Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Image processing pipeline for synchrotron-radiation-based tomographic microscopy

Hintermüller, C; Marone, F; Isenegger, A; Stampanoni, M (2010). Image processing pipeline for synchrotron-radiation-based tomographic microscopy. Journal of Synchrotron Radiation, 17(4):550-559.

Abstract

With synchrotron-radiation-based tomographic microscopy, three-dimensional structures down to the micrometer level can be visualized. Tomographic data sets typically consist of 1000 to 1500 projections of 1024 x 1024 to 2048 x 2048 pixels and are acquired in 5-15 min. A processing pipeline has been developed to handle this large amount of data efficiently and to reconstruct the tomographic volume within a few minutes after the end of a scan. Just a few seconds after the raw data have been acquired, a selection of reconstructed slices is accessible through a web interface for preview and to fine tune the reconstruction parameters. The same interface allows initiation and control of the reconstruction process on the computer cluster. By integrating all programs and tools, required for tomographic reconstruction into the pipeline, the necessary user interaction is reduced to a minimum. The modularity of the pipeline allows functionality for new scan protocols to be added, such as an extended field of view, or new physical signals such as phase-contrast or dark-field imaging etc.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Physical Sciences > Radiation
Physical Sciences > Nuclear and High Energy Physics
Physical Sciences > Instrumentation
Language:English
Date:2010
Deposited On:30 Jan 2011 20:52
Last Modified:14 Jan 2025 04:32
Publisher:International Union of Crystallography
ISSN:0909-0495
OA Status:Closed
Publisher DOI:https://doi.org/10.1107/S0909049510011830
PubMed ID:20567088
Full text not available from this repository.

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
53 citations in Web of Science®
58 citations in Scopus®
Google Scholar™

Altmetrics

Authors, Affiliations, Collaborations

Similar Publications