Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes
Abstract
Here, we investigate the effects of angular diversity on image-reconstruction quality of scanning-probe x-ray tomography for both fly- and step-mode data collection. We propose probe-coverage maps as a tool for both visualizing and quantifying the distribution of probe interactions with the object. We show that data sampling with more angular diversity yields better tomographic image reconstruction as long as it does not come at the cost of not covering some voxels in the object. Therefore, for fly-mode data collection, rotation-as-fast-axis (RAFA) trajectories are superior to raster or other non-RAFA trajectories because they allow for the increasing of angular diversity without sacrificing spatial coverage uniformity. In contrast, for step-mode data collection and a fixed measurement budget, increasing angular diversity can come at the cost of not covering some voxels, and may not be desired. This study has implications for how scanning-probe microscopes should be collecting data in order to make the most of limited resources.
- Authors:
-
- Argonne National Lab. (ANL), Lemont, IL (United States)
- Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
- Argonne National Lab. (ANL), Lemont, IL (United States); Northwestern Univ., Evanston, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1480307
- Alternate Identifier(s):
- OSTI ID: 1477136
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Optics
- Additional Journal Information:
- Journal Volume: 57; Journal Issue: 30; Journal ID: ISSN 1559-128X
- Publisher:
- Optical Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; Metrics; Tomography
Citation Formats
Ching, Daniel J., Hidayetoğlu, Mert, Biçer, Tekin, and Gürsoy, Doğa. Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes. United States: N. p., 2018.
Web. doi:10.1364/AO.57.008780.
Ching, Daniel J., Hidayetoğlu, Mert, Biçer, Tekin, & Gürsoy, Doğa. Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes. United States. https://doi.org/10.1364/AO.57.008780
Ching, Daniel J., Hidayetoğlu, Mert, Biçer, Tekin, and Gürsoy, Doğa. Thu .
"Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes". United States. https://doi.org/10.1364/AO.57.008780. https://www.osti.gov/servlets/purl/1480307.
@article{osti_1480307,
title = {Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes},
author = {Ching, Daniel J. and Hidayetoğlu, Mert and Biçer, Tekin and Gürsoy, Doğa},
abstractNote = {Here, we investigate the effects of angular diversity on image-reconstruction quality of scanning-probe x-ray tomography for both fly- and step-mode data collection. We propose probe-coverage maps as a tool for both visualizing and quantifying the distribution of probe interactions with the object. We show that data sampling with more angular diversity yields better tomographic image reconstruction as long as it does not come at the cost of not covering some voxels in the object. Therefore, for fly-mode data collection, rotation-as-fast-axis (RAFA) trajectories are superior to raster or other non-RAFA trajectories because they allow for the increasing of angular diversity without sacrificing spatial coverage uniformity. In contrast, for step-mode data collection and a fixed measurement budget, increasing angular diversity can come at the cost of not covering some voxels, and may not be desired. This study has implications for how scanning-probe microscopes should be collecting data in order to make the most of limited resources.},
doi = {10.1364/AO.57.008780},
journal = {Applied Optics},
number = 30,
volume = 57,
place = {United States},
year = {Thu Oct 11 00:00:00 EDT 2018},
month = {Thu Oct 11 00:00:00 EDT 2018}
}
Web of Science
Figures / Tables:
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