English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Files

show Files

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 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              

Content

show
hide
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.

Details

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

Event

show

Legal Case

show

Project information

show

Source 1

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