Ptychographic X-ray computed tomography at the nanoscale
Ptychographic X-ray computed tomography at the nanoscale
X-ray tomography is an invaluable tool in biomedical imaging. It can deliver the three-dimensional internal structure of entire organisms as well as that of single cells, and even gives access to quantitative information, crucially important both for medical applications and for basic research1, 2, 3, 4. Most frequently such information is based on X-ray attenuation. Phase contrast is sometimes used for improved visibility but remains significantly harder to quantify5, 6. Here we describe an X-ray computed tomography technique that generates quantitative high-contrast three-dimensional electron density maps from phase contrast information without reverting to assumptions of a weak phase object or negligible absorption. This method uses a ptychographic coherent imaging approach to record tomographic data sets, exploiting both the high penetration power of hard X-rays and the high sensitivity of lensless imaging7, 8, 9. As an example, we present images of a bone sample in which structures on the 100?nm length scale such as the osteocyte lacunae and the interconnective canalicular network are clearly resolved. The recovered electron density map provides a contrast high enough to estimate nanoscale bone density variations of less than one per cent. We expect this high-resolution tomography technique to provide invaluable information for both the life and materials sciences
ptychographic X-ray computed tomography at thenanoscale
436-439
Dierolf, Martin
81ac7cac-fc48-4d39-8154-6788b06c2478
Menzel, Andreas
82ceca70-40ae-40f2-81c4-07c3f485bc15
Thibault, Pierre
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Schneider, Philipp
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Kewish, Cameron M.
e8bcf153-2049-4503-9b05-0678849cdcde
Wepf, Roger
990f9d94-58da-41a5-8059-4d08a3ae0784
Bunk, Oliver
9833fa0b-2541-49c4-8e4b-9770064d2806
Pfeiffer, Franz
90bfb684-c442-458c-8f10-64d0e89cbef1
September 2010
Dierolf, Martin
81ac7cac-fc48-4d39-8154-6788b06c2478
Menzel, Andreas
82ceca70-40ae-40f2-81c4-07c3f485bc15
Thibault, Pierre
975a4c7b-6ca9-4958-b362-9eba10ab926b
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Kewish, Cameron M.
e8bcf153-2049-4503-9b05-0678849cdcde
Wepf, Roger
990f9d94-58da-41a5-8059-4d08a3ae0784
Bunk, Oliver
9833fa0b-2541-49c4-8e4b-9770064d2806
Pfeiffer, Franz
90bfb684-c442-458c-8f10-64d0e89cbef1
Dierolf, Martin, Menzel, Andreas, Thibault, Pierre, Schneider, Philipp, Kewish, Cameron M., Wepf, Roger, Bunk, Oliver and Pfeiffer, Franz
(2010)
Ptychographic X-ray computed tomography at the nanoscale.
Nature, 467 (7314), .
(doi:10.1038/nature09419).
(PMID:20864997)
Abstract
X-ray tomography is an invaluable tool in biomedical imaging. It can deliver the three-dimensional internal structure of entire organisms as well as that of single cells, and even gives access to quantitative information, crucially important both for medical applications and for basic research1, 2, 3, 4. Most frequently such information is based on X-ray attenuation. Phase contrast is sometimes used for improved visibility but remains significantly harder to quantify5, 6. Here we describe an X-ray computed tomography technique that generates quantitative high-contrast three-dimensional electron density maps from phase contrast information without reverting to assumptions of a weak phase object or negligible absorption. This method uses a ptychographic coherent imaging approach to record tomographic data sets, exploiting both the high penetration power of hard X-rays and the high sensitivity of lensless imaging7, 8, 9. As an example, we present images of a bone sample in which structures on the 100?nm length scale such as the osteocyte lacunae and the interconnective canalicular network are clearly resolved. The recovered electron density map provides a contrast high enough to estimate nanoscale bone density variations of less than one per cent. We expect this high-resolution tomography technique to provide invaluable information for both the life and materials sciences
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Published date: September 2010
Keywords:
ptychographic X-ray computed tomography at thenanoscale
Organisations:
Bioengineering Group
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Local EPrints ID: 356759
URI: http://eprints.soton.ac.uk/id/eprint/356759
ISSN: 0028-0836
PURE UUID: da63abf0-e68d-471b-91de-cfe1d8137824
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Date deposited: 13 Sep 2013 08:14
Last modified: 15 Mar 2024 03:48
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Contributors
Author:
Martin Dierolf
Author:
Andreas Menzel
Author:
Pierre Thibault
Author:
Cameron M. Kewish
Author:
Roger Wepf
Author:
Oliver Bunk
Author:
Franz Pfeiffer
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