@inproceedings{ce9ee91d20ad4bdd973712a0ede577bb,
title = "A fully automatic geometric parameters determining method for electron tomography",
abstract = "Electron tomography (ET) is a promising technique for investigating in situ three-dimensional (3D) structure of proteins and protein complexes. To obtain a high-resolution 3D ET reconstruction, alignment and geometric parameters determination of ET tilt series are necessary. However, the common geometric parameters determining methods depend on human intervention, which are not only fairly subjective and easily introduce errors but also labor intensive for high-throughput tomographic reconstructions. To overcome these problems, in this paper, we presented a fully automatic geometric parameters determining method. Taking advantage of the high-contrast reprojections of ICON and a series of image processing and edge recognition techniques, our method achieves a high-precision full automation for geometric parameters determining. Experimental results on the resin embedded dataset show that our method has a high accuracy comparable to the common {\textquoteleft}manual positioning{\textquoteright} method.",
keywords = "Comparable accuracy, Electron tomography, Full automation, Geometric parameters determination, Human intervention",
author = "Yu Chen and Zihao Wang and Lun Li and Xiaohua Wan and Fei Sun and Fa Zhang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017 ; Conference date: 29-05-2017 Through 02-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59575-7_39",
language = "English",
isbn = "9783319595740",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "385--389",
editor = "Zhipeng Cai and Ovidiu Daescu and Min Li",
booktitle = "Bioinformatics Research and Applications - 13th International Symposium, ISBRA 2017, Proceedings",
address = "Germany",
}