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TxBR montage reconstruction for large field electron tomography

Authors :
Jason Lanman
James T. Obayashi
Alexander Kulungowski
Monica L. Berlanga
Sebastien Phan
Tomas Molina
Mark H. Ellisman
Albert F. Lawrence
Masako Terada
Source :
Journal of Structural Biology. 180:154-164
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

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.

Details

ISSN :
10478477
Volume :
180
Database :
OpenAIRE
Journal :
Journal of Structural Biology
Accession number :
edsair.doi.dedup.....4c944bdd4e7d500c92d3b8a2bb58272e
Full Text :
https://doi.org/10.1016/j.jsb.2012.06.006