TxBR montage reconstruction for large field electron tomography

Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the molecular level. Large-field high-resolution views of biological specimens span more than four orders of magnitude in spatial scale, and, as a conse...

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Published in:Journal of structural biology Vol. 180; no. 1; pp. 154 - 164
Main Authors: Phan, Sébastien, Lawrence, Albert, Molina, Tomas, Lanman, Jason, Berlanga, Monica, Terada, Masako, Kulungowski, Alexander, Obayashi, James, Ellisman, Mark
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-10-2012
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Abstract Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the molecular level. Large-field high-resolution views of biological specimens span more than four orders of magnitude in spatial scale, and, as a consequence, are rather difficult to generate directly. Various techniques have been developed towards generating those views, from increasing the sensor array size to implementing serial sectioning and montaging. Datasets and reconstructions obtained by the latter techniques generate multiple three-dimensional (3D) reconstructions, that need to be combined together to provide all the multiscale information. In this work, we show how to implement montages within TxBR, a tomographic reconstruction software package. This work involves some new application of mathematical concepts related to volume preserving transformations and issues of gauge ambiguity, which are essential problems arising from the nature of the observation in an electron microscope. The purpose of TxBR is to handle those issues as generally as possible in order to correct for most distortions in the 3D reconstructions and allow for a seamless recombination of ET montages.
AbstractList Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the molecular level. Large-field high-resolution views of biological specimens span more than four orders of magnitude in spatial scale, and, as a consequence, are rather difficult to generate directly. Various techniques have been developed towards generating those views, from increasing the sensor array size to implementing serial sectioning and montaging. Datasets and reconstructions obtained by the latter techniques generate multiple three-dimensional (3D) reconstructions, that need to be combined together to provide all the multiscale information. In this work, we show how to implement montages within TxBR, a tomographic reconstruction software package. This work involves some new application of mathematical concepts related to volume preserving transformations and issues of gauge ambiguity, which are essential problems arising from the nature of the observation in an electron microscope. The purpose of TxBR is to handle those issues as generally as possible in order to correct for most distortions in the 3D reconstructions and allow for a seamless recombination of ET montages.
Author Terada, Masako
Phan, Sébastien
Lawrence, Albert
Berlanga, Monica
Kulungowski, Alexander
Ellisman, Mark
Obayashi, James
Lanman, Jason
Molina, Tomas
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  email: mark@ncmir.ucsd.edu
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Keywords Electron tomography
Montaging
3D reconstruction
TxBR
Whole cell tomography
Section flattening
Language English
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Snippet Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the...
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StartPage 154
SubjectTerms 3D reconstruction
Algorithms
Animals
Brain - cytology
Drosophila - cytology
Drosophila - virology
Electron Microscope Tomography - methods
Electron tomography
Imaging, Three-Dimensional - methods
Insect Viruses - physiology
Mice
Montaging
Neurons - ultrastructure
Section flattening
Software
TxBR
Whole cell tomography
Title TxBR montage reconstruction for large field electron tomography
URI https://dx.doi.org/10.1016/j.jsb.2012.06.006
https://www.ncbi.nlm.nih.gov/pubmed/22749959
https://search.proquest.com/docview/1095455736
Volume 180
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