TxBR montage reconstruction for large field electron tomography

详细信息    查看全文

• 作者：S¨¦bastien Phan ; Albert Lawrence ; Tomas Molina ; Jason Lanman ; Monica Berlanga ; Masako Terada ; Alex ; er Kulungowski ; James Obayashi ; Mark Ellisman
• 关键词：Electron tomography ; 3D reconstruction ; TxBR ; Whole cell tomography ; Montaging ; Section flattening
• 刊名：Journal of Structural Biology
• 出版年：2012
• 出版时间：October, 2012
• 年：2012
• 卷：180
• 期：1
• 页码：154-164
• 全文大小：1176 K

文摘

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.