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A synchrotron X-ray imaging strategy to map large animal brains
•X-ray microtomography tested successfully for whole animal brain imaging.•Whole brain mapping demonstrated on two animal models, Drosophila and mouse.•Isotropic high spatial resolution sufficient for the mapping of neural networks.•The imaging strategy implemented at four synchrotron facilities in...
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Published in: | Chinese journal of physics (Taipei) 2020-06, Vol.65, p.24-32 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •X-ray microtomography tested successfully for whole animal brain imaging.•Whole brain mapping demonstrated on two animal models, Drosophila and mouse.•Isotropic high spatial resolution sufficient for the mapping of neural networks.•The imaging strategy implemented at four synchrotron facilities in parallel.•Imaging speed allows the mapping of an entire human brain in few years.
Mapping the large neural networks of animal and human brains is a fundamental but so far elusive task, because of the massive amount of data and the consequent prohibitively long image taking and processing times. We developed an effective strategy called “AXON” (Accelerated X-ray Observation of Neurons) to solve this problem. AXON can achieve comprehensive whole-brain mapping within a reasonable time by combining fast image taking and processing, plus two other critical performances: three-dimensional (3D) imaging with high and isotropic spatial resolution, and multi-scale resolution. We successfully tested this strategy with coordinated experiments at four synchrotron facilities in Japan, Taiwan, Singapore and Korea on two animal models, Drosophila and mouse. Its performances notably allowed full 3D mapping of the Drosophila brain in a few days. With reasonable improvements, AXON can deliver full mapping of large animal and human brains on a realistic time scale of a few years. |
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ISSN: | 0577-9073 |
DOI: | 10.1016/j.cjph.2020.01.010 |