Haberthür, David; Hintermüller, Christoph; Marone, Federica; Schittny, Johannes C; Stampanoni, Marco (2010). Radiation dose optimized lateral expansion of the field of view in synchrotron radiation X-ray tomographic microscopy. Journal of synchrotron radiation, 17(5), pp. 590-9. Oxford: Blackwell Publishing 10.1107/S0909049510019618
Full text not available from this repository.Volumetric data at micrometer level resolution can be acquired within a few minutes using synchrotron-radiation-based tomographic microscopy. The field of view along the rotation axis of the sample can easily be increased by stacking several tomograms, allowing the investigation of long and thin objects at high resolution. On the contrary, an extension of the field of view in the perpendicular direction is non-trivial. This paper presents an acquisition protocol which increases the field of view of the tomographic dataset perpendicular to its rotation axis. The acquisition protocol can be tuned as a function of the reconstruction quality and scanning time. Since the scanning time is proportional to the radiation dose imparted to the sample, this method can be used to increase the field of view of tomographic microscopy instruments while optimizing the radiation dose for radiation-sensitive samples and keeping the quality of the tomographic dataset on the required level. This approach, dubbed wide-field synchrotron radiation tomographic microscopy, can increase the lateral field of view up to five times. The method has been successfully applied for the three-dimensional imaging of entire rat lung acini with a diameter of 4.1 mm at a voxel size of 1.48 microm.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy > Functional Anatomy |
UniBE Contributor: |
Haberthür, David, Schittny, Johannes |
ISSN: |
0909-0495 |
Publisher: |
Blackwell Publishing |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:09 |
Last Modified: |
05 Dec 2022 14:00 |
Publisher DOI: |
10.1107/S0909049510019618 |
PubMed ID: |
20724780 |
Web of Science ID: |
000282083300003 |
URI: |
https://boris.unibe.ch/id/eprint/938 (FactScience: 201535) |
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