Work

Iterative reconstruction tensor tomography (IRTT) codes and demonstration datasets

Year: 2019

Type: dataset

Abstract: Here we include the codes and demonstration datasets for the iterative reconstruction tensor tomography (IRTT) algorithm, which is published in: High-speed tensor tomography: iterative reconstruction tensor tomography (IRTT) algorithm. Gao, Z., Guizar-Sicairos, M., Lutz-Bueno, V., Schröter, A., Liebi, M., Rudin, M. & Georgiadis, M. (2019). Acta Cryst. A75, https://doi.org/10.1107/S2053273318017394.

Source: Figshare

DOI: 10.5281/zenodo.1480588

Authors: Gao, Zirui, Guizar-Sicairos, Manuel, Lutz-Bueno, Viviane, Schröter, Aileen, Liebi, Marianne, Rudin, Markus, Georgiadis, Marios

Institutions: Paul Scherrer Institute, ETH Zurich, Chalmers University of Technology, New York University, Stanford University

Language: English

Topic: Advanced X-ray Imaging Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: Temporal tomographic synthesis for nanoscale characterization of electrode materials, X-ray scattering for brain tissue structure and organization

OpenAlex ID: W6930818684

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