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Publisher: Nature Publishing Group
Journal: Scientific Reports
Languages: English
Types: Article
Subjects: Article
Visualizing fast micrometer scale internal movements of small animals is a key challenge for functional anatomy, physiology and biomechanics. We combine phase contrast tomographic microscopy (down to 3.3 μm voxel size) with retrospective, projection-based gating (in the order of hundreds of microseconds) to improve the spatiotemporal resolution by an order of magnitude over previous studies. We demonstrate our method by visualizing 20 three-dimensional snapshots through the 150 Hz oscillations of the blowfly flight motor.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 226716, and from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 204513 to GKT. The instrumentation was supported through PSI FOKO grant to RM and SLS proposals #20100810 and #20110908 granted to HGK. SMW is supported by a Royal Society University Research Fellowship. The authors would like to thank G. Lovric for radiation dose calculations, G. Mikuljian for workshop support and S. Irvine for useful discussions and guidance on phase retrieval.
    • How to cite this article: Mokso, R. et al. Four-dimensional in vivo X-ray microscopy with projection-guided gating. Sci. Rep. 5, 8727; DOI:10.1038/srep08727 (2015).
    • This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
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  • Discovered through pilot similarity algorithms. Send us your feedback.

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  • EC | ELISA
  • EC | DCBIF

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