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High-confidence 3D template matching for cryo-electron tomography
by
Majtner, Tomáš
, Hoffmann, Patrick C.
, Hummer, Gerhard
, Tuijtel, Maarten W.
, Schaefer, Stefan L.
, Kreysing, Jan Philipp
, Geißler, Katharina
, Turoňová, Beata
, Cruz-León, Sergio
, Kehl, Sebastian
, Beck, Martin
in
14/28
/ 631/535/1258/1260
/ 631/57/2266
/ Algorithms
/ Annotations
/ Automation
/ Cryoelectron Microscopy - methods
/ Electron Microscope Tomography - methods
/ Fatty Acid Synthases - metabolism
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Imaging, Three-Dimensional - methods
/ Lipid membranes
/ Lipids
/ Machine Learning
/ Macromolecules
/ Microtubules
/ Microtubules - metabolism
/ Microtubules - ultrastructure
/ Molecular interactions
/ multidisciplinary
/ Noise levels
/ Nuclear Pore - metabolism
/ Nuclear Pore - ultrastructure
/ Nuclear pores
/ Parameter identification
/ Proteasome Endopeptidase Complex - chemistry
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasome Endopeptidase Complex - ultrastructure
/ Proteasomes
/ Proteomics
/ Proteomics - methods
/ Ribosomes
/ Ribosomes - metabolism
/ Ribosomes - ultrastructure
/ Science
/ Science (multidisciplinary)
/ Software
/ Template matching
2024
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High-confidence 3D template matching for cryo-electron tomography
by
Majtner, Tomáš
, Hoffmann, Patrick C.
, Hummer, Gerhard
, Tuijtel, Maarten W.
, Schaefer, Stefan L.
, Kreysing, Jan Philipp
, Geißler, Katharina
, Turoňová, Beata
, Cruz-León, Sergio
, Kehl, Sebastian
, Beck, Martin
in
14/28
/ 631/535/1258/1260
/ 631/57/2266
/ Algorithms
/ Annotations
/ Automation
/ Cryoelectron Microscopy - methods
/ Electron Microscope Tomography - methods
/ Fatty Acid Synthases - metabolism
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Imaging, Three-Dimensional - methods
/ Lipid membranes
/ Lipids
/ Machine Learning
/ Macromolecules
/ Microtubules
/ Microtubules - metabolism
/ Microtubules - ultrastructure
/ Molecular interactions
/ multidisciplinary
/ Noise levels
/ Nuclear Pore - metabolism
/ Nuclear Pore - ultrastructure
/ Nuclear pores
/ Parameter identification
/ Proteasome Endopeptidase Complex - chemistry
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasome Endopeptidase Complex - ultrastructure
/ Proteasomes
/ Proteomics
/ Proteomics - methods
/ Ribosomes
/ Ribosomes - metabolism
/ Ribosomes - ultrastructure
/ Science
/ Science (multidisciplinary)
/ Software
/ Template matching
2024
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High-confidence 3D template matching for cryo-electron tomography
by
Majtner, Tomáš
, Hoffmann, Patrick C.
, Hummer, Gerhard
, Tuijtel, Maarten W.
, Schaefer, Stefan L.
, Kreysing, Jan Philipp
, Geißler, Katharina
, Turoňová, Beata
, Cruz-León, Sergio
, Kehl, Sebastian
, Beck, Martin
in
14/28
/ 631/535/1258/1260
/ 631/57/2266
/ Algorithms
/ Annotations
/ Automation
/ Cryoelectron Microscopy - methods
/ Electron Microscope Tomography - methods
/ Fatty Acid Synthases - metabolism
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Imaging, Three-Dimensional - methods
/ Lipid membranes
/ Lipids
/ Machine Learning
/ Macromolecules
/ Microtubules
/ Microtubules - metabolism
/ Microtubules - ultrastructure
/ Molecular interactions
/ multidisciplinary
/ Noise levels
/ Nuclear Pore - metabolism
/ Nuclear Pore - ultrastructure
/ Nuclear pores
/ Parameter identification
/ Proteasome Endopeptidase Complex - chemistry
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasome Endopeptidase Complex - ultrastructure
/ Proteasomes
/ Proteomics
/ Proteomics - methods
/ Ribosomes
/ Ribosomes - metabolism
/ Ribosomes - ultrastructure
/ Science
/ Science (multidisciplinary)
/ Software
/ Template matching
2024
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High-confidence 3D template matching for cryo-electron tomography
Journal Article
High-confidence 3D template matching for cryo-electron tomography
2024
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Overview
Visual proteomics attempts to build atlases of the molecular content of cells but the automated annotation of cryo electron tomograms remains challenging. Template matching (TM) and methods based on machine learning detect structural signatures of macromolecules. However, their applicability remains limited in terms of both the abundance and size of the molecular targets. Here we show that the performance of TM is greatly improved by using template-specific search parameter optimization and by including higher-resolution information. We establish a TM pipeline with systematically tuned parameters for the automated, objective and comprehensive identification of structures with confidence 10 to 100-fold above the noise level. We demonstrate high-fidelity and high-confidence localizations of nuclear pore complexes, vaults, ribosomes, proteasomes, fatty acid synthases, lipid membranes and microtubules, and individual subunits inside crowded eukaryotic cells. We provide software tools for the generic implementation of our method that is broadly applicable towards realizing visual proteomics.
Enabling visual proteomics with high-confidence 3D template matching (TM) in CryoET. 3D TM precisely localizes macromolecular complexes, individual subunits, and different functional states in situ, revealing molecular interactions within cells.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ Cryoelectron Microscopy - methods
/ Electron Microscope Tomography - methods
/ Fatty Acid Synthases - metabolism
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Imaging, Three-Dimensional - methods
/ Lipids
/ Microtubules - ultrastructure
/ Nuclear Pore - ultrastructure
/ Proteasome Endopeptidase Complex - chemistry
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasome Endopeptidase Complex - ultrastructure
/ Science
/ Software
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