R., Laugks, U., & Baumeister, W. (2016). Hierarchical detection and analysis of macromolecular complexes in cryo-electron tomograms using Pyto software. Journal of Structural Biology, 196(3), 503-514. doi:10.1016/j.jsb.2016.10.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-5D45-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-5D46-E
Genre: Journal Article

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 Creators:
Lucic, Vladan1, Author              
Fernandez-Busnadiego, Ruben1, Author              
Laugks, Ulrike1, Author              
Baumeister, Wolfgang1, Author              
Affiliations:
1Baumeister, Wolfgang / Molecular Structural Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565142              

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Free keywords: ELECTRON TOMOGRAPHY; NOISE-REDUCTION; SYNAPTIC CLEFT; IMAGE-ANALYSIS; SEGMENTATION; RECONSTRUCTIONS; CLUSTERINGS; MICROSCOPY; DIFFUSION; RELEASEBiochemistry & Molecular Biology; Biophysics; Cell Biology; Electron tomography; Image processing; Cryo; Segmentation; Synapses;
 Abstract: Molecular complexes, arguably the basic units carrying cellular function, can be visualized directly in their native environment by cryo-electron tomography. Here we describe a procedure for the detection of small, pleomorphic membrane-bound molecular complexes in cryo-tomograms by a hierarchical connectivity segmentation. Validation on phantom and real data showed above 90% true positive rates. This segmentation procedure is implemented in the Pyto software package, together with methods for quantitative characterization and classification of complexes detected by our segmentation procedure and for statistical analysis between experimental conditions. Therefore, the methods presented provide a means for the detection and quantitative interpretation of structures captured in cryo-electron tomograms, as well as for the elucidation of their cellular function. (C) 2016 Published by Elsevier Inc.

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Language(s): eng - English
 Dates: 2016-10-112016-12
 Publication Status: Published in print
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: ISI: 000389295000023
DOI: 10.1016/j.jsb.2016.10.004
 Degree: -

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Title: Journal of Structural Biology
  Abbreviation : J. Struct. Biol.
Source Genre: Journal
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Publ. Info: Orlando, Fla. : Academic Press
Pages: - Volume / Issue: 196 (3) Sequence Number: - Start / End Page: 503 - 514 Identifier: ISSN: 1047-8477
CoNE: /journals/resource/954922650160