Literature DB >> 26555323

Compressed sensing electron tomography of needle-shaped biological specimens--Potential for improved reconstruction fidelity with reduced dose.

Zineb Saghi1, Giorgio Divitini2, Benjamin Winter3, Rowan Leary2, Erdmann Spiecker3, Caterina Ducati2, Paul A Midgley4.   

Abstract

Electron tomography is an invaluable method for 3D cellular imaging. The technique is, however, limited by the specimen geometry, with a loss of resolution due to a restricted tilt range, an increase in specimen thickness with tilt, and a resultant need for subjective and time-consuming manual segmentation. Here we show that 3D reconstructions of needle-shaped biological samples exhibit isotropic resolution, facilitating improved automated segmentation and feature detection. By using scanning transmission electron tomography, with small probe convergence angles, high spatial resolution is maintained over large depths of field and across the tilt range. Moreover, the application of compressed sensing methods to the needle data demonstrates how high fidelity reconstructions may be achieved with far fewer images (and thus greatly reduced dose) than needed by conventional methods. These findings open the door to high fidelity electron tomography over critically relevant length-scales, filling an important gap between existing 3D cellular imaging techniques.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Compressed sensing; Electron tomography; Isotropic resolution; Life science

Mesh:

Year:  2015        PMID: 26555323     DOI: 10.1016/j.ultramic.2015.10.021

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  9 in total

1.  Comparison of 3D cellular imaging techniques based on scanned electron probes: Serial block face SEM vs. Axial bright-field STEM tomography.

Authors:  E L McBride; A Rao; G Zhang; J D Hoyne; G N Calco; B C Kuo; Q He; A A Prince; I D Pokrovskaya; B Storrie; A A Sousa; M A Aronova; R D Leapman
Journal:  J Struct Biol       Date:  2018-02-01       Impact factor: 2.867

2.  Electron tomography imaging methods with diffraction contrast for materials research.

Authors:  Satoshi Hata; Hiromitsu Furukawa; Takashi Gondo; Daisuke Hirakami; Noritaka Horii; Ken-Ichi Ikeda; Katsumi Kawamoto; Kosuke Kimura; Syo Matsumura; Masatoshi Mitsuhara; Hiroya Miyazaki; Shinsuke Miyazaki; Mitsu Mitsuhiro Murayama; Hideharu Nakashima; Hikaru Saito; Masashi Sakamoto; Shigeto Yamasaki
Journal:  Microscopy (Oxf)       Date:  2020-05-21       Impact factor: 1.571

3.  Biological application of Compressed Sensing Tomography in the Scanning Electron Microscope.

Authors:  Matteo Ferroni; Alberto Signoroni; Andrea Sanzogni; Luca Masini; Andrea Migliori; Luca Ortolani; Alessandro Pezza; Vittorio Morandi
Journal:  Sci Rep       Date:  2016-09-20       Impact factor: 4.379

Review 4.  A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy.

Authors:  C O S Sorzano; J Vargas; J Otón; J M de la Rosa-Trevín; J L Vilas; M Kazemi; R Melero; L Del Caño; J Cuenca; P Conesa; J Gómez-Blanco; R Marabini; J M Carazo
Journal:  Biomed Res Int       Date:  2017-09-17       Impact factor: 3.411

5.  Accelerating electron tomography reconstruction algorithm ICON with GPU.

Authors:  Yu Chen; Zihao Wang; Jingrong Zhang; Lun Li; Xiaohua Wan; Fei Sun; Fa Zhang
Journal:  Biophys Rep       Date:  2017-07-04

6.  The advent of structural biology in situ by single particle cryo-electron tomography.

Authors:  Jesús G Galaz-Montoya; Steven J Ludtke
Journal:  Biophys Rep       Date:  2017-05-29

7.  Multichannel Signals Reconstruction Based on Tunable Q-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines.

Authors:  Qing Li; Wei Hu; Erfei Peng; Steven Y Liang
Journal:  Entropy (Basel)       Date:  2018-04-10       Impact factor: 2.524

8.  Compressed Sensing Electron Tomography for Determining Biological Structure.

Authors:  Matthew D Guay; Wojciech Czaja; Maria A Aronova; Richard D Leapman
Journal:  Sci Rep       Date:  2016-06-13       Impact factor: 4.379

9.  Compressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens.

Authors:  Jan Böhning; Tanmay A M Bharat; Sean M Collins
Journal:  Structure       Date:  2022-01-19       Impact factor: 5.006

  9 in total

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