Published October 2015 | Version v1
Journal article

The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography

  • 1. iMinds-Vision Lab, University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk (Belgium)
  • 2. Centrum Wiskunde & Informatica, Science Park 123, NL-1098 XG Amsterdam (Netherlands)
  • 3. Electron Microscopy for Materials Science, University of Antwerp, Groenenborgerlaan 171, B-2020 Wilrijk (Belgium)
  • 4. Mathematical Institute, Leiden University, P.O. Box 9512, NL-2300 RA Leiden (Netherlands)

Description

We present the ASTRA Toolbox as an open platform for 3D image reconstruction in tomography. Most of the software tools that are currently used in electron tomography offer limited flexibility with respect to the geometrical parameters of the acquisition model and the algorithms used for reconstruction. The ASTRA Toolbox provides an extensive set of fast and flexible building blocks that can be used to develop advanced reconstruction algorithms, effectively removing these limitations. We demonstrate this flexibility, the resulting reconstruction quality, and the computational efficiency of this toolbox by a series of experiments, based on experimental dual-axis tilt series. - Highlights: • The ASTRA Toolbox is an open platform for 3D image reconstruction in tomography. • Advanced reconstruction algorithms can be prototyped using the fast and flexible building blocks. • This flexibility is demonstrated on a common use case: dual-axis tilt series reconstruction with prior knowledge. • The computational efficiency is validated on an experimentally measured tilt series

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ultramic.2015.05.002

Additional details

Identifiers

DOI
10.1016/j.ultramic.2015.05.002;
PII
S0304-3991(15)00106-0;

Publishing Information

Journal Title
Ultramicroscopy (Amsterdam)
Journal Volume
157
Journal Page Range
p. 35-47
ISSN
0304-3991
CODEN
ULTRD6

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47038229
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALGORITHMS; COMPUTER CODES; EFFICIENCY; ELECTRONS; IMAGE PROCESSING; TOMOGRAPHY
Descriptors DEC
DIAGNOSTIC TECHNIQUES; ELEMENTARY PARTICLES; FERMIONS; LEPTONS; MATHEMATICAL LOGIC; PROCESSING

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.