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To monitor changes of the aNSC sheet and follow the behavior of individual cells over time, we imaged the same volume every 2-4 days in each animal and used spatial registration of imaging datasets to align the time points down to the cellular level.
These microstructural alterations can be modeled in animals and can be measured using stereological methods applied to imaging datasets.
Motivation: High-spatial resolution imaging datasets of mammalian brains have recently become available in unprecedented amounts.
Partially parallel imaging datasets were reconstructed using a GRAPPA-based algorithm.
Even if only one-third of them represent unique imaging datasets, there are clearly a plethora of imaging datasets of the human brain in various states that could be shared, reused or aggregated for novel analyses.
The images were segmented using the segmentation techniques described in detail previously [ 21, 22] to obtain accurate 3D imaging datasets.
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Here we identify intrinsic neural markers for risk tolerance in a large (n = 108) multimodal imaging dataset of healthy young adults, which includes anatomical and resting-state functional MRI and diffusion tensor imaging.
The submitted exemplary dataset represents the first fully functional (independent of vendor software) MS imaging dataset that is publically available and that can be used freely for subsequent reprocessing and interpretation (the original publication [ 14] should be referenced in this case).
The ASL imaging dataset consisted of two images, a perfusion-weighted image (PWI) and a proton density image (PD), that were required for CBF calculation [ 16].
At a single line in a hyperspectral imaging dataset, the different models combining hyperspectral imaging with OCT were applied.
When count statistics are low in an imaging dataset, residual scatter counts may remain in regions of cold (i.e., no) activity, and the data supports this theory.
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